Viewing profile — WalterSear

Anthropic has stated that their inference process is cash positive. It would be very surprising if this wasn't the case for everyone. It's certainly an open question whether the pr…

Does your significant other know about your car collection? You may have a car hoarding problem.

You would have to make sure your search footprint supported that. IE - fully private, non-publicly-visible profiles everywhere.

Inference is cash positive: it's research that takes up all the money. So, if you can get ahold of enough users, the volume eventually works in your favour.

> starting to be demonstrably harmful Starting?

This isn't that. This is VCs FOMOing as global-economy-threatening levels of leverage are being bet on an AI transformation that, by even the most optimistic estimates, cannot achi…

What it's transformational but takes a decade or so, instead of a year or so? It's not like this isn't following exactly the same hype cycle as every other technological transforma…

VC isn't "getting back to it's roots", though it is certainly displaying one of it's fundamental drives: FOMO.

That too, is easier than ever. It's just work, there's no secrets to it.

IMHO, there's never been a better time to build your own product and learn to sell it. The effort that AI implementation requires is clearly exponential to complexity of the organi…

That was my first assumption, quite a while ago now.

I've claimed neither. I actually prefer restarting or rolling back quickly rather than trying to re-work suboptimal outputs - less chance of being rabbit holed. Just add what I've …

And I'm arguing that if the output wasn't sufficient, neither was your input. You could also be asking for too much in one go, though that's becoming less and less of a problem as …

I think maybe there's another step too - breaking the design up into small enough peices that the LLM can follow it, and you can understand the output.

My point is that, if I can do it right, others can too. If someone's LLM is outputing slop, they are obviously doing something different: I'm using the same LLMs. All the LLM hate …

9000-line PRs were never a good idea, have only been sufficiently plausible because we were forced to accept bad PR review practices. Coding was expensive and management beat us in…

If you are getting garbage out, you are asking it for too much at once. Don't ask for solutions - ask for implementations.

And if you are doing something fabulously unique, the LLM can still write all the code around it, likely help with many of the components, give you at least a first pass at tests, …

Our intelligence, yes. But that doesn't establish it as essential for thought.

They do, for many people. Perhaps you need to change your approach.

It's still a SAAS, with components that couldn't be replicated client-side, such as AI.

I have pretty much the same amount of confidence when I receive AI generated or non-AI generated code to review: my confidence is based on the person guiding the LLM, and their abi…