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Tech entrepreneur Paul Conyngham created a personalized cancer vaccine after his dog Rosie was diagnosed with aggressive cancer that kept growing despite treatment.
He sequenced Rosieβs DNA and used AI tools to identify cancer mutations. The results went into AlphaEvolve to find protein targets, and researchers at the UNSW RNA Institute turned that analysis into a custom mRNA vaccine.
After injections in late 2025, one of Rosieβs largest tumors shrank by about 50%. Scientists are now preparing a second version of the vaccine to target the remaining tumors.
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Shanghai startup Lisuan Tech unveiled the G100, a GPU built on its own architecture. The company launched in 2021 by three former S3 Graphics engineers who designed everything from the instruction set to the compute cores.
The chip uses a 6 nm TSMC process, 12 GB GDDR6, and about 24 TFLOPS. Benchmarks place it close to NVIDIAβs RTX 4060.
Lisuan has raised $132M at a valuation near $580M. Preorders open March 17 with release planned for June 18.3
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Electric lifts that climb stairs on their own just came out in China, carrying up to 180 kg for 60 to 80 floors, totally changing the game for delivery people.
π @tech
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ByteDance postponed the international release of its video generation model Seedance 2.0.
The model drew attention for producing high-quality videos featuring Hollywood actors. Studios and industry groups in Hollywood filed complaints over the technology.
Seedance 2.0 will remain available only in China for now.
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Nvidia introduced DLSS 5, a new version of its rendering tech that can convert simple low-quality graphics into photorealistic output.
Similar approaches have been used in photo and video generation pipelines for about a year, but Nvidia brings this into real-time rendering.
The system can take schematic 3D scenes and upscale them to near-photoreal quality during runtime.
This could extend to AI workflows, where simple generated scenes are later refined into high-quality visuals.
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π¦ Nvidia launches NemoClaw to support OpenClaw environments
Nvidia introduced NemoClaw as part of its push into OpenClaw infrastructure. The system provides isolated environments for running agents and helps prevent unintended actions like data deletion.
The platform also offers free generation with the LLM model nvidia/nemotron-3-super-120b-a12b.
Usage costs are tied to the OpenClaw virtual environment, priced at about $0.12 per hour.
Nvidia is starting to package agent infrastructure as a managed service.
π @tech
Nvidia introduced NemoClaw as part of its push into OpenClaw infrastructure. The system provides isolated environments for running agents and helps prevent unintended actions like data deletion.
The platform also offers free generation with the LLM model nvidia/nemotron-3-super-120b-a12b.
Usage costs are tied to the OpenClaw virtual environment, priced at about $0.12 per hour.
Nvidia is starting to package agent infrastructure as a managed service.
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Andrej Karpathy released an open-source dataset scoring 342 US occupations by exposure to AI, using an LLM-based scale from 0 to 10.
Jobs with digital output and remote workflows rank highest. Software developers and analysts score 8β9, while roles like roofers and janitors stay near 0β1. Medical transcriptionists reach 10.
The average exposure across all jobs is 5.3.
The full pipeline, including data, scoring, and visualization, is open source.
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Its called Project Canard.
It integrates with distributed camera nodes to triangulate airborne targets and update flight paths in real-time.
It proves the barrier to advanced hardware has completely collapsed, moving precision weapons from defense labs to consumer garages.
The entire launcher and interceptor frame is 3D printed in PLA and runs off a standard off-the-shelf ESP32 microcontroller.
It even spins up a local Wi-Fi network so you can monitor live telemetry and arm the system directly from your laptop.
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