🚨 TRUMP IN TALKS TO NATIONALIZE AI LABS
>“american public essentially becomes a partner with the ai companies”
>openai. anthropic. spacex
>“i have spoken to ALL of them”
>“they’re all coming to the white house next week”
>reporter: “bernie sanders proposed 50% public-private partnership”
>trump: “we’re not that far apart”
ITS HAPPENING
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Codex can now view, test, and hot reload your iOS app without ever leaving the environment.
SwiftUI previews, in-app browser, live edits the entire iOS build loop inside one agent.
Xcode is starting to look lonely.
NVIDIA DOESN'T JUST MAKE THE CHIPS ANYMORE. THEY'RE BUILDING THE MODELS TOO.
Nvidia just shipped Nemotron 3 Ultra - a 550B MoE open model built specifically for long running agents.
5x faster inference, 30% cheaper than other open frontier models on complex agentic tasks.
Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor.
It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx
AM4 or AM5. DDR4 or DDR5. We’ve got you. 🤝
"AMD is bringing two X3D CPUs to market in a bid to combat rising component prices.”
Get ready for the Ryzen 7 5800X3D 10th Anniv. Edition ($349) and the Ryzen 7 7700X3D ($329).
Read the full breakdown from @tomshardware: https://t.co/6SG6Ed0XTD
Tesla officially confirmed that Full Self-Driving is pending regulatory approval in India.
The final boss battle. There’s literally no bigger challenge for @Tesla_AI than this lol.
SpaceX is aiming to sell $135 share for its record-breaking $75 billion IPO, according to Reuters. The company hopes to sell nearly 555.6 million shares. 🚀
Founders that do email campaigns, this one is for you.
Have a project to market my AI news site: https://t.co/dWGrkH6H2F and this is perfect for that. (Reads 30,000 posts a day from AI community on X and picks the best news).
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ByteDance has published a paper that should make every NVIDIA investor sweat.
They trained an AI that writes CUDA better than humans experts.
They call it CUDA Agent.
And it completely rewrites the economics of AI hardware.
They built a massive agentic reinforcement learning loop. The AI writes a kernel, compiles it, profiles the hardware, analyzes the bottlenecks, and rewrites the code until it's flawless.
It learned how to optimize memory access patterns and hardware tiling strategies that traditional compilers miss.
The results are staggering.
On the industry-standard KernelBench, CUDA Agent completely destroyed traditional compilers.
It delivered code that runs up to 3.2x faster than PyTorch's native execution.
On the hardest, most complex models, it beat the strongest proprietary models in the world—including Claude Opus 4.5 and Gemini 3 Pro, by 40%.
It didn't just match human experts. It started discovering optimizations that static compilers literally cannot see.
Here is why this is a massive threat to NVIDIA.
NVIDIA's dominance relies on the fact that CUDA is incredibly hard to master. Developers get locked in because optimizing code for other chips is too painful.
But if an AI agent can autonomously generate hyper-optimized hardware kernels...
You don't need a team of $500k a year CUDA engineers to build world-class infrastructure.
And if an AI can autonomously master CUDA, it can master AMD's ROCm. Or custom silicon.
The impenetrable software wall protecting NVIDIA's monopoly just got breached by a reinforcement learning loop.
If anyone can automatically squeeze maximum performance out of any chip...
Hardware becomes a commodity.