Lorenzo Giusti
370 posts

Lorenzo Giusti
@lorgiusti
director of agents’ orchestra | was a senior Research Scientist @cern | prev. R.S. @nasajpl | Usually, I let LLMs digest big graphs.
🇨🇭 Katılım Nisan 2022
247 Takip Edilen1.4K Takipçiler

.I've joined the agentic AI team at @nvidia . I believe it's going to be extremely rewarding to shape what AI agents can do, and I'm excited to be building at the frontier of it. More soon.
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Lorenzo Giusti retweetledi

Most language models only generate one token at a time.
We just released Nemotron-Labs-Diffusion, a family of diffusion language models that take a different approach, generating multiple tokens in parallel within a single model. Rather than committing to each token permanently, these models can revise as they go, resulting in faster inference that better utilizes modern GPUs.
The full model family ranges from 3B to 14B, including vision-language variants. Available now: nvda.ws/4tEnTxP
GIF
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Lorenzo Giusti retweetledi

Neural networks do math by rotating shapes.
We found a shape-rotating calculator hidden inside an LLM – and it’s used for more than just math! (1/6)
Goodfire@GoodfireAI
Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵
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LLMs can hide a text in another text of the same length.
I'll explain how, it is very simple, you'll understand before I finish, and smile.
That's what I noticed during my #ICLR2026 poster session in Rio! 🇧🇷
Too bad you missed it, but let me remedy now



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Lorenzo Giusti retweetledi

Why is nobody talking about this?
NVIDIA is giving developers free access to ~80 hosted AI models via API.
Models include:
• MiniMax M2.7
• GLM 5.1
• Kimi 2.5
• DeepSeek 3.2
• GPT-OSS-120B
• Sarvam-M
…and more.
Works with Cursor, Zed, OpenCode, Hermes, OpenClaude, etc.
Setup:
1. Get API key → build.nvidia.com/models
2. Use base URL: "integrate.api.nvidia.com/v1"
3. Choose model ID (example: `minimaxai/minimax-m2.7`)
4. Plug into your AI IDE / app
If you're experimenting with AI apps,
this is basically free inference.
Most builders have no idea this exists.
Thank me later.

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Lorenzo Giusti retweetledi

Happy Friday!
We just put DeepSeek-V4-Pro up on build.nvidia.com. It’s the world’s largest open source model at 1.6T parameters, and you can run it for free running on NVIDIA Blackwell GPUs.
Try the NVIDIA NIM API → build.nvidia.com/deepseek-ai/de…
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Lorenzo Giusti retweetledi

Why is no one talking about this?
@nvidia is offering around 80 AI models via hosted APIs absolutely for free.
You get access to MiniMax M2.7, GLM 5.1, Kimi 2.5, DeepSeek 3.2, GPT-OSS-120B, Sarvam-M etc.
This plugs straight into OpenClaude, OpenCode, Zed IDE, Hermes agent and even with Cursor IDE.
Setup:
– Grab API key: build.nvidia.com/models
– base_url = "integrate.api.nvidia.com/v1"
– api_key = "$NVIDIA_API_KEY"
– select model (e.g. minimaxai/minimax-m2.7)
If you’re building or experimenting, this is basically free inference.
Lock in and start building today anon.
Thank me later.

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Lorenzo Giusti retweetledi

also, addition is a special case of multiplication
Stat.ML Papers@StatMLPapers
Ordinary Least Squares is a Special Case of Transformer ift.tt/h3UFDBs
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