TL;DR: Dropped out of MIT, moved to SF, now all in on my venture Sona8 (YC F26). Thank you to everyone who supported us. 🚀
🚨 I need your help! If you're running a transformation (e.g. sales effectiveness, AI adoption, operational excellence) or know someone who does reach out.
Hosting the MIT AI conference hack this weekend was lot of fun. Thank you to everyone who joined 🚀
Here are some KPIs (MIT Hub only):
48 pizzas
110 participants
36 donuts
1.7M lines of code
1 fire alarm interruption
Thank you to Ilias, Linn, Kai, Michael, Mandy, Jono, Fede.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
NeurIPS 2026 just desk-rejected hundreds of papers because an AI detector said they were AI-written (https://t.co/P2IDyWWOTB).
I understand why they did it. Reviewer time is scarce, and a flood of slop submissions is a real threat to peer review.
But here's where it gets tricky. The Position Paper Track requires papers be "substantially human-written," so I ran one of my own through the same detector they used. It flagged 73% as AI-written — on pretty weak evidence (see screenshots).
The funny part? It's actually closer to 99%. I only hand-edited a few sentences. But the idea, the literature review, the positioning, the data analysis ... all human. The AI wrote the text, across many rounds of back-and-forth with me.
It's like coding: most code today is generated almost entirely by AI. Do we "reject" those systems too?
To me, whether the words were typed by a human matters less than the substance behind them.
What do you think?
PS. I ran this very post through the detector too. It came back 100% AI-generated — even though it took me almost 30 minutes to write, and I think it carries my thinking and is worth reading.
#AI #PeerReview #NeurIPS #AIDetection #AcademicResearch #MachineLearning #ResearchIntegrity #AIEthics #ScholarlyPublishing #AIWriting
I’d bet that the top 10% of researchers still beat AI. But would they produce even better research using AI.
The human edge right now is in identifying what’s worth researching and connecting disciplines in ways AI wouldn’t. Research execution is becoming a commodity.
This year, the NeurIPS 2026 Position Paper Track made the decision to require that all papers be substantially human-written, with AI used for only copy-editing or similar peripheral changes to the main text!
For more details, please check our blogpost: https://t.co/wrWuMQJwrx
This year, the NeurIPS 2026 Position Paper Track made the decision to require that all papers be substantially human-written, with AI used for only copy-editing or similar peripheral changes to the main text!
For more details, please check our blogpost: https://t.co/wrWuMQJwrx
I’d bet that the top 10% of researchers still beat AI. But would they produce even better research using AI? Likely yes.
The human edge right now is in identifying what’s worth researching and connecting disciplines in ways AI wouldn’t. Research execytiom is a commodity
This year, the NeurIPS 2026 Position Paper Track made the decision to require that all papers be substantially human-written, with AI used for only copy-editing or similar peripheral changes to the main text!
For more details, please check our blogpost: https://t.co/wrWuMQJwrx
Fingers crossed to all the teams!!
Super impressed by what I saw in the hackathon at MIT couple of weeks ago.
Curious to see how the teams are doing 🚀🚀
6,500 applied. <1% got in.
Today the Hack-Nation Venture Lab welcomed Cohort 2 - 30 AI teams stepping into 3 months of intensive incubation🚀
Demo Day is in three weeks. Investor Day follows on July 31.
It was awesome to host two investing greats Bill Gurley (@bgurley) & Vince Hankes (@vhankes) @MIT for a conversation about building your career, making good decisions, and the current state of technology and investing.
Here are some lessons that stood out most:
1/ Obsessive fascination beats grit
2/ Live on the edge of your field
3/ Avoid networking, build a peer group of obsessives
4/ Be a candidate of one
5/ Don’t trade your heroes for ghosts
Day 1 = full of surprises 🚀
@jack Dorsey joined live → build what you love to use (+ win a 1:1 with him 🔥)
🤖 Piano-playing robot + playing live for pitches in SF
🥤 2,000 smoothies fueling Munich & Dresden
#Hackers in NYC, London + worldwide: what surprised you most ? 👇
Google acquired DeepMind for $500M in 2014. Its alumni have since created $23B in enterprise value.
Mistral, Isomorphic Labs, AMI — each now worth more than the original price.
Europe's Deep Tech talent flywheel is accelerating.
@dealroomco
https://t.co/THVgarRpbh
Hello from Germany, where AI is reshaping the benchmark index Dax. SAP is no longer the index’s largest company. The software giant has fallen on fears that AI could disrupt its business, while Siemens has taken the top spot, helped by the shift toward physical AI. One of the biggest winners from AI’s growing demand for energy is Siemens Energy, now the third-largest company on the Dax w/a market value of €147bn. Chipmaker Infineon ranks tenth, while utilities E.ON and RWE stand in thirteenth and nineteenth place.
Applications are open for Hack-Nation's Global AI Hackathon on April 25-26. 🚀
Would love to have you join us in our MIT hub!
👉 Apply here → https://t.co/MKqlB32GJc
Apr. 25/26 - Applications (Hub Waitlist) still open until Apr. 17!
See you soon in
Boston, MIT, Stanford, NYC, London, Munich, Paris, Dresden, Linz, Yerevan, Delhi, GIKI and online
🚨 Perplexity just quietly dropped something insane.
I’ve been testing Perplexity Computer non-stop since release…
and honestly, it feels like giving an AI agent your entire operating system.
This isn’t just chat.
It’s an agent that can think, plan, and execute workflows.
Here are 8 powerful prompts you should try right now:
1️⃣ Ultimate Tutor
Diagnoses your level, builds a roadmap, teaches step-by-step, quizzes you, and creates mini-projects.
2️⃣ Visualization Expert
Turns messy ideas into clean diagrams, systems maps, and structured flows.
3️⃣ Copy & Marketing Expert
Writes positioning, headlines, full campaigns, and even suggests A/B tests.
4️⃣ Business Strategist
Finds business opportunities and builds 90-day execution roadmaps.
5️⃣ Ultimate Vibe Coder
Acts like a senior engineer:
architecture → code → tests → debugging.
6️⃣ Health & Fitness Coach
Creates workout plans, nutrition guidance, and recovery systems based on energy + sleep.
7️⃣ Career Strategist
Analyzes roles, optimizes CV, and tracks career trajectory.
8️⃣ Chief of Staff
Runs your entire day:
priorities, time-blocking, risk alerts, and goal alignment.
This is what real AI agents look like.
Not just answers.
Actual thinking systems.
Bookmark this if you're exploring the future of AI tools