🪐 Astronomers Found Two Giant Planets Less Dense Than Cotton Candy
Astronomers have confirmed the existence of two of the puffiest planets ever discovered — gas giants roughly the size of Jupiter, but with densities so low they are less dense than cotton candy.
The pair, named TOI-791 b and TOI-791 c, orbit an F7-type star about 1,110 light-years from Earth in the southern constellation Volans. Their numbers are almost hard to believe: TOI-791 b has an average density of just 0.038 g/cm³, while TOI-791 c comes in at 0.047 g/cm³.
For comparison, Jupiter’s average density is about 1.33 g/cm³. Cotton candy is roughly 0.05 g/cm³. Earth is around 5.5 g/cm³.
That makes these planets not just “fluffy” by astronomical standards — they are among the lowest-density giant planets ever detected.
The discovery, published in Monthly Notices of the Royal Astronomical Society, is especially valuable because the two planets appear to be locked in a rare 5:3 orbital resonance: for every five orbits of the inner planet, the outer one completes almost exactly three. This gravitational interaction slightly shifts the timing of their transits across the star, allowing astronomers to estimate their masses.
🔹 The planets were first spotted by volunteers in the Planet Hunters TESS citizen-science project
🔹 Confirmation required eight years of observations
🔹 Data from the ASTEP telescope at Antarctica’s Concordia Station were crucial
🔹 Each transit lasts more than 11 hours — unusually long for ground-based observations
🔹 Only a handful of systems are known to contain multiple super-puff planets
The leading idea is that these worlds may have relatively small cores surrounded by enormous hydrogen- and helium-rich atmospheres. But exactly how such diffuse planets form — and how they keep their atmospheres for so long — remains an open question.
Important caveat: these measurements come from transits and orbital timing effects, not from direct imaging. The densities are robust within the current model, but the planets’ true atmospheric composition will require follow-up observations — potentially with the James Webb Space Telescope.
Super-puff planets are strange because they sit at the edge of what our planet-formation models can comfortably explain.
If a giant planet can be less dense than cotton candy and still hold itself together, what else is out there that our theories have not yet learned to expect?
📄 Source: https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stag864
#exoplanets #astronomy #space #TESS #superpuffs
Astronomers have confirmed the existence of two of the puffiest planets ever discovered — gas giants roughly the size of Jupiter, but with densities so low they are less dense than cotton candy.
The pair, named TOI-791 b and TOI-791 c, orbit an F7-type star about 1,110 light-years from Earth in the southern constellation Volans. Their numbers are almost hard to believe: TOI-791 b has an average density of just 0.038 g/cm³, while TOI-791 c comes in at 0.047 g/cm³.
For comparison, Jupiter’s average density is about 1.33 g/cm³. Cotton candy is roughly 0.05 g/cm³. Earth is around 5.5 g/cm³.
That makes these planets not just “fluffy” by astronomical standards — they are among the lowest-density giant planets ever detected.
The discovery, published in Monthly Notices of the Royal Astronomical Society, is especially valuable because the two planets appear to be locked in a rare 5:3 orbital resonance: for every five orbits of the inner planet, the outer one completes almost exactly three. This gravitational interaction slightly shifts the timing of their transits across the star, allowing astronomers to estimate their masses.
🔹 The planets were first spotted by volunteers in the Planet Hunters TESS citizen-science project
🔹 Confirmation required eight years of observations
🔹 Data from the ASTEP telescope at Antarctica’s Concordia Station were crucial
🔹 Each transit lasts more than 11 hours — unusually long for ground-based observations
🔹 Only a handful of systems are known to contain multiple super-puff planets
The leading idea is that these worlds may have relatively small cores surrounded by enormous hydrogen- and helium-rich atmospheres. But exactly how such diffuse planets form — and how they keep their atmospheres for so long — remains an open question.
Important caveat: these measurements come from transits and orbital timing effects, not from direct imaging. The densities are robust within the current model, but the planets’ true atmospheric composition will require follow-up observations — potentially with the James Webb Space Telescope.
Super-puff planets are strange because they sit at the edge of what our planet-formation models can comfortably explain.
If a giant planet can be less dense than cotton candy and still hold itself together, what else is out there that our theories have not yet learned to expect?
📄 Source: https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stag864
#exoplanets #astronomy #space #TESS #superpuffs
OUP Academic
ASTEP confirmation of a pair of long-period Jupiter-sized planets with extremely low densities transiting TOI-791
ABSTRACT. Gas giant planets with periods $20~\lt ~P~\lt ~300~\rm d$ orbiting Sun-like stars are a relatively uncommon outcome of planetary formation, and k
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🌋 Yellowstone May Not Be Powered by a Deep Mantle Plume After All
Yellowstone is one of Earth’s most famous supervolcanoes — and for decades, many geologists explained it with a familiar image: a deep mantle plume, a vertical column of hot rock rising from near Earth’s core, similar to the plume that built Hawaii.
A new study in Science suggests a very different mechanism.
Researchers built a high-resolution 3D geodynamic model of western North America and found that Yellowstone’s magma may be supplied not by a deep plume, but by the shallow asthenosphere — the hot, slowly flowing layer of mantle just beneath the rigid lithosphere.
The driver is what the authors call an eastward “mantle wind”: a broad horizontal flow of hot rock moving beneath North America at geologic speeds.
This flow appears to be linked to the ancient Farallon Plate, which began sliding beneath North America tens of millions of years ago. Remnants of that plate still sit deep under the continent. As they continue to sink, they help generate a large-scale mantle flow that pushes hot asthenospheric material toward Yellowstone.
Then comes the key part: as this buoyant material is forced beneath the thick continental lithosphere, the stretching and pressure changes trigger decompression melting — producing magma without requiring a deep plume rising from the core-mantle boundary.
The model also helps explain Yellowstone’s unusual underground plumbing. Competing tectonic forces appear to tear the lithosphere beneath the region, creating a southwest-dipping channel. This channel acts like a pathway for magma to rise, spread and evolve into a vast “magma mush” system rather than a simple, long-lived liquid magma chamber.
Why it matters: supereruptions can eject more than 1,000 cubic kilometers of material, blanket huge regions in ash and affect climate for years. Understanding what actually sustains systems like Yellowstone is crucial for long-term volcanic hazard models.
The big takeaway: Yellowstone may be less like a blowtorch from Earth’s deep interior — and more like a tectonic wound kept active by the slow, hidden motion of an ancient plate.
Source:
https://www.science.org/doi/10.1126/science.ady2027
Readable summary:
https://www.sciencedaily.com/releases/2026/06/260622014317.htm
#Yellowstone #Supervolcano #Geology #EarthScience #Science
Yellowstone is one of Earth’s most famous supervolcanoes — and for decades, many geologists explained it with a familiar image: a deep mantle plume, a vertical column of hot rock rising from near Earth’s core, similar to the plume that built Hawaii.
A new study in Science suggests a very different mechanism.
Researchers built a high-resolution 3D geodynamic model of western North America and found that Yellowstone’s magma may be supplied not by a deep plume, but by the shallow asthenosphere — the hot, slowly flowing layer of mantle just beneath the rigid lithosphere.
The driver is what the authors call an eastward “mantle wind”: a broad horizontal flow of hot rock moving beneath North America at geologic speeds.
This flow appears to be linked to the ancient Farallon Plate, which began sliding beneath North America tens of millions of years ago. Remnants of that plate still sit deep under the continent. As they continue to sink, they help generate a large-scale mantle flow that pushes hot asthenospheric material toward Yellowstone.
Then comes the key part: as this buoyant material is forced beneath the thick continental lithosphere, the stretching and pressure changes trigger decompression melting — producing magma without requiring a deep plume rising from the core-mantle boundary.
The model also helps explain Yellowstone’s unusual underground plumbing. Competing tectonic forces appear to tear the lithosphere beneath the region, creating a southwest-dipping channel. This channel acts like a pathway for magma to rise, spread and evolve into a vast “magma mush” system rather than a simple, long-lived liquid magma chamber.
Why it matters: supereruptions can eject more than 1,000 cubic kilometers of material, blanket huge regions in ash and affect climate for years. Understanding what actually sustains systems like Yellowstone is crucial for long-term volcanic hazard models.
The big takeaway: Yellowstone may be less like a blowtorch from Earth’s deep interior — and more like a tectonic wound kept active by the slow, hidden motion of an ancient plate.
Source:
https://www.science.org/doi/10.1126/science.ady2027
Readable summary:
https://www.sciencedaily.com/releases/2026/06/260622014317.htm
#Yellowstone #Supervolcano #Geology #EarthScience #Science
Science
Tectonic origin of Yellowstone’s translithospheric magma plumbing system
Yellowstone is widely recognized for its crustal magma reservoirs replenished by asthenospheric melts. However, how primary melts traverse the rigid lithosphere and evolve into bimodal volcanism remains unclear. By leveraging multidisciplinary ...
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⚛️ Physicists Create a Strange New Quantum State — the “Fractional Fermi Sea”
Quantum simulators are usually built to recreate known physics in a clean, controllable setting. But a team at the University of Innsbruck has pushed the idea further: they engineered a highly unusual quantum state that appears to go beyond one of the standard frameworks for one-dimensional matter.
