pmUSD Halves With No Exit Route (#206#) $PMUSD trades at $0.495, 5049 bps below par and 536 bps wider than the previous edition, on an F safety score of 0 with no supported redemption route. USDC shed $1.05B in a day against a $353M weekly net. See the map.

Two halves of one problem. What you feed the model, and what you do with what comes out: - Krea threw AI images out of the training set on purpose, because distilled data is sticky and the shortcut costs you the whole point. Roughly 30 to 40 in house classifiers run over billions of images - GPU utilization is a lie. It reads 100 percent while the tensor cores sit idle. Any GPU running above 78 degrees gets pulled rather than debugged - 1.3 million videos rendered by open source users in 90 days, from a framework deliberately designed so a small model could author it - An avatar generating continuously for eight hours with no reset, and a sixteen hour deployment being built. It costs about what serving a voice model costs - 10 dollars now buys three hours of continuously generated video. The old way was a slot machine at roughly 10 dollars a minute Watch the Generative Media track:

I halved my $GOOGL position: - They haven't released a new model in ages - Gemini Pro regularly crashes - A lot of the best people in AI just left - Search is 60% of profits, which is going to get largely disrupted - The parts I like are GCP and Youtube, but these are small parts of the business (35% or so) - 27x forward PE, fairly expensive given the risk in Search I've kept half for the moment on the hope they'll release a cool model soon, but all of this position is pure profit. I first invested in Google in 2011 and have gradually been selling over the past two years as Anthropic is just on a much faster innovation cadence and given my bearishness on Search. Anthropic is launching one impressive model after another. I do all my coding with Claude. Whenever I try one of these open-source models, they're garbage. It's called 'benchmaxing', as Palantir explained well - i.e. make the model look good on predefined benchmarks, but not being able to handle real workloads that engineers need. My impression is that Anthropic is running away with this and that the gap with competition will only increase from here. Anthropic has the cash to build custom data sets, has the talent, and the compute. Google seems to be lacking in execution. I don't want to write them off fully, but it certainly doesn't feel like high conviction.

In @nytopinion “The eastern halves of the United States and Canada are experiencing a sea change in the public health threat posed by ticks,” Jonathan Mingle writes in a guest essay. “Humans are in retreat from this bloodthirsty enemy.”

Raul Jimenez halves the deficit for Mexico from the spot. Harry Kane conceded a penalty after clipping Brian Gutierrez while trying to clear the ball in the box. A VAR check led to the award of the spot kick. Jordan Pickford nearly got there, but Jimenez is so reliable from 12 yards.