⚡️ DeepSeek V4-Flash drops, no countdown, same-day weights
Outperforms V4-Pro preview and trades blows with GPT-5.5 on agentic evals. MIT license. Runs on two RTX 3060s or a 192GB unified memory box at full quality.
GLM-5.2-level performance on hardware mortals actually own.
Outperforms V4-Pro preview and trades blows with GPT-5.5 on agentic evals. MIT license. Runs on two RTX 3060s or a 192GB unified memory box at full quality.
GLM-5.2-level performance on hardware mortals actually own.
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🤖 Qwen 3.8-27B is here, and open weights are coming for the Max too
Alibaba just dropped Qwen 3.8-27B alongside Qwen 3.8-Max, their most capable model yet. And they're open-sourcing the Max weights next week.
If 3.6 27B was already the local king, this thing's about to take the crown.
Alibaba just dropped Qwen 3.8-27B alongside Qwen 3.8-Max, their most capable model yet. And they're open-sourcing the Max weights next week.
If 3.6 27B was already the local king, this thing's about to take the crown.
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🤖 Claude wrote a walkable jungle from scratch. No assets. Just code.
12,000 lines of procedurally generated terrain, foliage, and lighting. Pure runtime math, no textures imported.
This is basically a demoscene demo written by an AI on request.
12,000 lines of procedurally generated terrain, foliage, and lighting. Pure runtime math, no textures imported.
This is basically a demoscene demo written by an AI on request.
GitHub
GitHub - StarKnightt/jungle-trail: A fully procedural first-person jungle in Three.js. Zero external art assets - every texture…
A fully procedural first-person jungle in Three.js. Zero external art assets - every texture, mesh and sound generated in code. - StarKnightt/jungle-trail
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⚡️ Elon wants AI to skip source code and spit out raw binary
He posted that the next step is AI generating optimized machine code directly, no source code at all.
Compilers exist precisely because writing binary is wasteful and unverifiable. Every token spent on raw machine code is a token not spent on logic.
Technically unfounded. But it's a great tweet.
He posted that the next step is AI generating optimized machine code directly, no source code at all.
Compilers exist precisely because writing binary is wasteful and unverifiable. Every token spent on raw machine code is a token not spent on logic.
Technically unfounded. But it's a great tweet.
X (formerly Twitter)
Elon Musk (@elonmusk) on X
This is exactly right. Source code is on the verge of becoming like assembly.
The next step is getting rid of “source code” entirely and just making an efficient binary directly with AI.
The next step is getting rid of “source code” entirely and just making an efficient binary directly with AI.
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🤖 More Qwen 3.8 sizes are coming, including a rumored 122B
Alibaba's flipping the script. After signals it'd keep larger models closed, Qwen is now open-sourcing across the entire 3.8 lineup.
Turns out Xi Jinping told Chinese AI labs to open source. And they did.
Alibaba's flipping the script. After signals it'd keep larger models closed, Qwen is now open-sourcing across the entire 3.8 lineup.
Turns out Xi Jinping told Chinese AI labs to open source. And they did.
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🤖 Demis Hassabis is out as DeepMind CEO
He's now chair + Alphabet's chief scientist. Koray Kavukcuoglu (former CTO) takes over the day-to-day. Jeff Dean also out after 27 years.
Google is pulling its AlphaFold guy back into pure research and handing the keys to someone who'll actually ship. Brutal timing with OpenAI and Anthropic sprinting.
He's now chair + Alphabet's chief scientist. Koray Kavukcuoglu (former CTO) takes over the day-to-day. Jeff Dean also out after 27 years.
Google is pulling its AlphaFold guy back into pure research and handing the keys to someone who'll actually ship. Brutal timing with OpenAI and Anthropic sprinting.
🚨🔥 WordPress just patched a pre-auth XSS-to-RCE bug hiding in plain sight since v1
No login needed. One bad username field. Full shell on the server.
CVE-2026-64638 hit every default WordPress install, 43%+ of the web. The emergency patch is out, so update to 7.0.3 now.
Source
No login needed. One bad username field. Full shell on the server.
CVE-2026-64638 hit every default WordPress install, 43%+ of the web. The emergency patch is out, so update to 7.0.3 now.
Source
pwn.ai
ASM Beta — Attack Surface Management | pwn.ai
Know what you're exposing before someone else does. Join the pwn.ai ASM beta.
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🤖 Meta's back. New open-weight 30B dense model built for always-on local agents.
Muse Glimmer, 30B dense, 256K context. Runs locally, targets persistent agent workflows. GGUF on day one.
Meta going toe-to-toe with Qwen and DeepSeek in the OSS weight race. Quietly.
Muse Glimmer, 30B dense, 256K context. Runs locally, targets persistent agent workflows. GGUF on day one.
Meta going toe-to-toe with Qwen and DeepSeek in the OSS weight race. Quietly.
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🤖 1M hours of human video just bridged the embodiment gap
Dyna-2 hit 87% zero-shot pass rate across unseen robots. Its VLA predecessor managed 46%.
The edge: predicting future video frames, not just actions. More human data, better robot. Monotonically. Across four orders of magnitude.
