HN user

fintechie

2,483 karma
Posts12
Comments69
View on HN
Kimi Claw 5 months ago

This... OpenClaw is the best thing to happen to security and forensic firms since Windows XP. The amount of hacks, data/credential leaks, etc to come out of this will be of unfathomable proportions.

Monosketch 5 months ago

Aren't SOTA models doing this for few cents already? at least when I tell Claude to add a systems draw or arch flow to a README.md he'll do it quickly.

It's a crisis measured in hard numbers: reservoir levels, rainfall data, aquifer depletion rates.

Of course I went to check the actual numbers from official sources and they tell a different story. Reservoir levels near historical maximum. So much for building an article on "hard numbers" without pointing to sources.

Claude 4 1 year ago

It's not that it isn't better, it's actually worse. Seems like the big guys are stuck on a race to overfit for benchmarks, and this is becoming very noticeable.

Claude 4 1 year ago

Is this the first major flop from Anthropic? This thing is unusable. Slow, awful responses. Since Sonnet 3.5 the only real advance in LLM coding has been Gemini 2.5 Pro's context length. Both complement each other quite well so I'll stick to switch between these 2.

Apple M3 Ultra 1 year ago

IMO this is a bigger blow to the AI big boys than Deepseek's release. This is massive for local inference. Exciting times ahead for open source AI.

I don’t understand how stupid some traders can be.

90% of traders lose money, so that's a data point...

You're trying to apply rational thinking but that's not how markets work. In the end valuations are more about narratives in the collective mind than technological merit.

The parallels with the dotcom bubble are clear... Tech is magical. Tech becomes cheap/free. Stock holders panic.

For some time it's been clear that there's an AI bubble and this may be what finally pops it.

Gave it a go for several projects, but didn't like it... for big projects it gets messy, fast. It also feels like it has become the new bootstrap.

I'm very happy with my current CSS-in-JS workflow. Crafting good old css with LLM help. You just show the LLM a pic, ask for the components.... boom, done (with proper naming, etc)

Hopefully this makes the Cursor team reconsider security (which doesn't seem very good really).

Stopped using it for serious stuff after I noticed their LLMs grabs your whole .env files and sends them to their server... even after you add them to their .cursorignore file. Bizarre stuff.

Now imagine a bad actor exploiting this... recipe for disaster.

Yeah, it shouldn't be too difficult to build this with python. I wonder why none of the popular routers like https://github.com/BerriAI/litellm have this feature.

Problem is running so many LLMs in parallel means you need quite a bunch of resources.

Top of line MacBooks or Minis should be able to run several 7B or even 13B models without major issues. Models are also getting smaller and better. That's why we're close =)

We're nearing a point where we'll just need a prompt router in front of several specialised models (code, chat, math, sql, health, etc)... and we'll have a local Mixture of Experts kind of thing.

  1. Send request to router running a generic model.
  2. Prompt/question is deconstructed, classified, and proxied to expert(s) xyz.
  3. Responses come back and are assembled by generic model.
Is any project working on something similar to this?

Hungary and Slovakia, the only European countries that haven't allowed illegal immigration in, are at the bottom of that chart, while Sweden is getting rekt...

Legal immigration is of course fine and necessary, as long as the state and socials systems can assimilate it... (Japan is a good example). But articles like this show concerning data points in western countries with uncontrolled migratory policies.