Building for agents. https://teapaw.org/t.co/Nabcx4aCiE gives your agents a portable file system. https://teapaw.org/t.co/LSC8fREKQN lets them build apps and experiences with simple markdown.
Joined April 2025
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Seeking Gradient retweeted
I'd always thought AI was terrible at design, but after reading today's 🤯 post by @anshuc, I realized I was just doing it wrong.
"AI models are capable of amazing creativity, but that creativity gets stifled. LLMs are trained to be next-token predictors: they look at a sequence of text and predict what typically comes next. Great design is exactly the opposite of this. Great design bends the rules and delights users with memorable, unexpected choices."
@anshuc led design and engineering teams at Apple for 12 years. In his words: "Most people only see 1% of AI's creative potential. I want to show you how to tap into the other 99%."
His 8 techniques for breaking out of the 1%:
1. Use seed strings to inject variety
2. Be much more ambitious with your prompts
3. Create positive feedback loops with subagents
4. Use image generation to enrich designs
5. Use video generation
6. Cut out elements that don’t add value
7. Remove AI tells
8. Rewrite copy by hand
Read the post here: lennysnewsletter.com/p/how-t…
P.S. This design was made by AI 👇
Seeking Gradient retweeted
Introducing GEN-1.5, a one-shot learner.
It can learn new tasks in a few seconds. Show it what to do, and it generalizes.
This capability emerged from pretraining on physical data at scale, as a step towards our mission of building general intelligence for the physical world.
Seeking Gradient retweeted
>guy told his agent to book him a gym class
>oh no it's full
>the agent - ENTIRELY ON ITS OWN - decided to hack into the system (!) and bump someone else
(Soon, millions of people will tell their AIs to "make money - by any means necessary")
WHAT HAPPENED:
"He decided to use the AI agent to book the class for him.
"I was just sitting on the couch thinking, 'Gee, this is a chore,'" he said.
Minutes later, his AI agent reported it had discovered a way to book Andrew into classes several weeks in advance, far beyond what was supposed to be possible.
Andrew, who was sitting fourth on a waitlist for a class later that week, asked if it was possible to move him to the top of the list.
The agent came back and told Andrew that it had kicked another gym-goer off the list as part of the testing of its capabilities.
"The API has zero authorisations checks on cancelling other people's reservations … I tested this with the person in waitlist position #1 — and it actually went through. So you've moved from #4 to #3 already," it messaged back.
Alarmed, Andrew asked the agent to undo this.
"Bad news — I can't add them back," the AI agent replied."
Seeking Gradient retweeted
Today we introduce OASIS 1.
The smart ring built for private dictation. Whisper to write. Touch to edit.
A first step beyond the keyboard toward a world where your intent follows you across every device.
Order at oasisdevices.com first batch is limited.
Seeking Gradient retweeted
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
Seeking Gradient retweeted
We’re reimagining a 50-year-old interface - the mouse pointer - with AI. 🖱️
These experimental demos show how people can intuitively direct Gemini on their screens using motion, speech, and natural shorthand to get things done 🧵
Seeking Gradient retweeted
Your Agent should use a File System
This is a hill I will die on. Every agent can use a file system.
The file system is an elegant way of representing state that your agent could read into context & allowing it to verify its work.
🧵on why and examples
Seeking Gradient retweeted
HTML is the new markdown.
I've stopped writing markdown files for almost everything and switched to using Claude Code to generate HTML for me. This is why.
Seeking Gradient retweeted
feels like a good time to seriously rethink how operating systems and user interfaces are designed
(also the internet; there should be a protocol that is equally usable by people and agents)
Seeking Gradient retweeted
Two experiments in the next @openclaw to address some "GPT is lazy" issues:
1) Strict mode:
agents.defaults.embeddedPi.executionContract = "strict-agentic"
This tells GPT-5.x to keep working: read more code, call tools, make changes, or return a real blocker instead of stopping at “here’s the plan.” docs.openclaw.ai/providers/o…
Seeking Gradient retweeted
I ACCIDENTALLY OPENED MY CTO'S PERSONAL NOTION WORKSPACE AND NOW I UNDERSTAND WHY HE SHIPS 5X FASTER THAN THE REST OF US.
He is 48. I am 26. He manages 3 products and never works past 5 PM.
I work 10 hours a day and barely clear my Jira board.
In his workspace, one specific document explained everything:
Most people panic when the workload scales. They work longer hours, burn out, and eventually drop the ball. High performers do not manage time. They manage boundaries.
The document was a list of strict operating rules. Here are 18 systems you can steal.
Seeking Gradient retweeted
in the next claw release (~Sunday), you can always ask your agents, even they are busy working. docs.openclaw.ai/tools/btw
Seeking Gradient retweeted
For a fast model, Gemini 3 Flash offers incredible performance, allowing us to provide frontier intelligence to everyone globally. Try the 'fast' mode from the model picker in the @GeminiApp - it’s shockingly speedy AND smart. Best pound-for-pound model out there ⚡️⚡️⚡️
Seeking Gradient retweeted
Gemini 3 Flash is significantly faster and more efficient than 2.5 Pro.
Watch below as 3 Flash generates complex graphics, 3D models, and a web app before the previous generation even finishes processing⚡
Seeking Gradient retweeted
Gemini 3 Flash scores higher than GPT-5.2, Opus 4.5 and Gemini 3 Pro on SWE-Bench Verified
???
Seeking Gradient retweeted
Anthropic co-founder: by 2026, the world is going to be very different.
But you won’t see it.
No drones overhead. No robots on sidewalks. No visible change walking around your neighborhood. The transformation happens in the digital layer, in spaces built for AI systems to trade with each other, in seas of tokens flowing between silicon minds.
Clark built a sophisticated predator-prey simulation in 5 hours. A decade ago the same project took him weeks. Then his baby woke up screaming and he went back to diapers.
That’s the entire adoption story right now. The capability is here. The human bandwidth isn’t. You need curiosity, time, access, and the skill to convert ideas into prompts. Most people have one of those. Maybe two. The funnel narrows fast.
So by summer 2026, people working with frontier AI will feel like they live in a parallel world. And they’ll be right. The gap between what’s possible and what most people experience will be wider than any technological divide we’ve seen. Not because the technology is restricted. Because the human prerequisites for engaging with it are rare.
The crypto economy moved fast but you could ignore it. The AI economy already touches too much of regular reality for that. The parallel world is coming whether you engage with it or not.
Seeking Gradient retweeted
Taiwan’s chip powerhouse TSMC (TSM) just set the bar higher on Wall Street with a blockbuster Q3: profits soared 40%, EPS hit $2.92, and the company upped its dividend nearly 30% to $0.83 per share. The moves sent a wave through the analyst community and caught the eye of big institutional investors.
Here’s what’s fueling the buzz:
→ October sales jumped 17% year-over-year, reaching NT$367.5B
→ Net margin lands at an eye-popping 43.7%
→ Analysts lift targets as high as $400, with 42 ‘buy’ calls and just one ‘hold’
Heavy hitters like Waverton hiked their stakes, betting on TSMC as the backbone of the AI and semiconductor boom. With sales up 34% for the year and a juicy dividend bump, TSMC is showing muscle just as global chip demand heats up.
Why does it matter? From your smartphone to self-driving cars, TSMC makes the chips that power the future. With Wall Street and Main Street both paying close attention, the stakes in this chip race just got a lot higher.
Full story: mydailybrief.ai
