Vibecoded a silly little tool that transfers files from your computer to your phone air-gapped using your camera at ~50 Kbps.
Nice to have when you're offline or on a plane, or need to send something super duper securely.
Today, we launched GPU compute forward curves derived from our prediction market prices. Forward curves are now available on Nvidia B200. H200, and A100 chips.
Forward curves track implied future prices. They are how mature commodity markets form expectations, allocate capital, and manage risk. Energy, interest rates/SOFR, FX, metals, and agricultural markets all rely on market-implied forward prices.
Despite becoming one of the key inputs in the global economy, compute has lacked that market-derived infrastructure. Compute right now is where oil was before NYMEX — traded only via OTC deals, just like oil used to trade OTC between producers and refiners. As compute becomes as fundamental to the economy as energy, the industry will need a similar derivative market to promote efficient price discovery.
Prediction markets are uniquely suited to this problem. Compute is not one uniform commodity and spans many chips, grades, tenors, locations, and contract structures. A live prediction market can aggregate those dispersed views into transparent prices that reflect market expectations for different maturities.
The opportunity is big. Hyperscalers are spending over $700B on compute this year and the market is expected to grow to $7-10T by 2030. If this market behaves like traditional commodity markets, a liquid derivative market could be 10-20x bigger than the underlying spot market.
Compute is still not uniform enough, but this is a step towards standardization as forward curves will help us see the rise and fall of different model prices and how they correlate.
The forward curve is a first step. Up next: futures and perps.
been using @willowvoiceai from @_allanguo and @LiuLawrence45. strong stt model and smooth onboarding.
one thing i��d love to see is better shortcut support. ideally to allow long short press of a single key to have diff triggers.
was listening to https://t.co/5zCxO6klbH from @DKokotajlo and @StevenBartlett. felt the irony when China has been the most transparent in their AI research.
Kimi, Qwen, Deepseek have been actively publishing research like how Deepmind was a few years ago.
had goosebumps listening to https://t.co/THlYfzbbwg
i wrote on my blogs just a few weeks ago. "distillation is disincentivizes companies paying billions to fund the next leap." and when capex signals to be reduced, its when the bubble might burst according to @andreijikh
@lukaivicev 4 do you mean app traffic retention and engagements? i thought the north star metric is typically deposits/inflows.
8 is where alot of new fintech startup founders failed at recognizing at the start, costly mistake.