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paper: https://t.co/wcY2tXIbLr
A Single Neuron Is Sufficient to Bypass Safety Alignment in Large Language Models https://t.co/f31tYB9wfl
paper: https://t.co/NfgU5VARMl
Elon Musk doing Elon Musk things in Beijing ๐ https://t.co/vR5EpIDu6U
Huge news for #legaltech today, as @AnthropicAI goes all in on legal, releasing 20+ connectors to legal tech products and 12 practice area plugins, not to mention an explicit commitment to addressing access to justice. https://t.co/RLPpM5s9rB
this week @huggingface crossed 1M datasets ๐ every open model you love was built on top of them next objective: more open coding session traces on Hub to push coding models even further ๐ค help push the open frontier by uploading your traces! https://t.co/srbDG9t5EQ
I'm back in Singapore and will be speaking at @aiDotEngineer this Sunday. DM me if you want to hang out at the conference this weekend. https://t.co/e8iRsTQChY
Voice Cloning is now live via the xAI API! Create a custom voice in less than 2 minutes or select from our library of 80+ voices across 28 languages to personalize your voice agents, audiobooks, video game characters, and more. https://t.co/EjxjXssQtd https://t.co/iR8AW2UOgo
The real AI divide is no longer technology. It is the gap between organizations that can adapt quickly and those still operating with legacy leadership structures and slow decision-making. AI is accelerating faster than most companies are evolving. That may become the defining competitive advantage of this decade. https://t.co/u9J9dHJfas @IMD_Bschool
Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks We (@SophontAI) recently released our medical benchmarking research on arXiv. "We introduce Medmarks, a fully open-source evaluation suite with 30 benchmarks spanning question answering, information extraction, medical calculations, and open-ended clinical reasoning. We perform a systematic evaluation of 61 models across 71 configurations using verifiable metrics and LLM-as-a-Judge. Our results show that frontier reasoning models (Gemini 3 Pro Preview, GPT-5.1, & GPT-5.2) achieve the highest performance across both benchmarks, most frontier proprietary models are significantly more token efficient than open-weight alternatives, medically fine-tuned models outperform their generalist counterparts, and that models are susceptible to answer-order bias"
website: https://t.co/NkYi4t5byd code: https://t.co/WePFk9gZA2 abs: https://t.co/VzFjd5HMvF
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 AI 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
My first PR @Teknium ! This allows for more seamless handoffs for HITL camofox VNC. https://t.co/HsTI8zEKLM
ใๆก็จๆ ๅ ฑใSakana AIใงใPublic Sector Specialistใใๅ้๐ https://t.co/SdtswiRY8A Sakana AIใฎๆๅ ็ซฏๆ่กใๅฎๅ ฌๅบใจ้ฃๆบใ็คพไผๅฎ่ฃ ใใฆใใใใใฎ ใใญใฅใกใณใใผใทใงใณๆฆ็ฅใฎ็ซๆกใปๅฎ่กใๆ ใฃใฆใใใ ใใพใใ ๐ ใใฎใใใชใ็ต้จใใๆใกใฎๆนใๅ้ ใปๆฟๅบๆฉ้ขใงใฎไบ็ฎ่ฆๆฑใปๆฟ็ญ็ซๆกใใญใฅใกใณใไฝๆ็ต้จ ใปๆฐ้ไผๆฅญใงใฎๆฟๅบๅใ็ ็ฉถ้็บๆๆกๆธใฎไฝๆใปๆกๆ็ต้จ ใป็ๆAIใธใฎๅผทใ้ขๅฟใจๆ ็ฑ ้ฒ่กใปใคใณใใชใธใงใณในใใฏใใใจใใใๆฅๆฌใฎๅ ฌๅ ฑๅ้ใฎๅน ๅบใใจใณใทในใใ ใซๆๅ ็ซฏๆ่กใใใฃใฆ่ฒข็ฎใใใใจใใๆนใใใฒใๅฟๅใใ ใใ๐
ใๆก็จๆ ๅ ฑใSakana AIใงใPublic Sector Specialistใใๅ้๐ https://t.co/SdtswiRY8A Sakana AIใฎๆๅ ็ซฏๆ่กใๅฎๅ ฌๅบใจ้ฃๆบใ็คพไผๅฎ่ฃ ใใฆใใใใใฎ ใใญใฅใกใณใใผใทใงใณๆฆ็ฅใฎ็ซๆกใปๅฎ่กใๆ ใฃใฆใใใ ใใพใใ ๐ ใใฎใใใชใ็ต้จใใๆใกใฎๆนใๅ้ ใปๆฟๅบๆฉ้ขใงใฎไบ็ฎ่ฆๆฑใปๆฟ็ญ็ซๆกใใญใฅใกใณใไฝๆ็ต้จ ใปๆฐ้ไผๆฅญใงใฎๆฟๅบๅใ็ ็ฉถ้็บๆๆกๆธใฎไฝๆใปๆกๆ็ต้จ ใป็ๆAIใธใฎๅผทใ้ขๅฟใจๆ ็ฑ ้ฒ่กใปใคใณใใชใธใงใณในใใฏใใใจใใใๆฅๆฌใฎๅ ฌๅ ฑๅ้ใฎๅน ๅบใใจใณใทในใใ ใซๆๅ ็ซฏๆ่กใใใฃใฆ่ฒข็ฎใใใใจใใๆนใใใฒใๅฟๅใใ ใใ๐
