Provided GitHub link: https://github.com/curl/curl/issues?q=is%3Aissue+state%3Aope...
547 karma · joined May 28, 2013
Provided GitHub link: https://github.com/curl/curl/issues?q=is%3Aissue+state%3Aope...
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).
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.
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.
Rivian, by the way, is the lowest-ranked of 26 covered auto manufacturers in terms of predicted reliability, below Ram and Jeep. The top 3 are Toyota, Subaru, and Lexus.
IDK, see the "BLOTS ON A FIELD?" by Science ("A neuroscience image sleuth finds signs of fabrication in scores of Alzheimer’s articles, threatening a reigning theory of the disease") or "The 60-Year-Old Scientific Screwup That Helped COVID Kill" by Wired (regarding the anti-scientific refusal to acknowledge it as airborne) for a couple of recent examples. Once underlying assumptions stop getting questioned, I think anything is at least possible.
- create a platform to host content others create
- get employees to ask for company-provided access
- almost none of these employees really use it
- collect subscription revenue indefinitely
Look, I already liked the nerdy blog post! I don't need even more reasons to like it.
"is this using RDMA?" "No. It will be faster with that in the next release" [1]
Love this (honestly). Interesting article!