The researchers used ultracold cesium atoms confined in one-dimensional tubes and drove them far from equilibrium by cycling the interactions between strongly repulsive and strongly attractive regimes. Normally, this kind of forcing might be expected to heat the system and wash out any structure.
Instead, the atoms reorganized into something unexpectedly ordered.
The state is called a “fractional Fermi sea” — a highly excited, yet stable configuration where particles behave as if the usual occupancy rules have been replaced by a reduced, fractional version. It does not literally rewrite the Pauli exclusion principle, but it realizes behavior long associated with Haldane’s generalized exclusion statistics: particles filling available states in a fractional way.
What makes this especially interesting is that the correlations do not fit neatly into the familiar Tomonaga–Luttinger liquid picture, the classic theory used to describe many one-dimensional quantum systems. The particles show distinctive Friedel oscillations — ripples in density correlations — and decay patterns that point to a new kind of critical quantum phase.
In simple terms: the system is not cold, calm, and sitting in its lowest-energy state. It is highly excited — but not chaotic. Hidden order emerges from the drive.
The theoretical work has now been published in Physical Review Letters, while the companion experimental realization is available as a preprint.
Why it matters: quantum simulators are no longer just “physics replay machines.” They can create and probe states of matter that may be extremely hard — or impossible — to find naturally, opening new ways to study strongly correlated systems, exotic statistics, and future quantum technologies.
The big takeaway: sometimes the deepest order in quantum matter appears not when everything is perfectly still, but when a system is pushed far from equilibrium and refuses to fall apart.
📄 Theory paper: Physical Review Letters 136, 230402 (2026)
https://doi.org/10.1103/j3s5-gjpf
📄 Experimental preprint:
https://arxiv.org/abs/2602.17657
📖 Summary:
https://www.uibk.ac.at/en/newsroom/2026/a-novel-critical-quantum-phase/
#QuantumPhysics #CondensedMatter #QuantumSimulation #Physics
Quantum simulators are usually built to recreate known physics in a clean, controllable setting. But a team at the University of Innsbruck has pushed the idea further: they engineered a highly unusual quantum state that appears to go beyond one of the standard frameworks for one-dimensional matter.
The researchers used ultracold cesium atoms confined in one-dimensional tubes and drove them far from equilibrium by cycling the interactions between strongly repulsive and strongly attractive regimes. Normally, this kind of forcing might be expected to heat the system and wash out any structure.
Instead, the atoms reorganized into something unexpectedly ordered.
The state is called a “fractional Fermi sea” — a highly excited, yet stable configuration where particles behave as if the usual occupancy rules have been replaced by a reduced, fractional version. It does not literally rewrite the Pauli exclusion principle, but it realizes behavior long associated with Haldane’s generalized exclusion statistics: particles filling available states in a fractional way.
What makes this especially interesting is that the correlations do not fit neatly into the familiar Tomonaga–Luttinger liquid picture, the classic theory used to describe many one-dimensional quantum systems. The particles show distinctive Friedel oscillations — ripples in density correlations — and decay patterns that point to a new kind of critical quantum phase.
In simple terms: the system is not cold, calm, and sitting in its lowest-energy state. It is highly excited — but not chaotic. Hidden order emerges from the drive.
The theoretical work has now been published in Physical Review Letters, while the companion experimental realization is available as a preprint.
Why it matters: quantum simulators are no longer just “physics replay machines.” They can create and probe states of matter that may be extremely hard — or impossible — to find naturally, opening new ways to study strongly correlated systems, exotic statistics, and future quantum technologies.
The big takeaway: sometimes the deepest order in quantum matter appears not when everything is perfectly still, but when a system is pushed far from equilibrium and refuses to fall apart.
📄 Theory paper: Physical Review Letters 136, 230402 (2026)
https://doi.org/10.1103/j3s5-gjpf
📄 Experimental preprint:
https://arxiv.org/abs/2602.17657
📖 Summary:
https://www.uibk.ac.at/en/newsroom/2026/a-novel-critical-quantum-phase/
#QuantumPhysics #CondensedMatter #QuantumSimulation #Physics
Physical Review Letters
Exotic Critical States as Fractional Fermi Seas in the One-Dimensional Bose Gas
Critical quantum field theories occupy a central position in modern theoretical physics for their inherent universality stemming from long-range correlations. As an example, the Tomonaga-Luttinger liquid (TLL) describes a wealth of one-dimensional quantum…
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🤖 The Transformer Era Is Evolving — NVIDIA’s New Hybrid Model Shows What May Come Next
NVIDIA has released Nemotron 3 Ultra, a 550-billion-parameter open model that matters less for its size than for what sits under the hood.
Instead of being a classic Transformer-only system, Nemotron 3 Ultra uses a hybrid architecture: a Latent Mixture-of-Experts design that interleaves Mamba-2 state-space layers with selected attention layers. In simple terms, NVIDIA is not throwing Transformers away — it is replacing some of the expensive attention machinery with more efficient sequence-processing components, while keeping attention where precision still matters.
The numbers are serious: 550B total parameters, 55B active per token, up to a 1-million-token context window, and Multi-Token Prediction layers for faster generation through native speculative decoding. NVIDIA has released the model weights, data, and recipes under the OpenMDW-1.1 license, making this one of the most ambitious open-weight frontier model releases so far.
The benchmarks are also impressive. NVIDIA reports 71.9% on SWE-Bench Verified, 87.0% on GPQA without tools, 56.4 on Terminal Bench 2.1, and strong long-context performance on RULER at 1M tokens.
But the real story is architectural.
For years, the Transformer has been the default architecture behind modern AI. Its weakness is also well known: standard attention becomes increasingly expensive as context grows. Mamba-style state-space layers offer a different way to process long sequences more efficiently. Nemotron 3 Ultra suggests that the next generation of large models may not be “Transformer vs. Mamba,” but carefully engineered hybrids that combine both.
Nikolas Bush Take
The honest caveat: these are NVIDIA’s own benchmark numbers, and real-world agentic performance is always messier than leaderboard scores. A 71.9% SWE-Bench Verified result is impressive, but it still means the model fails a meaningful share of real software-engineering tasks.
The big takeaway: the Transformer is not dead. But its monopoly may be ending. The future of frontier AI may look less like one dominant architecture — and more like modular systems where attention, state-space layers, MoE routing, long-context memory, and inference-time reasoning are mixed together for efficiency and performance.
Sources:
• NVIDIA Nemotron 3 Ultra Model Card
https://build.nvidia.com/nvidia/nemotron-3-ultra-550b-a55b/modelcard
• NVIDIA Research: Nemotron 3 Ultra
https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/
• NVIDIA Technical Blog
https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-powers-faster-more-efficient-reasoning-for-long-running-agents/
#Nemotron3 #NVIDIA #MambaArchitecture #AI #OpenWeights #StateSpaceModels #Transformers
NVIDIA has released Nemotron 3 Ultra, a 550-billion-parameter open model that matters less for its size than for what sits under the hood.
Instead of being a classic Transformer-only system, Nemotron 3 Ultra uses a hybrid architecture: a Latent Mixture-of-Experts design that interleaves Mamba-2 state-space layers with selected attention layers. In simple terms, NVIDIA is not throwing Transformers away — it is replacing some of the expensive attention machinery with more efficient sequence-processing components, while keeping attention where precision still matters.
The numbers are serious: 550B total parameters, 55B active per token, up to a 1-million-token context window, and Multi-Token Prediction layers for faster generation through native speculative decoding. NVIDIA has released the model weights, data, and recipes under the OpenMDW-1.1 license, making this one of the most ambitious open-weight frontier model releases so far.
The benchmarks are also impressive. NVIDIA reports 71.9% on SWE-Bench Verified, 87.0% on GPQA without tools, 56.4 on Terminal Bench 2.1, and strong long-context performance on RULER at 1M tokens.
But the real story is architectural.
For years, the Transformer has been the default architecture behind modern AI. Its weakness is also well known: standard attention becomes increasingly expensive as context grows. Mamba-style state-space layers offer a different way to process long sequences more efficiently. Nemotron 3 Ultra suggests that the next generation of large models may not be “Transformer vs. Mamba,” but carefully engineered hybrids that combine both.
Nikolas Bush Take
The Mamba moment has arrived — but not as a revolution overnight. NVIDIA did not ship a pure state-space model. It shipped a pragmatic hybrid. That is probably the pattern to watch: keep attention where it creates value, replace it where it becomes too expensive.
Open-weight frontier models are now strategic infrastructure. NVIDIA is not just selling GPUs anymore. By releasing serious open models, datasets, and recipes, it is pulling developers deeper into its full-stack AI ecosystem — hardware, software, inference, agents, and deployment.
The next AI race may be less about raw parameter count and more about architecture, inference efficiency, data quality, and agentic reliability. A 55B-active model with strong benchmark results is a signal that “useful scale” is becoming more nuanced than simply making models bigger.
The honest caveat: these are NVIDIA’s own benchmark numbers, and real-world agentic performance is always messier than leaderboard scores. A 71.9% SWE-Bench Verified result is impressive, but it still means the model fails a meaningful share of real software-engineering tasks.
