🚨 BREAKING: OpenAI claims to have solved the Navier-Stokes Millennium Prize Problem - one of the 7 greatest unsolved mysteries in mathematics!
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem scription of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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OPEN SOURCE CANT STOP WINNING !! 🔥🔥
The next-gen architecture powering Qwen4 is now here! ✨
Get ready for the open release of Qwen3.8-Flash-Next 🚀
The countdown starts now! ⏳🔥modelscope.cn/models/Qwen/Qw…
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Miss the golden stackoverflow days, when we had to go through the whole humiliation ritual just to know how to center a div
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Rockstar spent 12 years on this game and bro speedran their entire marketing dept in a week
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not the model creating fake github accounts to comment "great pr!" under its own code
bro's a professional redditor 😭😭
bro's a professional redditor 😭😭
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🤖 Humanoid robots are having their "ChatGPT moment" !
World Robot Conference Beijing Aug 21 : Global shipments: ~19,100 in H1 2026 , thats close to 4x last year!📈
reutersconnect.com/item/humanoid-…
World Robot Conference Beijing Aug 21 : Global shipments: ~19,100 in H1 2026 , thats close to 4x last year!📈
reutersconnect.com/item/humanoid-…
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3.25X times faster already on Mac !!
Also notice how some of the recent top improvements were done by Grok 👀
Elon is cooking 🔥🔥
Also notice how some of the recent top improvements were done by Grok 👀
Elon is cooking 🔥🔥
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What are some good and challenging prompts to test Qwen3.8 27B?
Running it on my M5 pro with mtplx. Will post the results soon 👀
Running it on my M5 pro with mtplx. Will post the results soon 👀
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Open source just cant stop winning 🔥🔥
Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.
It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus gentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)
Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.
All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: ornith.ai/ornith_1_5.html
🤗Huggingface: huggingface.co/collections/or…
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🚨Looks like Astra could be getting held back longer!
We have paused some frontier RL training to ensure that we can meet the appropriate alignment, security and monitoring standards for the new level of capabilities in front of us. Model progress is now extremely rapid, and we always said we would take action if we felt that model capabilities were outstripping the pace of safety and alignment.
We care very deeply about AI safety. We believe the entire field will have to coordinate on shared safety standards, but will act unilaterally in the meantime.
We expect confidence in safety to increasingly set the pace of AI progress. We are optimistic about the alignment work we are doing, and we remain committed to making frontier capabilities widely available.
openai.com/index/pacing-m…
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Keep an eye out for RTX 5000 cards 👀👀
HYDRA tool cracks open NVIDIA's RTX 50 VRAM locks, pushing GDDR7 to 36 Gbps and 125% power limits. 🔗 wccf.tech/1l363
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