The naive expectation is that AI will slow down b/c Moore's law is coming to an end, but if you really think about the models and how they are currently implemented in silicon, they are still inefficient as hell.

At some point someone will build a tensor processing chip that replaces all the digital matmuls with analogue logamp matmuls, or some breakthrough in memristors will start breaking down the barrier between memory and compute.

With the right level of research funding in hardware, the ceiling for AI can be very high.

Later I saw him in real life give a talk at Cornell University with his old friend geneticist Andy Clark on the human genome. Dude was larger than life, tall, and bald.

A few years later, I moved to San Diego, and got into surfing. Was reading a surfing website, and boom, Craig Venter pops up in an ad for luxury watches! Sailing in the ocean and rocking a Jaeger-LeCoultre watch that was probably worth more than my grad stipend at the time..

A few years after that and I interviewed at one of his companies, Synthetic Genomics. The bioinformatics team had their heads spinning from the number of pivots the company had been doing. They had gone from biofuel production to working on genetically engineering pigs to produce kidneys that could be donated to humans. Lo and behold, within a few years, someone got the idea to actually work.

Basically Venter and his accomplishments have been the background to my entire adult career in biology, genetics, bioinformatics and machine learning.

RIP Craig Venter! Sometimes to get great science to happen you need larger than life personalities!

Artillery is still queen of the battlefield regardless of what highlight reels from r/CombatFootage would have you believe.

The big catastrope for valuations is if supply outruns demand. Videogen has not reached the expected traction and profitability, so now we're talking about 1000x code output as a success metric. But that's not quite the same thing as solving 1000x the number of user problems.

If anything these huge codebases are just creating new problems and atrophying from context rot due to the sheer amount of noise.

The BSP tree was also extremely useful for optimizing netcode for games like Quake 3 Arena and games within that family and time period I believe.

Just played Fallout 2, and there's still unpatched game breaking bugs in there.

This is the exception not the rule however. If there's one unifying thing about games that succeed despite major issues with the code its that the developers tend to have extensive experience playing board games and can make a compelling gaming experience without having a game with all the bells and whistles.

Let's face it Y combinator is mostly AI startups for the next few years, and any anti-AI sentiment is going to hurt the bottom line.

That being said, I disagree with Sanders on a number of points. He wants to stop data center construction. Can't think of a more luddite un-nuanced solution to the "problem"

The real AI danger is not the threat to white collar jobs (which will simply have to evolve), but something we will see roughly 18 months now when Joe Schmo asks Claude Giga Max Supreme 8.0 to help him reduce his taxes, and it hacks into the IRS and deletes everyone's records.

Cuba allying with Iran is pure fantasy though. There's no logistical connection between the two nations. It would be as irrelevant as Greenland allying with Antarctica.

The thing that is difference is the scale and the hardware. When Britain underwent its rail building boom in the 1850s, the bubble bursting left the kingdom with 150 years worth of infrastructure. Unless we invest in energy buildouts, we will be left with billions in rapidly depreciating GPUs