@waltertayannlee Is this the issue you had? https://t.co/oDbaRNFdEa
@voooooogel @abrakjamson Hey voooogel long time no see https://t.co/mv8k7mO7HJ
Also Iโm beyond excited for @aiDotEngineer , amazing amazing lineup! Mostly excited to hear my friends speak๐ฅต @louiedooey is giving a workshop on @ManusAI @ivanleomk on @GoogleAIStudio @PhilHedayatnia is going to drop some mad insights on design @AirfoilStudio @rachpradhan is going to blow everyoneโs mind Amazing job @SherryYanJiang @agrimsingh @brianchew @unprofeshme I canโt wait to see how it goes ๐
Elon Musk with NVIDIA CEO Jensen Huang, Apple CEO Tim Cook, President Trump, Chinese President Xi Jinping, and members of the U.S. delegation in Beijing. https://t.co/sooA1y9yl1
New paper in Nature. The more a government controls its domestic media, the more it dominates AI training data, the more pro-regime outputs we get from AI. By scraping the open web, LLMs are unwittingly laundering state-coordinated narratives into seemingly objective answers. https://t.co/msncoexOoO
Singapore here we go ๐ฅ https://t.co/0qx2W6hfe4
Singapore here we go ๐ฅ https://t.co/0qx2W6hfe4
my entire Hermes Agent setup is controlled from one folder on a VPS I can manage it from my laptop or phone in under 10 seconds, spin up isolated agents per project, and never lose context here's the full setup: > bash command "ssh hermes" auto-connects to the VPS > session pinned in CMUX terminal for instant access > Claude Code session inside the ssh connection with full remote access > everything runs from a control station folder folder structure: vps-agents/ โโโ README .md overview + how to use it โโโ CLAUDE .md auto-loaded project context for Claude Code โโโ agents/hermes-main/ โ โโโ inventory .md IP, hostname, where it runs, who owns it โ โโโ docker. md draft docker-compose + first-boot checklist โ โโโ runbook. md "it broke, what now" โ 7 common scenarios โ โโโ env-map. md table of which keys live where (no values) โ โโโ backup. md GitHub backup flow + restore steps โโโ shared/ โโโ security. md VPS-wide hardening checklist โโโ commands. md Docker / Hermes / UFW cheat sheet from this session I can spin up new docker-isolated agents per area and each one can have sub-profiles the whole stack is documented, backed up to GitHub, and accessible from anywhere
Hermes Agent changed how I work it's the highest leverage agent framework you can set up right now what makes it different: > it routes tasks to the right model based on complexity and cost > learns your voice and preferences over time > handles context switching without losin
Working on a โHooded Ouroborosโ collection of Herm skins. Work your Hermes with style! Kaio has already laid amazing foundational work, just trying to open up the spectrum. https://t.co/EYhVR3CSET
Jack Dorsey on how every company can now be a mini-AGI: https://t.co/eAhu9dNwCG
Jack Dorsey on how every company can now be a mini-AGI: https://t.co/eAhu9dNwCG
See you in Singapore. BTW, I'm starting to look more and more like our logo. https://t.co/oMSebDUNPk
Red light can literally reduce fat in the belly / waist area via spot reduction, some fascinating research shows. (๐งต1/8)
Will putting red light on your balls triple your testosterone? The science might surprise you. (๐งต1/8)
@MSaintjour @nikitabier See https://t.co/kiuZ7QXLzb and https://t.co/5zCgGYmZcO for what you are up against. My reach is down too. We are all competing to get on peopleโs feeds.
@TriCast_ Yes sir! Built https://t.co/kiuZ7QXLzb best AI news from X
@maticrobots Cleaningโฆ https://t.co/OSGBTLW7XX