461–470 of 722 posts
Gemini has always felt like someone who was book smart to me. It knows a lot of things. But if you ask it do anything that is offscript it completely falls apart
I strongly suspect there's a major component of this type of experience being that people develop a way of talking to a particular LLM that's very efficient and works well for them with it, but is in many respects non-transferable to rival models. For instance, in my experience, OpenAI models are remarkably worse than Google models in basically any criterion I could imagine; however, I've spent most of my time using…
So what happens if the AI companies can't make money? I see more and more advances and breakthrough but they are taking in debt and no revenue in sight. I seem to understand debt is very bad here since they could just sell more shares, but aren't (either valuation is stretched or no buyers). Just a recession? Something else? Aren't they very very big to fall? Edit0: Revenue isn't the right word, profit is more correc…
AI will kill SaaS moats and thus revenue. Anyone can build new SaaS quickly. Lots of competition will lead to marginal profits. AI will kill advertising. Whatever sits at the top "pane of glass" will be able to filter ads out. Personal agents and bots will filter ads out. AI will kill social media. The internet will fill with spam. AI models will become commodity. Unless singularity, no frontier model will stay in th…
Based on current laws, does this even have to be disclosed? Will laws be passed to require disclosure?
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Isn’t there? I mean, Claude code has been my biggest usecase and it basically one shots everything now
Yes, LLMs have become extremely good at coding (not software engineer though). But try using them for anything original that cannot be adapted from GitHub and Stack Overflow. I haven't seen much improvement at all at such tasks.
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Are humans 100%?
If they are knowledgeable enough and pay attention, yes. Also, if they are given enough time for the task. But the idea of automation is to make a lot fewer mistakes than a human, not just to do things faster and worse.
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Google privacy cred is ... excellent? The worst data breach I know of them having was a flaw that allowed access to names and emails of 500k users.
Their SECURITY cred is fantastic. Privacy, not so much. How many hundreds of millions have they been fined for “incognito mode” in chrome being a blatant lie?
In a world where Android vulnerabilities and exploits don't exist
So what happens if the AI companies can't make money? I see more and more advances and breakthrough but they are taking in debt and no revenue in sight. I seem to understand debt is very bad here since they could just sell more shares, but aren't (either valuation is stretched or no buyers). Just a recession? Something else? Aren't they very very big to fall? Edit0: Revenue isn't the right word, profit is more correc…
AI will kill SaaS moats and thus revenue. Anyone can build new SaaS quickly. Lots of competition will lead to marginal profits. AI will kill advertising. Whatever sits at the top "pane of glass" will be able to filter ads out. Personal agents and bots will filter ads out. AI will kill social media. The internet will fill with spam. AI models will become commodity. Unless singularity, no frontier model will stay in th…
I'm LLM-positive but for me this is a stretch. Seeing it pop up all over media in the past couple weeks also makes me suspect astrofurfing. Like a few years back when there were a zillion articles saying voice search was the future and nobody used regular web search any more.
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Gemini is completely unusable in VS Code. It's rated 2/5 stars, pathetic: https://marketplace.visualstudio.com/items?itemName=Google.g... Requests regularly time out, the whole window freezes, it gets stuck in schizophrenic loops, edits cannot be reverted and more. It doesn't even come close to Claude or ChatGPT.
Smart idea to say anything against Google here from a throwaway account, I'm sitting in negative karma for that :')
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And after i do that, how do i combine the output of 1000 subagents into one output? (Im not being snarky here, i think it's a nontrivial problem)
The idea is that each subagent is focused on a specific part of the problem and can use its entire context window for a more focused subtask than the overall one. So ideally the results arent conflicting, they are complimentary. And you just have a system that merges them.. likely another agent.