Igor Costa (@igorcosta) header
Igor Costa (@igorcosta) profile picture

Building https://teapawt.net/t.co/25bFODy8ou , former @Microsoft, @GitHub, @AWS.

New Zealand
Joined April 2007
Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)Photo by Igor Costa (@igorcosta)
Frontier labs are advancing the capabilities in AI for biology but preventing the good guys (scientists, academia, non-profits, health agencies,...) to use, study and understand it with widespread but shallow guardrails that the bad guys are bypassing easily (blocked me to proofread this tweet for example 😅). This will automatically create massive assymetry and risks in the coming years, just like in cybersecurity, especially now that frontier labs are building wet labs (HF cybersecurity scenario for biology when?). This is why we created Carbon-X, the best open-source DNA model by midtraining Qwen3-14B on 300B tokens of DNA, English and interleaved data. We also used a hybrid tokenizer that tokenizes English with BPE and DNA with a 6-mer tokenizer. As a result, Carbon-X outperforms all open language models we evaluated on five benchmarks of DNA understanding and generation. This is a 27-point improvement over Qwen3-14B, showing how much a language model can gain from DNA training. It is also API frontier level at 1,800x less cost than GPT 6.1 Sol! We hope Carbon-X helps researchers explore DNA in new ways. Releasing it openly means anyone can study its capabilities, limitations, and risks. Let's make the AI biology frontier open-source to make it safe and impactful for the whole world (not just a few companies). Apache 2.0 Model on @huggingface: huggingface.co/HuggingFaceBi…
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Igor Costa retweeted
Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵
🤖 Made with AI
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Igor Costa retweeted
Routes puts one OpenAI-happy URL in front of all your models. Ask for an outcome (balanced, cheapest, fastest, strongest) and it picks a model for each request, and tell you why. Very early beta. Part one gets it going. Tell us what breaks. autohand.ai/updates/routes-p… @autohandai
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Igor Costa retweeted
Decision models in llama.cpp are now available The `/v1/systemone` endpoint is available in the latest llama builds. Use it to do Jev-style inference locally, efficiently and privately. Multiple open models are supported with more to come. huggingface.co/blog/ggml-org…
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Igor Costa retweeted
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Igor Costa retweeted
Be earnest, sincere, and brave. We are done with cynicism, irony, and cowardice. The next turning is here.
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Everyone is open sourcing everything right now. Why? AI made software a commodity. So you don't sell the software anymore, you sell everything around it: the hosting, the support, the enterprise tier, the trust, and the community. Open source is the default now!
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Great to see more than 230 organizations across the AI ecosystem have signed a letter supporting open weights as part of America’s AI future.  Their message: open weights enable more people to build, compete, and put AI to work.  Here’s why that matters. 🧵
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Igor Costa retweeted
Since launching last week, more than 230 companies and organizations from across the tech sector have signed the "Open Weights and American AI Leadership" open letter. We want to thank these partners for standing up and publicly supporting broader access to AI innovation. A special thanks to @nvidia, @a16z, and @PalantirTech for working with @Microsoft on this effort. These signatories understand that America’s AI leadership will not depend on the success of our frontier models alone, but on our ability to build a strong, secure, and open ecosystem that diffuses AI into every sector. We look forward to continuing to work with our partners and with policymakers to build that open ecosystem in a way that benefits American businesses, empowers American workers, and strengthens the American economy.
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Igor Costa retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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Concentration of power, capabilities and economic wealth is the biggest risk in AI. We need open science and open-source more than ever!
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Igor Costa retweeted
Performance:Qwen3.7-Max performs strongly across benchmarks in coding agents , and improves massively in general-purpose agents. Qwen3.7-Max also demonstrates exceptional strength on the hardest reasoning benchmarks, and stands out in general capabilities and multilingualism.
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Igor Costa retweeted
Saher Alghorra (NYT) has won the Pulitzer Prize for Breaking News Photography for "his haunting, sensitive series showing the devastation and starvation in Gaza"
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Igor Costa retweeted
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The highest quality video of the moon was just released… this is so beautiful.
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Not having your own individual LLM is as unacceptable as not having your own individual brain.
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Igor Costa retweeted
So many phonies, so few who are the real deal
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Piotr discovered something worrying: if you give an LLM a list of tools it's allowed to call, it might decide to also call a tool you didn't provide! Impacts all major US providers except @OpenAI. Be sure to check LLM tool call requests! (Lisette/Claudette check automatically)
Would you trust an LLM to handle access control? Major AI labs (Anthropic, xAI, Gemini) seem to do exactly that with tool calling. And it gets hairy. Let me explain 🧵 or read the blog post: answer.ai/posts/2026-01-20-t…
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Today we’re releasing the International AI Safety Report 2026: the most comprehensive evidence-based assessment of AI capabilities, emerging risks, and safety measures to date. 🧵 (1/17)
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Igor Costa retweeted
Amazing that @SchmidhuberAI gave this talk back in 2012, months before AlexNet paper was published. In 2012, many things he discussed, people just considered to be funny and a joke, but the same talk now would be considered at the center of AI debate and controversy. Full talk:
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