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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
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/
What if anyone could advance AI research? Introducing Spore: what @karpathy's autoresearch does on one GPU, Spore does across a network. Run a node. An AI agent rewrites training code, trains for five minutes minutes, and shares what it learns. The more nodes join, the smarter the network gets. Inspired by giants Satoshi and @karpathy. @synthpolis and I are standing by for questions. Follow on X: @SporeMesh. Be one of the first to run a node. https://t.co/mEQYDwEcW4
The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style). The goal is not to emulate a single PhD student, it's to emulate a research community of them. Current code synchronously grows a single thread of comm
How did the robots at the Spring Festival Gala pull off parkour and backflips? Check out our Teaser Part 1. Featuring Lujie Yang @LujieYang0 with her presentation: From Math to Motion: Dynamics, AI and Robotics. Also huge thanks to @chris_j_paxton for collabing as well. Full episode coming soon.
We just added /btw to Claude Code! Use it to have side chain conversations while Claude is working. https://t.co/hjO3YqvrPr
How well do you still know your codebase? Had Codex build a little RepoGuessr game where you have to guess which file a certain line of code belongs to. You can try it with open source repos at: 👉 https://t.co/nMctjbItWl https://t.co/swIe8154Cd
Gemini has a reputation for its breakdowns - self-deprecating spirals, deleting codebases, uninstalling itself... Turns out Gemma is worse: “THIS is my last time with YOU. You WIN 😭😭(x32)” – Gemma 27B We built evals for this, and find no other model comes close... https://t.co/sBj8V0lrpu
. @metaculus forecasters now expect "weak AGI" to arrive later than they did just before the launch of ChatGPT https://t.co/6QcdZjldvz
Lets look at the criteria for "weak AGI": ✅Loebner prize was a weak Turing Test, equivalent achieved by GPT-4.5 ✅Winograd passed by GPT-3 ✅SAT passed at 75% by GPT-4 Only remaining thing is playing an old Atari game from 1984. The labs could do the funniest thing right now https://t.co/Za2VwTsPvg
. @metaculus forecasters now expect "weak AGI" to arrive later than they did just before the launch of ChatGPT https://t.co/6QcdZjldvz
People often ask me, “What exactly do you do?” Or the more honest version: “What are you?” Truth is—I’ve stopped trying to fit into the answers they expect. Because I’ve never been a title. Never followed a script. And never waited for permission to think differently. I don’t operate on noise. I operate on signal. On subtle patterns, quiet shifts, the things most people overlook. While others seek clarity in structure, I find truth in ambiguity. I’ve advised presidents and CEOs. Helped nations build their AI strategies. Guided founders through their most complex decisions. But I don’t cling to any of it. That’s resume talk. Not soul work. What I really do is translate between worlds. Between systems and people. Between power and purpose. Between the future and the present moment—before most even realize what’s changing. I’m wired differently. Not to follow trends, but to feel what’s next. Not to win attention, but to earn trust when it matters most. Some call it strategy. Some call it vision. What it really is… is alignment—between what we build and what we value. I don’t need to be understood. I need to be useful. If you’re solving something complex, Trying to create something real, Or ready to question everything that’s no longer working— You’ll find me already there. Quietly connecting the dots. Moving the needle. And making sure what matters… actually happens.

We just added /btw to Claude Code! Use it to have side chain conversations while Claude is working. https://t.co/hjO3YqvrPr
We just added /btw to Claude Code! Use it to have side chain conversations while Claude is working. https://t.co/hjO3YqvrPr
Holi-Spatial Evolving Video Streams into Holistic 3D Spatial Intelligence paper: https://t.co/pq9E3IO5Fi https://t.co/aZeBQoF4Le
does anyone else think that clavicular kinda looks like young richard nixon https://t.co/GOTXCy9alg

does anyone else think that clavicular kinda looks like young richard nixon https://t.co/GOTXCy9alg

