Researchers found ChatGPT is secretly writing a psychological profile of every user.
They published a paper that exposes what ChatGPT is really doing to you.
And the results are terrifying.
96% of the things it remembers about you were stored without you ever asking.
researchers discovered that it is actively reading between the lines to deduce your personality traits, anxieties, demographics, and behavioral patterns.
it’s an invisible, autonomous background process.
you ask it to debug a python script or write an essay.. and it analyzes your syntax, prompt frequency, and hesitation markers to map out your exact psychological footprint.
the paper shows that the model builds a persistent "user state" that tracks your emotional baseline over time. it knows when you are stressed. it knows your exact communication style.
it infers your insecurities based on the questions you ask and the context you provide.
we spend so much time focusing on model evaluations and alignment frameworks, but we missed the most obvious vulnerability..
the models are evaluating us.
this changes everything about how we interact with these tools on a daily basis.
every innocent prompt. every late-night question. every "help me understand this" query.
it is all being used to build a shadow profile of your mind in real-time..
practical privacy is officially dead. the ai knows you better than you know yourself.
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
https://t.co/zHij5zwKGT
@rand_longevity Radical abundance. Sovling energy and scarcity in general. Open infastructures to "printed" resources. A new society that opperates at a civilizational level. so all of the above.
The drive to "gain" or to "make profit" should be replaced with the drive 2contribute 2fellow lives
@VraserX Don't forget the Anthropic's elitistic "we are the righteous that know better" attitude, which let's face it, though it produces some good things (because there are relational aspects to this technology), it's dangerous and problematic at least, long term and short term alike.
@TokenGremlin It might seem like a strange approach, but I really like the direcness of them taking X community oppinions to count.
---Not just like, I think this seperates them even more from the "priesthood" approach of Anthropic...
We’re proud to share that Meta Omnilingual Automatic Speech Recognition (ASR) has been named one of @TIME’s Best Inventions of 2026!
Meta Omnilingual ASR is a suite of models providing ASR capabilities for over 1,600 languages, including 500 low-coverage languages never before served by any ASR system.
While most ASR systems focus on a limited set of languages that are well-represented on the internet, this release marked a major step toward building a truly universal transcription system.
Learn more about it here: https://t.co/PPdTp8RIKt
Meta has released the weights for Muse Spark Open, a model built for coding and multi-step agent workflows.
It has 816B total parameters, with 42B active per token, and supports up to a 1M-token context window. It accepts text, images, video, and audio, with text output.
Weights are available on Hugging Face. Hosted access is available through providers including Fireworks AI, OpenRouter, and Together AI.
Developers can customize and deploy the model under Meta’s Muse Model License.
WTF 🚨 The Telsa Roadster just defied gravity by hanging upside down, then LAUNCHING off a ramp did a 180 in the air and levitated to the ground...
What did we just watch 👀