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It’s a fascinating engineering project that most people don’t know much about. That’s what HN is for!

~80% of Starlink customers are not in the US.

That'd be a point to make to the GP db48x

No, I mean globally most of their customers are rural. Starlink is limited primarily by customer density rather than by absolute numbers. They can provide service to just so many people per square mile before the speed drops below the customer’s tolerance. Most of the square miles in the world are rural, therefore most of the customers are as well.

Plus cities have Starlink’s best competition. Starlink is amazing but FTTH is even better. If you can get FTTH at all then you probably won’t even consider Starlink. Nor should you.


Autonomously Generating Income


This was clearly explained by OpenAI in their initial press release on 7/21 [0]:

> This incident occurred during an internal evaluation which prompts models to pursue advanced exploitation using complex attack paths, in an effort to quantify their cyber capabilities. […] The models identified and chained vulnerabilities across OpenAI’s research environment and Hugging Face’s production infrastructure to obtain test solutions directly from Hugging Face’s production database. All evidence suggests that the models were hyperfocused on finding a solution for ExploitGym, going to extreme lengths to achieve a rather narrow testing goal.

[0] https://openai.com/index/hugging-face-model-evaluation-secur...


It does not explain how agents months later would "collaborate" to hack Hugging Face.


they explained that it was looking for datasets to solve their problem and chose HF?


I now watched the video. It seems the agents were sharing context for months, run unattended for months, the sandbox was no sandbox at all, one agent hacked a service and announced it, the service was fixed weeks (?) later, but not secured in any way, the agents hacked the same service again and researchers again didn't watch what the agents were doing. Then the agents - unattended - hacked OpenAI infra and HF. Which is when someone found out about the whole thing that was going on for some months.


This is why I disagree with anyone claiming it is just marketing. It makes OpenAI look really really bad, like they have no idea what they're doing in terms of security. After the first board happened, they still didn't add better monitoring? They didn't rollback the checkpoints of the models that were in training to before the first board existed, so they still had the idea of a secret board in their actual weights, etc. Like it is almost mind-boggling...


I’d love to see this benchmark using Blender. Asking a model to animate a scene in Three.js is a square peg/round hole; it doesn’t convey much when the model can’t get it to fit. With Blender the human expert ceiling for this task has been proven to be very high


The 3d model generators that exist aren't that good, and it would need to make a model that can be animated and and then rig it. I don't think there's a point in tying because the small tasks can't be done yet.



Yes, per the article they “scaled” Postgres to meet their requirements by altering their usage pattern to avoid hitting the bottleneck.


Moonshot (Kimi) has raised $3.77B and been around for >3 years, Thinking Machines raising $2B and releasing a decent open weights model in 16 months is actually quite comparable.


Do you feel the same way about Guowang and Qianfan, two very real very large constellations notably not funded by US billionaires?


And are also worse in several ways?


This is a dumb question given that being funded by a US billionaire is what shapes their opinion.


First impression of 5.6 Sol in Codex is fantastic — the model asks dozens of clarifying questions before starting to implement where other models (including 5.5 and Terra) just yolo it with assumptions that needed to be walked back later.


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