Your curated collection of saved posts and media
What if your AI tool didnβt just respond to prompts but helped you think like a product leader? Say hello to @braingridai - the AI planner / product manager in your workflow. π§© With BrainGrid you can: β’ Turn strategy conversations into structured plans β’ Build roadmaps with context, not just text outputs β’ Track goals, constraints, and decisions - not chaos Itβs not another chatbot. Itβs an AI product partner - scoped for how work actually gets done. Whether youβre: β Scoping a new feature β Running discovery frameworks β Aligning teams around priorities BrainGrid makes your process clearer, faster, and more grounded in real context. Curious how it works? Drop a πΉ or DM us and weβll share a walkthrough.
Love this notion of BrainGrid being your Technical Co-founder https://t.co/p92dCXKRgH
Looks like following the Nextjs + vercel strategy. Don't blame them the framework + the cloud services optimized for it is a solid strategy https://t.co/CJPEClpgOr
Can't tell you how handy this page has been https://t.co/jqzjgQG9Yt
Letβs find the tech you should try this year π First word you spotβ¦ thatβs the one. Letβs go π https://t.co/jzA5SOSPqf
Letβs find the tech you should try this year π First word you spotβ¦ thatβs the one. Letβs go π https://t.co/jzA5SOSPqf
Literally all you need to lock in for 2026. https://t.co/GuMdZ7PWVU
Literally all you need to lock in for 2026. https://t.co/GuMdZ7PWVU
Continuing to have AI build a weird game demo a day. Here is: "Make a game where you have to prevent the apocalypse, but the interface is just Jira tickets" Pretty fun/funny branching storyline, all text is AI created with minor feedback from me. Play: https://t.co/Zr5OM7z3FN https://t.co/wkQhX2zIo8
The Management Linda responses to various supernatural anomalies, which were 100% the AI's idea and writing, are actually pretty funny. https://t.co/Me0K03xbQh
I've solved a second Erdos problem (#281) using only GPT 5.2 Pro - no prior solutions found. Terence Tao calls it "perhaps the most unambiguous instance" of AI solving an open problem: https://t.co/TBiCwiSFzl
I just got an email from @hm pretending to be @base asking me to upgrade my @baseapp What the in the phishing hell is that ??? https://t.co/mQPqJ3OHSj
Waypoint-1 hackathon π January 20th in SF Model weights + compute on day one. Build something cool with world models, winner takes home an RTX 5090. π 1/2 π§΅ https://t.co/9zVErKFz6T
instagram knows me well https://t.co/93M0ZMmG9a
"Today, I urge you to take action: use AI to unlock new parts of your imagination. Lead with your ideas, stay sharp, but remember - never surrender your thinking to AI." @FLOTUS https://t.co/iOf84wX9kv
Despite theoretically handling long contexts, existing recurrent models still fall short: they may fail to generalize past the training length. We show a simple and general fix which enables length generalization in up to 256k sequences, with no need to change the architectures! https://t.co/Q7oPtIwjgj
I converted one of my favorite talks I've given over the past year into a blog post. "On the Tradeoffs of SSMs and Transformers" (or: tokens are bullshit) In a few days, we'll release what I believe is the next major advance for architectures. https://t.co/DKXAKpajBt
π¦πQuACKπ¦π: new SOL mem-bound kernel library without a single line of CUDA C++ all straight in Python thanks to CuTe-DSL. On H100 with 3TB/s, it performs 33%-50% faster than highly optimized libraries like PyTorch's torch.compile and Liger. π€― With @tedzadouri and @tri_dao https://t.co/IktUWUNOWT
I really like Phil Tillet's framing of different tools having different tradeoffs in productivity and performance: torch compile, triton, CUDA, PTX. It's still early but CuTe-DSL and similar Python-based DSL might bend this curve. And soon we can probably get LLMs to generate these kernels! Phil's talk here: https://t.co/Kze5TwOzL4
Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data https://t.co/XkAWpgNIGs

