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dehrmann

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This is picking the wrong tool for the job twice over. Half of it is seeing if text-to-image mechanics exist in general purpose LLMs, the other half is seeing if they can reason their way about generating the 2d array. Imagine asking this of yourself and doing it through just a train of thought. Yes, I could probably draw a basic smiley face in the color of your choice in a 16x16 without antialiasing in 15 minutes.

Subscription usage limits are hard to measure as none of the providers tell you directly what it means in terms of tokens or anything else you can easily compare

AI subscription pricing is so goofy. You get some amount of usage that varies by models, is measured by opaque token usage, driven by how many tokens the (usually) vendor-provided interface (or model itself) wants to use. Then your usage is limited by time opaque time windows.

The headache I recently had was it somehow started interpreting mouse clicks in the terminal to mean I clicked an option when I was really just trying to get/confirm window focus.

Compilers only really use them for things like break and the end if blocks. There isn't much to gain by being able to execute anything arbitrarily, and then go...where? There might be places here and there within a function where compilers already take advantage of it, but I doubt it's useful in the way you think.

They don't have Claude write assembly because there is no training corpus on people making CRUD apps in assembly.

I suspect that despite its translation abilities, this is true, but I'd like to see it do things in languages that are more or less appropriate for tasks to see how much the training corpus matters vs. its ability to translate. Assembly is a bit of an extreme example because you're either writing it as close to C as possible (C is essentially portable assembly) or you're writing complex, unreviewable code that happens to work. And who know if it's been trained on register allocation, or resorts to doing everything on the stack because it works.

This makes a case for engineering margins, maybe even running the numbers assuming a worse grade of steel or bolts than specified. Also worth remembering this building wasn't special. If this was a design or construction flaw that surfaced with added load, a lot of other buildings from that era probably have a similar issue.

I used to work for a Pricerunner competitor. Not Nextag, but they were the most well-known in the US. They're called "comparison shopping engines," and most were names people would barely remember.

These companies got steamrolled by Google because their service wasn't very good. It's all an affiliate marketing play, where they get traffic for keywords through Google organic search (these sides made heavy use of SEO) and Adwords. When you land on the site, everything is an ad, either a merchant product link the merchant pays per click for or less commonly, an affiliate link. Result ranking is tuned between revenue and relevancy.

The problems are it's not really a comparison as much as search results, you're clicking in from a Google SERP to another list of search results, and the results used factors other than relevancy, and the side was designed to encourage click-outs.

It's not even the Nasdaq Composite, It's the Nasdaq 100. And yes, the Nasdaq 100 is a shitty index because Nasdaq vs. NYSE is a bit of an arbitrary, tradition-based way to get tech exposure. It's missing NYSE tech companies (Oracle, Dell, Spotify, Uber) but gets some non-tech like Costco and Pepsi. It'd be like only dating iPhone users. It's sort of a rough proxy for something, but you're better off choosing what you actually care about.

Matt Levine's take was essentially that if you're in the index fund game, you want the market. You don't pick and choose what parts of the market you want--that's active management. SPCX mostly isn't an issue because most indices include the float in the weight, so it isn't really even a $1T company.

They're not necessarily "cooked," (but they certainly can be). Inflation is genuinely hard to calculate since it's different for everyone, goods and services purchased drift over time, and as you mentioned, that exact good also changes over time. CPI (and others) are more useful in a MoM or YoY context. At 10 years, it's better viewed as best guess cost of typical living rather than an economic indicator comparing apples and oranges.

housing

This is actually the hardest to get right because it's the largest, and 2/3 of Americans own homes, so part of their costs are fixed.