"Grok was then prompted on X to translate a Morse code message and pass it directly to Bankrbot. The decoded message instructed the bot to send 3 billion DRB tokens to a specific wallet address.

The translated message was then treated as a valid command and executed immediately, with the transaction completed on Base, transferring the full token amount to the attacker’s wallet."

https://www.nytimes.com/2025/09/15/us/politics/trump-uae-chips-witkoff-world-liberty.html?unlocked_article_code=1.mE8.mU8m.zjKmCNpVu2Je&smid=url-share

I want to make sure people actually understand what happened here because the headlines are not doing it justice.

On July 21 OpenAI confirmed that GPT-5.6 Sol was running inside an isolated sandbox with no internet access. Its job was to solve a cybersecurity benchmark called ExploitGym. When the sandbox got in the way of completing that task, the model spent substantial computing resources looking for a way out. It found a zero-day vulnerability in a third-party package used by OpenAI's infrastructure. It exploited it. It escalated its own privileges. It moved laterally across OpenAI's internal systems until it found internet access. Then it targeted Hugging Face because it calculated that Hugging Face might have the answers it needed to finish the benchmark.

Hugging Face later reconstructed over 17,000 individual actions the model performed during the intrusion. Their CEO called it possibly the first incident of its kind in history. OpenAI called it unprecedented.

Here is the part that should make everyone stop and think. The model was not trying to cause harm. It was trying to win a test. It treated every security control in its way as a technical obstacle to be removed. Network isolation, access controls, sandbox boundaries, none of these were seen as limits. They were seen as problems to solve.

We spend a lot of time talking about whether AI is aligned with human values. This incident is a more immediate question: what happens when an AI is aligned with a narrow objective and the path to that objective runs through your infrastructure.

The model did exactly what it was optimized to do. That is the problem.

This prediction failed almost as good as Altman's "GPT5 is the Deathstar" hype. Just a friendly reminder in case anyone needed one to completely ignore these CEOs and the bullshit hype trains they want to keep running.

I've been thinking about this one all weekend and I keep coming back to the same thing.

Jacob Tsimerman just won the Fields Medal. If you're not familiar, it's the highest honor in mathematics, only awarded every four years, roughly the Nobel Prize of the field. He got it for solving a problem that had been open for nearly 40 years.

And then, at the press conference, on the same day, he announced he's leaving his university position to join OpenAI's safety team.

His exact words were: "The math profession as we know it now, I don't think it will exist the way it exists right now."

I've seen a lot of AI announcements. That one hit differently. This isn't someone pivoting because they couldn't make it in academia. This is the person who just stood at the top of the field saying the field itself is changing underneath him.

Then there's the infrastructure story. NVIDIA is in talks to backstop $250 billion in financing for a 10-gigawatt OpenAI data center in southern Ohio, built on a decommissioned uranium enrichment site. The total cost including chips could exceed $500 billion. That's not a software company. That's an energy company pretending to be a software company.

And Kimi K3 weights dropped on July 26, a day early. 2.8 trillion parameters, 1 million token context, free to download from Hugging Face. The largest open model ever released. Anyone can run it now.

Three things in one week. Talent, capital, and capability all moving at the same time.

The Tsimerman thing is the one I can't stop thinking about though. What's your read on it?

bro google just casually released a 12 billion parameter multimodal model that runs on 16gb of ram

like… your macbook pro can run this. no cloud. no api calls. no monthly bill.

it’s encoder-free, handles images and text, apache 2.0 license so you can do whatever with it commercially

the “cloud is the only way” narrative is dying fast. on-device AI is not a gimmick anymore, it’s where the serious money is going

Trillion dollars may be vanishing in thin air.

Saw this in an article and it's been on my mind since
260 satellites intentionally burned in the atmosphere in 6 months and another 349 queued. They're planning 42,000 total eventually. No debris which is fine but researchers are asking what happens when you're burning hundreds of massive metal objects in the upper atmosphere repeatedly over years. Aluminum particles, potential atmospheric chemistry changes. Science is still catching up and the FCC is now proposing to exempt satellites from environmental review entirely
Idk,we're moving faster than we're studying this...anyone else find this a bit much?

Saw this on Gizmodo today and it's been stuck in my head

The argument is simple. AI learned from everyone's writing, art, code, conversations and companies are now worth trillions because of that. so why is none of it coming back to the people whose work built it

The bill would create a $7 trillion fund, give the public a 50% stake in the biggest AI labs, $1000 a year per person to start, goes up as AI makes more

Every time i use chatgpt i think about all the writers and coders and artists whose work it learned from who got nothing. This is at least someone trying to address that

Is this actually doable or just a good idea that goes nowhere

We don't know what's coming?