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if you ask it about cybersecurity it falls back to Microsoft Teams
Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
@ar0cket1 the model did, it's a forward pass either way
hot take cache reads don't count as "tokens used" for "omg i used so many tokens"
evals are environments
I used to think of evals as "here is how you can see how good a model is" but i think of evals now more as "there is something you want to teach the model, and this is the test to figure out if the model actually learned it". Yes, similar, but I think the latent matters.
Tomorrow @sh_reya and I kick off this free AI product engineering mini-course. Topics covered over 12 talks: 1. Design/UX & Evals 2. Retrieval 3. When & how to use open models effectively With these legends: @TheZachMueller @bclavie @xeophon @GoAbiAryan @barrowjoseph @willccbb @marek_galovic @beirmug Sign up & learn more here maven.com/lls/21f487
The stuff Prime is doing is exceedingly important. There are many large corporations that could afford and benefit from private RL optimization of proprietary systems for internal use, a capability limited to the hypertech class for a long time. Amazing unlocks happening
prime-rl can now train 1T parameters MoE blazingly fast, under 5 minutes per step, or 1k steps in ~3 days To achieve this we shipped in our latest prime-rl 0.6.0: * inference: wide-ep, fp8 inference, llm-d router, mooncake, kv cache cpu offloading * training: fsdp2, deep-ep
Every leading closed player compounds largely on his own. Established oss players, and underdog closed players, get to pool their resources and brain power to compound in the open. Who’s compounding faster? Why not at least ask the question?
prime-rl is fully open source, and we're hiring systems engineers to take it further. Read the full prime-rl performance deep dive: primeintellect.ai/blog/rl-at-1t-…
Today we're releasing prime-rl v0.6.0 — enabling RL at trillion-parameter MoE scale on agentic workloads at the highest efficiency. We've relentlessly optimized our RL infra. The result: GLM-5 on agentic SWE tasks at 131k context and sub-5-minute step time.
@deepfates @thkostolansky there will be individual instances of continually learning agents that become misaligned, the multipolar benefit is resilience through heterogeneity + institutions which favor alignment society has evolved well to deal with this same dynamic in humans, we can do it again
just finetuned gpt-2 to fable-level performance on terminalbench. they both get 0%
@Miles_Brundage @deltaVee42 concretely i was expecting it to update more *before* searching but conditioned on *me telling it to search* explicit permission to search = evidence i'm not lying
Golden writeup on scaling synthetic task generation with scaling difficulty. Even if you are just trying to train an agent for some atypical domain the approach gives you a path towards generating something decent. As a GPU-poor solo non-researcher that is trying to pickup valid methods, detailed walkthroughs like this are 🤌
@hallerite check this out primeintellect.ai/blog/general-a…
Elmar Weywadt Jóhann... @weywadt
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𝖆𝖓𝖓 𝖌𝖆... @telekineticpxls
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b @bmontxna
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5K Followers 1K Following LLM Lead at Ricursive Intelligence | ex-Gemini @ Google DeepMind | Computer Architecture PhD @ UT Austin🤘 | Opinions stated here are my own.
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ro @intermachina
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Mahesh Sathiamoorthy @madiator
15K Followers 1K Following RL Environment Curation. Data Curation (OpenThoughts). Post-training. CEO @bespokelabsai. Ex-GoogleDeepMind.
Dillon Mulroy @dillon_mulroy
32K Followers 4K Following principal engineer @cloudflare • tweets about functional programming, typescript, neovim, & formula 1 • https://t.co/6Vr6DiQUoM • https://t.co/tlUe9v9eZC
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114K Followers 567 Following @LangChain Always hiring: https://t.co/D5Ut3loFO7
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81K Followers 901 Following Creator of Flask. Building at https://t.co/uGuzfu0LKT. Bypassing Permissions. Can hand crank. Husband and father of 3 — “more nuanced in person”
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413 Followers 240 Following Building PostTrainBench, current @MATSprogram Evals, Long horizon, Interp, Safety | PhD @ Max Planck, Tübingen Prev: @MSFTResearch
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16K Followers 1K Following Training VLMs at @GoogleDeepMind - ex @Amazon @CarnegieMellon @PoliTOnews @IITalk - I post honest non-AI-generated paper reviews
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410 Followers 272 Following SWE @cursor_ai / prev @SouthPkCommons, @figma
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3K Followers 163 Following PyTorch TPU @google | ex @meta | Obsessed with AI & ML Performance | Building what’s next 🔥 | Views are my own
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295 Followers 1K Following Agentic Post-training Research at Microsoft | Building M365 Copilot
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1K Followers 835 Following CTO/Cofounder of Brev now NVIDIA Adding vibes to GPUsYou might like
