That's the reality from software development at scale, pretty soon no individual will know how everything works and you need high-level architecture overviews on the one side, and strict procedures, standards, tools, test suites etc on the other hand to make sure things keep working.

But the reality is that most of us will never work in anything that big. I think the biggest thing i've worked in was in the 500K LOC range tops.

This _might_ be true, but it's utterly absurd to claim this is a certainty.

The images rendered in a game need to accurately represent a very complex world state. Do we have any examples of Transformer based models doing something in this category? Can they do it in real-time?

I could absolutely see something like rendering a simplified and stylised version and getting Transformers to fill in details. That's kind of a direct evolution from the upscaling approach described here, but end to end rendering from game state is far less obvious.

The author is giving an account of his experience with LLMs. If those experiences were enough to thoroughly bias him against them, then that's hardly his fault. "Sensible middle ground" is what people appeal to when they are uncomfortable engaging with stark realities.

If someone told me that their Tesla's autopilot swerved them into a brick wall and they nearly died, I'm not going to say, "your newfound luddite bias is preventing you from seeking sensible middle ground. Surely there is no serious issue here." I'm going to say, "wow, that's fucked up. Maybe there's something deeply wrong with Tesla autopilot."

The way I look at this is that the Adam Smith-ian free market makes the implicit assumption that market information (pricing, quality) disseminates via neutral, unbiased channels. However, the fact that influencing those channels is itself a commodity that is available on the market, paradoxically affects the operation of the market adversely.

If supplier A has a product of quality Q at price P, and supplier B has a competing product of quality 1.2Q or 0.9P, all else being equal, we would expect B to prevail in the market, or at least gain a superior market share. However, if A's marketing budget is superior, a larger percentage of the market will hear about their product sooner, and will gain traction earlier. Since all businesses have finite viability, B may go out of business before the market has time to correct the distortion brought on by A's marketing.

There was no solution to this in Adam Smith's time, but we now have something that points to a solution: aggregated reviews/ratings from verified purchasers, indexed or curated in such a a way that is uniformley accessible and conveniently query-able to all market participants. In an environment where such a mechanism is universal, theoretically, there should be no benefit to marketing.

The "spreadsheet" example video is kind of funny: guy talks about how it normally takes him 4 to 8 hours to put together complicated, data-heavy reports. Now he fires off an agent request, goes to walk his dog, and comes back to a downloadable spreadsheet of dense data, which he pulls up and says "I think it got 98% of the information correct... I just needed to copy / paste a few things. If it can do 90 - 95% of the time consuming work, that will save you a ton of time"

It feels like either finding that 2% that's off (or dealing with 2% error) will be the time consuming part in a lot of cases. I mean, this is nothing new with LLMs, but as these use cases encourage users to input more complex tasks, that are more integrated with our personal data (and at times money, as hinted at by all the "do task X and buy me Y" examples), "almost right" seems like it has the potential to cause a lot of headaches. Especially when the 2% error is subtle and buried in step 3 of 46 of some complex agentic flow.

Don't just send me a random dump wiki dump. Give me actual racist things he said in 2016.

The left has been authoritarian. Rewind the clock to 2018, and speak your mind freely on a college campus and at some point you’ll say something that makes you lose your job. That’s one of many examples of the left being actually authoritarian.

I’m not saying two wrongs make a right and I’m not justifying the current administration. But if we look to how we got here, that’s a lot of why, if not mostly why.

Yeah 99% is sour grapes from the other team. I like what doge has turned up so far and will give them the benefit of the doubt. My wife is a long time liberal Democrat and even she admits the main problem is Musk is just doing out in the open what is usually done behind closed doors and people don’t like it.