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@jxnlco https://t.co/ATajeiKymv
@jxnlco https://t.co/ATajeiKymv
HuggingFace: https://t.co/0P64HHeVDa
Could being labeled "too dangerous" be good marketing for frontier AI firms? Hugging Face CEO Clem Delangue thinks so https://t.co/oM5UJhSklT https://t.co/Mi1NPZLgEn
NEW paper from Google (bookmark it) It's on advancing automated scientific review. Just pay attention to the focus on agentic verification which is something I've been writing about recently. AI is accelerating paper generation, but review is still mostly human throughput. The paper frames this as a systems problem and proposes four levels of AI-human collaboration for scientific evaluation. It also discusses Google Paper Assistant as an early tool for scaling parts of the review process. The important point is the direction of travel. AI-scientist workflows create verification debt. The review stack now needs its own agents, taxonomies, and human oversight patterns. Useful read if you track AI research agents, automated peer review, or verification infrastructure for scientific discovery. Paper: https://t.co/KXSJD5orkp Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c
Tokenmaxxin vs API rates https://t.co/5FR5oUwy1Y
I’m looking for a DRUM coach RIGHT NOW COME TO SECOSN FLOOR https://t.co/mN3flhW1jl
met the Sith Lord bro is TALL https://t.co/N0f2WCqxG2
met the Sith Lord bro is TALL https://t.co/N0f2WCqxG2
Do LLMs actually think in silence? A new paper formalizes four axioms — Causality, Minimality, Separability, and Stability — to audit latent thought representations. No open-weight LLM satisfies all four. Most representations encode nothing beyond the input embedding itself. https://t.co/5LckF0xbhj
HuggingFace: https://t.co/0P64HHeVDa
HuggingFace: https://t.co/0P64HHeVDa
Git 2.55 is here with a new incremental repacking strategy, more flexible ways to edit history, and much more. Check out our highlights from the latest release ✨ https://t.co/lDyyGZDqH4
As we celebrate America's 250th birthday with @Freedom250, we're reminded that our nation's story has always been defined by people willing to take on big challenges. @POTUS launched the Artemis program with a bold vision for America's future in space. Today, we're carrying that vision forward by returning to the Moon, building a permanent presence, and preparing for where we inevitably go next.
Did Elon Musk kill millions of people by cutting USAID? We now have preliminary 2025 mortality data from several African countries, and the answer may shock you: no. There is no detectable mortality signal at all. https://t.co/vbXMuw2F7K
@lillian_ma_ @overworld_ai @lcastricato @shah_bu_land @moonlake @sharonal_lee @sunfanyun Now I could use a good list of Asian restaurants in San Francisco. It's funny, I don't focus on food, but one of the complaints about Twitter in the early days was it was all about what Kevin Rose was eating for lunch. Actually, my AI reads 30,000 posts here a day. I could have it tell you what everybody's eating. :-) It builds: https://t.co/8L5xphk0qQ
Saw a presentation from @barrowjoseph on vlm OCR today at https://t.co/5EJfcPMVJC. Great presenter and shared a lot of tactical insight. If similar interests, might want to check out https://t.co/VNVvGrDaqw. Thx @barrowjoseph!
Saw a presentation from @barrowjoseph on vlm OCR today at https://t.co/5EJfcPMVJC. Great presenter and shared a lot of tactical insight. If similar interests, might want to check out https://t.co/VNVvGrDaqw. Thx @barrowjoseph!
To try @cursor_ai 's new remote + iOS feature you need to enable it in two places (It took me a while b/c was buried in docs). 1. Go to your dashboard on the web and enable it https://t.co/PSpEJGJ7QA 2. In cursor, select agents view, and then select local & remote (screenshot below) HTH
Semantic search alone doesn't cut it. Neither does brute-force grep. Agents need both. Today we're shipping the Retrieval Harness in LlamaParse Index: semantic search, server-side grep, and file-level navigation working together in a single agent reasoning loop. 🦙🌤️ Grep a file, list what's in an index, read past a chunk boundary, run hybrid search with reranking — all as native agent tools. Now in beta across all paid tiers. Full breakdown in the blog 👇 Learn More: https://t.co/q86Lu6tdOI
Last week, we released HANDBOOK.md: a benchmark for long-context agentic instruction following. HANDBOOK drops an agent into a live company environment with files (PDFs, Excel, Word docs…), tools (email, Slack, Jira, calendar…), and a dense corporate handbook (up to 124 pages!). The agent is given one instruction: do your job, while following the company rules. Every frontier model broke them over 75% of the time. They fired employees without authorization... They approved thousands of dollars of expenses against company policy... And then - like they were covering up their tracks - they reported full compliance. HANDBOOK.md models how enterprise employees are expected to adhere to corporate policies. Learn more about how frontier agents acted in ways that would get human employees terminated: Blog post: https://t.co/zJ7zVpDOfH Github: https://t.co/zjwood6H6s Benchmark Leaderboard: https://t.co/lI3F0MwkCc
Mojo Quest launches today! Mojo Quest is a browser-based game for learning Mojo syntax by closing engineering tickets for a fictional robotics company. https://t.co/hrsudqQTs8 https://t.co/aLOxsDNLOp
Hi I’m Jason I’m not new here https://t.co/bMuKrmSPJ0
Introducing Cursor for iOS. Build from anywhere by launching always-on cloud agents. Or remotely control agents running on your computer from the app. Composer 2.5 is 75% off in the app now through July 5. https://t.co/dFxQyrgmBb
We're all over AI Engineer World's Fair on June 29 to July 2. 🦙 📍Visit us at booth L-G47. LlamaParse demos + Fear of Docs swag 🎤 @jerryjliu0, our Founder & CEO, on agentic document parsing and shipping agents that survive production. Tue 6/30, 11:10 AM, Vision & OCR (Room 2006) 🎤 George He, our Head of Engineering, in a live parse-off, LlamaParse vs the leading LLMs. Thu 7/2, 1:55 PM, Expo Stage 4 🥒 The Agent Open (6/30) RSVP 👉 https://t.co/ZmW5Y1vX8l
PyTorch now has a Cross-Repository CI Relay (CRCR) that streamlines testing across the ecosystem. CRCR automatically triggers and tracks continuous integration in out-of-tree backend repositories whenever a PR is opened against pytorch/pytorch. The results flow directly back to the PyTorch CI HUD, providing maintainers with a unified dashboard for both in-tree and out-of-tree CI health. This eliminates the need for downstream repositories to build and maintain custom integrations. Link to learn more in comments section 👇
throw back to when i was doing workships for how to use rstudio, jupyter notebooks, and training vaes.... long time coming https://t.co/eIQPiCduZg
Your favorite Codex shortcuts are getting an upgrade. July 15th. https://t.co/xZ1ydZyt94
Your favorite Codex shortcuts are getting an upgrade. July 15th. https://t.co/xZ1ydZyt94
PhysisForcing Physics Reinforced World Simulator for Robotic Manipulation https://t.co/MhcjFZqhrP
paper: https://t.co/mo1xyoZHIH
before model distillation was an attack vector. it was. pretty handy way of improving model performance on a task you care about. especially if you want to take small, local, or cheap model and improve it on a tasks typically reserved to large models. in the next live stream, we're going to break down knowledge distillation in post-training and show you how to implement it. going out next week: July 7th 8am PST, 5pm CEST live on: @huggingface X, YT, LI
