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however the result (excel/spreadsheet) looks different each time you run it. Which is annoying when you run it at the end of each month.
btw: this is not surprising when you look at the low details the skills have.
Will the big labs leave anything for external competition? This probably killed a thousand startups in this space. in the early internet you wouldn't see google creating their own news site or facebook building their own animal farm. what happened to platformication of everything?
But Google did move into a lot of spaces: maps, mail, docs, etc.
Making the most convoluted and idiotic insurance process on earth and then delegating that process onto an AI that requires huge buzzing data centers.. Is there an option to respawn in the non-clown world universe? It was funny at first but it gets tiring eventually.
What does a better insurance process look like? Outside of health insurance, which is complicated for a variety of reasons, most insurance is pretty easy to procure. I got an umbrella policy recently and it took about 30 minutes of talking with an agent and answering pretty reasonable questions.
2. I’m almost certainly talking about health insurance, made obvious by you even mentioning that. There’s a HN guideline about discussing in good faith.
3. I find it humorous you hand-wave away our inhuman healthcare system as “for a variety of reasons”.
4. I see your career is in hedge funds, defense, and big tech. Best of luck ;)
Will the big labs leave anything for external competition? This probably killed a thousand startups in this space. in the early internet you wouldn't see google creating their own news site or facebook building their own animal farm. what happened to platformication of everything?
History suggests otherwise. railroads, telecoms, search all consolidated. The natural equilibrium for transformative infrastructure is winner take all. AGI/ASI won’t be different but will be nearly every vertical and governments will legislate too little too late.
For those in the finance space, are you actually seeing any real AI tools being used? Like for actual operational tasks? I've really only seen it used for research / exploration thus far. Either for economic research slide deck or for exploring trading hypothesis
> I've really only seen it used for research / exploration thus far
Summaries and translation for sure.
Speaking with devs in the field I know that AI tools are used to summarize and extract data from... PDFs. Now, thankfully, LLMs got better at answering "How many 'r' in 'strawberry" and it looks like they're good enough for summarizing PDFs and extracting key numbers but I'd still be cautious.
And I've got a friend who's a translator specifically for financial documents: she's a contractor and getting about 1/10th of the work (and 1/10th of the pay) she used to have for now she's only tasked to verify that the translations are correct. Of course she already had lots of tools, way before he LLM era, automating some of her work but she was still billing he use of those tools. Now LLMs are doing nearly all the work and not "for her": it's happening upstream and she only gets the output of the LLMs and has to verify them. And there aren't that many errors.
For those in the finance space, are you actually seeing any real AI tools being used? Like for actual operational tasks? I've really only seen it used for research / exploration thus far. Either for economic research slide deck or for exploring trading hypothesis
It feels like juggling pipe bombs and I have a ton of empathy for the teams being pressured by the business to roll them out with no appreciation for the regulatory rat's nest that ensues.
Earlier quoted context omitted.
local models are going to win and therefore the hardware providers, Apple and nvidia. There isn't going to be any moat for the hosted providers besides hardware scale. They can run your request on shared 1TB memory hardware, or whatever. But local hardware is going to catch up, the hosted providers are going to become commoditized, and the costs are just going to be compute whether its your hardware or theirs. And yo…
Local hardware catching up doesn’t matter if the thing worth having never leaves the building. Enterprise services are hard, moat is in distribution and know how.
Not sure what you're referring to, the models?
Earlier quoted context omitted.
I find all of these .md files released by the labs to be ai generated slop. The only exception being maybe the /simplify command
No surprise there. Of course the skill files are not human written. The AI is an expert in both following and generating prompts.