The big takeaway: the Transformer is not dead. But its monopoly may be ending. The future of frontier AI may look less like one dominant architecture — and more like modular systems where attention, state-space layers, MoE routing, long-context memory, and inference-time reasoning are mixed together for efficiency and performance.
Sources:
• NVIDIA Nemotron 3 Ultra Model Card
https://build.nvidia.com/nvidia/nemotron-3-ultra-550b-a55b/modelcard
• NVIDIA Research: Nemotron 3 Ultra
https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/
• NVIDIA Technical Blog
https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-powers-faster-more-efficient-reasoning-for-long-running-agents/
#Nemotron3 #NVIDIA #MambaArchitecture #AI #OpenWeights #StateSpaceModels #Transformers
NVIDIA NIM
nemotron-3-ultra-550b-a55b Model by NVIDIA | NVIDIA NIM
Open, efficient hybrid Mamba-Transformer MoE with 1M context, excelling in agentic reasoning, coding, planning, tool calling, and more
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🧬 Scientists May Have Found a New Way to Mass-Produce Cancer-Fighting Immune Cells
For more than a decade, cancer immunotherapy has been dominated by T cells. CAR-T therapies can be powerful against some blood cancers, but they remain expensive, highly personalized, and much harder to use against solid tumors.
Now researchers at USC Stem Cell have shifted attention to a different immune lineage: granulocyte-monocyte progenitors, or GMPs — early precursor cells that can produce macrophages, the immune system’s “first responders.”
Macrophages are especially interesting because they naturally enter tumors, engulf abnormal cells, and help coordinate immune responses. But mature macrophages are difficult to grow in large numbers, hard to genetically engineer, and not ideal for freezing and storage.
The USC team worked one step earlier — with GMPs before they mature. Using a defined chemical cocktail, they managed to keep mouse and human GMPs in a progenitor-like state while allowing them to expand long-term in the lab. That is important because long-term self-renewal in the blood system was traditionally associated mainly with true hematopoietic stem cells, not more committed progenitors.
Then the researchers engineered these GMPs with CAR receptors so they could recognize cancer cells. They also added a CAR-Fc design that can recruit other immune cells and help activate broader anti-tumor responses.
In mouse experiments, the engineered GMPs settled into bone marrow and other blood-forming tissues, where they continuously generated tumor-infiltrating macrophages and other myeloid cells. The cells suppressed CD19-positive leukemia and HER2-positive solid tumors, and the dual CAR-Fc design showed stronger effects in allogeneic cancer models.
The same platform also restored antibacterial defense in mice with chronic granulomatous disease, an inherited immune deficiency disorder.
Why this matters: this is not just another CAR-T variant. It is a possible manufacturing breakthrough for an entirely different branch of the immune system — one that may be better suited for solid tumors and potentially easier to produce as an off-the-shelf therapy.
The important caveat: these are still preclinical results in mice. The real test will be whether the platform is safe, durable, and effective in humans.
But the idea is powerful: instead of only engineering mature immune cells, scientists may be learning how to grow a renewable upstream factory that keeps producing cancer-fighting cells from inside the body.
Paper: Cell
https://www.cell.com/cell/fulltext/S0092-8674(26)00643-4
Summary: ScienceDaily
https://www.sciencedaily.com/releases/2026/06/260620100317.htm
#Immunotherapy #Cancer #StemCells #CellTherapy #Biotech
For more than a decade, cancer immunotherapy has been dominated by T cells. CAR-T therapies can be powerful against some blood cancers, but they remain expensive, highly personalized, and much harder to use against solid tumors.
Now researchers at USC Stem Cell have shifted attention to a different immune lineage: granulocyte-monocyte progenitors, or GMPs — early precursor cells that can produce macrophages, the immune system’s “first responders.”
Macrophages are especially interesting because they naturally enter tumors, engulf abnormal cells, and help coordinate immune responses. But mature macrophages are difficult to grow in large numbers, hard to genetically engineer, and not ideal for freezing and storage.
The USC team worked one step earlier — with GMPs before they mature. Using a defined chemical cocktail, they managed to keep mouse and human GMPs in a progenitor-like state while allowing them to expand long-term in the lab. That is important because long-term self-renewal in the blood system was traditionally associated mainly with true hematopoietic stem cells, not more committed progenitors.
Then the researchers engineered these GMPs with CAR receptors so they could recognize cancer cells. They also added a CAR-Fc design that can recruit other immune cells and help activate broader anti-tumor responses.
In mouse experiments, the engineered GMPs settled into bone marrow and other blood-forming tissues, where they continuously generated tumor-infiltrating macrophages and other myeloid cells. The cells suppressed CD19-positive leukemia and HER2-positive solid tumors, and the dual CAR-Fc design showed stronger effects in allogeneic cancer models.
The same platform also restored antibacterial defense in mice with chronic granulomatous disease, an inherited immune deficiency disorder.
Why this matters: this is not just another CAR-T variant. It is a possible manufacturing breakthrough for an entirely different branch of the immune system — one that may be better suited for solid tumors and potentially easier to produce as an off-the-shelf therapy.
The important caveat: these are still preclinical results in mice. The real test will be whether the platform is safe, durable, and effective in humans.
But the idea is powerful: instead of only engineering mature immune cells, scientists may be learning how to grow a renewable upstream factory that keeps producing cancer-fighting cells from inside the body.
Paper: Cell
https://www.cell.com/cell/fulltext/S0092-8674(26)00643-4
Summary: ScienceDaily
https://www.sciencedaily.com/releases/2026/06/260620100317.htm
#Immunotherapy #Cancer #StemCells #CellTherapy #Biotech
Cell
Expansion and CAR engineering of granulocyte-monocyte progenitors for cellular immunotherapy
This study establishes granulocyte-monocyte progenitors as a renewable upstream platform
for engineered myeloid cell therapy and introduces a CAR-Fc strategy that couples
direct tumor targeting to host antigen-presenting cell activation.
for engineered myeloid cell therapy and introduces a CAR-Fc strategy that couples
direct tumor targeting to host antigen-presenting cell activation.
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🌞 The Sun Is Waking Up Fast — A Major X-Class Solar Flare Could Happen at Any Moment
Solar activity has accelerated dramatically over the past 48 hours, and space weather scientists are watching closely.
The number of solar flares has surged from 5 per day two days ago, to 8 yesterday, and 17 within the last 24 hours. This morning, the Sun produced its first M-class flares of the current activity spike — leaving only the most powerful category, X-class, yet to appear.
What’s making scientists especially cautious is the location of the Sun’s largest active region of 2026. It is currently facing almost directly toward Earth. Surprisingly, despite its enormous size, it has not yet produced a single X-class flare. Earlier this year, another large sunspot group generated five X-class flares, including the year’s strongest event, X8.1. That makes the current quietness look more like the calm before the storm than a sign of stability.
Space-based observations reveal an even more intriguing picture. Two giant sunspot groups that appear separate on the solar surface are actually connected high above it in the corona, forming a single, highly complex magnetic system. These intertwined magnetic fields continuously exchange energy. On one hand, this can relieve local magnetic stress. On the other, it effectively creates one enormous energy reservoir capable of producing an exceptionally powerful eruption.
Predicting exactly when that energy will be released remains one of the biggest challenges in solar physics. Most of the Sun’s magnetic field lies hidden beneath the visible surface, beyond direct observation, making even the most sophisticated computer models unreliable for systems this complex.
For now, an X-class solar flare could occur at virtually any time. If accompanied by a coronal mass ejection directed toward Earth, it could trigger strong geomagnetic storms, spectacular auroras at unusually low latitudes, and temporary disruptions to satellites, radio communications, and navigation systems.
🔭 The Sun is reminding us that even after centuries of observation, our nearest star can still surprise us.
#Science #Astronomy #Sun #SolarFlare #SpaceWeather #SolarStorm #Heliophysics
Solar activity has accelerated dramatically over the past 48 hours, and space weather scientists are watching closely.
The number of solar flares has surged from 5 per day two days ago, to 8 yesterday, and 17 within the last 24 hours. This morning, the Sun produced its first M-class flares of the current activity spike — leaving only the most powerful category, X-class, yet to appear.
What’s making scientists especially cautious is the location of the Sun’s largest active region of 2026. It is currently facing almost directly toward Earth. Surprisingly, despite its enormous size, it has not yet produced a single X-class flare. Earlier this year, another large sunspot group generated five X-class flares, including the year’s strongest event, X8.1. That makes the current quietness look more like the calm before the storm than a sign of stability.
Space-based observations reveal an even more intriguing picture. Two giant sunspot groups that appear separate on the solar surface are actually connected high above it in the corona, forming a single, highly complex magnetic system. These intertwined magnetic fields continuously exchange energy. On one hand, this can relieve local magnetic stress. On the other, it effectively creates one enormous energy reservoir capable of producing an exceptionally powerful eruption.
Predicting exactly when that energy will be released remains one of the biggest challenges in solar physics. Most of the Sun’s magnetic field lies hidden beneath the visible surface, beyond direct observation, making even the most sophisticated computer models unreliable for systems this complex.
For now, an X-class solar flare could occur at virtually any time. If accompanied by a coronal mass ejection directed toward Earth, it could trigger strong geomagnetic storms, spectacular auroras at unusually low latitudes, and temporary disruptions to satellites, radio communications, and navigation systems.
