291–300 of 392 posts
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What people seem to miss is that they don't need to get the investment back from people, they will get it from machines.
Could you explain how you think that's going to work? Because to me it seems that until machines have bank accounts, there's no money for them to get.
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"Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting." - Hacker News Guidelines https://news.ycombinator.com/newsguidelines.html
Such complaints are valid for AI model releases, that tells us that they are not using their own models to test their own release pages.
I don't get the comments trashing this. If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company. Sure, they spent a lot of money and will have on-going costs. But how much more work would it take to turn that into a coding agent people are willing to try (and pay for) along side their usage of a collection of agents (Claude, Codex, etc)? Also…
Why go into coding agents? Both anthropic and OpenAI are going all in on that. The opportunity is customer facing AI now. OpenAI has the mindshare but they going to have to decide if they allocate their limited compute for free users or go all in trying to keep up with Anthropic in enterprise.
Pelicans: https://simonwillison.net/2026/Apr/8/muse-spark/ I also had a poke around with the tools exposed on https://meta.ai/ - they're pretty cool, there's a Code Interpreter Python container thing now and they also have an image analysis tool called "container.visual_grounding" which is a lot of fun.
Alexandr Wang suggesting this might be open-weights/source in the future gives me hope. Hopefully they stay on this path.
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Nah. Everybody is talking about ai. Everybody is using it. It's by far the most popular new tool human beings are using currently. As popular as mobile phones or spoons. And maybe as disruptive as the steam engines. AI companies are becoming the largest software companies on the planet. Everything points into that direction. Trillions of dollars are waiting in the market to be collected.
Based on what? A lot of this is vibes and FOMO; just like any economic bubble. There is no objective evidence of anything you’ve said. It isn’t even clear if AI has contributed positively to global economic growth. It reminds me a lot of the late 90s and the dot-com mania. Slapping a domain on a commercial would make your stock go up even if there was no substance to any of it. The real shame is this mania drowns out…
You're in a bubble.
https://www.helpnetsecurity.com/2026/04/07/google-llm-conten...
Pelicans: https://simonwillison.net/2026/Apr/8/muse-spark/ I also had a poke around with the tools exposed on https://meta.ai/ - they're pretty cool, there's a Code Interpreter Python container thing now and they also have an image analysis tool called "container.visual_grounding" which is a lot of fun.
I guess I will have to wait. I hope at least soon it will be available on Openrouter. Overall, I am really excited to try it out.
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Could you explain how you think that's going to work? Because to me it seems that until machines have bank accounts, there's no money for them to get.
Not the parent, but I guess that if AGI happened and was competent enough to trade markets, they'd earn the company back their investment in a short period.
I don't get the comments trashing this. If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company. Sure, they spent a lot of money and will have on-going costs. But how much more work would it take to turn that into a coding agent people are willing to try (and pay for) along side their usage of a collection of agents (Claude, Codex, etc)? Also…
Why go into coding agents? Both anthropic and OpenAI are going all in on that. The opportunity is customer facing AI now. OpenAI has the mindshare but they going to have to decide if they allocate their limited compute for free users or go all in trying to keep up with Anthropic in enterprise.
I don't get the comments trashing this. If it slightly beats or even matches Opus 4.6, it means Meta is capable of building a model competitive with the leading AI company. Sure, they spent a lot of money and will have on-going costs. But how much more work would it take to turn that into a coding agent people are willing to try (and pay for) along side their usage of a collection of agents (Claude, Codex, etc)? Also…
> I don't get the comments trashing this. People like to hate on Meta regardless of anything, and regardless of whether it's justified or not. Not saying it isn't, just that it's many people's default bias.