chronogram

I don't see the author complaining about it, instead he thought it was an interesting story. So I guess he already did that.

I have my business email read first by an LLM, I imagine someone who works at a tech-oriented website does too so those emails are basically filtered into a pile anyway.

Put very simply, that is how they're supposed to work. They are supposed to result in the most likely result. Same reason they, unless made not to, output '17' when prompted to "pick a number between 1 and 30", because that is the most likely result from training; but that means that all LLMs output 17 except for forced temperature or reasoning in RL making them run a python command with random.randint(0,31), or that the prompt is recognised and something else is supposed to be chosen than what is statistically the most likely text response.

Therefore asking a group of people would result in more varied outcomes of something visual, but from the textual training data the direction is statistically the most likely so is what is output, that sky is the most likely, time is the most likely, cloud coverage, etc. You're prompting with as little as possible so it fills in the blanks with what as likely as possible. When you ask Alex from the North Pole they're going to fill in the blank with a different kind of weather than Bob from the Equator.

That does mean that an LLM itself is in essence not as creative as a human, but then it is a tool to be used by a human doing more than oneshotting "Generate an SVG of a pelican riding a bicycle" and expecting creativity from the tool rather than the user. If the user is lacking in creativity they can prompt an LLM to get wacky scenarios to change it up a little.

What about the quality of the transcription?

Assembly doesn't add anything here. You'd still need to implement the IO, portability, safety, etc etc. You'd end up with the same thing so you might as well use Go from the get go. Assembly is useful for dedicated SIMD like in dav1d.

It's part of their job. If they can't do that right they certainly can't do the rest of their job right. Just like it's OK to get queazy if your doctor is functionally illiterate or your lifeguard can't swim. Also things that match average people in some areas.

Is that your first time using an LLM? I don't mean that in a snarky way, it just seems like things everything could do for years.

What exactly do you mean by desktop security? Security from websites, installable software, physical access?

Same here. Astra has been the best thing I've seen. Astra on Low has been my favourite thing so far. Higher levels just mean more cruft, not useful.

I use it in the car to talk to because it's built-in, mostly for navigation via voice. It seems to be an old or quantised model, because it seems a few years old, and it has strict rate limits unlike Gemini, where it really just shuts off if you talk to it a few times in one day, but it's still fun to show passengers who are still new to LLMs.

They can't increase capacity by raising prices. Right now they calculate that they're at an optimal revenue curve. Simply reducing demand by increasing prices doesn't mean they get more money. The limit is in the ability to buy hardware.

Absolutely nobody commenting that has done that, it's just roleplay. Flash-0731 and Pro-0813 replaced previous models too, and the V4-preview models replaced V3.2 before that. You have your official API from a tiny cutting edge research lab that can only realistically host one model at a time, which you know from every model they released before, but they fully openly provide every model so if you want that infinite stability you can easily host it yourself for eternity. So those commenters want to pretend they require RHEL-like stability for their prompts with enterprise budgets, but somehow can't host those models, yet at the same time offload their entire RHEL-stability requirements to the research lab. Even Google and OpenAI retire models that were still relevant a year ago, but open models actually last forever.

The original from 2021, so 60% health after 5 years? Coupled with how they don't have a bypass sounds to me like they don't have their battery in order. Your linked thread also mentions that it happens at 100% too, which would explain the extreme degradation: leaving it plugged in by default thrashes the battery without a bypass.

Not OP, but I know that's not mainstream for phones at all. I think only Pixel phones enable it as a normal thing, when you have the 80% charge limit enabled. Sony (since 2020) and Samsung (since 2023) have it, but only when you enable it within some game settings for selected apps. Maybe gaming phones have it because they're plugged in more than others and care about heat. Apple doesn't do it.