thelastparadise

I tried this but they just come back with retorts like "OK boomer" which tends to make the situation even worse.

How do you respond to that?

Is there any predictability/patterns for neuron/layer activation? If so, would it be reasonable to have a second tiny model that specifically tries to predict activation and preemptively swap those into memory?

> or interject

Clippy?

I (20+ years experience programmer) find it leads to a much higher quality output as I can now afford to do all the mundane, time-consuming housekeeping (refactors, more tests, making things testable).

E.g. let's say I'm working on a production thing and features/bugfixes accumulate and some file in the codebase starts to resemble spaghetti. The LLM can help me unfuck that way faster and get to a state of very clean code, across many files at once.

You're being pydantic =)

How about make it so you can smash the whole rack with a sledgehammer or datacenter burn down and system hums along like nothing happened.

You're treated lile a terrorist when you are a law abiding citizen.

Actual criminal? Society will bend over to accommodate you.

Your cynicism is commendable.

Why?

Yep it's just pure jank. Even Apple (especially post-Jobs) can produce jank.

This is a health/readiness probe in k8s. It's already solved quite solidly.

Why would I not just do k8s rollout restart deployment?

Or just switch my DNS or router between two backends?

I definitely trust PwC on matters of "culture."

> There are the telltale bullet points with bold starting words for example.

Is this where we're at now, really? Basic markdown formatting is a telltale sign that something was written by AI?

Can someone explain simply how these benchmarks work?

What exactly is a "failure rate" and how is it computed?

Is Jabber still around?

Why don't you download/run it and tell us what it is.

Reddit currently has 40,000 outage reports and climbing.

Another serious advantage of a tree search is parallelism.

Anyone try plugging this into an LLM for text -> 3d model generation?

It seems to have an inherent negativity bias?

> but for someone who can and does, the $20/month I pay for ChatGPT more than pays for itself.

Would you be willing to pay even more, if it meant you were getting proportionally more valuable answers?

E.g. $200/month or $2,000/month (assuming the $2,000/month gets into employee/intern/contractor level of results.)

This might drive a positive feedback loop.

Wait til you generate WolframAlpha queries from natural language using Claude 3.5 and use it to interpret results as well.

Barf me out too, indeed.

What did you say can you translate please.

Raise it up just one

Wouldn't this introduce new economics into the LLM market?

I.e. if the "thinking loop" budget is parameterized, users might pay more (much more) to spend more compute on a particular question/prompt.

Why not? Isn't that basically what humans do? Sit there and think for a while before answering, going down different branches/chains of thought?

Me very interested in this too.

Why do I find this so funny...