astrostl

I don't think it's a good idea to front-page an exploitable site on HN. The blast radius isn't limited to the creator's Bitcoin, it also extends to zero-days against anyone visiting the site. This is true of all sites, but all sites are not built to fail while incentivizing exploits.

Beggar choosing: my kingdom for more 90B-133B MoE local models. Especially with disk offload, that is a function/performance sweet spot for Mac workstations with 64GB-128GB of RAM.

YES, and I also find that plan mode incentivizes bad practices and results in steadily reduced thought. On bad practices, I refer to zero/one-shot big bangs over iterative features/bugfixes. On reduced thought, assuming the plan was sufficiently comprehensive because it seemed to ask reasonable questions.

It can still be used in ways that I personally consider correct, but I think the parts I personally consider incorrect are so inherently alluring that I find plan mode to be an overall net negative for software development. I celebrate its apparently impending default removal (at least Claude Code and OpenCode are openly stating that they think it's time for it to go).

> it’s just BERT with more data

Let's take that as a given. Is BERT with more data not useful?

> I can see why people would want ready made one shot classifier, and I can see the value of sending multiple classifier in one call, but I wouldn’t call it breakthrough

Are those things that people want less useful because of what someone else calls it?

> I see it as a wake up call for the tech community to go back to basics for most tasks instead of relying solely on generic LLMs.

Maybe, or maybe to use Jev, which is useful?

Whether something is overmarketed or undermarketed, novel or derivative, it does not change its function.

I have updated macOS and iOS around day one of release since 2008 and have yet to experience meaningful issues, AMA.

The benchmark page itself asserts that it used Gemini CLI as a harness. I came to the comments just because I noticed the error. For my part — using agy — I found Gemini 3.8 Flash mid.

"If you're so worried about acceleration, why don't you accelerationmaxx?" — OP

> MacBook Pro M5 128GB RAM

614 GB/s of memory bandwidth

> MacMini M4 with 64GB of RAM

273 GB/s of memory bandwidth (also only currently available with 48GB)

When it comes to inference speed, you want your model to fit in memory, and then to have as much memory bandwidth as possible. In this case a hypothetical Mini with 1TB of memory would still be over 2x slower with 27-35B models.

And FWIW I have an M4 Max MBP 128GB that I keep on a Roost laptop stand, with a separate keyboard/mouse/video. It does fire up the cooling jets when running local LLMs, but stays within tolerance for me on noise. I haven't heat-tested it on longer runs, but I imagine the risen airflow helps a ton.

Disagree. We all are — or should be — Linux kernel developers. What's more, we should align to a specific and singular VCS worldview informed by BitKeeper, which no longer exists, whether or not we used it. Therefore Git. Thank you for your attention to this matter!