@tleilax___@weaponizedFOMO it is actually possible to get even more precise residuals much faster and with less memory. when you figure it out, don't reveal our sauce.
this is good, actually. being a founder should’ve never become as high status as it is. it’s supposed to be a weird, slightly bad decision you keep making anyway.
lol Block/Square stock is up like 20% on laying off 40% of their headcount while growing and profitable.
The Faustian bargain that big tech made with society was by creating a nuevoaristocracy of laptop-class landed gentry, their founders and shareholders were allowed to become wealthy beyond all imagination with little government intervention past slaps on the wrist.
Google could cut 90% of the headcount and generate 90% of the revenue. But when this deal is broken, the displaced Baron’s will demand their own Magna Carta - tech leaders are too politically myopic to see this and so the more likely outcome is one of revolution. A rising of modern sans-culottes currently kept busy by the bread and circus’ of Doordash and TikTok but rallied to action by these displaced elites.
AI may be the excuse but this has always been an option. Salesforce employs 75,000 people. Including Matthew McConnaughey on over $1,000,000.00 a year. Most of this headcount can hit the road - Covid proved many jobs are ritualistic button pressing exercises in a circular loop of keep up appearances financed by a need for elite docility.
AI’s biggest disruption may be giving people the ‘excuse’ to finally break this pact. But I assure you the Maximilien Robespierre of today is not a puffed up perfumed Frenchmun. He’s a forty year old Stanford educated father of 4 who contributed to the Review about to lose his director role in Big Tech and enter the worst job market since the financial crisis. He will likely be equally as unforgiving if executives are not careful about how they carry themselves and their decisions in this coming shift.
cursor's new web app feels like what a post abundant society should feel like. @mntruell serves functionally performant elegance while the altman and amodeis continue to force feed us tui scraps... I'm sick
@darrenangle was playing with this today for this very reason, and imo we're mostly there. not shown below, but mini-max and mistral outperform tremendously with a harness. they'll get a lot more praise when people realize agents at scale is more than just setting up the responses api.
@neogoose_btw very excited to see this. i have a native zig tensor, autograd transformer triad so this is huge. this is a one-shot result with no optimizations. def worth it in repos with massive trees.
another reason why agents in pvp finance domains are very hard: every var affecting a session is impt.
if u miss one, even for 1s, someone takes ur lunch. in my exp, 50gb data per 1h session needed to make x profit with y principal.
and economic model needs to be baked in.
Poor man's continuous learning: How to make agents better without fine-tuning or retraining.
Over the last few months, I've been using a simple pattern that's made my agents noticeably more reliable and useful. It's also been the most fun I've had building in a while.
i uhh... think i snapped this photo of Cardinal Robert Francis... now known as Pope Leo XIV... standing in front of my hotel on Tuesday. can anyone help confirm?
@harptheflarp@MarediaShehzan@lava_xyz shehzan, you sure you can handle the dual ceo/cto role?
downloaded lava again and found more of my money. just withdrew it.
it's ok to have a bad product with good customer service, or vice versa, but not both.
wish you guys luck!
@harptheflarp@MarediaShehzan@lava_xyz like i said, it's not about the bugginess. that is 100% forgivable.
it's about the responsiveness of the team when it's a *new* product and the customer is trusting you with large amounts of money.
up until now, weeks later, you are the only person that responded.