kgdiem

My agent / skill files always tell it to trust neither the code or the test and to reason about the test failure which seems to work pretty well.

In another project without my rules I’ve noticed I have to tell it to set up data for playwright tests instead of skipping if none exists.

If I was building this in a system design interview I would use whisper, NLP, and “classic ML” classifiers with deterministic results. I would not want an LLM in the loop at all. Facebook and Google have been able to target you better than you could even perceive for years.

LLMs are slow, expensive and inconsistent. More importantly It’s not the right tool for the job.

Really feels like more “oohhh look at how important and scary LLMs are”.

*edit* PS, my company does marketing, communication and trade surveillance for FINRA registered broker dealer firms. If the CCO or anyone else with admin access wanted to monitor for someone talking badly about them they absolutely could update their list. No LLMs in the loop, very scalable, affordable, auditable and reliable. LLMs are just an interface not a solution for analysis.

Fair. Didn’t think the DoW did much R&D or manufacturing. Would think the standoff would be with Anduril, Northrop, Boeing, Booze, etc.

Genuine question, how could Claude have been used for the military action in Venezuela and how could ChatGPT be used for autonomous weapons? Are they arguing about staffers being able to use an LLM to write an email or translate from Arabic to English?

There are far more boring, faster, commodified “AI” systems that I can see as being helpful in autonomous weapons or military operations like image recognition and transcription. Is OpenAI going to resell whisper for a billion dollars?

I saw this on Reddit last night. I shared the results of this prompt with my cofounder, he replied in kind.

I thought this was an interesting concept. It feels a little dystopian in a corporate context but much less so in an early stage startup.

I feel the same way often but I find it to be very similar to coding. Whether coding or prompting when I’m doing rote, boring work I find it tedious. When I am solving a hard problem or designing something interesting I am engaged.

My app is fairly mature with well established patterns, etc. When I’m adding “just CRUD” as part of a feature it’s very tedious to prompt agents, reviewing code, rinse & repeat. Were I actually writing the code by hand I would probably be less productive and just as bored/unsatisfied.

I spent a decent amount of time today designing a very robust bulk upload API (compliance fintech, lots of considerations to be had) for customers who can’t do a batch job. When it was finished I was very pleased with the result and had performance tests and everything.

I agree with you in spirit but most people in the US look at college like job training. It’s literally advertised as job training on TV, buses and billboards. Teachers, parents, and media have long been seen as “the way” to get a job.

One of the most disappointing things about college was how little people cared about the liberal arts aspect, where humanities courses were an annoying box to tick.

Doesn’t this imply that a transformer or NN could fill in details more efficiently than traditional techniques?

I’m really curious why this would be preferable for a AAA studio game outside of potential cost savings. Also imagine it’d come at the cost of deterministic output / consistency in visuals.

I generated a script today to diff 2 CSVs into a Venn diagram, ran it twice, then deleted the code.

Here’s something WiLd and crazy — “in town” or “in range” delivery used to be free in major urban areas, and you’d tip the delivery driver $2-5.

Snowflake does revenue sharing, it’s possible that AI providers can start doing that too.

Totally makes sense! Thanks for the thoughtful answer.

> ETA: we are looking for evolutionary biologists. Not many entrepreneurial personalities here, more like a lot of bird watchers

In this case I’m sure that I’d be tempted to come to Norway and learn how ø is pronounced.

I see your point and it is similar when you consider a profitable company but think it is different from startup equity because you are raising capital you’re assigning a speculative dollar amount to build the business.

Gotcha! I did a 2 second google to illustrate what I was trying to ask in my original question about someone trying to recruit researchers. I did a ChatGPT query to see what my hypothetical would be and it quoted ~$44,880 USD, not taking it as gospel though.

I have worked at startups and got some worthless equity. I've also launched some (small) things on my own and am very interested in building large things, raising some money, etc.

Given OOP is actively recruiting I'm really just curious how this could effect your/their/someone in or interested in Norway's thinking when they could go anywhere in the EU or from TFA, remain in the US.