Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision.
The longer and more complex the task, the larger Fable 5’s lead over our other models.
The age of AI needs a new kind of CPU.
Introducing NVIDIA Vera.
The CPU for agents, delivering 80% faster agentic task completion compared with x86 CPUs. Vera is built to power the CPU-intensive work behind modern AI factories, from agentic AI and reinforcement learning to data processing and orchestration.
Claude 4.8 Opus refatorou todo o meu código em uma única chamada!! 25 invocações de ferramentas. Mais de 3.000 linhas novas. 12 arquivos totalmente novos. Modularizou tudo. Desfez os monolitos. Limpou a bagunça. Nada funcionou. Mas foi lindo!!!!
Claude Code 4.8 é insano.
eu literalmente NÃO SEI NADA sobre programação. ZERO. e eu acabei de criar 3 aplicativos web totalmente funcionais em 30 minutos.
http://localhost:3000/
http://localhost:8000/
http://localhost:5000/
dá uma olhada.
Nada disso é sátira.
→ Uma empresa gastou mais de 500 MILHÕES de dólares com Claude em apenas 1 mês porque ninguém colocou limite de uso.
→ A Uber criou rankings internos onde engenheiros eram avaliados por quanto usavam IA, não pelo que entregavam.
→ A Uber queimou praticamente todo o orçamento de IA de 2026 antes mesmo de abril acabar. O COO admitiu que não consegue ligar os gastos a nenhuma melhoria real pro consumidor.
→ Um CTO revelou à Axios que funcionários estavam usando IA corporativa até pra ver previsão do tempo.
→ A Microsoft cancelou grande parte das licenças do Claude Code depois que a conta de tokens saiu completamente do controle.
→ Empresas começaram a demitir pessoas não porque a IA substituiu o trabalho…
Mas porque a fatura da IA substituiu a folha de pagamento.
A bolha da IA talvez não exploda pela tecnologia falhar.
Talvez exploda porque ninguém percebeu que dar acesso ilimitado a modelos gigantes é como deixar um cartão corporativo infinito em cima da mesa.
agente matou um monolito que respondia em 10ms pra subir uns 20 microsserviço.
agora a request leva 800ms só passeando pela rede. a aws cobra o triplo e o log é um labirinto.
mas o diagrama da arquitetura ficou lindo no slide do tech lead. valeu a pena.
THIS GUY BUILT A PHYSICAL DEVICE THAT SITS ON YOUR DESK AND SHOWS YOUR CLAUDE CODE USAGE LIMITS IN REAL TIME
it's called clawdmeter. it runs on a $32 waveshare ESP32 dev board with a 480x480 AMOLED display
instead of checking the claude code UI or guessing how much usage you have left, you can now just glance at your desk
at this point anthropic should just mail these to us for free
but i also don't need MORE claude usage anxiety
AND it's open source on github.
this situation says EVERYTHING about the current state of the product
the claude code accessory market is booming in real time
ANTHROPIC JUST PLUGGED INTO SPACEX'S SUPERCOMPUTER
And your Claude limits doubled overnight.
Here's what actually happened and why it matters:
Anthropomorphic signed a deal to use ALL compute at SpaceX's Colossus 1 data center - effective today.
→ 220,000+ NVIDIA GPUs added in under a month
→ Claude Code 5-hour limits: doubled for Pro, Max & Team
→ Peak-hour throttling on Claude Code: gone
→ Opus API rate limits: massively raised
This is on top of 5GW deals with Amazon and Google, $30B in Azure capacity with Microsoft, and $50B in Fluidstack infra.
Anthropomorphic is building one of the largest compute empires on Earth.
Usage limits are up, effective today we're:
1) Doubling Claude Code's 5-hour limits for Pro, Max, Team and seat-based Enterprise plans
2) Removing peak hours limit reduction on Claude Code for Pro and Max plans
3) Substantially raising our API rate limits for Opus models
Bir Google araştırmacısı, yapay zekânın bilinçli olmasının matematiksel olarak imkansız olduğunu kanıtladı.