🔭 The Sun is reminding us that even after centuries of observation, our nearest star can still surprise us.
#Science #Astronomy #Sun #SolarFlare #SpaceWeather #SolarStorm #Heliophysics
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🦴 A Single Injection Reversed Osteoarthritis in Animals — Human Trials Could Be Next
Osteoarthritis affects roughly one in six people over 30 worldwide. It slowly destroys cartilage — the smooth tissue that keeps bones from grinding against each other — and can eventually damage the bone underneath. Today, most treatments still focus on managing pain, reducing inflammation, or replacing the joint when damage becomes severe.
A Colorado research team is trying to change that.
Scientists from CU Boulder, CU Anschutz, and Colorado State University have developed two experimental regenerative therapies designed not just to relieve symptoms, but to push damaged joints to repair themselves.
The first approach repurposes an existing FDA-approved drug and delivers it through a patented particle system injected directly into the joint. Instead of releasing everything at once, the particles provide therapeutic bursts over several months.
The second is more like a biological repair kit: a cocktail of engineered proteins injected arthroscopically, where it hardens in place and recruits the body’s own progenitor cells to patch defects in cartilage and bone.
The early results are striking. In animal studies, a single injection restored arthritic and injured joints to a healthy state within four to eight weeks. The biomaterial patch produced what lead researcher Stephanie Bryant described as “full regeneration and repair of the defect.” The therapies also showed regenerative effects in human cells taken from patients undergoing joint replacement surgery.
ARPA-H has now advanced the project into its next phase, backed by up to $33.5 million under its NITRO program. A new company, Renovare Therapeutics, has also been formed to move the technology toward commercialization. If the next studies go according to plan, first human trials could begin within about 18 months.
The caveat is important: this is not a treatment available to patients yet. The strongest results so far come from animal models and lab-tested human cells, and the animal findings are still expected to be published in a peer-reviewed journal. Safety, dosing, durability, and real clinical benefit in people all remain to be proven.
But the direction is fascinating.
For hundreds of millions of people with osteoarthritis, the current choice is often painfully limited: manage symptoms for years, or eventually replace the joint. A minimally invasive therapy that tells the body to rebuild cartilage and bone would be a major shift — from pain control to true regeneration.
The big takeaway: the future of chronic joint disease may not be better painkillers. It may be teaching the body how to repair itself again.
📄📄 CU Boulder article: https://www.colorado.edu/today/2026/04/06/simple-shot-shows-promise-reverse-osteoarthritis-within-weeks
📰 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260619101356.htm
#Osteoarthritis #RegenerativeMedicine #Arthritis #Biotech #MedicalScience
Osteoarthritis affects roughly one in six people over 30 worldwide. It slowly destroys cartilage — the smooth tissue that keeps bones from grinding against each other — and can eventually damage the bone underneath. Today, most treatments still focus on managing pain, reducing inflammation, or replacing the joint when damage becomes severe.
A Colorado research team is trying to change that.
Scientists from CU Boulder, CU Anschutz, and Colorado State University have developed two experimental regenerative therapies designed not just to relieve symptoms, but to push damaged joints to repair themselves.
The first approach repurposes an existing FDA-approved drug and delivers it through a patented particle system injected directly into the joint. Instead of releasing everything at once, the particles provide therapeutic bursts over several months.
The second is more like a biological repair kit: a cocktail of engineered proteins injected arthroscopically, where it hardens in place and recruits the body’s own progenitor cells to patch defects in cartilage and bone.
The early results are striking. In animal studies, a single injection restored arthritic and injured joints to a healthy state within four to eight weeks. The biomaterial patch produced what lead researcher Stephanie Bryant described as “full regeneration and repair of the defect.” The therapies also showed regenerative effects in human cells taken from patients undergoing joint replacement surgery.
ARPA-H has now advanced the project into its next phase, backed by up to $33.5 million under its NITRO program. A new company, Renovare Therapeutics, has also been formed to move the technology toward commercialization. If the next studies go according to plan, first human trials could begin within about 18 months.
The caveat is important: this is not a treatment available to patients yet. The strongest results so far come from animal models and lab-tested human cells, and the animal findings are still expected to be published in a peer-reviewed journal. Safety, dosing, durability, and real clinical benefit in people all remain to be proven.
But the direction is fascinating.
For hundreds of millions of people with osteoarthritis, the current choice is often painfully limited: manage symptoms for years, or eventually replace the joint. A minimally invasive therapy that tells the body to rebuild cartilage and bone would be a major shift — from pain control to true regeneration.
The big takeaway: the future of chronic joint disease may not be better painkillers. It may be teaching the body how to repair itself again.
📄📄 CU Boulder article: https://www.colorado.edu/today/2026/04/06/simple-shot-shows-promise-reverse-osteoarthritis-within-weeks
📰 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260619101356.htm
#Osteoarthritis #RegenerativeMedicine #Arthritis #Biotech #MedicalScience
CU Boulder Today
A simple shot shows promise to reverse osteoarthritis within weeks
A CU Boulder-led team has developed a suite of new therapies aimed at reversing osteoarthritis in a single injection. With animal studies showing promise and
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🔭 Astronomers Have Just Opened a New Map of the Black Hole Universe
The LIGO–Virgo–KAGRA collaboration has released GWTC-5.0 — the largest gravitational-wave catalog ever assembled.
It adds 161 new detections from the O4b observing run, bringing the total number of observed gravitational-wave events since 2015 to 390. What began as a handful of almost unbelievable signals has now become a real population study of black holes.
The jump is dramatic. The fourth observing run alone now accounts for roughly 75% of all gravitational-wave events detected so far. In LIGO’s first observing run, scientists detected just three events over about four months. Now the network is catching around 3–4 black hole mergers per week.
And the data are starting to reveal something deeper: black holes do not all form the same way.
Some likely come from pairs of massive stars born together. Others may meet later inside dense stellar clusters. The most intriguing group are “second-generation” black holes — objects that were themselves created in earlier black hole mergers, then merged again. Their clue is unusually rapid spin, which can act like a fingerprint of these repeated cosmic collisions.
A few highlights from the new catalog:
— 390 gravitational-wave events in total
— 161 new detections from O4b
— Black hole masses clustering around ~10 and ~35 solar masses
— Evidence for second-generation black holes from hierarchical mergers
— Best sky localization yet: one event narrowed down to just 6 square degrees
— Clearest black hole signal ever recorded, with a signal-to-noise ratio of 76.9
— A new gravitational-wave measurement of the Hubble constant with ~25% improved precision
Why it matters: gravitational-wave astronomy is no longer just about detecting rare cosmic “chirps.” It is becoming a census of an invisible universe — one that can study black hole populations, test general relativity, probe stellar evolution, and even help measure the expansion rate of the cosmos.
The big takeaway: astronomy no longer needs light alone. We are now listening to spacetime itself — and the signal is turning into a map.
📄 LIGO press release: https://www.ligo.caltech.edu/news/ligo20260526
📖 Summary: https://www.sciencealert.com/lost-world-of-gravitational-waves-reveals-the-origins-of-black-holes
#GravitationalWaves #BlackHoles #LIGO #Astrophysics #Cosmology
The LIGO–Virgo–KAGRA collaboration has released GWTC-5.0 — the largest gravitational-wave catalog ever assembled.
It adds 161 new detections from the O4b observing run, bringing the total number of observed gravitational-wave events since 2015 to 390. What began as a handful of almost unbelievable signals has now become a real population study of black holes.
The jump is dramatic. The fourth observing run alone now accounts for roughly 75% of all gravitational-wave events detected so far. In LIGO’s first observing run, scientists detected just three events over about four months. Now the network is catching around 3–4 black hole mergers per week.
And the data are starting to reveal something deeper: black holes do not all form the same way.
Some likely come from pairs of massive stars born together. Others may meet later inside dense stellar clusters. The most intriguing group are “second-generation” black holes — objects that were themselves created in earlier black hole mergers, then merged again. Their clue is unusually rapid spin, which can act like a fingerprint of these repeated cosmic collisions.
A few highlights from the new catalog:
— 390 gravitational-wave events in total
— 161 new detections from O4b
— Black hole masses clustering around ~10 and ~35 solar masses
— Evidence for second-generation black holes from hierarchical mergers
— Best sky localization yet: one event narrowed down to just 6 square degrees
— Clearest black hole signal ever recorded, with a signal-to-noise ratio of 76.9
— A new gravitational-wave measurement of the Hubble constant with ~25% improved precision
Why it matters: gravitational-wave astronomy is no longer just about detecting rare cosmic “chirps.” It is becoming a census of an invisible universe — one that can study black hole populations, test general relativity, probe stellar evolution, and even help measure the expansion rate of the cosmos.
The big takeaway: astronomy no longer needs light alone. We are now listening to spacetime itself — and the signal is turning into a map.
