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Very proud to showcase our latest demo of how our Engineering World Model SKY-001 can design a complex Jaguar car with 1000s of complex parts.
In order to get us to Autonomous Manufacturing, we need to design systems that can think like a ‘AI General Engineer’: planning complex physical structures, long term sequences, and feasibility directly in the physical domain rather than approximating it through next-token prediction.
Engineering design operates in the spatial reasoning domain through hierarchical decomposition, constraint satisfaction, and the sequential construction of complex physical objects.
World models are going to be the next frontier in AI after LLMs and SKY-001 is just the beginning.
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For the first time in 10 years, a new major version of Postgres is delayed.... because AI is helping them find and fix so many bugs.
rhaas.blogspot.com/2026/10/p…
We've seen record sized breaches this past week and there has been a sharp rise in security incidents as AI is weaponized to find and exploit vulnerabilities in code.
What's less visible is the much steeper rise in how AI is being used to write more secure software and defend at every layer.
Builders have always had a fundamental advantage against attackers because they have full access to source code and control over system design.
We haven't always had the resources to fully take advantage of this asymmetry, but now with AI we do.
Everything we build can now be designed and pentested by the best security minds (models) in seconds -- for cents.
Not all teams have had the time to catch up yet, so we're not out of the woods as an industry.
But as the best teams fully modernize how they ship, AI is also enabling an era of the most trusted software ever. You don't see this in dramatized headlines yet, but it's a very good time to build.
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1 λεπτου σιγη για την κυρια Σαββια που η εννοια της με τουτα ολα που συμβαινουν εν αν θα φκει το Ακελ στην εξουσια! Ενω το 2023 εψηφισαν μαζικά Μαυρογιαννη! Ασε που καθονται μες τις ψαροταβέρνες και στηνουν κυβερνησεις μαζι με τα ΜΜΕ! Για τα προβληματα του κοσμου εννοια σας!!!
Καθηγητης
Small things I love about living in Cyprus 🇨🇾:
> Park wherever you want (the closer to the coffee shop the better)
> Starting the day early with sunrise & solitude
> Coffee shops open at 6am
> Morning swim before work
> Insanely clean sea water
> Swim with turtles & dolphins (if you’re lucky)
> Free outdoor showers by the beach
> Beautiful walkable coastal paths (15km long)
> Everything is 5-10 minutes away with the car
> Wide variety of nature (from beaches over waterfalls to snow in the mountains)
> Local neighbors bringing fresh fruits every Sunday
> Restaurants always giving you something on the house
> Workers fill up your car at the petrol station
> People are genuinely friendly & happy
> Everyone says Good morning (Kalimera)
> Even the police is polite & helpful
> No homeless people
> No aggressive people wanting to fight you (I grew up in Frankfurt, iykyk)
> Plastic straws still exist
> Cute cats everywhere
> No rainbow flags
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Anthropic Research Lead:
"99% of our engineers run swarms of 300+ self-improving agents"
"Close the loop, give the model a way to verify its own output"
In a 20-minute session, an Anthropic Team member breaks down how to build agents that improve themselves
The real setup is Claude running through loops, plan mode, and dynamic workflows
Better than most $300 agent courses
Bookmark and watch the talk
Then read the article below
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Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill
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If your WFH desk setup doesn't cost more than a used Honda Civic, you aren't serious about your pipeline.
My ergonomic chair is built from the salvaged suspension of a 2019 Tesla Model S.
My primary monitor is a converted IMAX screen I bought from a bankrupt theater in Oakland.
When I drag a cell in Google Sheets, I physically have to rotate my entire torso. I burn 400 active calories a day just searching for the Slack icon.
Stop complaining about back pain and optimize your environment.
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the most impressive thing about this isn't that some random japanese company created a mythos-level model - its *how* they did it:
-> their ai model isn't actually a model, it's an API that calls *other models* (e.g. chatgpt, claude, their own)
-> their orchestrator selects different models to do different parts of your prompt. if a cheaper model can be used they'll do that. thats how they cut costs.
-> if a task is challenging then they'll use a frontier model (e.g. claude) to design a solution, then use a cheaper model to build it.
point is - frontier ai capability is no longer solely dependent on how good the model weights are, its how MANY model instances you can get to debate and come up with an answer between themselves
more models going back and forth = better cheaper answer.
we're moving from mono-model to multi-model
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: sakana.ai/fugu 🐡
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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: sakana.ai/fugu 🐡
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The creator of Linux just publicly called out the AI hype. Word for word.
Linus Torvalds took the stage at Open Source Summit 2026 and said this:
"When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that."
He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it.
His point is something most people are too afraid to say.
AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it?
He also flagged something nobody is talking about.
AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up.
"Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue."
And his final warning was the sharpest of all.
"People who do not understand the complexity of systems will prompt systems and write processes that will fail."
The AI hype crowd is very loud right now.
Linus has been building real systems for 35 years. When he talks, engineers listen.
Full interview here:
thenewstack.io/torvalds-ai-p…
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Teach an agent a workflow once. Have it remember after every rebuild.
This tutorial shows how to deploy @nousresearch Hermes Agent with NVIDIA NemoClaw and OpenShell, connect it to Slack, Outlook, GitHub, and NVIDIA developer forums, then turn a chat correction into a reusable skill.
Private data stays behind runtime policies. Learned skills persist across deployments.
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Nvidia will now pay you to put a mini AI data center on your house
It looks like a normal AC unit in the yard.
But inside sits 16 Nvidia Blackwell GPUs and Dell servers.
A startup called Span builds them, backed by Nvidia.
They bolt onto your home and you get paid for the power and Wi-Fi.
Some estimates put that around $1,000 a month in your pocket.
That is rent money just for hosting a box outside.
Span says it deploys way faster and cheaper than a real data center.
The AI boom is literally moving into the suburbs.
Save this, the grid is getting rebuilt in real time.
