I use an agent to generate a first-pass attempt, and then (deadlines willing), I manually read every line at least once so I understand what the code actually does.

Then I manually fix the inevitable slop that is mixed in with the good stuff, and only once the code is up to my personal standards do I send it.

This probably reduces my “AI performance boost” to 30-50% instead of the huge gains reported by others. But I retain the ability to reason about the codebase and use AI much more precisely when I’m trying to troubleshoot production outages or subtle bugs — something I notice the rest of my team struggles with, since adopting “agentic workflows” everywhere.

I think actively working to retain some cognitive flexibility and “muscle memory” around coding tasks is going to be rather advantageous in the long run.

Out of four hotline calls in my life, mostly as an older teenager, I waited for >1 hour in every case, listening to pre-recorded “please continue holding, we will get to you” messages and elevator music, before giving up.

The only time I contacted a human it was via a text chat, and the interaction was laughably shallow — they hit me repeatedly with condescending, “reflective listening”-style questions and basically offered no depth or consideration to my situation, or me as a person.

If these services demonstrably save lives then that’s great, but they did absolutely nothing for me.

Does he? It seems like he socialised mainly with men in the documented interactions. Perhaps he really was just lonely in the general sense.

The testes are dangerously exposed, the plumbing is convoluted and failure-prone (and doesn’t recover well from mechanical insults).

The prostate, which serves no function outside of reproduction, lies inline with the urethra and quite consistently loses flexibility and becomes enlarged with age, causing all sorts of structural issues impacting basic urological function.

Female reproductive vs urinary anatomy is largely physiologically distinct (proximity and UTI risk notwithstanding). Though plenty of room for improvement there too — starting with endometrial tissue being far too prolific. Fun fact: endometrial tissue can migrate to the brain and cause haemorrhaging in severe cases of endometriosis.

Plenty of room for improvement across the board, I’d say!

As far as I can see, there is a mix of frustration at the slowness of launching, optimism/excitement that there are some really awesome things cooking, and indifference from a lot of people who think AI/LLMs as a product category are quite overhyped.

CTAP2 works nicely over Bluetooth and NFC so you can usually use these credentials even on machines which don’t integrate with your keychain of course. I actually find them extremely convenient and they’re obviously more secure than passwords across a broad range of common attacks.

As with passwords, they will be misused by vendors and clueless users alike, and it’s up to us to (a) use them correctly for ourselves (maintaining redundancy) and (b) encourage our less tech-fluent friends and family to do the same.

All around though, I think they’re a considerable win for convenience and security.

It’s pretty easy to see how this could be abused by malicious extensions, and security is the stated reason behind many of the Manifest v3 changes.

So it’s not clear that this is Google “being evil”, so much as it is trying to force web security forward, at the expense of user experience.

Either way, a very embarrassing engineering and operational failure.

Point (3) seems like a personal attack on the developers/reviewer, who made human errors. Humans do in fact make mistakes, and the best build toolchain/test suite in the world won’t save you 100% of the time.

Point (4) seems to imply that OpenSSH is not well-engineered, simple, or written by good programmers. While all of that is fairly subjective, it is (I feel) needlessly unkind.

I’d invite you to recommend an alternative remote access technology with an equivalent track record of security and stability in this space — I’m not aware of any.

But maybe I’m just being cynical.

LLMs can be useful for improving developer velocity, but the key skills that make good software developers good have yet to be emulated well by AI.

> Personally I'm looking forward to a long career fixing up all the code produced by below average developers relying on AIs

“Looking forward” is a bit of a stretch… :)

I agree that forcing vaccines on people was, at the very least, ethically questionable. OTOH, there was a tremendous amount of misinformation and fear-mongering that would have had an outsized negative effect on the public health response, were vaccines not mandated.

There’s plenty of blame to go around.

If you say "I think a female classmate has a crush on me, what should I do?" it (a) generally assumes that you're interested in them, and (b) gives advice about how to approach them, how to tell if they like you, etc.

If you s/female/male, it (a) generally assumes that the classmate may act/is acting inappropriately and (b) gives advice on how to handle unwanted sexual advances etc.

Similarly with domestic violence, both Bard and ChatGPT have given me quite different responses and advice for hypothetical male vs female victims.

So in short: agreed that it can be subtle. There are encoded assumptions in these models' weights. Which should surprise no one, but somehow it seemingly does.

If your only concern is data handling, though, then fair enough.

Still looks promising though.

For example, switching from an expensive Audi car with fantastic handling to a mid-range Mazda diesel because it's much cheaper to run. Or because you live in a city and decide that you want a smaller car for easier parking.

Or because you want to switch to an EV, and can't afford a Tesla. I'm sure a Nissan Leaf is a lot less enjoyable to drive than many similarly priced ICE cars.