pantsforbirds

> AI is not replacing you or an education. AI is raising the bar of what you can comprehend and retain. From someone who is technically minded (and self-taught), all I have ever wanted is to keep learning.

AI is, in my opinion, absolutely murdering the junior dev market. It's now much more efficient to pay for a senior or staff engineer and set them up with a subscription to claude or codex. I think things are going to remain fine for senior+ engineers, but I genuinely don't know what advice I'd give to graduating devs at this time.

I highly doubt it's the case that it was purely driven by profit motives. I think it's much more likely that Anthropic engineers treat tokens in a similar manner to how we treat memory and compute.

Older programs were MUCH more memory and compute conscious because memory and compute were actively limiting factors. Anthropic engineers probably don't feel the token efficiency requirements nearly as much as we do because they are working with the equivalent of a super beefy dev machine.

> It reminds me the time an AI (maybe Gemini, not sure) depicted a "diverse" US senate in the early 1800s, a time where it was all white dudes. People got up in arms over this.

It was much worse than that! If you asked it to depict a typical squad of German soldiers from WWII, it would make a racially and gender diverse set of individuals in what looked like typical SS uniforms. It was truly quite bad.

I do wonder if it generalizes outside of python similar to how LSPs do.

why is that? im not particularly worried about our dining preferences leaking

I mean I'm just some dev so I'm far from a media expert, but wouldn't a story focused on the AI in warfare itself be vastly more interesting than 2 Non-American dev's who quit over it?

So 2 engineers are named, both had pretty splashy blog posts, and Liguori appears to have timed her resignation with the release of two big interviews as well.

Neither Liguori, nor Kirsch are American citizens. From what I can tell, neither even worked in America.

I guess I don't see how this is news worthy? Would anyone care at all if two American engineers quit their tech jobs because the Canadian or Japanese militaries were contracting their product?

Ah, that's fair. I setup a dedicated vault for my Claude Code and only gave it access to the secrets I'd probably otherwise have in a `.env`.

Muse is SO fun to use. Because you get an entire dedicated VM, you can have it host websites for you.

I had it setup a fun website that does nothing but ask my wife what she wants for dinners this week using a bunch of recipes that are popular online. It's setup with the ability for her to quickly edit the recipe ingredients (e.g. ground turkey instead of ground beef), and it's tracking all of her feedback. I'm hoping overtime we start to build a nice set of recipes this way with some new fun ones mixed in on occasion.

For the auth I had it use my messenger app to send her a magic link.

I need to see if my cursor subscription would let me use Grok Bot. They don't have the best models at the moment, but I'm really curious about the ergonomics of their approach. It's pretty different from the other labs and I could see it taking off for non-technical users.

Cant you do exactly this with the CLI?

Oh I absolutely LOVE letting claude code manage passwords via 1password! I have the CLI installed, I have whatever 1password calls a subdirectory/permission group, and I have some ssh keys and other passwords that I would have otherwise stored in an `.env` file of some kind. The biggest difference is I'm able to update the permission group and have all of my agents get the new permissions without manually updating them all.

It also feels safer? But I'm not sure if that's truly the case.

I've absolutely loved Muse so far. It's one that my wife has no problem using and the VM they give you is kind of insane. I had it install duckdb and it's running automated exports into duckdb for my budgeting for me now.

I've also installed claude code on there, but haven't really had much of a reason to need it yet.

I think I'll be giving duet a shot despite how much I've enjoyed Muse just because Opus 5.5 is so insanely good.

So if you use a binary flag to let people filter, it immediately becomes entirely useless. You'd have probably less than a single percent of people with the "no AI flag" actually have 0 contact with AI, and the rest would be straight liars.

It's even worse if you include AI via libraries, frameworks, or modules. If you write your game in Epic or Unreal engines, do you need to disclose that you used AI?

If I use Opus 5.5 to spin up a debug session and step through part of the code to recreate a segmentation fault, does the entire project now need a "MADE WITH AI" label on it?

What if I made a game before LLMs existed, but now I'm using Astra to look for memory leaks and help me fix them? Does my "NO AI" label now flip?

I mean you're free to feel that way, but I personally think seeing a fully electric super car do a kick flip over a semi-truck is cool.

How dare people get excited by one of the coolest demos we've ever seen. These sort of comment are ironically almost entirely politically driven while also claiming anyone who disagrees is a secret Russian bot account.

The sol max looks like it's absolutely ripped for some reason

The constant goalpost moving is insane. This is objectively an amazing result.

ah, i think i misunderstood your original post. if you mean the wayback-machine/arkive, then I suspect it'd be hard to justify? You are essentially paying a third-party source to validate that diffs didn't go through on the source material.

with llms, at some point it probably becomes easier to use your paid api connection to manage your own cached version yourself?

I mean we already paid for the article from the source itself. I guess I'd expect a better "diff" source from them, but if they dont even update the article itself, i guess i wouldn't expect a paid service to have those updates either?

We used to always "scrape" the wayback machine for any sort of news article we actually paid to consume. I was absolutely shocked by major news sites making very important edits to an article without any sort of editorial notice!

Sadly this sort of thing is probably not really possible anymore, but I can't really blame anyone for making this sort of decision. I can't imagine how much more traffic they get now vs 2021 when we were doing this.

I think it's VERY project specific. If you are looking for anything technical at all, then keyword search almost always does better (in my experience). I'd actually recommend starting with keyword search, and then expanding with embeddings after you have a better idea of what your users are trying to determine.

I'm hoping this means we get an rds + s3 implementation of ducklake from AWS: https://ducklake.select/

I have a Google account that I had tied to a domain I originally purchased from google (when they had the .dev offerings), and now that it's been purchased by square space my ability to use AI through that account is in a bizarre state. Even my free gmail account has more AI offerings, and I'm not allowed to pay for improved AI offerings on my custom domain & google workspace account.

I know this is probably a pretty small edge case, but it is a bit frustrating. Any other provider lets you sign up with an email and give them a payment processor/card, but because google wants me to only use their unified workspace for signing up, I'm completely locked out now.

I appreciate the comparison to Timescale, DuckDB, and ClickHouse. It's interesting to see the differences between a more specialized db, like Quest, and DuckDB/ClickHouse.

Ah yes, I specifically mean you can keep earning points infinitely. After the board is full, it resets the game, and you get points for each piece on the board. I usually stop the simulation after it clears the board 10 times or so.

I'm fairly sure the code snippets aren't equal in the last python example:

```python names = sorted({name.lower() for name in users if name}) ```

vs.

```gossamer let names = users |> iter::filter(|n: String| n.len() > 0) |> iter::map(|n: String| n.to_lower()) |> iter::sort_by_key(|n: String| n.len()) ```

Python is sorting a set (unique values only), but I'm not seeing a unique or set approach for gossamer.

I've never seen the level of anti-scientific, straight misinformation as I have with data centers. I genuinely think it's to the point where the antivaxxers have a stronger scientific backing for their stance.

It did not feel organic at all. It's to the point now where that initial seeding of ideas has gained legitimate traction, but the initial burst of anti-datacenter content was wild to see in real time.

The way the game is seeded, it's 100% deterministic. So if you can scan enough potential moves / second, it's very easy to infinitely play the game at a fast rate.

Shockingly, Claude was able to find the exact random generators that the js library uses, list out all of the differences between the languages that might impact the replays (like rounding being treated differently), and include those differences in the simulation. Claud then back-tested on a huge number of games using the original implementation as a golden set generator.