Recent submissions

Comment · 5 days ago
The tricky part is that profit is not necessarily an indicator of value, if underlying costs, particularly GPU hours, are subsidized. There's a question of how sustainable the investment into AI infra by the hyperscalers is, which will ultimately have to pass down the costs to the frontier labs.
Comment · 3 months ago
This feels less like a data center problem and more like a basic failure to price and regulate industrial externalities...are crypto mining or ai compute socially useful? Up for debate, but what isn't is that neither should make a surrounding neighborhood unlivable.

Also, noise regulations aren't good for this kind of constant tonal sound. Any facility like this should have to prove it can operate within a certain acousting footprint before it's built

Comment · 4 months ago
From first-hand experience, for established OSS initiatives it's good for repetitive, high-volume work task like security alerts, fuzzing, duplicate issue detection, PR review, summarizing long threads, and legacy refactoring.
Comment · 4 months ago
Bad patches are of course bad, but creating confident-looking noise for maintainers who are already stretched thin...now that's not good!

Issue trackers and PRs are definitely getting harder and harder to trust. That said, AI is helping ALOT in OSS, but we definitely need guardrails around provenance, automated issue actions, and sudden changes in a contributor’s behavior.

Comment · 4 months ago
So AI infrastructure buildout is starting to feel a lot like emergency industrial mobilization...

Also, building rapid temp shells plus nearby gas turbines paints a very different picture than the one conveyed by the "clean-energy" PR around hyperscale data centers.

Comment · 4 months ago
Very Apple-ish approach to AI catch up: wrap an external tool in a privacy architecture, embed into the OS and productize the orchestration layer.

It will be interesting to see if the Private Cloud Compute + on-device routing can make third-party model capabilities feel like a first-party system without leaking user context to the model provider.

If Apple handles the Google-Apple boundary right, this will be an elegant move on their part, otherwise it will feel like Apple Intelligence with a just a privacy-polished frontend for Gemini.

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