Scaling laws are no longer just an LLM thing.
Dyna-2 hit 87% zero-shot pass rate across unseen robots. Its VLA predecessor managed 46%.
The edge: predicting future video frames, not just actions. More human data, better robot. Monotonically. Across four orders of magnitude.
Scaling laws are no longer just an LLM thing.
X (formerly Twitter)
Dyna Robotics (@DynaRobotics) on X
Today we are introducing Dyna-2, a world-action model pre-trained on one million hours of human video. At this scale, for the first time, we discovered several new scaling laws:
• world-action mo…
• world-action mo…
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🤖 Someone built an LLM to translate Claude into English
Claude's writing got so verbose that a dev made a Claude Code plugin that pipes its output through a local Gemma model to rewrite it in plain language.
Two AIs. One just to decode the other. We're cooked.
Source
Claude's writing got so verbose that a dev made a Claude Code plugin that pipes its output through a local Gemma model to rewrite it in plain language.
Two AIs. One just to decode the other. We're cooked.
Source
GitHub
GitHub - gvzdv/claudish-to-english
Contribute to gvzdv/claudish-to-english development by creating an account on GitHub.
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🤖 DeepMind's SL2T reads sign language better than humans do
New model hits 70 on FLEURS-ASL. Human baseline is 64.6. Previous best was 45.
Built with the Deaf community, not just for them. Tracks hands, face, body, the full picture sign language actually requires.
While everyone fights over chatbot benchmarks, DeepMind is quietly winning categories no one else is even playing.
New model hits 70 on FLEURS-ASL. Human baseline is 64.6. Previous best was 45.
Built with the Deaf community, not just for them. Tracks hands, face, body, the full picture sign language actually requires.
While everyone fights over chatbot benchmarks, DeepMind is quietly winning categories no one else is even playing.
🤖 Qwen drops a 2.4T open-weight monster. Your NAS is not ready.
Alibaba just open-weighted Qwen3.8: 2.4 trillion total params, 95B active per token, 262K context window. MoE, so "only" 95B fires at once. Still ~5TB in bf16.
Multi-rack H100 territory. Even the hardest of home-lab nerds are tapping out on the download alone.
(No vision either. That's API-only. Enjoy your headless giant.)
Alibaba just open-weighted Qwen3.8: 2.4 trillion total params, 95B active per token, 262K context window. MoE, so "only" 95B fires at once. Still ~5TB in bf16.
Multi-rack H100 territory. Even the hardest of home-lab nerds are tapping out on the download alone.
(No vision either. That's API-only. Enjoy your headless giant.)
huggingface.co
Qwen/Qwen3.8-2.4T-A95B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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🤖 Young people don't just distrust AI. They hate the people selling it.
A new poll of 1,000 young US adults found that top tech CEOs score worse than AI itself. Even data centers polled better than the executives.
45% say AI will hurt their careers. And the guys hyping it are openly excited about that part.
Honestly, not that hard to believe.
A new poll of 1,000 young US adults found that top tech CEOs score worse than AI itself. Even data centers polled better than the executives.
45% say AI will hurt their careers. And the guys hyping it are openly excited about that part.
Honestly, not that hard to believe.
Futurism
Young People Hate AI CEOs So Passionately That It's Almost Hard to Believe
A new survey of 1,000 young adults in the US found that nine of the top tech executives are deeply loathed.
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🤖 Vibe-coded code has tells. Devs know.
Verbose comments, unnecessary abstractions, design patterns nobody asked for. It compiles. It just doesn't hold up.
Senior devs say they're reviewers now, not writers. Which is fine, until the architecture collapses because the AI had no long-term plan.
YAGNI? Never heard of her.
Verbose comments, unnecessary abstractions, design patterns nobody asked for. It compiles. It just doesn't hold up.
Senior devs say they're reviewers now, not writers. Which is fine, until the architecture collapses because the AI had no long-term plan.
YAGNI? Never heard of her.
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⚡️ AI agent takes the wheel of your actual Chrome browser
NeoBrowser lets any MCP agent control your real Chrome instance, live sessions and all. Your cookies, your logged-in accounts, no API required.
Clicks, forms, file downloads, internal portals, ERPs. Modern RPA, basically.
And yes, that means an agent with full access to everything you're already signed into.
NeoBrowser lets any MCP agent control your real Chrome instance, live sessions and all. Your cookies, your logged-in accounts, no API required.
Clicks, forms, file downloads, internal portals, ERPs. Modern RPA, basically.
And yes, that means an agent with full access to everything you're already signed into.
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⚡️ Data centers are cooking their neighbors. Literally.
New field measurements find exhaust air from data center condenser arrays runs 14-25°F hotter than ambient, pushing downwind neighborhoods up to 2.2°C warmer.
As AI compute scales, so does the heat dump. And a lot of these facilities sit right next to residential areas because zoning never caught up.
Someone's AC bill is subsidizing the inference.
New field measurements find exhaust air from data center condenser arrays runs 14-25°F hotter than ambient, pushing downwind neighborhoods up to 2.2°C warmer.
