Feed algorithms are far from sorting videos only by strict decreasing order of trending factor. One example of that is that feeds are randomized: refresh the page, it changes completely. Another example is how it optimizes for bait content.
This is the absolutely horrific next stage for social media platforms:
- They're already well able to surface the most addictive short video for a specific user out of millions of real videos.
- But these millions of real videos are just darts thrown into the space of "videos that could hook the user", in the end even the best-selected of them is not perfect.
- Now, behold! AI allows to generate the perfect video to surgically hit all the switches in the viewer's brain and turn it into a zombie hooked for days on end.
Let's hope our regulations hit these "social networks" hard enough so that never dare deploy this kind of technology.
Garry Tan's point still stands: he never pretended to be building nice software. But his point was that he can now build AT ALL! Shipping a webpage at all is the firs step ; making it load under 7 Mo is just a refinement, an important one of course (who tf wants bloated webpages) but still only a refinement. Tan is right to be amazed and to be shipping.
There's no question to me, after trying both, that Fable is much better than GLM-5.2 when left alone in front of hard coding tasks
Now maybe what plateaus is the human collaboration efficiency, because at some point it will be bottlenecked by the human
Thus companies who still try to have humans perform intertwined work with their AI won't see an improvement, while the ones who fin the right conditions to give their AI more free rein will see it.
Kind of like it's no use having a workhorse pull a combine harvester : at some point, when machines reach sufficient efficiency, you just give wheels to the harvester and let it run.
"United Launch Alliance (ULA) is an American launch service provider formed in December 2006 as a joint venture between Lockheed Martin Space and Boeing Defense, Space & Security."
With what would I be coping? I'd much prefer (probably like most people) if AI were not that powerful. The harsh reality, and the stuff of cope, is that it's (too) powerful.
This contrast is a bit sad.
When Eric Schmidt told students the truth about the importance that AI will take in the future ("It will touch every profession, every lab..."), students booked him
But the takes like "AI is not real/powerful, human intelligence is better", which are basically pleasant myopic lies, are cheered. Cope bias is powerful.
> And what was your contribution to those achievements to justify this pride?
Of course personal contribution is a factor of pride, and arguably the most justified one.
But it's far from the only one.
- fan clubs
- a child marvelling on how strong/cool their parents are
- US citizens on 4th of July (I'm not American btw)
All of these contributed ~nothing in the phenomenon; their pride comes from the wonders worked by the group they belong to. One does not need to _earn_ pride.
Think it the other way : if you don't think legitimate for the receivers of wonders to feel pride, think of it from the side of the providers of wonders. Parents who toiled for their children, great statespeople who worked hard to improve their country: they intentionally directed their efforts towards someone (descendants, citizens). I think pride is sort of gratitude of receivers for the fruits of a common group's efforts. And it's completely justified IMO to feel un-earned pride.
Looks like the author wants to put on trial all of Railway, Cursor, and even their LLM.
At some point, the responsibility for approving actions made by autoregressive token generations has to belong to the person heading the engineering org... that's you, author.
The current problem that I often have is that I want to work on several things in parallel through several agents, always forget to do worktrees, then the different branches of work tend to step on each other
Does JJ make it simpler?