10 yılda da değil. 100 yılda da değil. Asla.
Argüman teknik değil, yapısal.
Hesaplama, sürecin kendisi değil, bir sürecin tanımıdır.
Bir şeyin "hesaplaması" için, bilinçli bir gözlemcinin önce gerçekliği sembollere dönüştürmesi ve anlam ataması gerekir.
Bu gözlemci olmadan, yalnızca voltaj gradyanları vardır.
Makale buna Soyutlama Yanılgısı diyor.
Anlatıyı güçlendiren benzetme:
> Bir GPU fotosentezi mükemmel bir şekilde simüle edebilir
> Asla glikoz üretmeyecektir
> Simülasyon, somutlaştırma değildir
> Haritalar bölgeye dönüşmez
Çerçeve, yapay zekânın bilinçliliğini tamamen dışlamıyor.
Bir makinenin bilinçli olması durumunda, bunun kodundan değil, fiziksel yapısından kaynaklanacağını söylüyor.
Ölçeklendirme parametreleri kategoriyi değiştiremez.
O Brasil são 3 países combinados: Índia para os pobres, Bélgica pra classe média alta, e Arábia Saudita absolutista pra classe política/alto funcionalismo público, sendo eles membro da nobreza.
Javier Milei: “No tengo nada en contra de los artistas. Yo mismo tuve una banda de rock. Mi problema es que si necesitas una subvención del gobierno para hacer arte, ya no eres un artista, eres un empleado público.”
Milei es un número uno.
https://t.co/SQeY55YZjZ
Most people think using Claude Code is about writing better prompts.
It’s not.
The real unlock is structuring your repository so Claude can think like an engineer.
If your repo is messy, Claude behaves like a chatbot.
If your repo is structured, Claude behaves like a developer living inside your codebase.
Your project only needs 4 things:
• the why → what the system does
• the map → where things live
• the rules → what’s allowed / forbidden
• the workflows → how work gets done
I call this:
The Anatomy of a Claude Code Project 👇
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1️⃣ CLAUDE.md = Repo Memory (Keep it Short)
This file is the north star for Claude.
Not a massive document.
Just three things:
• Purpose → why the system exists
• Repo map → how the project is structured
• Rules + commands → how Claude should operate
If CLAUDE.md becomes too long, the model starts missing critical signals.
Clarity beats size.
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2️⃣ .claude/skills/ = Reusable Expert Modes
Stop repeating instructions in prompts.
Turn common workflows into reusable skills.
Examples:
• code review checklist
• refactoring playbook
• debugging workflow
• release procedures
Now Claude can switch into specialized modes instantly.
Result:
More consistent outputs across sessions and teammates.
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3️⃣ .claude/hooks/ = Guardrails
Models forget.
Hooks don’t.
Use hooks for things that must always happen automatically.
Examples:
• run formatters after edits
• trigger tests after core changes
• block sensitive directories (auth, billing, migrations)
Hooks turn AI workflows into reliable engineering systems.
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4️⃣ docs/ = Progressive Context
Don’t overload prompts with information.
Instead, let Claude navigate your documentation.
Examples:
• architecture overview
• ADRs (engineering decisions)
• operational runbooks
Claude doesn’t need everything in memory.
It just needs to know where truth lives.
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5️⃣ Local CLAUDE.md for Critical Modules
Some areas of your system have hidden complexity.
Add local context files there.
Example:
src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md
Now Claude understands the danger zones exactly when it works in them.
This dramatically reduces mistakes.
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Here’s the shift most people miss:
Prompting is temporary.
Structure is permanent.
Once your repository is designed for AI:
Claude stops acting like a chatbot...
…and starts behaving like a project-native engineer. 🚀
Thank god MCP is dead
Just as useless of an idea as LLMs.txt was
It's all dumb abstractions that AI doesn't need because AI's are as smart as humans so they can just use what was already there which is APIs