zeckalpha

Perhaps we are witnessing a early shift toward ideographic writing

Interesting, I would make the exact opposite conclusion from the same data: if AI coding was that bad, we'd see more crapware.

> Model efficiency could improve faster than expected.

There are compounding incentives for this. I see this as the most likely outcome, though it will likely be stepwise rather than gradual.

I think there are still innovations at that layer like the Addition is All You Need paper.

There's still a lot out there.

Reminds me of all the dark fiber laid in the 1990s before DWDM made much of the laid fiber redundant.

If there is an AI bust, we will have a glut of surplus hardware.

Might want to try this font https://en.wikipedia.org/wiki/Highway_Gothic

Like Postgres has PostGIS, SQLite has Spatialite. https://www.gaia-gis.it/fossil/libspatialite/index

Unsure about integrating it with Pocketbase but I imagine it is reasonable to do.

Reminds me of the https://en.wikipedia.org/wiki/Osborne_effect

Isn't HN already a simulator?

Anyone know of a good place to buy a new linear slide rule? I know there's a circular slide rule manufacturer but am not sure if any linears are being made any longer.

I pay 21 cents per kWh and only 11% of my grid is nuclear.

Zero Trust, except for the trust in Cloudflare.

Reinvestments in the business factor into a different ratio. This only factors operating expenses.

Brew Casks are quite different from the App Store, but there is a CLI for the App Store if you want that: https://github.com/mas-cli/mas

Worked on my iPhone

I would ensure it is easily reimageable and restorable to a known good state.

I think this can be extended (but not necessarily fully mitigated) by working with non-SWE agents interacting with the same codebase. Drafting product requirements, assess business opportunities, etc. can be done by LLMs.

A couple more standard approaches with fewer chars:

jsonformat -> jq

running -> pgrep

This looks a bit like JP Morgan trying to make an AI ZIRP without the Fed lowering rates.

> To make this more concrete, here are some example ideas that are perfectly true when applied to regular software but become harmfully false when applied to modern AIs: ...

Hmm, I don't think any of these were true with non-AI software. Commonly held beliefs, sure.

If anything, I am glad AI is helping us revisit these assumptions.

- Software vulnerabilities are caused by mistakes in the code

Setting aside social engineering, mistake implies these were knowable in advance. Was the lack of TLS in the initial HTTP spec a mistake?

- Bugs in the code can be found by carefully analysing the code

If this was the case, why do people reach for rewriting buggy code they don't understand?

- Once a bug is fixed, it won’t come back again

Too many counter examples to this one in my lived experience.

- Every time you run the code, the same thing happens

Setting aside seeding PRNGs, there's the issue of running the code on different hardware. Or failing hardware.

- If you give specifications beforehand, you can get software that meets those specifications

I have never seen this work without needing to revise the specification during implementation.

> ALGOL-68 would later implement both of them but also be a curious dead end in language history; it would have little impact on modern programming languages.

I chuckled at this one because I consider most modern languages to be homomorphic to Algol-68.

Related classic about information asymmetry: https://danluu.com/hiring-lemons/

The inverse problem is here too:

> int partition_branchless(int* arr, int low, int high) {... for (int j = low; j < high; j++) { ... }... }

That for loop is just a sugared while loop which is just a sugared cmp and jmp

Not if you are a Basecamp employee who needs their job and disagrees with DHH.

Some Linux distros have gotten certified. I assume they have released necessary patches as required by GPL.

I use an old iPhone for work stuff.

I suspect you can do this with custom currencies and subaccounts

levels.fyi has this

Not in my understanding. The line between neurological and psychiatric is more about history than about anatomy.

Instead, I would point to the physical trauma of a concussion as the differentiating factor.