dpweb

Doesn't matter if the product is real. The idea is to cultivate a sense of wonder and adventure. To get people talking about you. Then you sell more of the products that are real.

The discovery of some information theoretic limit to model learning (at least using current paradigms) can't come soon enough.

That's not their business model. They won't win on price, but they won't compete on price. Their business model is making the current state of the art.

If I'm a business and I need something done today, and bc Anthropic has the best model, there's a 99.9 chance it will be completed successfully for $1000. And using Deepseek there's a 70% chance it will, for $10 - you or me will go for the $10. Big businesses don't. Bc 1000 per task is nothing to them.

M5 ultra wait time just went from 4 to 8 weeks over the weekend. Can't wait that long.

haha one of my favorites!

Usage is sus but 500 minus tax write off to even a one person business that makes 100-500k yr. not crazy at all - kinda expected.

Worth it? Huge YMMV. I'd expect a $1000 sub next.

There doesn't need to be a single correct response. Generate "novel" problems with a set of acceptable solutions/outcomes, then verify that the response satisfies the criteria.

Ironically this thread became Yet Another AI Discussion. Really its just the agi takes that are the most useless and annoying.

Fixed benchmarks will be debunked eventually I'd think. Better to use synthetic problems.

Too easy to game the numbers, and too easy to baselessly accuse companies of gaming the numbers, not to mention how you even define that.

The core idiom I've used for years is deliberately tiny: fully encapsulated custom Web Components that simply re-render when matching an attribute and `window.state` changes. Data model is simply:

  window.state = new Proxy({}, {
    set(target, key, value) {
      target[key] = value
      document.querySelectorAll(`[data="${key}"]`)
        .forEach(el => el.render?.())
      return true
    }
  })

handles reactivity.. https://github.com/digplan/vanilla-light

Got off Gemini before they ended the cli, was not working for me, and went to Codex and opencode/deepseek flash v4 0731 which was working ok.

But got the google ai pro free 1 yr student - been liking agy quite alot actually - pretty good weekly allotment. Like the default, Flash 3.7 high.

Even bought extra credits I've been hammering it all day long.

People talk all day about coding but where this thing amazes me is devops. It hooked itself to discord so i can command it, set up or troubleshoot ssh servers on my home network. Blew my mind a couple times.

They have to do something. There's a cheating epidemic right now everywhere.

I think the axis of AI in Ed should be, use it to super-charge learning, while assessment should be impossible to outsource to AI.

Verbal exams.

Kinda useless to compare simply based on model without considering harness. Different agents handle the context etc completely differently. I would like to start seeing these model vs model comparisons across different harnesses.

Sorry to suggest this but if they charged everyone say $1/mo. it would absolutely help the massive surge from AI coding they seem to have had.

I don't like paying for free stuff but gh certainly worth it.

P and NP are classes of computational problems.

A problem in P can be solved in polynomial time - the computation required grows relatively slowly as the input size increases. Like sorting a list of numbers.

A problem in NP requires exponential time or greater, but a proposed solution can be verified quickly. For example, checking a completed Sudoku puzzle.

It is believed but unproven that all problems in NP are NOT in P.

The danger of anthropomorphism is not we elevate the machines, it's that we debase humanity.

I also think different ideas get conflated. It may be possible to build a machine that is super-human in the sense it can outperform the human brain in all kinds of measurable ways. Does not imply it possesses all the same qualities of the brain.

I respect a number of things Anthropic has published about the ethical issues at stake. But, having an in-house philosopher does invite you to make all kinds of unfalsifiable claims.

Everybody always wants to talk about job losses. It's only part of the larger imperative of preserving human dignity.

We don't really have leaders with the maturity and perspective (and lack of self interest) certainly in Government and questionably in tech that can be trusted to advocate for human dignity, so the release of this document from the Pope is a remarkable event.

Hello. Interesting project! Haven't gone through it yet, but want to consider using this in my CS master's capstone. While you have benchmarks I may create my own specific scenarios and comparisons vis-a-vis hosted inference to highlight specific economic benefit. Any suggestions?

Don’t quite agree with the implication that if the answer to a problem is readily available (from an LLM) there is no use in the struggle to find the solution.

However I think it’s very important to approach such questions objectively, or at least self uninterested, and not as one who’s worried about one’s job or sense of self worth threatened by LLM technology.

The value is in the development of one’s own mental faculties. In math classes they tell you you have to work the problems. Even if LLMs become capable of solving entire classes of problems that that set expands over time, the value in developing one’s ability never goes out of style.

Ever consider there's reasons to study Computer Science at the collegiate level, other than making yourself a more desirable worker?

However if you view your content as valuable and the algorithm does not anymore, it's probably not the best platform for you to be on.

Haha. Was just thinking that as I was reading a comment!

I was thinking, this argument is suspicously cogent!

Have had good results on MacOS just using codex (or your cli of choice).

Have it create a swift app, unless extended permissions are needed it can compile withouy going into xcode.

Few simple util apps, disk cleaner, clipboard manager. Worked pretty well.

Had better results than using xcode's built in ai extension.

I wouldn't underestimate this as a good business decision either.

When the mass surveillance scandal, or first time a building with 100 innocent people get destroyed by autonomous AI, the company that built is gonna get blamed.

Gorgeous UI! Will try it out.

I know about "the entire developer world has been refactored" and all, but what exactly does this thing do?

Runs git checkpoint every time an agent makes changes?

Made a quick bot app (OC clone). For me I just want to iMessage it - but do not want to give Full Disk rights to terminal (to read the imessage db).

Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini.

Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders.

What I did was create a shortcut on my iphone to write imessages to an iCloud file, which syncs to my mac mini (quick) - and the script loop on the mini to process my messages. It works.

Wonder if others have ideas so I can iMessage the bot, im in iMessage and don't really want to use another app.

Compilation is transforming one computing model to another. LLMs aren't great at everything, but seem particularly well suited for this purpose.

One of the first things I tried to have an llm do is transpile. These days that works really well. You find an interesting project in python, i'm a js guy, boom js version. Very helpful.

Useless if it takes > 5 sec. to load a page

I disagree I think we always need new languages. Every language over time becomes more and more unnecessarily complex.

It's just part of the software lifecycle. People think their job is to "write code" and that means everything becomes more and more features, more abstractions, more complex, more "five different ways to do one thing".

Many many examples, C++, Java esp circa 2000-2010 and on and on and on. There's no hope for older languages. We need simpler languages.