What day is today? Pets on terminal day! 🐾🐕🐇 https://t.co/Vzw4eijYqy

The long journey of rock in Nashville https://t.co/4VtIirZNrS

yeah that's pretty good xAI might be able to cook with Cursor data + 10T model https://t.co/73fwMkygwd

UK primary schools are teaching 7-year-olds they’re born with “white privilege.” Indoctrinating infants with race guilt is pure child abuse dressed as “anti-racism.” Britain is lost. https://t.co/V4nKEDikiH

Literary journals are now publishing, and awarding prizes to, AI written stories. Surprised this made it into Granta! https://t.co/qpqnBqew8K

Lukas Biewald (@l2k) built Weights & Biases into the system of record for AI model training at OpenAI, Meta, NVIDIA, and 30+ other foundation model builders. He also built it on ClickHouse. Now SVP of AI at CoreWeave, Lukas is joining us at Open House for a conversation on ecosystem and technology trends. Register free: https://t.co/zi3pfySY0v

These kids are serial criminals with a callous disregard for life. If they are ever released from jail they will surely harm again. Austin PD, Travis Co. Sheriff Office & Manor PD did their job. Texas Dept. of Public Safety aided them. The DA & Court must do their job and keep these criminals behind bars. https://t.co/O13i27f5Yd

Launching Mentra Live open-source smart glasses. Deploy smart glasses for real world work. We already shipped thousands. Now, they're generally available. Build apps that leave the screen. Let your AI step into the real world. https://t.co/GeVPhVEFkf

The acclaimed psychologist Abraham Maslow, burn this into your brain https://t.co/75VJfRGZyu

The acclaimed psychologist Abraham Maslow, burn this into your brain https://t.co/75VJfRGZyu

the AI trial of the century ended with a procedural whimper rather a bang; the jury agreed that Musk was too late but never weighed in on the questions of whether OpenAI did was legitimate. and so we will never know what the world might be like had OpenAI been forced to fully follow its original mission (as reprinted below).

I believe on-prem and local AI - based on @huggingface open-source models - will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)! Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality for enterprise today. Announced at the main keynote of Dell Technologies World.

"We give you model choice, without infrastructure chaos" — @MichaelDell, live from #DellTechWorld 🎤 Kimi K2.6, DeepSeek V4 Pro, GLM 5.1, MiniMax M2.7 & DeepSeek V4 Flash are now one click away on Dell Enterprise Hub, optimized for PowerEdge XE9780 with NVIDIA B300. https://t.co/ovygIMPcZ4

Reachy Mini is Assembled and Ready Shout out to @huggingface and @pollenrobotics #reachymini #Ai https://t.co/s012EE7Jul

Reachy mini rap battle at @aiDotEngineer Singapore! https://t.co/vic68kneyL

We have hit 1000 contributors on the repo, a nice milestone to start out the week. Thank you to all of the contributors who make the Hermes Agent magic possible! https://t.co/Agxke7vfOQ

now I have both Pi and Hermes working in t3code. you can follow my fork here. https://t.co/l9YjwlYP4S https://t.co/upiyV971yg

Well, this is a first: a ChatGPT-generated story won a prestigious literary prize (The Commonwealth Prize). "Not X, not Y, but Z" sentences everywhere, the "hums" trope, and plenty of other obvious markers of AI writing. A major milestone for AI, at any rate... @GrantaMag https://t.co/U6jWejprFv

vLLM and PyTorch worked together to fix a long-standing aarch64 install headache — as of PyTorch 2.11.0, pip install torch on GB200 / GB300 / GH200 just works. 🎉 What changed: PyTorch 2.11.0 now publishes CUDA-enabled aarch64 wheels to the default PyPI index. No more custom --index-url flags. No more transitive dependencies silently swapping your GPU build for the CPU wheel. New users on Grace Hopper and Grace Blackwell systems can follow the standard install instructions and have vLLM work the first time. In our latest blog, @KaichaoYou (co-founder @inferact, Lead Maintainer @vllm_project) shares the full story: 🐛 A 2024 hackathon bug bringing up vLLM on GH200 🔧 vLLM's in-tree workarounds (use_existing_torch.py and [tool.uv] build-isolation passthrough) 🤝 From GitHub issue to PyTorch Foundation TAC discussion 🚀 The fix landing in PyTorch 2.11.0, driven by NVIDIA and PyTorch core. A great example of cross-project collaboration under the PyTorch Foundation umbrella — and a reminder that boring infrastructure wins compound. Read the full story: https://t.co/JGnJ1X7sxl ✍️ : Piotr Bialecki (@nvidia) — @ptrblck_de, Alban Desmaison (@Meta), Andrey Talman (@Meta), Nikita Shulga (@Meta)

NEW paper from Meta. (bookmark it) It's an agent system that autonomously discovers neural architectures that beat Llama 3.2 at 350M, 1B, and 3B scales, all under a 24-hour compute budget. They get this work by splitting the search into two agents: > AIRA-Compose searches the macro architecture. > AIRA-Design implements the low-level mechanisms. For devs: If one agent in your stack is doing both strategy and implementation, split it. Run a planner that picks the structure and an implementer that fills in the mechanisms. AIRA shows this beats a single end-to-end agent on a real, non-toy search problem. The same split is useful for pipeline assembly, query planning, prompt scaffolding, and tool-use programs. Paper: https://t.co/CYALI6CFjJ Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

Reachy mini rap battle at @aiDotEngineer Singapore! https://t.co/vic68kneyL

Reachy mini rap battle at @aiDotEngineer Singapore! https://t.co/vic68kneyL

you can just do things at ai engineer singapore @aiDotEngineer https://t.co/zxr6LiDjJ5

you can just do things at ai engineer singapore @aiDotEngineer https://t.co/zxr6LiDjJ5

When a federal agency tasked with protecting all Americans decides to mandate a specific religious worldview, it ceases to protect democracy and begins to threaten it. https://t.co/cNxGJSIBPu

This is the single most important chart. If AI were driving prices, you'd see a cluster top-right. You don't. States with huge load growth (VA, TX, NV, ND, IA) sit at ~0c change in 5y. States with massive price hikes (CA, NY, MA, CT) have basically NO load growth. https://t.co/3s9DS0WdNA

"AI is hiking your energy bill" is the most popular political talking point of 2026. The data doesn't support it. A thread: https://t.co/jkmrdr5MEV

Verdict. https://t.co/3LVgAoYyMI

Verdict. https://t.co/3LVgAoYyMI

NEW paper worth reading. GPT-5.4 nano plus a critic-comparator orchestration loop hits 76.4% on SWE-bench Verified, matching standalone Gemini 3 Pro and Claude Opus 4.5 Thinking. The trick is to select from k=8 weak-model proposals using execution and proof signals. What does this mean? Many of the patches you'd expect from a frontier model are already inside a weak model's top-8 candidates. When you have 8 candidate patches from a weak model, don't ask the model which is best. Run them and verify them. That's enough to match a frontier model's accuracy. The takeaway for AI devs: a weak model's top-k often already contains the right answer. What limits you is the quality of your selector, not the capability of the model. Paper: https://t.co/Gx7j7EP9BM Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c