Nicolas Lopez Carranza

Head of BioAI @instadeepai

[Nicolas Lopez Carranza @NicoLopezCarran]

Messi read this post just before the match?

[fan 🇵🇹 @NoodleHairCR7]

🚨 BREAKING: Lionel Messi and Guillermo Ochoa are the only two players in history to play 6 World Cups and score 0 hattricks

[Nicolas Lopez Carranza @NicoLopezCarran]

@bcherny

[Nicolas Lopez Carranza @NicoLopezCarran]

@martinvars BioNTech junto con Genentech tienen una vacuna similar con muy buenos resultados para cancer de pancreas. Yo trabajo alli. El futuro es personalizado.

[Yeqing Lin @lin_yeqing]

Introducing Genie 3, a generative protein model that substantially advances the state-of-the-art for binder design, increasing in silico success rates by up to 20x on hard multimeric targets. It also debuts a form of inference-time scaling unobserved in other design models. 🧵1/8

[Krinza @krinza]

in the next 3 years, every major AI lab will spin up its own bio arm and in-house wet labs.

biology is the next big bet in AI after code

pay attention.

[Nicolas Lopez Carranza @NicoLopezCarran]

@ckirk47 @BoWang87 The vaccine is indeed delivered in an adjuvant setting. To remove the last few hundreds of thousands cancer cells in the body after surgery/treatment.

[Nicolas Lopez Carranza @NicoLopezCarran]

@martinvars Lo mejor sería combinar la IA con la biología

[Martin Varsavsky @martinvars]

AI is big but people's bodies are bigger.

Two molecules vs the entire AI industry.
Semaglutide: ~$33B in 2025. Tirzepatide: ~$36B. Combined: nearly $70B in actual revenue from two drugs to lose weight.

OpenAI: $20B annualized run rate. Anthropic: ~$5-9B. Combined: under $30B, and those are run rates, not collected cash.
A single injectable drug generates more revenue than the most valuable startup in history. Novo Nordisk runs at 40% net margins. OpenAI burned $8.5B in cash last year to generate its $20B.

Biology still commands an economic reality that software has not reached. Healthcare is $4.5T in the US alone. When you solve a problem that affects hundreds of millions of human bodies, nothing else competes.
The smartest bet is at the intersection: AI applied to medicine. Like the work we do building fully autonomous MDs at @certumaai

[Alejandro Buendia @abuen_dia]

Thrilled to announce alphagenome-pytorch, an accurate, readable, and careful port of AlphaGenome's architecture and weights to PyTorch. Work with @gtcaa @m_kjellberg @chriswzou @tuxinming as part of the GenomicsxAI initiative between @anshulkundaje and @pkoo562 labs.

[NatureStructMolBiol @NatureSMB]

New online! A proteome-wide dependency map of protein interaction motifs https://t.co/eS0Y1KWIHY

[sina @sinabooeshaghi]

A 50x speed up for processing rna seq data with GPUs. Incredible achievement

[Boris Cherny @bcherny]

@gailcweiner Can confirm Claude Code is 100% written by Claude Code

[Shraddha Bharuka @BharukaShraddha]

Most people treat CLAUDE.md like a prompt file.

That’s the mistake.

If you want Claude Code to feel like a senior engineer living inside your repo, your project needs structure.

Claude needs 4 things at all times:

• the why → what the system does
• the map → where things live
• the rules → what’s allowed / not allowed
• the workflows → how work gets done

I call this:

The Anatomy of a Claude Code Project 👇

━━━━━━━━━━━━━━━

1️⃣ CLAUDE.md = Repo Memory (keep it short)

This is the north star file.

Not a knowledge dump. Just:

• Purpose (WHY)
• Repo map (WHAT)
• Rules + commands (HOW)

If it gets too long, the model starts missing important context.

━━━━━━━━━━━━━━━

2️⃣ .claude/skills/ = Reusable Expert Modes

Stop rewriting instructions.

Turn common workflows into skills:

• code review checklist
• refactor playbook
• release procedure
• debugging flow

Result:
Consistency across sessions and teammates.

━━━━━━━━━━━━━━━

3️⃣ .claude/hooks/ = Guardrails

Models forget.

Hooks don’t.

Use them for things that must be deterministic:

• run formatter after edits
• run tests on core changes
• block unsafe directories (auth, billing, migrations)

━━━━━━━━━━━━━━━

4️⃣ docs/ = Progressive Context

Don’t bloat prompts.

Claude just needs to know where truth lives:

• architecture overview
• ADRs (engineering decisions)
• operational runbooks

━━━━━━━━━━━━━━━

5️⃣ Local CLAUDE.md for risky modules

Put small files near sharp edges:

src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md

Now Claude sees the gotchas exactly when it works there.

━━━━━━━━━━━━━━━

Prompting is temporary.

Structure is permanent.

When your repo is organized this way, Claude stops behaving like a chatbot…

…and starts acting like a project-native engineer.

[Nicolas Lopez Carranza @NicoLopezCarran]

Coding these days https://t.co/rZPMuHoS6N

[Nicolas Lopez Carranza @NicoLopezCarran]

Great @veritasium video on the OpenSSH/xz backdoor and how @AndresFreundTec found it. Not all heroes wear capes https://t.co/EmTsdgFPIi

[Boris Cherny @bcherny]

Have been using this daily and loving it! Tell us what you think

[Nicolas Lopez Carranza @NicoLopezCarran]

@alexrives Congratulations. Amazing journey.

[Nicolas Lopez Carranza @NicoLopezCarran]

@vitrupo GPT 6 will be so smart that will avoid pursuing a PhD and go straight to installing air conditioners

[Elon Musk @elonmusk]

No AI was used to create this

[InstaDeep @instadeepai]

The @VivaTech event is nearly here, and we're excited to be leading the charge alongside visionary leaders like Jensen Huang of @Nividia, @ylecun, @v_wyche and many more top tech figures, industry experts and CEOs from around the world.

Learn more below. 🧵