rippeltippel

Sound like Google suffered from FOMO and felt the urge to appear in the hacking news, along the big AI players. No way Gemini is state of the art, but perhaps it's where Claude and OpenAI were 6 months ago, which would be not bad at all.

Really interesting to see how many cosmogonies proceed in stages, with the sea at the beginning of creation, and animals/plants/mankind appearing later.

Thanks to science we know it's more or less what happened (plus evolution) but it's nice to see how pre-scientific intuition somewhat worked it out.

What are the use cases for this? On other words, what problem(s) does it aim to solve?

I may be a rare Cursor user around here, but I am saddened by this news. The thing that keeps me using it is precisely the ability to switch between models: I usually do brainstorm/planning with Sol or Terra, then let Composer (free) deal with the implementation. For certain tasks I use Claude, which tends to be more expensive but sometimes saves me time.

Using both OpenAI and Anthropic models, Cursor is cheaper than having two separate subscriptions, and their free tier of Composer is good enough. I will now have to reconsider my options.

How is it different from the Oyster card in London?

Isn't that patent similar to CodeAct [1], originally described in this paper [2]?

[1] https://learn.microsoft.com/en-us/agent-framework/agents/cod...

[2] https://arxiv.org/abs/2402.01030

Very nice project, thank you for sharing it on HN! May I ask why login is required, and how are emails/passwords stored?

I've never seen the word "cyber" sprinkled so generously.

Misleading title. This is an explainer on how fonts are encoded and rendered, not a tutorial on how to actually make a font.

How about Nothing phones? I'm considering those, when my OP7 will die.

In the country where I live there are two university degrees: Computer Science (depends on Mathematics) and Information Engineering (depends on Engineering). I took the latter, where there is more maths (despite not depending from the Maths department), physics, electronic, automation. I now work with healthcare data: a highly regulated field. Can you please explain what is _not_ engineering, given this context?

Previously on HN: https://news.ycombinator.com/item?id=48658334

US citizens don’t get scolded enough for having elected (twice!) a president who denies human-induced global warming.

AC would not be so much needed if we started reducing pollution and greenhouse gases.

Eventually yes, perhaps. But first heat gets trapped in Earth's atmosphere, because pollution and greenhouse gases make it hard for it to dissipate into space. It's called global warming, and no - it's not a hoax.

Since the author is referring to a specific model, I think it makes sense to ignore how the model (or local models in general) may improve over time.

It's like buying a car: I drive that car and get attuned to its characteristics; I don't think how that car (or similar cars) may improve. That's my tool and I want to make the most of it.

It is true that switching a local models it technically very cheap, but there's a considerable time investment in squeezing the most out of it, which may not work on a newer version of that model.

Hopefully, EU-based Yann LeCunn's AMI Labs will develop foundational world models at some point. As I see it, the main problem in EU is not lack of talent: it's lack of investments. Mistral itself recently secured 4B, which is 50 times less than what it could have made in the US.

If I were Dario Amodei, I would start relocating Anthropic to the EU, where there's a huge interest in supporting domestic AI. Also, EU politics are so fragmented that a suspension like this one would be very hard to be agreed.

Yann LeCun got that right with AMI Labs.

I agree with the "what" but not with the "how".

The article essentially says that, for a junior to be hired, they should demonstrate the same experience as a senior: deploy real system that solve real problems, know how systems behave in production, etc. That is precisely the skillset that someone builds up in a professional environment, i.e. after being hired.

In my view and experience (20+ years in the field) the value of junior colleagues is not in what they already know how to do, but in the freshness of their ideas, and the ability to learn the skills required to bring those ideas to fruition.

So, I agree that the hiring pipeline is broken, but for a different reason: companies stopped looking at juniors as a long-term investment.

I can think of a few reasons for that. In any case, that mindset is to blame, not the "kids" and their education.

I use CodexBar, which supports more providers: https://github.com/steipete/codexbar

That's great, now make it learn something :)

The voice of several passages resembles ChatGPT very closely.

Are you talking about Claude Mythos? /s

The readme says "This app deliberately does not support breath retention, rapid breathing, or any pattern not grounded in the slow-breathing clinical literature." Also links to relevant literature.

I find it hard to understand what it is about. Better in what way?

also made ripgrep

In the mid 90s, one of the main use cases advertised for the Web was sharing recipes. I didn't know anyone who primarily searched for recipes online, clearly those ads were targeted at a different demographic group.

Possibly. And possibly the fact that breaking experience for iOS users would result in a massive backlash, while the volume of non-iOS/non-Android users is negligible in comparison. Some of them will convert to mainstream OSes, the rest will succumb.

Nice work with mxmap. It's a very good way to appreciate to what extent EU depends on US - email providers being just one of several dimensions.

At this point, developers have named so many projects "Atom" that there are officially more Atoms in the world than there are atoms in the universe.

I started reading this article with keen interest, expecting some deep fix involving arcane model weights. Instead it was "Never talk about goblins", justified by Codex being "quite nerdy". Bottom line: even OpenAI have to raise their hands when facing the complexity of LLMs.