Were the withdrawn ones actually Lean-checked or not? seems like that matters

Picking lunch menu..?

good job :) kind of hard for me lol

It takes a few tries to get the right cadence.

You need to click once and the swing will start and again when it goes over the green sweet spot!

One of their three identical accounts had ~20% lower limits and the explanation was an "extremely tiny" A/B test. Makes the "5x" kind of a joke. I'd honestly take a slightly worse plan if it just published the actual token limits.

They would never do this because it would allow customers to see how often and to what degree they're shifting account limits. Token transparency costs extra, full API price to be exact.

Grab a plan from one of the Chinese companies, they give you explicit ranges token that you can expect to get.

Didn't expect to see CATL among the biggest backers. What does the battery company want with DeepSeek? Maybe they chase a chance to sell batteries to the datacenters?

Oh! sorry for that, I had a mistake :( I can't edit url, so I have to edit title for this submit and submit another contents. sorry again and thank you comment

The root problem is that coding agents treat tool output as trusted context.

Good idea. Worth considering though, philosophy isn't really about right answers, it's about learning to question. Bit worried about an LLM tends to hand kids a tidy conclusion, which is kind of the opposite of what you want.

The FFmpeg/Python step is neat. They avoid stopping on every frame, capture continuous video instead, then split it back out and pick the sharpest frame from each group.

From Atom Computing. The toric code needs non-local connections, which plays to neutral atoms' all-to-all connectivity over fixed-topology superconducting qubits.