📄 LIGO press release: https://www.ligo.caltech.edu/news/ligo20260526
📖 Summary: https://www.sciencealert.com/lost-world-of-gravitational-waves-reveals-the-origins-of-black-holes
#GravitationalWaves #BlackHoles #LIGO #Astrophysics #Cosmology
LIGO Lab | Caltech
GWTC-5.0: Updated LIGO–Virgo–KAGRA Catalog sets new records in precision gravitational wave astronomy
The LIGO–Virgo–KAGRA Collaboration released today a new catalog of gravitational wave events. A total of 161 events, detected between April 2024 and the end of January 2025, have been added to the collection, bringing the total number of gravitational wave…
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⏳ Scientists Found a Way to Make Quantum Time Look Like It Runs Backward
At our everyday scale, time has a clear direction. Eggs break, coffee cools, and no one has ever un-spilled a glass of water.
But at the quantum scale, the story is stranger. Many fundamental equations work just as well forward or backward in time. The arrow of time appears when a system is measured — because measurement randomly disturbs its state.
Now researchers from Los Alamos National Laboratory, NIST, and the University of Maryland have developed a theoretical control method that can reshape that arrow.
Their idea is based on a “control Hamiltonian” — a precisely designed sequence of fields and pulses that mimics and counteracts the random disturbance caused by quantum measurement. With the right feedback, the system’s trajectory can be made to look as if it is moving backward rather than forward.
To be clear: this is not a time machine.
No one reversed time for people, objects, or the universe. The work shows that, in a monitored quantum system, the appearance of time’s direction can be weakened, blurred, or even inverted.
The team also used the framework to design a quantum version of Maxwell’s demon — a measurement-powered engine that could, in principle, extract useful energy from the act of observation itself. That energy might one day help drive quantum processes or be stored in a quantum battery.
The caveat: this is still mostly a theoretical result. Experimental tests are planned for superconducting qubits, where fast feedback and quantum Maxwell’s demon setups are already technically plausible.
Why it matters: better control over quantum measurement could help with quantum state preparation, more stable quantum computers, and new ways to manage energy at the smallest scales.
The big takeaway: the arrow of time may feel absolute in daily life — but in the quantum world, it can become something engineers may learn to control.
📄 Original paper: https://link.aps.org/doi/10.1103/l18s-9vmh
📖 Los Alamos summary: https://www.lanl.gov/media/news/0319-reshaping-quantum-arrow
📖 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260625014802.htm
#QuantumPhysics #ArrowOfTime #QuantumComputing #Physics
At our everyday scale, time has a clear direction. Eggs break, coffee cools, and no one has ever un-spilled a glass of water.
But at the quantum scale, the story is stranger. Many fundamental equations work just as well forward or backward in time. The arrow of time appears when a system is measured — because measurement randomly disturbs its state.
Now researchers from Los Alamos National Laboratory, NIST, and the University of Maryland have developed a theoretical control method that can reshape that arrow.
Their idea is based on a “control Hamiltonian” — a precisely designed sequence of fields and pulses that mimics and counteracts the random disturbance caused by quantum measurement. With the right feedback, the system’s trajectory can be made to look as if it is moving backward rather than forward.
To be clear: this is not a time machine.
No one reversed time for people, objects, or the universe. The work shows that, in a monitored quantum system, the appearance of time’s direction can be weakened, blurred, or even inverted.
The team also used the framework to design a quantum version of Maxwell’s demon — a measurement-powered engine that could, in principle, extract useful energy from the act of observation itself. That energy might one day help drive quantum processes or be stored in a quantum battery.
The caveat: this is still mostly a theoretical result. Experimental tests are planned for superconducting qubits, where fast feedback and quantum Maxwell’s demon setups are already technically plausible.
Why it matters: better control over quantum measurement could help with quantum state preparation, more stable quantum computers, and new ways to manage energy at the smallest scales.
The big takeaway: the arrow of time may feel absolute in daily life — but in the quantum world, it can become something engineers may learn to control.
📄 Original paper: https://link.aps.org/doi/10.1103/l18s-9vmh
📖 Los Alamos summary: https://www.lanl.gov/media/news/0319-reshaping-quantum-arrow
📖 ScienceDaily summary: https://www.sciencedaily.com/releases/2026/06/260625014802.htm
#QuantumPhysics #ArrowOfTime #QuantumComputing #Physics
Physical Review X
Reshaping the Quantum Arrow of Time
A quantum control Hamiltonian is developed that can blur or even reverse the perceived arrow of time in monitored systems, enabling new ways to emulate backward-in-time dynamics and extract energy to power measurement-driven engines.
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🧠 Scientists May Have Found a Missing Link in How Alzheimer’s Kills Brain Cells
For decades, researchers have known that toxic proteins build up in the brains of people with Alzheimer’s disease and other neurodegenerative disorders. But one key question has remained stubbornly difficult:
How exactly does that protein buildup turn into the death of neurons?
A team from King’s College London and the UK Dementia Research Institute has now identified a previously overlooked form of cell death called karyoptosis.
Unlike apoptosis — the well-known “programmed cell death” pathway — karyoptosis appears to attack the cell’s control center first: the nucleus. Under proteotoxic stress, when misfolded proteins accumulate and clump together, the nuclear structure begins to fail. The nucleus shrivels, its supporting scaffold destabilizes, and the cell eventually dies.
The researchers analyzed around 3,000 brain cells from 28 patients with either end-stage Alzheimer’s disease or frontotemporal dementia. In the frontal cortex of Alzheimer’s patients, 35% of cells showed signs of karyoptosis, compared with 15% in healthy older controls.
The key molecular switch appears to involve p38 MAP kinase and LaminB1.
LaminB1 normally helps maintain the structure of the nuclear envelope — the “scaffolding” that keeps the nucleus intact. When toxic proteins accumulate, p38 MAP kinase can destabilize LaminB1, triggering nuclear collapse. In laboratory experiments, blocking this pathway reduced markers of karyoptosis in neurons.
That does not mean scientists have found a cure for Alzheimer’s. This is still early-stage work, and the protective effect has been shown mainly in experimental models, not in living human patients.
But the shift in thinking is important.
Instead of only trying to remove toxic proteins such as amyloid or tau, future therapies might also try to protect neurons from the damage those proteins trigger. In other words: even if the toxic proteins are still there, it may be possible to interrupt the death signal before the cell is lost.
The same mechanism also appears relevant to frontotemporal dementia and ALS models, suggesting karyoptosis may be part of a broader pathway across neurodegenerative disease.
Dementia affects around 57 million people worldwide, and Alzheimer’s disease accounts for roughly 60–70% of cases. Any new route to slowing neuron loss matters — but this one is still a biological roadmap, not a treatment.
The big takeaway:
Sometimes the most important question is not only “what causes the damage?”
It is: what chain reaction does the damage trigger — and can we stop it in time?
Original paper: https://www.nature.com/articles/s41467-026-73802-w
Summary: https://www.sciencedaily.com/releases/2026/06/260626124701.htm
#Alzheimers #Neuroscience #Dementia #BrainHealth #Science
For decades, researchers have known that toxic proteins build up in the brains of people with Alzheimer’s disease and other neurodegenerative disorders. But one key question has remained stubbornly difficult:
How exactly does that protein buildup turn into the death of neurons?
A team from King’s College London and the UK Dementia Research Institute has now identified a previously overlooked form of cell death called karyoptosis.
Unlike apoptosis — the well-known “programmed cell death” pathway — karyoptosis appears to attack the cell’s control center first: the nucleus. Under proteotoxic stress, when misfolded proteins accumulate and clump together, the nuclear structure begins to fail. The nucleus shrivels, its supporting scaffold destabilizes, and the cell eventually dies.
The researchers analyzed around 3,000 brain cells from 28 patients with either end-stage Alzheimer’s disease or frontotemporal dementia. In the frontal cortex of Alzheimer’s patients, 35% of cells showed signs of karyoptosis, compared with 15% in healthy older controls.
The key molecular switch appears to involve p38 MAP kinase and LaminB1.
LaminB1 normally helps maintain the structure of the nuclear envelope — the “scaffolding” that keeps the nucleus intact. When toxic proteins accumulate, p38 MAP kinase can destabilize LaminB1, triggering nuclear collapse. In laboratory experiments, blocking this pathway reduced markers of karyoptosis in neurons.
That does not mean scientists have found a cure for Alzheimer’s. This is still early-stage work, and the protective effect has been shown mainly in experimental models, not in living human patients.
But the shift in thinking is important.
Instead of only trying to remove toxic proteins such as amyloid or tau, future therapies might also try to protect neurons from the damage those proteins trigger. In other words: even if the toxic proteins are still there, it may be possible to interrupt the death signal before the cell is lost.
The same mechanism also appears relevant to frontotemporal dementia and ALS models, suggesting karyoptosis may be part of a broader pathway across neurodegenerative disease.
Dementia affects around 57 million people worldwide, and Alzheimer’s disease accounts for roughly 60–70% of cases. Any new route to slowing neuron loss matters — but this one is still a biological roadmap, not a treatment.
The big takeaway:
Sometimes the most important question is not only “what causes the damage?”
It is: what chain reaction does the damage trigger — and can we stop it in time?
Original paper: https://www.nature.com/articles/s41467-026-73802-w
Summary: https://www.sciencedaily.com/releases/2026/06/260626124701.htm
#Alzheimers #Neuroscience #Dementia #BrainHealth #Science
Nature
Karyoptosis mediates cell death and neurodegeneration upon proteotoxic stress
Nature Communications - This study characterizes karyoptosis as a mechanism of neuronal cell death triggered by proteotoxic stress and executed through disintegration of the nuclear lamina, which...
