Fugu-Ultra is now live on @OpenRouter! ⚡
We share a core vision with the OpenRouter team: the future of AI isn’t a single monolithic model, but the collective intelligence of the world’s best models working together.
Try it: https://t.co/sVkbTPtXOl 🐡
Anthropic engineers just showed how to build agentic systems that run for days using "loops."
"At Anthropic, >30% of our code is already written by loops - that's how we ship so fast.
in this 40-minute workshop, they reveal the whole stack:
agent loop + harness + memory + sub-agents.
Worth more than any $500 vibe-coding course.
Watch workshop today, then read article below.
Everyone is building agents.
Nobody agrees on what an agent is.
"It's an LLM with tools."
"It's an autonomous system."
"It's a multi-step pipeline."
"It's just a for loop with an API call."
They're all partially right.
An agent is actually simple: an LLM + a tool call + a loop that takes feedback from the environment until it arrives at a solution.
That's it.
No framework required.
No PhD required.
No 6-hour YouTube course required.
Once you understand these 30 core concepts behind that loop — you can build anything.
Here they are ↓
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.
Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
atomic[.]chat tested the new Sakana Fugu Ultra against GPT 5.5, Opus 4.8, and GLM 5.2 in a live trading desk coding benchmark.
The task was to build a complete trading desk with both frontend and backend, along with real time market data for multiple symbols.
Fugu Ultra delivered the most polished and feature rich result. GLM 5.2 came surprisingly close in overall quality while costing roughly 17 times less.
GLM 5.2 is still the winner for me. It's significantly cheaper, and can even run locally.
Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.
Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.
Try it: https://t.co/hhO6qTawgb 🐡
Esse estudante universitário americano de 21 anos ganhou 43 mil dólares em um mês com uma namorada virtual de IA. Criou uma conta chamada Maya no OnlyFans e a mulher gostosa era apenas baseada no seu corpo e nos seus movimentos.
El padrino de la inteligencia artificial: "Si duermes bien esta noche, puede que no hayas entendido esta conferencia".
Esta conferencia de 47 minutos es lo mejor que he visto sobre inteligencia artificial en los últimos meses.
Definitivamente te ayudará a entender cómo funciona realmente y hacia dónde se dirige.
Geoffrey Hinton construyó las redes neuronales que hay detrás de cada inteligencia artificial actual y luego dejó Google para advertir al mundo sobre ello.
La parte que nadie quería escuchar:
La inteligencia artificial ya está desarrollando habilidades que sus creadores no tenían previstas.
En la mayoría de las tareas cognitivas ya está por delante de nosotros.
La pregunta ya no es si nos superará, sino cuándo.
La única decisión que queda es de qué lado de esa línea te encuentras.
Ahora mismo, la persona promedio abre Claude, escribe algo, obtiene una respuesta y cierra la pestaña.
Creen que están utilizando inteligencia artificial. Quizás estén usando un 10% de ella.
Repasé toda su conferencia y construí conceptos prácticos a partir de lo que estaba describiendo.
La brecha no estará entre las personas que usan inteligencia artificial y las que no.
Estará entre las personas que la entienden y las que no.
Empieza hoy con estos 20 conceptos de inteligencia artificial.
this is f*cking gold
How to build your first AI agent (Full guide)
if I had this a year ago, I would've shipped my first app in a day instead of 2 weeks
in the right hands, this changes everything:
Andrew Ng:
"100% of my tasks are now done by AI agents - hype has exceeded my expectations. Loops is next step.
in 3-6 months, everyone will be using self-improving loops. No more prompting."
In a 30-minute talk, Andrew Ng explains how to build self-improving agentic systems from scratch.
Worth more than a $500 agentic course.
A 27 YEAR OLD BANGALORE DEV BOUGHT A DECOMMISSIONED BANK SERVER RACK FOR $3,200 AT AUCTION AND NOW PULLS $24,000 A MONTH FINE TUNING LLMs FOR US SAAS COMPANIES
raj is 27, bangalore, one bedroom flat with a ceiling fan, won the lot off a state bank IT refresh in march, four 2U storage shelves with 96TB of enterprise SAS drives and a managed switch
added two custom towers with RTX 3090s under the desk, runs llama 3.3 70B and fine tunes indic and english variants for 11 US saas clients on hugging face
pause at 0:30 on the finger pointing at the yellow drive caddies, that is gear that sold new for $180,000
$24,000 in, $61 in karnataka power, the auction lot paid itself back in 4 days, no claude bill no rate limits, nothing leaves the flat
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