_diyar

Well obviously it's more prevalent. But you don't know what the prevalence would have been had Mars bars not shrunk, ie it could have been worse.

Not that I actually believe that Mars bar size had any meaningful effect, but your rhetorical question is nonsensical.

No, this uses a feature of the macOS file system. From the FAQ:

> Q: Are clone files the same thing as symbolic links or hard links?

> A: No. Symbolic links (“symlinks”) and hard links are ways to make two entries in the file system that share the same data. This might sound like the same thing as the space-saving clones used by Hyperspace, but there’s one important difference. With symlinks and hard links, a change to one of the files affects all the files.

> The space-saving clones made by Hyperspace are different. Changes to one clone file do not affect other files. Cloned files should look and behave exactly the same as they did before they were converted into clones.

I like the analogy the author draws.

But so much of the AI capability discussion can be avoided once everyone understands that a) There is some multivariate supply and demand market for software and b) AI is shifting the supply curve of software.

The shift is uneven, not perfectly monotonic, and might actually result in shifts in the demand curve (as e.g. 10x seniors get more valuable).

This insight makes it easier to see the forest despite the trees.

Finally a new type of circular financing to talk about!

I agree. But is that the model or the prompt?

I remember reading a report where people running AI-model instagram account were using insanely long and detailed prompts about the setting, lighting, makeup, pose, disposition, clothing, etc. about their models. Presumably with some reference image of the face / body to remain consistent across images.

It‘s not clear to me whether a sufficiently detailed prompt can generate actually interesting video with a natural ”texture” (for lack of a better word).

Also begs the question whether this is applicable for high-throughput applications on FPGAs, which are to my novice mind basically LUTs, right?

I remember a paper which was posted on HN a few weeks ago where somebody implemented KAN networks in FPGAs, since those can readily be approximated as LUTs.

Even if all extrinsic motivations for writing disappear, some people will continue to write (without AI) for personal reasons.

And even at that point, others will continue to write using AI to simulate being one of those people.

Maybe a naive question, but any goal / progress towards an ”it just works” cuda installation? Currently, the only times i feel like i‘m stumbling over an install with uv is when pytorch / cuda is involved.

This is very clever: instead of focusing on electric only flight, just make the existing engine fly in the most efficient window while the electric engine buffers the flight profile.

Like a big-boy prius.

I think its a ubiquitous task which requires some amount of precision dexterity, so its an easy to digest example.

The drop in price is a bad metric to judge this by since bond prices depend on the yield of other items.

Here's the key point in the article: A month ago, the bond was priced at +175bps yield above treasuries with similar maturity, now it's priced at +231bps.

Yes but the errors would be uncorrelated and if you could use many different measurements you should be able to estimate with reasonable certainty.

I happen to listen to ATP, a tech podcast of which Casey is a co-host.

I believe his family owns 2 cars, but had to replace one of them recently when a pebble caused a freak accident, essentially totaling the engine in one of the cars. Hence 3 cars purchased in 10 years.

Edit: Episode #592, at the very end: https://overcast.fm/+ABQnv4mYCFc/1:40:38

in casual use you might also be able to guess it from context, so i think it’s a wash

Hard disagree. As a. swiss voter, this is close to my heart.

50% of all energy in the swiss economy is oil / gas. Of the remaining 50% (electricity), 2/3 are generated by hydro. The remaining ~1/3 by nuclear fission.

Swiss electricity prices are sky-high, and the demand for electricity is going to continue to rise.

To remain a competitive industrial economy, to transition away from oil/gas, and to offset any potential losses of hydro power as glaciers melt, nuclear + solar is the only real path for switzerland.

Your argument holds across the supply-curve of software-engineering-skills. However, there must be some threshold where a previously employed dev is now sol because AI+Human outcompetes him (ie the supply curve has shifted, and the point they used to occupy is not unprofitable)

i agree, but that want my point. i was trying to point out the rationale behind the root comment to my parent comment

true, but ~all new users have a stronger mental model of how their phone works vs. big-screen devices.

but surely you realize that people going to kagi also don’t like google or bing.

These services run on the blockchain, right? So in effect, there is no blocking them.

Any answer to this question must also consider the current cost/token and its downward trajectory as algo and hardware advances drive down costs.

> Can you find any flaws

Physics.

Good points, but consider what this post does prove: people’s arguments against AI art are shallow; they often attack the artifacts themselves instead of making your deeper argument.

It’s a great system until every department is angry at the one for messing up the system.

As a system provider you take responsibility not only for maintenance, but also to tank the blame once something invariably goes wrong

You could vibe a language, feed the spec into a model and vibe the flight sim.

Here’s my guess as to Apple's reasoning: They like to dominate suppliers, but TSMC is in such high demand that they’re on equal footing now. Going into bed with Intel gives them the chance to set strict terms again.

I think a huge gap in the market today is documentation that is both easy for humans to navigate and understand, but also readily ingestible for agents.

But it’s not like MIT gains anything from rolling their own LMS.

Might your impression of these pictures be colored by your life experience during that time, ie. you might have been in your early twenties with the iPhone 4, and those pictures carried the smell of that time in your life.

No because the goomba is the average of two real opinions, and the strawman is a distortion/reduction of any opinion such that its easy to argue against.