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🧬 Harvard Built a Silicon Chip That Can Write DNA Using Electricity and Water
Writing custom DNA has barely changed in decades. Today’s DNA synthesis relies on phosphoramidite chemistry—a highly effective but solvent-intensive process that depends on hazardous chemicals and specialized manufacturing facilities.
Researchers at Harvard have now demonstrated a completely different approach: parallel enzymatic DNA synthesis on a semiconductor chip, controlled simply by electricity in water.
The CMOS chip contains 64 programmable synthesis sites, each surrounded by two concentric ring electrodes. When current flows through the inner ring, it generates protons that create a tiny acidic region—exactly what’s needed to remove the temporary blocking group from a growing DNA strand. At the same time, the outer ring consumes escaping protons, preventing neighboring reactions from interfering with one another.
Using this approach, the team synthesized 64 different DNA sequences, each 38–39 nucleotides long, entirely in an aqueous enzymatic process. Previous demonstrations of parallel enzymatic DNA synthesis were limited to roughly a dozen sequences, making this the largest demonstration of its kind so far.
The hardware has an unusual history. It was originally developed for recording electrical activity from thousands of neurons. The researchers later realized that the same ability to precisely control microscopic electrical currents could also be used to control chemical reactions needed for DNA synthesis.
Key points:
• 64 unique DNA sequences synthesized in parallel
• Water-based enzymatic process instead of traditional solvent-heavy chemistry
• Precise local pH control using dual concentric electrodes
• DNA strands up to 39 nucleotides long
• Demonstrated storage of a 169-byte text message in the synthesized DNA
The technology is still at an early stage. DNA strands of 39 nucleotides are far shorter than real genes, which typically contain thousands of bases. According to the researchers, the main limitation is now the chemistry used to remove temporary protecting groups—not the chip itself—suggesting that future advances may come from improved chemistry rather than new electronics.
If the method can be scaled, it could eventually make DNA manufacturing cleaner, cheaper, and more accessible for synthetic biology, diagnostics, gene therapies, and even DNA-based data storage, one of the highest-density storage media ever proposed.
📄 Nature Electronics: https://www.nature.com/articles/s41928-026-01662-9
🏛 Harvard SEAS: https://seas.harvard.edu/news/making-dna-semiconductor-chip
#DNA #SyntheticBiology #Biotechnology #Semiconductors #DataStorage
Writing custom DNA has barely changed in decades. Today’s DNA synthesis relies on phosphoramidite chemistry—a highly effective but solvent-intensive process that depends on hazardous chemicals and specialized manufacturing facilities.
Researchers at Harvard have now demonstrated a completely different approach: parallel enzymatic DNA synthesis on a semiconductor chip, controlled simply by electricity in water.
The CMOS chip contains 64 programmable synthesis sites, each surrounded by two concentric ring electrodes. When current flows through the inner ring, it generates protons that create a tiny acidic region—exactly what’s needed to remove the temporary blocking group from a growing DNA strand. At the same time, the outer ring consumes escaping protons, preventing neighboring reactions from interfering with one another.
Using this approach, the team synthesized 64 different DNA sequences, each 38–39 nucleotides long, entirely in an aqueous enzymatic process. Previous demonstrations of parallel enzymatic DNA synthesis were limited to roughly a dozen sequences, making this the largest demonstration of its kind so far.
The hardware has an unusual history. It was originally developed for recording electrical activity from thousands of neurons. The researchers later realized that the same ability to precisely control microscopic electrical currents could also be used to control chemical reactions needed for DNA synthesis.
Key points:
• 64 unique DNA sequences synthesized in parallel
• Water-based enzymatic process instead of traditional solvent-heavy chemistry
• Precise local pH control using dual concentric electrodes
• DNA strands up to 39 nucleotides long
• Demonstrated storage of a 169-byte text message in the synthesized DNA
The technology is still at an early stage. DNA strands of 39 nucleotides are far shorter than real genes, which typically contain thousands of bases. According to the researchers, the main limitation is now the chemistry used to remove temporary protecting groups—not the chip itself—suggesting that future advances may come from improved chemistry rather than new electronics.
If the method can be scaled, it could eventually make DNA manufacturing cleaner, cheaper, and more accessible for synthetic biology, diagnostics, gene therapies, and even DNA-based data storage, one of the highest-density storage media ever proposed.
📄 Nature Electronics: https://www.nature.com/articles/s41928-026-01662-9
🏛 Harvard SEAS: https://seas.harvard.edu/news/making-dna-semiconductor-chip
#DNA #SyntheticBiology #Biotechnology #Semiconductors #DataStorage
Nature
Parallel enzymatic DNA synthesis using a semiconductor chip
Nature Electronics - An array of 256 ring-electrode pairs fabricated on a complementary metal–oxide–semiconductor integrated circuit that can control local acidity and induce parallel...
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🐸 A Frog Gut Bacterium Eliminated Colorectal Tumors in Mice
A bacterium found in the gut of Japanese tree frogs has shown a striking anti-cancer effect in mice.
Researchers at the Japan Advanced Institute of Science and Technology (JAIST) screened 45 bacterial strains isolated from amphibians and reptiles, including Japanese tree frogs, fire belly newts, and grass lizards. One strain stood out: Ewingella americana, a naturally occurring bacterium from the intestines of the Japanese tree frog.
In a mouse model of colorectal cancer, a single intravenous dose of E. americana led to complete tumor elimination in all treated mice — a 100% complete response rate in that experiment.
The bacterium appears to work in two ways.
First, it accumulates inside tumors, where oxygen levels are low and blood vessels are unusually leaky. Once there, the bacterial population increased by roughly 3,000 times within 24 hours, directly damaging cancer cells.
Second, it seems to wake up the immune system. The treatment attracted T cells, B cells, and neutrophils into the tumor and boosted inflammatory signals such as TNF-α and IFN-γ, helping the body attack the cancer more aggressively.
The safety data in mice were also encouraging. The bacteria disappeared from the bloodstream within 24 hours, did not colonize healthy organs such as the liver, spleen, lungs, kidneys, or heart, and caused only temporary mild inflammation. Over a 60-day observation period, the researchers reported no chronic toxicity.
But the caveat is essential: this is still mouse research.
Many cancer therapies look spectacular in preclinical models and fail later in humans. A living bacterium injected into the bloodstream would face a much higher safety bar in people, and the human immune response could be very different.
Still, the study is an unusually strong proof of concept for bacterial cancer therapy. Instead of simply changing the gut microbiome, the researchers used a living bacterium as a tumor-targeting agent — one that both attacks cancer cells and recruits the immune system.
The big takeaway: one of the next ideas in cancer therapy may come not from a synthetic drug library, but from the gut of a frog.
Original paper, Gut Microbes:
https://www.tandfonline.com/doi/full/10.1080/19490976.2025.2599562
DOI:
https://doi.org/10.1080/19490976.2025.2599562
ScienceDaily summary:
https://www.sciencedaily.com/releases/2026/07/260709160655.htm
JAIST press release:
https://www.jaist.ac.jp/english/whatsnew/press/2025/12/17-1.html
#CancerResearch #Microbiome #Immunotherapy #Biotech
A bacterium found in the gut of Japanese tree frogs has shown a striking anti-cancer effect in mice.
Researchers at the Japan Advanced Institute of Science and Technology (JAIST) screened 45 bacterial strains isolated from amphibians and reptiles, including Japanese tree frogs, fire belly newts, and grass lizards. One strain stood out: Ewingella americana, a naturally occurring bacterium from the intestines of the Japanese tree frog.
In a mouse model of colorectal cancer, a single intravenous dose of E. americana led to complete tumor elimination in all treated mice — a 100% complete response rate in that experiment.
The bacterium appears to work in two ways.
First, it accumulates inside tumors, where oxygen levels are low and blood vessels are unusually leaky. Once there, the bacterial population increased by roughly 3,000 times within 24 hours, directly damaging cancer cells.
Second, it seems to wake up the immune system. The treatment attracted T cells, B cells, and neutrophils into the tumor and boosted inflammatory signals such as TNF-α and IFN-γ, helping the body attack the cancer more aggressively.
The safety data in mice were also encouraging. The bacteria disappeared from the bloodstream within 24 hours, did not colonize healthy organs such as the liver, spleen, lungs, kidneys, or heart, and caused only temporary mild inflammation. Over a 60-day observation period, the researchers reported no chronic toxicity.
But the caveat is essential: this is still mouse research.
Many cancer therapies look spectacular in preclinical models and fail later in humans. A living bacterium injected into the bloodstream would face a much higher safety bar in people, and the human immune response could be very different.
Still, the study is an unusually strong proof of concept for bacterial cancer therapy. Instead of simply changing the gut microbiome, the researchers used a living bacterium as a tumor-targeting agent — one that both attacks cancer cells and recruits the immune system.
The big takeaway: one of the next ideas in cancer therapy may come not from a synthetic drug library, but from the gut of a frog.
