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SoftBank aims to become leading ‘artificial super intelligence’ platform provider | Reuters https://www.reuters.com/technology/softbank-aiming-become-leading-artificial-super-intelligence-platform-provider-2025-06-27/
SoftBank Proposes $1 Trillion Facility for AI and Robotics — The Information https://www.theinformation.com/briefings/softbank-proposes-1-trillion-facility-ai-robotics
SoftBank Son reportedly pitches $1 trillion Arizona AI hub https://www.cnbc.com/2025/06/20/softbank-son-reportedly-pitches-1-trillion-arizona-ai-hub.html
📢 BREAKING: China unveils first parallel optical computing chip, ‘Meteor-1’ The breakthrough is that Meteor-1 shifts compute from electrons to light, hitting 2,560 TOPS at 50 GHz by running 100 tasks in parallel on one chip. on par with Nvidia’s flagship GPUs and nearing the https://x.com/rohanpaul_ai/status/1937509077107482656
Sam Altman on Stargate, Humanoid Robots and OpenAI’s Future | The Circuit with Emily Chang – YouTube https://www.youtube.com/watch?v=yTu0ak4GoyM
Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first https://x.com/TheHumanoidHub/status/1936494676770803837
China outpacing US in energy production RT @AlecStapp: Increasingly think this might be the most important chart in the world right now https://x.com/zacharynado/status/1938772489951408369
Cloudflare Containers are now available in public beta. Deploy simple, global, and programmable containers alongside your Workers: https://x.com/cloudflare/status/1937544770752045168?s=46
Excited to announce a $40M raise for @OpenRouterAI (seed + A), led by a16z & Menlo! LLM inference will be the biggest software market in the world. We’ve become the #1 control plane. Here’s what’s next: https://x.com/xanderatallah/status/1937957937692938292
Snowcap Compute raises $23 million for superconducting AI chips | Reuters https://www.reuters.com/business/snowcap-compute-raises-23-million-superconducting-ai-chips-2025-06-23/
Nvidia and Foxconn Plan to Deploy Humanoid Robots at Houston AI Server Factory — Reuters https://finance.yahoo.com/news/nvidia-foxconn-plan-deploy-humanoid-223000460.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAAzF4ry-FZls9gJc6zsu5Eom0yqBlkIrHfjV9prrTs-jwlW_iLajRY0JvJeeEzNB__T8Y4BG0r_luS0SlPeTZ2eWOE3KaxcL_xyN3Fi9BUeHH5rmHwESwoPv14b3k3j5WFPB-gsZnXRK-rEX79t-gBzJMiuZB4WvFCI4kp1BdH41
really dumb question. will future computers even need CPUs? seems they mostly exist to load data on and off the GPU. what’s the point of that”” / X https://x.com/jxmnop/status/1938431724817412227
Vercel Sandbox: Run untrusted AI-generated code and dev servers using the same isolation and performance as Vercel’s build system. Same industry leading Active CPU pricing as Fluid Compute”” / X https://x.com/cramforce/status/1937885790152818995?s=46
The weakness of the US grid isn’t just the lack of power It’s also the lack of mechanisms to keep it stable I expect a training run to plunge hundreds of thousands of people into a blackout This will make normies anti-AI infrastructure There’s solutions we can implement though!”” / X https://x.com/dylan522p/status/1937943241082437697
I really recommend watching The Geopolitics of AI Infrastructure by @dylan522p > Following the current trend and datacenter power demand, the US will be lacking ~88GW by 2028. For reference, 1 nuclear reactor provides ~1GW. There’s a long way to go! https://x.com/AymericRoucher/status/1937261555156156788
It’s quite striking that despite everything that’s happened in AI over the last 3 years, the world is still spending *less* capex building semiconductor foundries today than in 2022 All of AI is still small enough to be washed away by consumers buying -10% fewer Android phones https://x.com/corry_wang/status/1936443537001685386
RT @steren: Serverless Gemma 3n with @Ollama and Cloud Run in two commands: $ gcloud run deploy –image ollama/ollama –port 11434 –gpu 1…”” / X https://x.com/ollama/status/1938324186579292415
Nvidia is back – the world’s most valuable company https://x.com/nearcyan/status/1938035873259655202
our engineering and compute teams do incredible work to rapidly scale to meet customer demand for chatgpt. a lot of blood sweat and tears go into this, and they make it look relatively easy. i have never seen a team handle a 2.5 year sprint with such grace!”” / X https://x.com/sama/status/1937514123912491317
👨🔧 Github: Slash LLM inference latency by reusing KV caches across GPU, CPU, disk; plug LMCache into vLLM to cut TTFT 3-10×, boost throughput, handle long-context QA and RAG workloads reliably. LMCache is a CUDA-accelerated KV cache layer plugged into vLLM, KServe, and soon https://x.com/rohanpaul_ai/status/1936384356974510127
AI research is strange in that you spend a massive amount of compute on experiments to learn simple ideas that can be expressed in just a few sentences. Literally things like “training on A generalizes if you add B”, “X is a good way to design rewards”, or “the fact that method M”” / X https://x.com/_jasonwei/status/1937590298022150638
Researchers introduced STORM, a text-video model that trims video input to one-eighth the usual size yet still yields state-of-the-art scores. STORM inserts mamba layers between a SigLIP vision encoder and a Qwen2-VL language model: the mamba layers aggregate information across https://x.com/DeepLearningAI/status/1936438967391453522
Foxconn and Nvidia plan to deploy humanoid robots at the new Houston factory producing Nvidia’s GB300 AI servers by Q1 2026. Foxconn has been training humanoid robots for pick-and-place operations and cable insertion, but it’s unclear which humanoid model will be deployed. https://x.com/TheHumanoidHub/status/1937211433940668610
