good time to follow: https://t.co/gXBMN9AXI3

New rule: if your insightful comment on AI was already in this super cool 1977 paper about "AI is becoming so powerful it will change the world as we know it," you lose. (1/10) https://t.co/goCvQZZpwE

TIL if you opt in for the glycerol stock add-on in a genscript order it gets shipped with a big pile of dry ice! Fun for the whole family 😁 the streak that appears in gif #2 is from a cosmic ray! https://t.co/ZpNHmejaSz

for data-constrained pre-training, synth data isn’t just benchmaxxing, it lowers loss on the real data distribution as we generate more tokens for even better scaling, treat synth gens as forming one long 𝗺𝗲𝗴𝗮𝗱𝗼𝗰: 1.8x data efficiency with larger gains under more compute https://t.co/d2BuB2vT4K

Does AI make us collectively dumber? Is "grok wat do u think" the new "I've outsourced my common sense to a chatbot and I feel great about it"? A study secretly made an AI give wrong answers half the time while people used it to solve logic puzzles. People followed the wrong AI 80% of the time. Their confidence went up regardless. This is the "cognitive surrender". The moment people stop asking "is this true?" and start asking "what does the model say? I don't care, too". The habit of deference is sticky.

+1 more

I love Safari on iOS but @perplexity_ai Comet is so much better! https://t.co/qeElH7Gcaz

I love Safari on iOS but @perplexity_ai Comet is so much better! https://t.co/qeElH7Gcaz

Putting out a wish to the universe. I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss. I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook https://t.co/lorDSUEYCL My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle. ——— If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏

taking my emotional support graphs to go credit: @sir_untamable https://t.co/5iyHKQfc8J

Unsloth Studio now installs in just one line of code! 💚 Available on macOS, Windows and Linux. You can also run @NVIDIA's new model Nemotron 3 4B locally on just 4GB RAM. https://t.co/D1ydcaZO8f

How can a voice agent tell when you’re actually interrupting it? VAD is too sensitive—laughs, “mm-hmm,” or a sneeze shouldn’t stop the agent. We trained an audio model for adaptive interruption handling so agents can distinguish real interruptions from noise. https://t.co/m9suWvfnAm

This has to be one of the funniest responses to an FCC filing of all time 🤣🤣🤣 https://t.co/VixiYyutmp

Here's how you can Chibify your photos with @imagine. Try the Chibi template in the Grok app or on web. https://t.co/E2k76l1v82

@stephenrodrick @kevinmdraper https://t.co/8yuzhbdOjO

Anthropic doesn't let you run two Claude accounts at the same time. So I hacked macOS to do it anyway. Now I have 4 completely isolated Claude instances running simultaneously: → Personal Desktop app → Work/Client Desktop app → Personal terminal (Claude Code) → Work terminal (Claude Code) Separate billing. Separate memory. Separate MCP servers. 1-click Dock launchers. Here's exactly how I set it up 👇

Don't sleep on the Chuck Norris story in Jessica Simpson's memoir. https://t.co/6hHSNAYjDv https://t.co/I1ZktjqGcv

Don't sleep on the Chuck Norris story in Jessica Simpson's memoir. https://t.co/6hHSNAYjDv https://t.co/I1ZktjqGcv

Jensen Huang: "If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than a chip designer who says 'I'm just going to use paper and pencil. I don't think I'm going to need any CAD tools.'" https://t.co/CcoYHRgrpy

Proteins can now talk. Introducing BioReason-Pro, the first reasoning model for protein function. A thread🧵

PyTorch 2.10 is now optimized for @Intel Core Ultra Series 3 processors to bring high-performance AI to the PC and edge. This release leverages the new Xe3 architecture and Arc B-series GPUs to deliver up to 120 XMX TOPs. Native TorchAO integration enables seamless int4 weight-only quantization, allowing a Llama 3.2 3B Instruct model to run locally with a first token latency of 242.29 ms and a 2+ token latency of 27.24 ms. For edge scenarios, developers can achieve 1.4x to 1.7x faster training for vision models via Anomalib, with WinClip seeing gains up to 2.5x compared to previous generations. Read our latest blog from the Intel PyTorch and Client AI SW teams for the full technical deep dive and benchmarks: https://t.co/pEGpmwtROi #PyTorch #Intel #AIPC #EdgeAI #OpenSourceAI

Nvidia has nearly doubled over the last two years. (12x over last five). But it’s fallen since GPT-5 came out. People are no longer buying the hype. https://t.co/uSq8hwYT3M

Jesus CHRIST https://t.co/omIIejTdxt

Jesus CHRIST https://t.co/omIIejTdxt

Thread on VJEPA 2.1🤟 This DEFINITELY flew under the radar: just a few days ago, @AIatMeta released V-JEPA 2.1, taking a massive step toward closing the gap between image and video domains. For a long time, image backbones were the only option for solving dense vision tasks. This model disagrees, showing that universal spatial understanding also emerges from large-scale video models!🎥

4/ The nonsense beats coherent prose in EVERY configuration. 18 out of 18. GPT-5, 5.1, 5.2, 5.3, 5.4. With reasoning, without, maximum reasoning. The nonsense wins every time. https://t.co/WxfV3kW96f

I've got a new profile of Alex Bores—running for Congress in Manhattan and the prime target of the AI-industry-backed Super PAC Leading the Future—out today for @POLITICOMagazine. Some reporting nuggets… https://t.co/1TOf4C1fZe

Range. https://t.co/70PMz76oXX

+2 more

Range. https://t.co/70PMz76oXX

+2 more