Luis Capelo

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Luis Capelo

Luis Capelo

@luiscape

Interested in deep learning research and applied AI systems. Building serverless at @modal

New York, NY Katılım Mayıs 2009
3.4K Takip Edilen1.6K Takipçiler
Luis Capelo retweetledi
Modal
Modal@modal·
Day 0 support for Step 3.7 Flash on Modal. - 198B parameter MoE with 11B active - 256K context - 3 reasoning levels - Native image & video understanding Great to work with @StepFun_ai and @sgl_project on this one.
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Charles 🎉 Frye
Charles 🎉 Frye@charles_irl·
Step 4 to achieve truly serverless GPUs for AI inference: skip over unserializable inference engine setup steps like CUDA graph capture and Torch compilation by stacking GPU snapshots and CPU snapshots.
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Dan
Dan@aidaniil·
@botir33751732 @modal Happy to chat with someone from @modal to see how this can work with our usecase. Can someone tag anyone I can talk to below?
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Dan@aidaniil·
Is there a fast and reliable service to spin up full VMs in under a second? Everything we have tried so far is either fast or reliable, not both.
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Luis Capelo
Luis Capelo@luiscape·
@lemos_ronaldo Vale muito a pena data centers no Brasil mas como faz pra avançar a questão do imposto de importação? O primeiro passo é a remoção dos impostos nas GPUs da NVIDIA e todos os materiais relacionados a data centers.
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Ronaldo Lemos (林纳德)
Ronaldo Lemos (林纳德)@lemos_ronaldo·
🚨 Falei hoje no Senado sobre data centers. 🟢 O Brasil tem hoje a combinação mais favorável do planeta para liderar IA sustentável: grid 10x mais limpo que EUA, maior potencial eólico-solar, cabos submarinos em Fortaleza, e biometano com potencial de 120 milhões m³/dia. Segue🧵
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Luis Capelo retweetledi
Erik Dunteman
Erik Dunteman@erikdunteman·
So happy the acquisition is public so I can finally post about the cool shit we’re building at @modal This was a fun project:
Akshat Bubna@akshat_b

To show off what you can do with @OpenAI Agent SDK + @modal, we built an ML research agent (inspired by @karpathy). It can: - Spin up GPU sandboxes of any shape - Run a pool of subagents - Persist memory - Snapshot state for fork/resume Here it is playing Parameter Golf:

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Julian Peters
Julian Peters@BuiltByJulian·
To every builder: Don't use @modal to run AI models. I set it up some weeks ago and use it in production across 3 different apps. Since yesterday all calls are failing and I can't login, I assume they suspended my account without notifying me, their support is unresponsive.
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
Build long-running agents with more control over agent execution. New capabilities in the Agents SDK: • Run agents in controlled sandboxes • Inspect and customize the open-source harness • Control when memories are created and where they’re stored
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Modal
Modal@modal·
The future of artificial intelligence is physical. @physical_int runs robotic control inference on Modal with >2x lower latency than the lag between your brain and your finger.
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Modal
Modal@modal·
We partnered with @Zai_org to bring GLM-5.1 to Modal. Free to try as an endpoint for the next month. GLM-5.1 further improves upon GLM-5's coding abilities and long-horizon effectiveness.
Z.ai@Zai_org

Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5.1 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.

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Josh Albrecht
Josh Albrecht@joshalbrecht·
mngr: programmatically manage 100s of claude code sessions in parallel 🤖 open source today. lets you do things like: — for each open GitHub issue, create a PR — for each flaky test in the past week, fix it — for each rule in style guide, scan codebase & fix all instances runs any agent: @claudeai, codex, @opencode, etc. runs on any compute: locally, @modal, @Docker, or anything you can ssh into.
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