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One thing that fascinates me is that art wasn't always so tied to leftist, socialist or communist political views as it is right now There was lots of waves in history of art that promoted acceleration, ambition, futurism, technology and capitalism But in our current time I'd say about 80% of art is very left in spirit or created by artists with very leftist views, that sounds obvious to us now, but again that wasn't always the case! For example, Renaissance art was conservative and funded by the church, then Enlightenment art was about republican ideals, and Futurism and Art Deco were very accelerative (and to be fair, later adopted by nationalists and fascists in 1930s, not so good) But even with that said, I think it leaves space for people who believe in the future to help create or fund art that promotes those more positive values about society to inspire people to create a better future It is starting to happen a bit with people funding large statues again in America and trying to promote beautiful classical architecture again
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RT @ylecun: @slow_developer When pondering about the effects of technological revolutions on the labor market, listen to economists who hav…
Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
I wrote about this a while ago here and im still not sure if it’s fully the way to think about it but I feel like it’s more right than wrong https://t.co/FGBWhXiJUz
agents, harnesses, and evals @LangChainAI, prev @awscloud, phd cs @ temple
I may or may not be willing to die on this hill and maybe not even a hot take, but… 1. A LOT of the time, Agents should just be used as discovery mechanisms for workflows. True ASI is a perfect workflow generator for any Task 2. Like once my agent or my brain discovers a good workflow for my Task (ie. just a good series of steps that roughly works), the thing i almost always want is that straight up that workflow sprinkled in with ✨agenticness✨ to handle ambiguity (ie. the node may be an agent). Because then I get more reliability and I like that, and you prob do too 3. The vast majority of problems can be cast as workflows, but the UX of agents is way better. I just prompt the workflow in natural language like “do this, then do that, and then check this and go back to that…” 4. A lot of improvements in agent perf/reliability is basically just “workflowification” of agents enforcing upon them what steps to do and checking on that they do certain things in order. You may also call this “bringing your 🤌taste🤌/knowledge” to the problem basically this boils down to the fact that there’s a massive amount of useful economic work that isn’t open ended, it’s “roughly” some steps we need to follow so we should model the problem like that. Agents are THE way to handle truly open ended problems, but even then if you have some priors on that problem, workflow them in “But wait all you do is yap about agents?” 🤬 You right… Agents are fantastic “bridge nodes” at doing small, well scoped tasks. I think we all agree that agents rock at defined small tasks and are getting even better at medium tasks with no hand holding. This is coming from someone who sends Opus4.5 all day because the UX of agents is so good and that matters, not hating just saying what works well more often than not Agents are also fantastic at helping you discover the workflow, like sometimes you don’t even know what works well exactly so let them try stuff and then here’s the crazy thing…store that data, analyze it, and find out what works and make that more of a workflow cool so rant over, mostly an observation from seeing how reliability in agents often feels like workflowification and what that means for all of us building them
I wrote about this a while ago here and im still not sure if it’s fully the way to think about it but I feel like it’s more right than wrong https://t.co/FGBWhXiJUz
@badlogicgames´s blog post is 100% correct on the best agent possible (when you know what you are doing) but i understand why some need features like plan mode if i could build an agent for myself only though, there would be a lot less features https://t.co/joBD5j0hcN
codegen & vibe @mistralai, husband
Was actually very clever of China to buy Kuznetsov-class Riga and revamp it into Liaoning. The whole operation is a thriller, including the recurring "casino" cover story and the fact that the project almost fell apart. Very "scrappy underdog" energy, I thought burgers like it?
We're in a race. It's not USA vs China but humans and AGIs vs ape power centralization. @deepseek_ai stan #1, 2023–Deep Time «C’est la guerre.» ®1
