@clairlemon For the same reason you’d still have an assistant. Not because the work is complex, often the opposite. Someone still has to handle the cognitive load of instructing, supervising, and sanity-checking the AI so you don’t have to babysit it. You can’t fully delegate tasks to AI yet, it’s a tool, not a “coworker”. Research even found frontier models like Claude only succeed at real digital work about 3% of the time when unassisted. https://t.co/Ut4hpvTU3C

@Dr_Gingerballs AI(AI(AI(x))) ≈ 🎰🦜

Today we're launching Tinfoil Containers! Deploy your backend, agent orchestration, or training pipeline into a secure enclave on Tinfoil to build end-to-end verifiably private AI services. We built Tinfoil Private Inference so developers could use AI models running in the cloud with verifiable privacy. Tinfoil Containers extends the same cryptographic security to the rest of your application.

Today we're launching Tinfoil Containers! Deploy your backend, agent orchestration, or training pipeline into a secure enclave on Tinfoil to build end-to-end verifiably private AI services. We built Tinfoil Private Inference so developers could use AI models running in the cloud with verifiable privacy. Tinfoil Containers extends the same cryptographic security to the rest of your application.

Introducing Elements of AI Agents. Our first text-based AI course. If you are looking for an entry point to building AI Agents, check it out now. FREE to enroll. Audio available so you can listen on the go. https://t.co/oNgeCmapaJ

I made a @huggingface public repo too :) https://t.co/pIPK8XvDCN

I made a @huggingface public repo too :) https://t.co/pIPK8XvDCN

@DeeDeeRex @nypost who is the we in this tweet

@sawyerhood Make it make sense, Anthropic: • Claude writes a PR → bills you for the “solution” • Sixty seconds later, Claude sees its own code on GitHub → bills you again to review its rookie mistakes Next: pizza arrives cold → extra charge to “inspect”? Classic double-dip. Chef kiss

@signulll interesting.

@bcherny cool

@DamiDina @NotebookLM @ylecun I didn't even prompt it. I prompted the report by simply asking Levangie Labs "please create me a lengthy, detailed, report about World Models." That was the extent of my prompting.

We’re thrilled to open-source LabClaw — the Skill Operating Layer for LabOS by Stanford-Princeton Team One command turns any OpenClaw agent into a full AI Co-Scientist. Demo: https://t.co/TgGtKO2lxQ Dragon Shrimp Army reporting for duty 🦞🔬 #AIforScience #OpenClaw https://t.co/lIpWVbuLO2

Turns OpenClaw into a full AI co-scientist. The claw is going far!

played around with this for 10 minutes and it instantly unlocked a massive side project that I've been putting off for months. I can't believe how fast model weights are uploading

@arjunkmrm hahaha did u mean luckin coffee?

@yacineMTB android users are always second-class to everyone unfortunately :(

Crazy that Apple is leaning into all the things their biggest “competitor” in XR refuses to do. This is still banned on their store and that policy is why PlutoVR died, btw

Crow integrates with your app to let your users interact with the product through chat. In this demo, we put Crow (YC W26) on a fake meeting transcription app called Crownola. Crownola is the transcription app. Crow is the layer that lets Crownola’s users chat with it in plain English and get answers Imagine texting a meeting transcription app: “What did we decide in yesterday’s product meeting?” “Send me every customer call where pricing came up” Now imagine texting your CRM: “Show me every deal closing this month with no champion identified, pull the last 5 notes for each account, and draft follow-up emails for the account owners” Instead of logging onto the app, clicking through dashboards, and finding what they want to do, users EXPECT to just chat -> get things done Because Crow is connected to your app’s native functionality, it can return the right information from the user’s data and take actions on their behalf If you want to let your users text your app, DM me

@ivanleomk @pydantic come build this with us in a few days. ​Register to join live or get the recording afterwards: https://t.co/Y8VDCZF3oV

neighbors recently had a baby that cries a lot, which, if you think about it, means i should get a few months of parental leave

According to my Partiful, Pi Day in SF is like St. Patrick’s Day in Boston.

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

LabClaw + OpenClaw + native LabOS = the missing bridge between AI reasoning and physical lab execution. If you’re building the future, Star & Fork → GitHub: https://t.co/xM7G7rU6C5 Project: https://t.co/8MyzsWRP3h Paper: https://t.co/YxREqOUubC #LabClaw #Claw #LabOS #OpenClaw #AIforScience