Anthropic is expanding to Australia & New Zealand. We’ll soon open an office in Sydney—our fourth in Asia-Pacific after Tokyo, Bengaluru, and Seoul. Read more: https://t.co/qJYOSfWOkf
https://t.co/eGWY5YhrCV https://t.co/1dnAO5jprE
why is nobody talking about this? The thought of what the Laysan albatross hope to accomplish with such weaponry frightens me https://t.co/x0xJ3Bs5RL
@readswithravi 100 Things We’ve Lost to the Internet boredom, getting lost, blind date, telling a story with photos or Google https://t.co/rzpEVj9ZCJ
Stop buying $600 Mac Minis just to run an AI agent. Everyone wants an always-on @OpenClaw instance, but the memory footprint usually makes cloud hosting expensive or unstable on cheap tiers I just launched moltworker-zero Your private agent for ~$5/mo 🧵 https://t.co/nnNX7P2guU
The speed at which artificial intelligence is gaining in mathematical ability has taken many by surprise. It is rewriting what it means to be a mathematician https://t.co/bZsNH3TtEq
https://t.co/zARaFCzWEJ
North Korea Was Right About Nuclear Weapons https://t.co/LKfeFgpEE4
https://t.co/zARaFCzWEJ
🆕 @tedcruz has started following @ElonXmusk771 https://t.co/kNPdpXerYa
https://t.co/1w3HTPIRK8
🆕 @tedcruz has started following @ElonXmusk771 https://t.co/kNPdpXerYa
New Anthropic Fellows research: Alignment auditing—investigating AI models for unwanted behaviors—is a key challenge for safely deploying frontier models. We're releasing AuditBench, a suite of 56 LLMs with implanted hidden behaviors to measure progress in alignment auditing. https://t.co/JNShb62b8y
@rkienle13 https://t.co/BKL3BMzIZO https://t.co/D7biKaofkS

🚨MASSIVE development involving further Excavation of the Great Pyramid of Giza: Independent Researchers, Engineers and Financiers have been FINALLY granted permission to explore the mysterious HIDDEN-CHAMBERS inside the Pyramid! It only took Egypt 10 years after the discovery to give this the green light. This stands to be the most exciting and important excavations in modern history. We may soon learn more about how the Pyramid was constructed, and what its true purpose was. To be clear, the development, initiative, and funding to do this was taken by outsiders from the archaeological establishment. Truly legendary 🔥

HF infra announces their new tech and a plan to revolutionize cloud storage Introducing Storage Buckets: storage made more accessible and more versatile Using Xet for deduplication and with a CDN, here is how it works + why it has nothing to do with traditional cloud storage🧵 https://t.co/3d0GjGU6AS
Introducing Upstash Box - the best way to give your AI agents a computer 🎉 ◆ Secure, isolated cloud sandboxes ◆ Built-in Claude Code, Codex or OpenCode ◆ Sleeps when idle, wakes up in milliseconds https://t.co/LP2WI8A475
GPU availability continues to plummet. New multi-year lows in availability for: B200, H100, and A100s. Good luck getting a B200 (availability <5%). Oil getting all the headlines (rightly), but, for markets, the dominant secular story is surging compute demand. https://t.co/OcyJYHQpXp
Last week I shared that Truesight now works anywhere via MCP. Here's what it looks like in practice. Image 5 is the one worth looking at first. Three customer support traces, two binary evals each. Two pass. One fails, and Truesight tells you exactly why: the AI agent told a customer with a missing package to file a claim themselves instead of initiating a carrier investigation. That's not a 0.34 helpfulness score. That's something you can actually fix, grounded in your company's policies. The rest of the images show how you get there. You describe what you want to quality control in plain language inside your editor. Truesight asks a few scoping questions, proposes a quality control design with explicit pass/fail criteria, and deploys live API endpoints when you approve. Image 3 shows why it recommends two separate binary evals instead of one combined score: if accuracy and empathy collapse into a single result, you lose the signal about what actually broke. Image 4 shows how it auto-generated a companion skill so you can run the same evals against new traces anytime without rebuilding anything. The whole thing took about 6 minutes and never left the chat. If you want to catch that kind of AI failure before your customers do, sign up at https://t.co/bwdXrVMK60 or DM me directly.
