BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying.
Turns out, AI isn't making us more productive. It's making us cognitively bankrupt.
Here's what 4 months of data revealed:
(hint: we've been measuring productivity all wrong)
A horrible @airindia crash today being the first 787 Dreamliner ever to have a fatal incident
Both the 787 and the 737 Max are part of the new "problem generation" of Boeing aircraft starting around the mid-2000s
Like the 737 Max, the Dreamliner had lots of manufacturing/safety issues but at least until today it never crashed
We have to wait for the investigation to make any conclusions why though
This crash puts the 787 Dreamliner near the bottom of airplane models in fatality odds though, positioning it next to the ATR 42/72, the plane that fell from the sky in Brazil last year
I personally solely fly Airbus planes:
- Airbus A318/A319/A320/A321 Classic or Neo
- Airbus A350
- Airbus A340
- Airbus A380
Or Boeing models but ONLY from before the mid-2000s:
- Boeing 737NG
- Boeing 747-400
- Boeing 777
- Boeing 717
All of these have great safety records
The 737 Max and 787 Dreamliner do not
I track all of these on my sites ✈️ Airline List dot com
P.S. I am NOT suicidal
Manus just blessed me AGAIN
They saw how quickly we ran through the first 100 community codes… so they gave me 500 more….
If you missed out on the first round, here’s your chance:
1. Retweet this post
2. Follow
3. DM me “MANUS”
If you got the access code in the first round, reply with what you cooked up so far!
Manus is absolutely next level. I literally maxed out the tokens yesterday.
Here's my attempt at visualizing the training pipeline for DeepSeek-R1(-Zero) and the distillation to smaller models.
Note they retrain DeepSeek-V3-Base with the new 800k curated data instead of continuing to finetune the checkpoint from the first round of cold-start SFT + RL
New post re: Devin (the AI SWE). We couldn't find many reviews of people using it for real tasks, so we went MKBHD mode and put Devin through its paces.
We documented our findings here. Would love to know if others have had a different experience.
https://t.co/DDqzoAXKkl
Our New York endpoint is live and running smoothly! 🗽
Enjoy using our speeds and performance anywhere in the world with new locations still on the way!
Join us today at https://t.co/tBTHknJMno !
Gemini’s Stream Realtime has unlocked so many incredible use cases.
You now have an AI assistant that can see your screen and chat with you in real-time to learn, work, and research faster.
7 powerful ideas:
Browser Use: a new tool to connect AI agents to browsers 🕵️🌐 Automated browsing, scraping and interacting with pages using LLM models.
Demo: "Read my CV & find ML jobs, save them to a file, and then start applying for them in new tabs, if you need help, ask me." 📑🔎👆
Prepare for the future: how to?
Because I am repeatedly asked how best to prepare for the future, I would like to point out once again that there are two main things to do.
1) Learn how to deal with AI, i.e. how to use it. And especially agents. So that you can use AI in the near future to carry out tasks in your own interest.
2) and at least as important: profit from AI. And the best way to do this is to invest in broadly diversified index funds (ETFs). The easiest way is to invest either in an S&P 500 or even more broadly in a global ETF. I have (against my better judgment) built up even more of a dividend portfolio so that I am prepared for any inflation and my dividend portfolios regularly compensate for inflation (e.g. price increases, food prices, etc.). The return or total return easily manages to beat inflation, so that I get out with a net annual increase (FTSE-Allworld approx. 9% p.a.)
Here is an example of my allocation.
serious question
what should a CS student (or any knowledge worker for that matter) do at this point?
even if the model is $2000/month, it’s still cheaper than a graduate employee
what’s the plan now?