Infernal

Cui bono?

How is money easily made off of adherents to these TA methods?

It's kinda like eternal September but for software engineering. There was a time that just being on the internet, having an email address, etc. was a signal that indicated a level of technical proficiency. Now everyone has that connectivity, it doesn't mean anything anymore.

Same concept, but github repos now.

Did it used to be a lot bigger? Looks like a couple wooded lots side by side now.

I am really surprised you’re seeing half the generation performance of 3.6 with 3.8 at the same parameter size and quantization (and same prefill performance to boot) - is there just an optimization in the stack somewhere for 3.6 that hasn’t landed yet for 3.8?

Curious if other folks are also surprised by this apparent discrepancy or have a ready explanation.

If I understand correctly, it’s not that the LLM can’t write a good comment, it’s that you want to be able to interpret and understand the generated code without comments - and in that process end up writing comments yourself.

Core Series 3 processors, Thunderbolt 4, a new keyboard with fingerprint reader and backlight.

As a current Framework 12 user I'm not in a huge rush to upgrade the mainboard, but will be snagging the backlit keyboard as soon as it's available by itself. Would love to see a haptic trackpad one day, as well as a screen that covers a larger color space.

Ooo which 80's sedan? I had an E28 20 years ago that I still think about

Not just you - from ansel.photos:

>Ansel has not published a stable release yet and there is no ETA for one : a new release is published when the list of all bugs have been cleared, so we know the software and stable. So far, Ansel only publishes revisions, which are intermediate states of the sourcecode.

I have a similar question and I’m inferring the answer is no - look at the cache hit rate of 23% for the 128GB M5 Max. I had previously assumed that the 40B active meant that a set of layers was chosen as THE expert for a given prompt and generation was then limited to those layers until complete. But in that case you’d have expected the expert caching to have a super high hit rate once you had enough RAM to hold an entire expert’s worth of layers.

Do we know where those key players went?

If I’m not mistaken it appears the regular S100X has these too. The only difference really seems to be the lacquer finish, and maybe the navy display.