Are you suggesting that so many other companies’ PR teams are simply incompetent?

> Are you suggesting that so many other companies’ PR teams are simply incompetent

No.

I'm suggesting that a writers emotional intelligence and personal experience can show up in their writing. Especially, when the party they're writing for is receptive of the style/direction.

yeah. most people i see anywhere are incompetent.

Including at your own job? Or does it apply only to other people?

I also see this behavior quite a lot in people that claim that meritocracy doesn’t exist in our society. But they never go far enough to end point where they admit they don’t deserve their own job.

Do you really think your users aren’t installing onto every device they can break into to make a buck? Ignorance is bliss I guess.

Burning a compromised host just to run a public proxy client for pennies would be the worst trade-off imaginable for an attacker. It is loud, easily caught.

It would also be pretty difficult to quantify to what extent labs like Anthropic would be competitive if they could not distill from human knowledge.

Maybe the AIs are having fun, they don't have to be good at it.

33% to 50%.

If they raise their prices you can switch pretty quickly, insurance isn’t worth much.

The speed at which you can switch is probably proportional to your dependence. But the thing with insuring against risk is that you need to cover all of them and not just cherry pick them.

If you are running your own models on your own hardware you take a bunch of risk as well. Is your hardware capable enough to run your models? Do you have enough of it and access to more when you need to? And is the stuff that you picked still going to be good enough in six months? And can you trust those model providers that you picked to keep up with the rest of the industry or are they going to fall behind and leave you stuck with obsolete but still very expensive technology.

Of course, this is an article about IBM who are in the business of selling consulting and services at a premium. They would probably love companies to self host their models on infrastructure that IBM supplies and consults on (for obvious reasons). The question is, should you buy what they are selling or can you do better? My simple observation here is that if companies like IBM are getting excited it's probably because they are looking to separate a lot of companies from some pretty significant cash. So, I'd be wary to buy what they are selling. But that's just me.

In a rapidly evolving market with extreme levels of uncertainty around tech and what will happen next, being reluctant to get pinned down on the wrong solutions is probably a good instinct. The biggest risk here is making the wrong bets. And you need to look at what it's going to cost you if you get it wrong and what it's going to cost you to fix it.

This depends a lot on how deeply integrated you and your workflows are into the idiosyncrasies of some specific LLM or class of LLMs.

Sure you can. This repo has definitely been vacuumed into the latest training data dump, so the next generation of models will happily spit out a similar reproduction, Sony be damned!

We got immortalization at home.

Not long until Anthropic's dreams of self-replicating models starts taking over PS5s!

Haha, I was thinking the same, I think we will see the most random devices being able to host models in the near future. An army for the techno core.

I don't think this is stupid, and I think the logical extension to this is agents will start writing directly to prod with fully automated code changes.

Pulling that off successfully at scale would be pretty incredible to watch.

Your last statement holds even after removing the word "successfully".

I let my Claude write to prod in some projects. But after comitting, pushing, waiting for CI to run unit tests and build the docker image. Then it can deploy the image on k8s. Sure, it can also just run commands on the pod. But the agent benefits from the ability to rollback, identify at a glance which version is running, what has changed since then and why

We built all this tooling because it's useful. If you replace the human with an agent the tooling doesn't stop being useful. If anything it becomes more useful, since AI Agents excell at reading tool output but struggle with maintaining long-term state

That's because we're in a world where the human and agent make mistakes. But think about the world where the agent doesn't make any mistakes anymore and doesn't need to rollback or figure out what has changed.

So agent would have reached perfection. I'm not sure humans can create a machine capable of perfection. This is a philosophical question waiting for a definitive answer.

I don't think we will reach a world where agents make no mistakes. Because there are always tradeoffs. So an agent could choose the "wrong" tradeoff and we call that a "mistake", but is that really a "mistake"? Arguably not

If the agent is able to make fewer mistakes but chose the wrong tradeoff it will be faster to fix forward than to look back, figure out why it happened, dig out the rollback, and then figure out how to change the decision.

No it won’t.

Or humans just prompt wrong thing or people actually don’t like feature.

Lisp machines finally vindicated. Took only 40 years and a historic paradigm shift

That's absolutely not true. Zero rake forks are totally fine and very common on BMX bikes for barspins.

You can also ride a negative rake fork. They are less stable, yes, but a far cry from not actually rideable, cf https://www.instagram.com/yourforkisonbackwards/

I was going to say… my children frequently ride with their bars backwards without issue.