Original paper, Gut Microbes:
https://www.tandfonline.com/doi/full/10.1080/19490976.2025.2599562
DOI:
https://doi.org/10.1080/19490976.2025.2599562
ScienceDaily summary:
https://www.sciencedaily.com/releases/2026/07/260709160655.htm
JAIST press release:
https://www.jaist.ac.jp/english/whatsnew/press/2025/12/17-1.html
#CancerResearch #Microbiome #Immunotherapy #Biotech
Taylor & Francis
Discovery and characterization of antitumor gut microbiota from amphibians and reptiles: Ewingella americana as a novel therapeutic…
The utilization of gut microbiota in cancer therapy has attracted considerable attention as an emerging therapeutic frontier. In this study, we systematically evaluated the antitumor effects of nin...
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🤖 NEO Just Got New Hands
25 degrees of freedom.
Still far from matching the human hand, of course — but the progress is impressive.
The company calls them an “API to the physical world.”
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science
25 degrees of freedom.
Still far from matching the human hand, of course — but the progress is impressive.
The company calls them an “API to the physical world.”
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science
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🌊 Scientists Find Why Some Animals Survived Earth’s Worst Mass Extinction
About 252 million years ago, the Permian–Triassic extinction erased most marine species and permanently reshaped life in the oceans. A new Stanford-led study suggests that survival depended partly on how animals’ oxygen requirements changed as the water warmed.
Researchers measured oxygen consumption in living brachiopods and other animals representing the “Paleozoic” and modern marine faunas. At cooler temperatures, brachiopods could tolerate remarkably low oxygen levels. But as the water warmed, the minimum amount of oxygen they needed rose much faster.
Their slow metabolism was not the problem by itself. More active groups generally had muscles, gills and respiratory systems better able to supply additional oxygen under heat stress.
This may explain why brachiopods and crinoids were devastated, while bivalves, snails, fish and echinoderms suffered fewer losses and later came to dominate the oceans.
The extinction was therefore not completely random — but metabolism was not the only factor either. Warming and ocean deoxygenation acted through animals’ physiology, alongside stresses such as acidification.
Modern oceans are also warming and losing oxygen. The study does not predict another “Great Dying,” but it shows how strongly climate can favour some body plans over others.
Could the next reshuffling of ocean life be determined by which animals can keep breathing as the water heats up?
📄 Study: https://www.pnas.org/doi/10.1073/pnas.2533086123
#Paleontology #MassExtinction #MarineBiology #OceanWarming #ClimateChange
About 252 million years ago, the Permian–Triassic extinction erased most marine species and permanently reshaped life in the oceans. A new Stanford-led study suggests that survival depended partly on how animals’ oxygen requirements changed as the water warmed.
Researchers measured oxygen consumption in living brachiopods and other animals representing the “Paleozoic” and modern marine faunas. At cooler temperatures, brachiopods could tolerate remarkably low oxygen levels. But as the water warmed, the minimum amount of oxygen they needed rose much faster.
Their slow metabolism was not the problem by itself. More active groups generally had muscles, gills and respiratory systems better able to supply additional oxygen under heat stress.
This may explain why brachiopods and crinoids were devastated, while bivalves, snails, fish and echinoderms suffered fewer losses and later came to dominate the oceans.
The extinction was therefore not completely random — but metabolism was not the only factor either. Warming and ocean deoxygenation acted through animals’ physiology, alongside stresses such as acidification.
Modern oceans are also warming and losing oxygen. The study does not predict another “Great Dying,” but it shows how strongly climate can favour some body plans over others.
Could the next reshuffling of ocean life be determined by which animals can keep breathing as the water heats up?
📄 Study: https://www.pnas.org/doi/10.1073/pnas.2533086123
#Paleontology #MassExtinction #MarineBiology #OceanWarming #ClimateChange
PNAS
Differences in physiological tolerance to global warming caused the Permian–Triassic transition between the Paleozoic and Modern…
The rapid global climate change at the end of the Permian Period (~251.9 Mya) coincided with the greatest macroevolutionary faunal turnover event i...
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🌌 We @science May Have Finally Figured Out Why the Universe Is Expanding…
The explanation is surprisingly simple.
Large language models operate using tokens. Every time a model generates a new response, it processes the accumulated context of the conversation.
As the dialogue grows, each new message adds more information — while the model must repeatedly process everything that came before. The total amount of processed information therefore grows almost geometrically within every conversation.
Now imagine that the Universe is actually one enormous artificial intelligence.
Every new star, planet, living organism, human thought, cat video, and online argument adds more tokens to the global conversation. The context keeps growing in geometric progression, so the system needs more and more space to process it all.
That is why the Universe is expanding.
Dark energy may have nothing to do with it. Someone simply forgot to click “Start a new chat.” 😅
#science #space #universe #AI
The explanation is surprisingly simple.
Large language models operate using tokens. Every time a model generates a new response, it processes the accumulated context of the conversation.
As the dialogue grows, each new message adds more information — while the model must repeatedly process everything that came before. The total amount of processed information therefore grows almost geometrically within every conversation.
Now imagine that the Universe is actually one enormous artificial intelligence.
Every new star, planet, living organism, human thought, cat video, and online argument adds more tokens to the global conversation. The context keeps growing in geometric progression, so the system needs more and more space to process it all.
That is why the Universe is expanding.
Dark energy may have nothing to do with it. Someone simply forgot to click “Start a new chat.” 😅
#science #space #universe #AI
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🔭 Physicists Recreated a Black-Hole-Inspired Effect — in a Circuit With No Moving Parts
More than 50 years ago, Roger Penrose proposed that rotational energy could be extracted from a spinning black hole. Yakov Zel’dovich later predicted a wave version of the effect: an object rotating fast enough could transfer some of its energy to incoming waves, amplifying them.
The problem was speed. Reproducing the effect with electromagnetic waves would require rotation far beyond the limits of ordinary machinery.
Researchers at the CUNY Advanced Science Research Center have now bypassed that obstacle with a stationary radio-frequency circuit. It contains three coupled electronic resonators whose properties are modulated in a precisely timed sequence. Nothing physically rotates, but the traveling modulation pattern acts like ultrafast “synthetic rotation.”
Waves carrying the appropriate orbital angular momentum emerged amplified, with a reported net gain of up to 7.8 decibels. The experiment, published in Nature, demonstrates what the researchers call Floquet rotational superradiance.
There is no free energy involved. The additional energy comes from the external drive used to modulate the circuit — not from an actual black hole. The researchers also stress that this is not a one-to-one replica of Zel’dovich’s original rotating-object proposal, but a related effect combining rotational Doppler physics with parametric amplification.
Counterintuitively, ordinary losses in the circuit helped broaden the conditions under which amplification occurred.
The platform could provide a new way to study extreme rotational wave physics and may eventually inspire selective amplifiers, photonic devices and communication technologies.
What other seemingly impossible physical environments could be recreated using synthetic motion?
📄 Paper: https://www.nature.com/articles/s41586-026-10725-y
#Physics #BlackHoles #Superradiance #Metamaterials
More than 50 years ago, Roger Penrose proposed that rotational energy could be extracted from a spinning black hole. Yakov Zel’dovich later predicted a wave version of the effect: an object rotating fast enough could transfer some of its energy to incoming waves, amplifying them.
The problem was speed. Reproducing the effect with electromagnetic waves would require rotation far beyond the limits of ordinary machinery.
Researchers at the CUNY Advanced Science Research Center have now bypassed that obstacle with a stationary radio-frequency circuit. It contains three coupled electronic resonators whose properties are modulated in a precisely timed sequence. Nothing physically rotates, but the traveling modulation pattern acts like ultrafast “synthetic rotation.”
Waves carrying the appropriate orbital angular momentum emerged amplified, with a reported net gain of up to 7.8 decibels. The experiment, published in Nature, demonstrates what the researchers call Floquet rotational superradiance.
There is no free energy involved. The additional energy comes from the external drive used to modulate the circuit — not from an actual black hole. The researchers also stress that this is not a one-to-one replica of Zel’dovich’s original rotating-object proposal, but a related effect combining rotational Doppler physics with parametric amplification.
Counterintuitively, ordinary losses in the circuit helped broaden the conditions under which amplification occurred.
The platform could provide a new way to study extreme rotational wave physics and may eventually inspire selective amplifiers, photonic devices and communication technologies.
What other seemingly impossible physical environments could be recreated using synthetic motion?
📄 Paper: https://www.nature.com/articles/s41586-026-10725-y
#Physics #BlackHoles #Superradiance #Metamaterials
Nature
Observation of Floquet rotational super-radiance
Nature - A Floquet regime of rotational super-radiance has been observed in a spatiotemporally modulated ring network of resonators.
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🤖 OpenAI Just Released Three Versions of GPT-5.6 — and the Most Important One May Not Be the Flagship
On July 9, OpenAI released GPT-5.6 as a family of three models rather than a single flagship:
• Sol — the most capable version, priced at $5 per million input tokens and $30 per million output tokens
• Terra — a balanced model with performance competitive with GPT-5.5 at roughly half the price: $2.50/$15
• Luna — the fastest and cheapest version, priced at $1/$6
Sol is designed for difficult coding, scientific research, cybersecurity, and long-running agentic tasks. It also introduces an ultra mode that can coordinate parallel subagents to solve complex problems.
But Terra may be the more consequential release.
