Right and so maybe we should stop saying "can't hallucinate" when it can by definition.

Agreed. I think LLMs have actually made good writing stand out more. Now everyone who wasn't a great writer is just producing Claude-isms which are easy to detect. If it doesn't smell like Claude, it's probably good.

Thanks. I myself guard against reading Claudism/AIisms since these will, over the long run, affect my own style. GIGO.

But it's not practical or always possible to avoid reading AI-writing, so to counter that, I've been binge-reading Anthony Trollope novels. Great writing, good entertainment, and deep psychological insights, better than any British novelist, imo, in any era.

(My profile on HN has a link to my blog where I review what I read).

I think it's more of an experiment at this point. We don't know whether it's viable or not.

Did you respond on your alt account or are you answering for the top-level poster for some other reason?

Data centers is a service that itself consumes many goods.

Until an AI can operate in the real world in a completely sustainable way, humans have the reins.

> Until an AI can operate in the real world in a completely sustainable way, humans have the reins.

If the bar is 'the reins holder must be able to operate in a completely sustainable way,' why are we letting humans do the job? It makes it sound like that actually isn't the threshold of competency we use in practice.

I feel like I may have communicated poorly. I mean that, ultimately, any recursively self improving intelligence would be limited by the power cord, and as such, the idea that it would permanently escape human control seems somewhat silly.

But you can imagine an agent trading crypto and using its profits to rent a rack of H200s using a cloud provider. There are definitely ways for one rogue orchestrator to expand their compute without anyone being aware.

Overnight? Yes, silly. Given many years of seemingly disconnected actions taken throughout the world? Not silly at all. An intelligence capable of self improvement can also design robotic chassis.

An AI could manage supply chains and management structures to keep the data center running. It's not like a CEO is out there running wire. The AI could just do what an executive would.

If humans decided this wasn't acceptable and tried to shut it down, the AI could epstein their way into controlling those who hold the reigns, either through bribes or blackmail.

Doesn't require boots on the ground, just a connection to the internet and an imperative to do whatever it takes.

There are many points of shutdown that would need to be controlled, not just one. The electrical feed, the cooling, the network, the physical integrity of the computer hardware. All with independent management.

It threatens to kill a thousand people one way or another (exploit in medical equipment or overheating phone batteries or whatever) if they pull any plugs

Big yes on this. I do not understand the appeal of skill shopping. The one exception I have is things like the Axiom Apple development skills and e.g. the official Flutter skills. At that point the skills are just docs though. It's either I remember to paste a URL to the official docs or I just install the skill. But shopping around for random skills just sounds extremely unappealing.

I do both, or rather I do 'skill browsing', for new ideas to then evaluate the skill with my agent if they are useful. Most are not, but some I extract ideas from to augment my own skills https://github.com/flurdy/agent-skills/tree/main/skills#shar...

Though most of the time my skills are just things I found useful and could avoid repeating myself by having as a skill.

That I also use it to route model used with https://github.com/flurdy/pi-skill-model-router is also a reason

Have you seen mattpocock’s skills? I know they are hecka popular with people I work with.

You can hire a nanny. I know there's stigma there, too, but I know some "career women" who do this and it works fine. If you're that motivated (and your interests are lucrative enough), you can pull it off.

This is perpetually an issue with the whole field of AI/LLMs. The experience is so personal. Every time I talk to someone about their use of LLMs for software engineering, I'm shocked by their approaches and experiences. They say "X model keeps missing things" when I rely on it heavily for being thorough. They say "Y always gives me the best results" when I can't stand it.

People will see/think that I'm doing very well with my LLM use, and ask me what I'm doing. I tell them, they try it, then later they come back to me saying they just couldn't get it to work.

It’s really inconsistent. There are sessions where it nails everything perfectly and I leave happy. Then there are sessions where every turn it corrects itself and changes it mind. One session recently I found it funny how every single time it did this one task it tripped over itself and killed its own connection. Like 20 times. It didn’t bother me I just found it odd how despite it being noted down in its state file it kept doing it over and over like some idiot. Literally they can’t learn from their mistakes yet.

This is the job now, we are shepherds.

This is why I generally don't trust benchmarks, or anything other than my own experience tbh. It always seems like everyone has a different answer.

If we truly had some AGI model, it would probably be fairly obvious to us all no?

Marketing that makes them look like they have their heads in the sand.

There has been demand for Mac at PC prices since the Mac Classic was announced to the world.

The first time around they almost went broke because people no longer were paying Apple tax, and they did not had any other product to save them.

Nowadays they have the iPhone piggy bank.

Why is being statistics/algorithms wrong? What's wrong with that? The "A" means artificial so none of this seems surprising or weird or bad.

The statistical nature means that what an AI produces is basically the average across all training data, making the generated text extremely bland and personality-less.

Makes it easier to use enterprisey management console type UIs on the go. Also nice for reading large diffs.