Spent 2 hours playing with Unreal 5.8 via MCP.
I don’t think people realize what just happened.
Unreal is no longer just a game engine.
It can now become a workspace for AI agents.
I can control the scene.
Move objects.
Trigger actions.
Modify the world externally.
Next step:
Connect Hermes.
Then let an agent start building an entire game from scratch.
Levels.
Lighting.
Characters.
Gameplay.
Iteration.
AI isn’t just writing code anymore.
Stay tuned. 👀
Interestingly, Google no longer has a public frontier model. They have a very good flash model, but a very good flash model can't do frontier work without a good frontier orchestrator.
I am sure this will change soon, but Gemini 3.1 Pro is very clearly lagging at this point.
A guy got tired of renting intelligence from the cloud,
so he put a 120-billion-parameter model in his closet for $0 a month.
One mini PC. The Minisforum MS-S1 MAX.
128GB of unified memory, and a trick that hands 96GB of it straight to the GPU.
Here's how it breaks:
That 96GB is the whole game. Enough to run GPT-OSS-120B fully local,
and still keep the agent and dashboard on the same box.
120 billion parameters. 56.6 tokens a second.
A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local.
Then Hermes Agent goes on top, pointed at localhost.
No API key, because there's nothing to phone home to.
It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network.
The cloud version cost $10 to $20 a day,
keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month.
The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill
he paid every morning and became a machine he owns,
humming in a closet, working for free.
I woke up today morning to the news that @OpenAI has hired @NoamShazeer away from @Google .
This is not another chess move in the AI talent war, it is closer to a check-mate.
OpenAI has not merely hired another senior AI executive.
It has hired Noam Shazeer.
To understand it's magnitude, go back to Google in early 2017.
As @StevenLevy recounts in @WIRED 's famous account of the creation of the Transformer, a small group of Google researchers (The Transformer Eight) was experimenting with a radical idea: could “self-attention” replace the recurrent neural networks then dominating language AI?
Their early Transformer model worked—but it had plateaued. It was competitive with existing systems, not revolutionary.
Then Shazeer happened to overhear the team discussing the project in a Google corridor!
He liked the idea. He disliked recurrent networks. So he joined them and rewrote the implementation largely from scratch.
He returned with the programmer’s equivalent of: “Look, it works.”
That changed everything.
According to the original paper itself, Shazeer proposed scaled dot-product attention, multi-head attention and a parameter-free positional representation—and became involved in nearly every detail of the architecture.
His colleagues described what he did as “magic”, “alchemy” and “sorcery”. One simply said: “Noam is a wizard.”
The improved system smashed previous machine-translation records while training far more efficiently. The resulting paper, 'Attention Is All You Need', created the Transformer—the “T” in GPT and the architecture underpinning almost the entire generative-AI revolution.
Shazeer later left Google in 2021 and co-founded @character_ai
Three years later, Google wanted him back so badly that it struck a reported $2.7 billion deal with Character, licensing its technology and bringing Shazeer and several colleagues into @GoogleDeepMind
Google then made him co-lead of #Gemini; he is credited with helping @Gemini close the gap with OpenAI.
Now, less than two years after Google spent that extraordinary sum to bring him back, Shazeer is leaving for OpenAI!
Google 'acqui-hired' Shazeer with the $2.7bn deal. Earlier, @Microsoft 's @inflectionAI transaction b(r)rought @Mustafasul , and then Anthropic snagged @karpathy
But Shazeer may be an even bigger catch; he is one of the people who helped create the architecture on which modern generative AI is built.
People often say AI is a battle for models, chips, data and capital. But at its sharpest edge, it is still a battle for a remarkably small number of human beings.
And that may be a clear sign yet that the AI race is increasingly being fought not just through products and research labs, but through the recruitment of the handful of individuals capable of changing the trajectory of AI itself.
https://t.co/ifKiYpB5Ao
@AIBeyondAI@anujmagazine@ArchanaMuthappa
GPT 5.6 Pro continues to mogs Fable in 3d test
working on games one shot too , for comment check quote post and also share your prompts and fable output i will tag you with 5.6 pro results
credit : @mirochill
Creator of Claude Code:
"At Anthropic, almost 100% of our engineers are running 100+ agents with self-improving loops
self-improving loops help agents become better with each run."
in a 1-hour podcast, Boris explains how they build agents loops from sratch.
Claude + loops + routines + dynamic workflows - that’s the secret.
Watch the talk, then read how to apply the same playbook to quant trading below.
New in Claude Code: Artifacts.
Interactive pages built from your session, like a PR walkthrough or a living project dashboard, shared with your team at a private link.
Available in beta on Team and Enterprise plans.
I think many people have realized what a revolutionary medical advance the Midjourney Scanner will be. It’ll also be key to my dream of creating biological digital twins with AI. The vision & contribution of @DavidSHolz to humanity will go down as one of the greatest in history!
We've added support for the Enterprise-Managed Auth extension to MCP.
Admins can centrally authorize MCP connectors for their organization, so all the tools and data users need are connected on their first login.
Google CEO, Sundar Pichai:
"If you don't learn how to orchestrate agents now, you'll spend 2027 catching up to people who started today"
In 30 minutes, he explains why the best engineers are moving from writing code to running agents
One agent researches
One writes
One tests
One reviews
One fixes
The human becomes the operator, not the bottleneck
Bookmark and watch the interview
My best friend Brandon Wirtz, a brilliant AI pioneer, died at the age of 40 from colon cancer.
The doctors missed it.
This would catch it.
I asked the first question because of Brandon.
I love @DavidSHolz who just announced this new unloading scanner and spa that could save many lives and is still giving one of the most interesting product launches I have ever been to.
I am sitting with the CEO of the company that makes the chip that both send and receives the ultrasound that will scan your body in one of these devices.
Incredible.
I was invited to sit in the front row because I covered David’s first company a long time ago.
What an entrepreneur.
Built this with taking no investors.
BREAKING 🔥: Midjourney announced its first hardware product, a full-body ultrasonic scanner.
Besides that, Midjourney is working on 4 new hardware and 4 new software projects.
Midjourney Medical 👀
What?! This mind-blowing “Midjourney Scanner” was completely unexpected from Midjourney!
@DavidSHolz just made the world a much better place by turning Star Trek-like medical scanning technology into reality! 🤯🖖
🚨 @NVIDIA just dropped LocateAnything, making object detection ~10x faster by fixing one core bottleneck:
How the model writes coordinates.
Standard AI models do visual grounding the slow way.
They predict coordinates piece by piece: Token 1, Token 2, Token 3, Token 4 etc.
LocateAnything stops treating boxes like text.
It looks at an object and predicts the complete set of coordinates at the exact same time.
Because it’s not waiting on itself to finish a "sentence," the speed gains are incredible:
→ 12.7 frames per second on a single H100
→ Dominates across dense object detection and GUI navigation
→ Outperforms much heavier 32-billion parameter models
.. and it's trained on a massive custom dataset of 138 million queries and 785 million bounding boxes.
Best part?
It's 100% free and open-source.
I added the repo link in the 🧵↓
GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result.
Paired with https://t.co/gcDaph8b2B’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery.