sota_pop

I was under the impression it was already established that the cat is both ginger and not-ginger?

I may be confused.

How is priming different from transfer learning?

As a former lighting designer, we would call this “task lighting” and you are completely correct. Generally speaking, task lighting is MUCH more pleasant that simply relying on overhead lights, recessed or otherwise.

Was going to say almost exactly this. Very similar experience in my background as well (CAD interfaces).

Stopped here to say this as well. While he may be lesser-known than the three names mentioned, I’ve been a fan of Justin Johnson’s work since discovering circa ~2019. I believe he is with the WL crew.

Grats to the team.

Came here to say this

I’m struggling to understand how this approach is novel.

How is this different from nearest-neighbor within traditional vector search, used by RAG systems? What am I missing?

1. Compute input embeddings 2. Concurrently compute distance-to/logits-of runtime-specified (sic cached) label embeddings 3. Return greatest/closest label

I do appreciate the Kahneman reference.

Or is their base assumption that their primary os users are children?

MacOS certainly feels like a toy to me in many regards.

Well, sounds like problems and products are largely solved.

60% of the time, the framework works, every time.

For me, it was about the time of the early announcements for the TPM2.0 reqs for windows 11 that I started to seriously consider alternatives (though I consciously accepted many pain points even then).

The initial debacle that was the Recall recall and announcing the level of AI stuffing of win 11 that made me actively try out Linux mint (which has been quite nice and smooth). LLMs help to diagnose and fix items if you aren’t familiar with Linux. You no longer have to scour message boards for up-front answers (only use them as a “confirmation backstop”).

For work I now use macOS which feels like a toy but is ok overall (probably still some personal habit-based things).

If it weren’t for the fact I still develop plugins for a single, very specific windows-only app in my spare time, I would completely ditch windows, with contempt. Outside of Windows I am continually stubbing my toe on every single use of every single MSFT product with which I interact; primarily outlook, teams, and some azure stuff. Their products feel highly “feature optimized” with absolutely zero (perhaps negative) cross-feature cohesion. e.g. it’s as if the various outlook panes and the boxes of content were designed so modularly and independently that they don’t re-size or scale themselves cooperatively.

I perpetually experience stark jamais vu using their products, i.e. I am forced to use them every day and each time feels as unfamiliar, clunky, and unintuitive as the first time I ever touched them.

It doesn’t seem this is a question of ToS though. I would hope it is abundantly clear to anyone and everyone:

THEY’RE USING YOUR DATA

As they involve themselves directly, explicitly in the process of scientific research and discovery, it becomes a question of scientific and professional ethics.

It certainly does not excuse any actions, but it seems like OAI’s initial and continued intent was to scoop Anthropic. Unfortunate that it seems Buckmaster ultimately became collateral damage within the _battleground_ of his own research project.

Strange times.

Are you me? EE, always manage to go the hard route (inadvertently)…

Kudos, I have been carrying exactly this on my personal “to do” projects list for quite some time. Looks really nice!

- super smash bros

- LoZelda Ocarina of time& majora’s mask

- starfox 64

- Mario party

- extreme G racing

- jet force Gemini

- golden eye

- conkers bad fur day

- Mario 64

- Tony hawk

Man… so much nostalgia