If it consistently delivers something close to GPT-5.5 performance at half the cost, many companies may have little reason to use the flagship for everyday workloads. Sol wins benchmarks and headlines; Terra could win production volume.
OpenAI also launched ChatGPT Work, a workspace that can gather context from connected tools and turn it into finished spreadsheets, documents, presentations, analyses, and other deliverables.
This suggests that the AI race is moving beyond model intelligence alone.
Independent testing of GPT-5.6 is still limited, and many performance claims come from OpenAI’s own evaluations. Terra’s price-performance advantage therefore needs to be validated across real business workloads.
But the broader direction is already visible:
The era of one flagship model for every task may be ending. The next phase of AI will be fought through portfolios, workflows, and distribution.
Sources:
https://openai.com/index/gpt-5-6/
https://openai.com/index/previewing-gpt-5-6-sol/
https://openai.com/chatgpt-work/
https://www.anthropic.com/news/redeploying-fable-5
#AI #OpenAI #GPT56 #ChatGPT #ArtificialIntelligence #NikolasBushTake
On July 9, OpenAI released GPT-5.6 as a family of three models rather than a single flagship:
• Sol — the most capable version, priced at $5 per million input tokens and $30 per million output tokens
• Terra — a balanced model with performance competitive with GPT-5.5 at roughly half the price: $2.50/$15
• Luna — the fastest and cheapest version, priced at $1/$6
Sol is designed for difficult coding, scientific research, cybersecurity, and long-running agentic tasks. It also introduces an ultra mode that can coordinate parallel subagents to solve complex problems.
But Terra may be the more consequential release.
If it consistently delivers something close to GPT-5.5 performance at half the cost, many companies may have little reason to use the flagship for everyday workloads. Sol wins benchmarks and headlines; Terra could win production volume.
OpenAI also launched ChatGPT Work, a workspace that can gather context from connected tools and turn it into finished spreadsheets, documents, presentations, analyses, and other deliverables.
This suggests that the AI race is moving beyond model intelligence alone.
Nikolas Bush Take
1. Model portfolios are replacing the idea of one universal model
OpenAI is beginning to resemble a cloud provider: instead of asking which model is “best,” customers choose the right combination of intelligence, latency, and price.
That makes the middle tier strategically important. Terra could become the default model for businesses, while Sol remains the premium option for the hardest tasks.
2. Government involvement in frontier-model launches is becoming harder to ignore
OpenAI initially released GPT-5.6 through a limited preview after discussing the models’ capabilities with the US government. The company said trusted partners were selected with government involvement before broader availability.
Anthropic faced an even more direct intervention: access to Claude Fable 5 and Mythos 5 was suspended after US export controls were imposed, before Fable 5 returned globally on July 1 with stronger safeguards.
This is not yet a formal regulatory system. But a de facto pre-release review process for highly capable AI models may be emerging through government pressure, security testing, and access restrictions.
3. The real competition is shifting toward the workspace
When several frontier models reach similar levels of capability, the surrounding product becomes more important.
The winner may not be the company with the highest benchmark score. It may be the company that owns the environment where people research, write, analyze data, build presentations, manage projects, and automate everyday work.
Models can increasingly be replaced. Workflows, integrations, organizational data, and user habits are much harder to displace.
Independent testing of GPT-5.6 is still limited, and many performance claims come from OpenAI’s own evaluations. Terra’s price-performance advantage therefore needs to be validated across real business workloads.
But the broader direction is already visible:
The era of one flagship model for every task may be ending. The next phase of AI will be fought through portfolios, workflows, and distribution.
Sources:
https://openai.com/index/gpt-5-6/
https://openai.com/index/previewing-gpt-5-6-sol/
https://openai.com/chatgpt-work/
https://www.anthropic.com/news/redeploying-fable-5
#AI #OpenAI #GPT56 #ChatGPT #ArtificialIntelligence #NikolasBushTake
OpenAI
GPT-5.6: Frontier intelligence that scales with your ambition
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
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🧬 Semaglutide May Slow Biological Aging, First Randomized Human Evidence Suggests
GLP-1 drugs such as semaglutide are already well known for treating obesity and type 2 diabetes. Now, researchers at UC San Diego report the first randomized placebo-controlled evidence that the drug may also slow biological aging — at least as measured by epigenetic aging clocks.
The team analyzed DNA methylation data from a 32-week, double-blind clinical trial involving 108 adults with HIV-associated lipohypertrophy. Participants received either weekly semaglutide injections or placebo. Researchers then used multiple epigenetic clocks — molecular biomarkers that estimate biological aging from chemical modifications to DNA — to evaluate changes in aging rate.
The results, published in Nature Communications, showed that semaglutide significantly slowed several independent measures of biological aging. On the DunedinPACE clock, the pace of aging slowed by about 9%. Significant improvements were also observed with the PCGrimAge clock, which is associated with mortality and age-related disease risk.
A separate 24-week pilot study in people with HIV and fatty liver disease reported that about 42% of participants showed a reduction in DunedinPACE after semaglutide treatment, although that study had no placebo control and should be interpreted cautiously.
In simple terms: epigenetic clocks don’t measure your chronological age. They estimate how quickly the molecular processes associated with aging are progressing. A 9% reduction means these biomarkers changed more slowly during treatment — not that people became 9% younger.
Scientists think several mechanisms may contribute. Semaglutide reduces chronic inflammation, decreases harmful visceral fat, and improves metabolic health — all processes linked to accelerated aging. These changes may influence molecular pathways involved in aging across multiple organ systems.
Key findings:
• ~9% slower pace of aging on the DunedinPACE clock
• Significant improvement in the PCGrimAge mortality-risk clock
• Similar effects across several independent epigenetic aging clocks
• A separate pilot study found ~42% of participants showed slower epigenetic aging after treatment
The study also has important limitations. This was a post hoc exploratory analysis, not a trial originally designed to study aging. Participants all had HIV-associated lipohypertrophy, a condition associated with accelerated biological aging, so the findings cannot yet be generalized to healthy individuals. Most importantly, improvements in epigenetic clocks do not prove that semaglutide extends lifespan or healthspan. Those questions will require much longer clinical studies.
Why it matters: Tens of millions of people already take GLP-1 drugs worldwide. If future studies confirm these findings in broader populations, semaglutide could become one of the first widely used medications shown to influence molecular biomarkers of human aging — extending its impact far beyond weight loss.
📄 https://www.nature.com/articles/s41467-026-72861-3
#Longevity #Semaglutide #GLP1 #Aging #Healthspan
GLP-1 drugs such as semaglutide are already well known for treating obesity and type 2 diabetes. Now, researchers at UC San Diego report the first randomized placebo-controlled evidence that the drug may also slow biological aging — at least as measured by epigenetic aging clocks.
The team analyzed DNA methylation data from a 32-week, double-blind clinical trial involving 108 adults with HIV-associated lipohypertrophy. Participants received either weekly semaglutide injections or placebo. Researchers then used multiple epigenetic clocks — molecular biomarkers that estimate biological aging from chemical modifications to DNA — to evaluate changes in aging rate.
The results, published in Nature Communications, showed that semaglutide significantly slowed several independent measures of biological aging. On the DunedinPACE clock, the pace of aging slowed by about 9%. Significant improvements were also observed with the PCGrimAge clock, which is associated with mortality and age-related disease risk.
A separate 24-week pilot study in people with HIV and fatty liver disease reported that about 42% of participants showed a reduction in DunedinPACE after semaglutide treatment, although that study had no placebo control and should be interpreted cautiously.
In simple terms: epigenetic clocks don’t measure your chronological age. They estimate how quickly the molecular processes associated with aging are progressing. A 9% reduction means these biomarkers changed more slowly during treatment — not that people became 9% younger.
Scientists think several mechanisms may contribute. Semaglutide reduces chronic inflammation, decreases harmful visceral fat, and improves metabolic health — all processes linked to accelerated aging. These changes may influence molecular pathways involved in aging across multiple organ systems.
Key findings:
• ~9% slower pace of aging on the DunedinPACE clock
• Significant improvement in the PCGrimAge mortality-risk clock
• Similar effects across several independent epigenetic aging clocks
• A separate pilot study found ~42% of participants showed slower epigenetic aging after treatment
The study also has important limitations. This was a post hoc exploratory analysis, not a trial originally designed to study aging. Participants all had HIV-associated lipohypertrophy, a condition associated with accelerated biological aging, so the findings cannot yet be generalized to healthy individuals. Most importantly, improvements in epigenetic clocks do not prove that semaglutide extends lifespan or healthspan. Those questions will require much longer clinical studies.
Why it matters: Tens of millions of people already take GLP-1 drugs worldwide. If future studies confirm these findings in broader populations, semaglutide could become one of the first widely used medications shown to influence molecular biomarkers of human aging — extending its impact far beyond weight loss.
📄 https://www.nature.com/articles/s41467-026-72861-3
#Longevity #Semaglutide #GLP1 #Aging #Healthspan
Nature
Semaglutide slows epigenetic aging in a randomized trial of HIV-associated lipohypertrophy
Nature Communications - Semaglutide is a glucagon-like peptide-1 (GLP-1) with a potential gerotherapeutic role. This post-hoc analysis of a phase 2b trial in adults with HIV associated...
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