@xwanyex A good friend of mine lived rent free in his father-in-law’s so-so apartment building while he built his business from scratch. He said it was too good of a deal to move until he could afford the house he wanted.
Then 8 years later he bought a $5m house. Barbell.
Why would crime go down and education improve? We have had the tools to do so for a long time but cities’ revealed preference is disorder (shut off Flock/gunshot detectors + no bail etc) and converted public education into a jobs program for administrators.
Unless you create real competition among jurisdictions then new technology just gets co-opted by the Machine (see teachers insisting on in-the-loop AI education).
@TMTLongShort You’ll need to attack the memetic layer so that Gen Z doesn’t buy overpriced homes, art, college degrees, country clubs, etc that boomers value so highly
@KeenanPeachy I re-watched 21 Jump Street with my 15yo son recently (another Lord/Miller film). It is still hilarious and we loved it.
Afterwards I was just sad that they don’t/can’t make movies like that anymore.
@ContrarianCurse Even if this $2t asset class is down 50%, it is like a medium bad week for Mag7. Why is this such a concern? Seems like a rounding error.
The missing piece was InferenceMAX™, which gives us rigorous, real-world throughput data. Using DeepSeek R1 FP8 runs on H200s, we can now translate cost per GPU-hour into cost per million tokens, about $0.53 per million tokens.
Finally, once we couple that compute cost with real application metrics (average tokens per user, token price, and active user counts) we can close the loop from silicon economics all the way to application-layer profitability. In this example, we land at roughly 34% gross margin at the app level. This framework lets us, for the first time, connect token demand forecasts to megawatt requirements. As models evolve and inference efficiency improves, these relationships will keep shifting - but this stack gives us a repeatable way to translate demand into hardware, power, and ultimately, answer the question on economics.(4/4)
@MelodicMiner71@RonDeSantis By unlocking tons of supply artificially held off the market by older homeowners who pay dramatically lower property taxes, you would see much lower prices.
@runliftrunlift You’re talking about training to get faster. Some of us just like to run because it makes us feel good and have a good day. Not the same!