π Hello, Kimi K2! Open-Source Agentic Model! πΉ 1T total / 32B active MoE model πΉ SOTA on SWE Bench Verified, Tau2 & AceBench among open models πΉStrong in coding and agentic tasks π€ Multimodal & thought-mode not supported for now With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build! π API is here: https://t.co/EOZkbOwCN4 - $0.15 / million input tokens (cache hit) - $0.60 / million input tokens (cache miss) - $2.50 / million output tokens π Tech blog: https://t.co/2RP7U3iakZ π Weights & code: https://t.co/4ukcXB0iP6 π Github: https://t.co/B2bA4SfXBl Try it now at https://t.co/85jA71X9gw or via API!

https://t.co/UjezOE9WEJ marks the start of a short series of blogposts about CUTLASS 3.x and CuTe that we've been meaning to write for years. There are a few more parts to come still, hope you enjoy!
Using CUTLASS CuTe-DSL, TogetherAI's Chief Scientist @tri_dao announced that he has written kernels that is 50% faster than NVIDIA's latest cuBLAS 13.0 library for small K reduction dimΒ shapes on Blackwell during today's hotchip conference.Β His kernels beats cuBLAS by using 2 accumulation buffer to overlap epilogue. Developers like Tri Dao is one of THE advantage of the CUDA moat as Tri Dao exclusively uses NVIDIA GPUs and open sources most of his kernels to the rest of the NVIDIA developer base.Β Suppose @AnushElangovan wants Tri Dao & his team implementing algorithmic breakthroughs on ROCm. In that case, it should offer @vipulved favourable deals to support AMD GPUs on TogetherAI GPU Cloud Service such as giving him 50mil of debt backstop & debt forgiveness in addition to renting back most of AMD GPUs that Vipul/Tri Dao would buy for internal AMD R&D purposes. Google paid 2.7Billion dollars for Noam Shazeer, Zucc paid 100mil for OpenAI engineers, AMD has enough cashflow to pay TogetherAI/Tri Dao 50mil to seed the ROCm ecosystem.
Clarification: I was comparing A @ B + C here, where the cute-dsl version is quite good at overlapping the epilogue. On the standard matmul A @ B, cuBLAS is very good. Updated numbers here https://t.co/cloXCfz3Tc
Using CUTLASS CuTe-DSL, TogetherAI's Chief Scientist @tri_dao announced that he has written kernels that is 50% faster than NVIDIA's latest cuBLAS 13.0 library for small K reduction dimΒ shapes on Blackwell during today's hotchip conference.Β His kernels beats cuBLAS by using 2

What if your LLM inference automatically got faster the more you used it? Introducing ATLAS from the Together AI Turbo research team. Read more: https://t.co/ASRNUpqoAE Hereβs Together AI Founder and Chief Scientist @tri_dao introducing ATLAS: https://t.co/ul6zHccgYL
We've raised $100M from Kleiner Perkins, Index Ventures, Lightspeed, and NVIDIA. Today we're introducing Sonic-3 - the state-of-the-art model for realtime conversation. What makes Sonic-3 great: - Breakthrough naturalness - laughter and full emotional range - Lightning fast -β¦ https://t.co/EGwdxMnd1X
We're excited to welcome 28 new AI2050 Fellows! This 4th cohort of researchers are pursuing projects that include building AI scientists, designing trustworthy models, and improving biological and medical research, among other areas. https://t.co/8oY7xdhxvF https://t.co/ZgHFfTYNU1

Hybrid models like Qwen3-Next, Nemotron Nano 2 and Granite 4.0 are now fully supported in vLLM! Check out our latest blog from the vLLM team at IBM to learn how the vLLM community has elevated hybrid models from experimental hacks in V0 to first-class citizens in V1. π https://t.co/mq5rkwchHk #vLLM #PyTorch #OpenSourceAI #HybridModels
@typewriters @sharongoldman @tszzl @SebastianCaliri Did you read the article? Most of what you're citing is unrelated to the complaints voiced in the article. The article details very real very prominent concerns that people have. I disagree with some of those concerns but they aren't irrational or unfounded. https://t.co/KgeUY4o3ij

@agopal42 It looks like this table has the PoPE row shifted https://t.co/5ycMNjTznK
@agopal42 Oh, it looks like an error on arXiv's part actually, since it's correct in the PDF https://t.co/2tDqN37v4l
@alz_zyd_ It boggles my mind that someone thought this is a good proof of such an essential theorem. I absolutely would have proven it your way if someone asked me to teach it to them. Your instincts here are excellent! Also, I highly recommend the 3B1B videos: https://t.co/mhxnQHYWC8