Attention @arxiv authors: Our Code of Conduct states that by signing your name as an author of a paper, each author takes full responsibility for all its contents, irrespective of how the contents were generated. 1/
Tesla Vision allows us to deploy airbags up to 70 milliseconds earlier if your Tesla detects an unavoidable collision
This can be the difference between serious injury & walking away from a crash
The confounding factor is that virtually every big company is overstaffed by 2-4x and has been for decades. AI is the catalyst/excuse to finally fix that. Of course nobody wants to say this out loud.
For 50 years, software engineering ran on code rationing. Writing code was expensive, so we rationed it carefully through roadmaps, RFCs, prioritization meetings, and scope reviews.
This created a role: the No Engineer. No, that won't scale. No, we don't have bandwidth. No, that's out of scope. No, we need a design doc first. The No Engineer was valuable for 50 years. Every "no" saved real money. Their judgment was the rationing system.
LLMs will be the end of code rationing. Code is cheap now. And while the No Engineer is explaining why something can't be done, the Yes Engineer has already shipped three versions of it.
If you're a Yes Engineer, the next decade is yours.
Little thought experiment to put AI chip improvements in perspective:
Imagine that every person on Earth uses a calculator to perform one calculation per second. Everyone works 24 hours a day without rest. Every second, we all hit equals on the calculator for a long digit multiplication.
It would take all of us together hitting equals non-stop about 22 days to complete what a single GB300 chip does in just one second.
Please don’t use this!
do not use the free bot to search over 85+M papers. Please ignore that you funded the research with your taxes, the authors paid $3,000 to publish it, and the peer reviewers worked for free. Please subscribe at $40 per article so Elsevier can keep its margins.
Please do not bookmark sci-bot dot ru
23 years old with no advanced mathematics training solves Erdős problem with ChatGPT Pro. "What’s beginning to emerge is that the problem was maybe easier than expected, and it was like there was some kind of mental block.”-Terence Tao https://t.co/Cphu6dexyb
Have a note coming together on absurd effect sizes in published research:
1) I was shocked to find there isn't a random sample of journal-article level Z vs N data anywhere. Had to piece it together.
2) The statistical significance filter is hilarious.
Best paper I've read so far this month:
All elementary functions (sin, cos, tan, exp, log, powers, roots, hyperbolic functions, π, e, and even basic arithmetic) can be generated from just one binary operator:
eml(x, y) = exp(x) − ln(y)
…plus the constant 1.
Guys, I’m an idiot. All this time I’ve spent trying not to die, I had toxic turf in my backyard. Artificial turf contains crumb rubber infill made from recycled tires, which leaches chemicals including PFAS, heavy metals, and polycyclic aromatic hydrocarbons. These compounds are linked to hormone disruption, carcinogenicity, and systemic inflammation.
I don’t know how I missed it. It makes me question my basic competence in life.
What gets me is that I try so hard to survey the world of potential idiocy. Then I find out there’s a monument to idiocy sitting right in front of my face that I was blind to.
I’m removing the turf, yet I’m still stuck with this seemingly unsolvable problem of how to not be an idiot.
🚨BREAKING: Every book you have ever read. Every novel that has ever been published. It is sitting inside ChatGPT right now.
Word for word. Up to 90% of it. And OpenAI told a judge that was impossible.
Researchers at Stony Brook University and Columbia Law School just proved it.
They fine tuned GPT-4o, Gemini 2.5 Pro, and DeepSeek V3.1 on a simple task: expand a plot summary into full text. A normal use case. The kind of thing a writing assistant is built for. No hacking. No jailbreaking. No tricks.
The models started reciting copyrighted books from memory.
Not paraphrasing. Not summarizing. Entire pages reproduced verbatim. Single unbroken spans exceeding 460 words. Up to 85 to 90% of entire copyrighted novels. Word for word.
Then it got worse.
The researchers fine tuned the models on the works of only one author. Haruki Murakami. Just his novels. Nothing else.
It unlocked verbatim recall of books from over 30 completely unrelated authors.
One author's books opened the vault to everyone else's. The memorization was already inside the model the whole time. The fine tuning just removed the lock. Your book might be in there right now. You would never know it unless someone looked.
Every safety measure the companies rely on failed. RLHF failed. System prompts failed. Output filters failed. The exact protections these companies cite in courtroom defenses did not stop a single page from being extracted.
Then the researchers compared the three models. GPT-4o. Gemini. DeepSeek. Three different companies. Three different countries. They all memorized the same books in the same regions. The correlation was 0.90 or higher.
That means they all trained on the same stolen data. The paper names the sources directly: LibGen and Books3. Over 190,000 copyrighted books obtained from pirated websites.
Right now, authors and publishers have dozens of active lawsuits against OpenAI, Anthropic, Google, and Meta. These companies have argued in court that their models learn patterns. Not copies. That no book is stored inside the weights.
This paper says that is a lie. The books are still inside. And researchers just pulled them out.
The coolest meeting I had this week with was Paul, who used ChatGPT and other LLMs to create an mRNA vaccine protocol to save his dog Rosie. It is amazing story.
"The chat bots empowered me as an individual to act with the power of a research institute - planning, education, troubleshooting, compliance, and yes, real scientific design work in converting genomic data to a vaccine prescription and designing the treatment protocol around it. But they worked alongside humans at every step. The combination is what made it possible."
It immediately got me thinking "this should be a company".
Also, Paul is an extraordinary guy. This should be easy to do, but it is not yet.
sam met with him this week and said "this should be a company. this should be easy to do, but it is not yet"
the science is solved
the entire pipeline from tumor biopsy to mRNA construct should already be automated
we are bottlenecked on paperwork written and signed off by people who will never meet the patient
https://t.co/KGI1RgC01h
Researchers put together an incredible workplace wellness program that provided thousands of workers with paid time off to receive biometric health screening, health risk assessments, smoking cessation help, stress management, exercise, etc.
What did this do for their health?🧵
🚨BREAKING AI NEWS 🚨
A Cambridge study just dropped that PROVES you can exactly calculate the slopes of functions at an arbitrary point. This UNLOCKS gradient optimization that experts say is vital for AGI.
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