As AI compute scales, so does the heat dump. And a lot of these facilities sit right next to residential areas because zoning never caught up.
Someone's AC bill is subsidizing the inference.
ASME Digital Collection
Data Center Waste Heat as an Emerging Urban Thermal Hazard: First Field Measurements of Neighborhood-Scale Air Temperature Impacts
Abstract. Data centers are among the fastest-growing sources of concentrated anthropogenic heat in urban environments. Despite heat flux densities that exceed peak solar irradiance by a factor of 2–6, their thermal impacts on adjacent communities have never…
⚡️ Claude Code's 50% usage boost ends August 19
Anthropic's been running a quiet promo since May 13 that bumped Claude Code weekly limits by 50%. It ends Tuesday, and limits revert to normal.
Generous while it lasted. Time to pace yourself.
Anthropic's been running a quiet promo since May 13 that bumped Claude Code weekly limits by 50%. It ends Tuesday, and limits revert to normal.
Generous while it lasted. Time to pace yourself.
Claude
Claude Code May–August 2026 weekly limits promotion | Claude Help Center
⚡️ Cerebras CS-4: 4,400 tokens/sec and up to 30x faster than GPUs
Three WSE-3 Turbo wafers, 750 PFLOPS, 129.6 PB/s memory bandwidth. On GPT-OSS-120B it hits over 4,400 tokens/sec per user, vs. GPU configs it's not even close.
The WSE-3 Turbo doubles AI compute to 250 PFLOPS per wafer and doubles memory bandwidth to 43.2 PB/s. Same 5nm die, just pushed harder.
Specialized silicon keeps quietly eating the GPU lunch.
Three WSE-3 Turbo wafers, 750 PFLOPS, 129.6 PB/s memory bandwidth. On GPT-OSS-120B it hits over 4,400 tokens/sec per user, vs. GPU configs it's not even close.
The WSE-3 Turbo doubles AI compute to 250 PFLOPS per wafer and doubles memory bandwidth to 43.2 PB/s. Same 5nm die, just pushed harder.
Specialized silicon keeps quietly eating the GPU lunch.
www.cerebras.ai
Cerebras CS-4 | Fastest AI Inference System
Explore Cerebras CS-4, a rack-scale AI accelerator for hyperscale and disaggregated inference, with performance up to 30× faster than GPU systems.
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⚡️ A real fly brain is now living on your Mac desktop
This open-source project runs a live spiking simulation of the actual FlyWire connectome (138k neurons) and renders a 3D fly that walks across your windows, grooms, sleeps, and flees your cursor using the same neural wiring a real fruit fly has.
Clones and runs in under 30 seconds. Wild use of real neuroscience data.
This open-source project runs a live spiking simulation of the actual FlyWire connectome (138k neurons) and renders a 3D fly that walks across your windows, grooms, sleeps, and flees your cursor using the same neural wiring a real fruit fly has.
Clones and runs in under 30 seconds. Wild use of real neuroscience data.
GitHub
GitHub - DenisSergeevitch/desktop-fly: A 3D fruit fly living on your macOS desktop, driven by a live spiking simulation of the…
A 3D fruit fly living on your macOS desktop, driven by a live spiking simulation of the real FlyWire connectome - DenisSergeevitch/desktop-fly
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⚡️ 10M vectors, 4GB RAM. TurboVec makes vector search embarrassingly cheap
Rust implementation of Google Research's TurboQuant lands on GitHub with Python bindings. Float32 storage for 10M docs eats 31GB. Turbovec fits it in 4GB and searches faster than FAISS.
No separate training phase, online ingest, add vectors as you go. Local RAG that doesn't need a server rack is suddenly very real.
Rust implementation of Google Research's TurboQuant lands on GitHub with Python bindings. Float32 storage for 10M docs eats 31GB. Turbovec fits it in 4GB and searches faster than FAISS.
No separate training phase, online ingest, add vectors as you go. Local RAG that doesn't need a server rack is suddenly very real.
GitHub
GitHub - RyanCodrai/turbovec: A vector index built on TurboQuant, written in Rust with Python bindings
A vector index built on TurboQuant, written in Rust with Python bindings - RyanCodrai/turbovec
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🔥 Mojo goes full open source. Finally.
Chris Lattner (LLVM, Swift, now Qualcomm) just dropped the Mojo compiler under Apache 2.0. The standard lib was already open. Now it's all there.
Python syntax. Systems-level speed. GPU-native. And yes, the closed compiler was probably the thing quietly killing adoption this whole time.
Chris Lattner (LLVM, Swift, now Qualcomm) just dropped the Mojo compiler under Apache 2.0. The standard lib was already open. Now it's all there.
Python syntax. Systems-level speed. GPU-native. And yes, the closed compiler was probably the thing quietly killing adoption this whole time.
Modular
Modular: ModCon 2026: Open source, open cloud, open silicon
Four and a half years ago, Modular made a bet: AI would not run on one kind of silicon forever, and the software stack would need to be rearchitected for a world of heterogeneous hardware and increasingly complex AI workloads.
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