561–570 of 655 posts
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they have four trillion dollars buddy they'll be okay.
These are exactly the kind of companies that have enough data and analysis to avoid bleeding money.
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That's the unfortunate outcome of running a business at scale.
Google has bad governance, same with many other big businesses in the tech related sector partially because of the extremely generous position founders were in during the 00s and interest rates. In industries with lower margins like chemical/material industry you don't get away with this because managers in these industries are way better at telling value from non-value. There's been activist investors ( e.g. Christo…
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Id say it improved until about 2016, since then the additions have generally made the software worse. More overlays and popups More needlessly verbose navigation instructions Less predictable routes. Thats just the start
"needlessly verbose navigation instructions" You ever try to navigate the highway systems in either DC or Houston with verbal instructions enabled? It sounds like someone is having a stroke.
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Computer Science is the science of solving (hard) problems in general. If you automate CS, you trivially automate most of other professions. The only ones that won't budge are the regulated ones like lawyers, MDs and similar that have ways to prevent AI from wrecking their fields. Product/Project PMs are easy pickings. We'll also see wreckage coming to highly paid actors in the near future.
> We'll also see wreckage coming to highly paid actors in the near future. How is that going to work? People going to see a movie advertised as starring a well-known actor will be lured to see a movie starring unknown AI models?
Well paid engineers compare their experience to a labour death camp just confirms how out of touch they are.
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Google has bad governance, same with many other big businesses in the tech related sector partially because of the extremely generous position founders were in during the 00s and interest rates. In industries with lower margins like chemical/material industry you don't get away with this because managers in these industries are way better at telling value from non-value. There's been activist investors ( e.g. Christo…
The 2000s were a startup winter after the dotcom bubble burst. In those days you were extremely lucky if you could raise over $100k in funding and in revenue $100m was the ultimate fantasy. ZIRP was the 2010s
I think the gloating in this thread is very misguided. Meta is evil, sure, but that's not the point. The point is that this kind of AI psychosis might be the new normal for our industry, or at least one of the new normals. My last workplace absolutely did a jump in toxicity when the CEO got obsessed with AI, instituted token leaderboards, told us all to drop all non-AI work for a time, etc. We were no Meta.
So I worked for a year and a half at an AI startup that was way ahead of the curve on leveraging LLM's and other generative models. Like way ahead. I lost my job there months ago, but I can tell you that the AI psychosis is real and I watched it before a lot of the rest of the world. Maybe the CEO was always like this, but he went from being a likable, and liked person, to a fucking maniac. Multiple people who had wo…
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Google has bad governance, same with many other big businesses in the tech related sector partially because of the extremely generous position founders were in during the 00s and interest rates. In industries with lower margins like chemical/material industry you don't get away with this because managers in these industries are way better at telling value from non-value. There's been activist investors ( e.g. Christo…
The 2000s were a startup winter after the dotcom bubble burst. In those days you were extremely lucky if you could raise over $100k in funding and in revenue $100m was the ultimate fantasy. ZIRP was the 2010s
I think the gloating in this thread is very misguided. Meta is evil, sure, but that's not the point. The point is that this kind of AI psychosis might be the new normal for our industry, or at least one of the new normals. My last workplace absolutely did a jump in toxicity when the CEO got obsessed with AI, instituted token leaderboards, told us all to drop all non-AI work for a time, etc. We were no Meta.
> AI psychosis might be the new normal for our industry I've been fortunate enough to have worked on multiple AI intensive engineering teams (both on the product and research side) where considerable effort was spent reasoning through how AI was changing things and we were consistently evolving our practices. But they've all been orgs with 50 people less. AI psychosis seems to effect very large tech orgs in a differe…