Hard Pass

They hit the hay!

Dr. Kost is among a small number of otolaryngologists who do this type of work in Canada.

She said she is part of a group of about 70 surgeons from around the world who perform these technically challenging procedures. They require specialized equipment and higher levels of training.

https://energetechsolar.com/1mwh-500v-800v-battery-energy-storage-system

While the network talks about Caitlin Clark and the trans panic, the league's popularity is soaring

CME Group, the world's leading derivatives marketplace, and Silicon Data, the industry leader in GPU market intelligence and benchmarking backed by global trading firm DRW, today announced plans to launch two Compute futures contracts on October 5, 2026, pending regulatory review.

These innovative new trading tools will bring much-needed hedging and investment vehicles to businesses looking to manage the cost of compute, the processing power and hardware infrastructure that machines need to train and run AI models. Both Silicon Data H100 Rental Index Futures and Silicon Data B200 Rental Index Futures will track indexes measuring hourly rental GPU costs published by Silicon Data. Each contract will represent a month's worth of rent for the Nvidia H100, the chip central to today's AI ecosystem, and the next-generation Nvidia Blackwell B200, respectively.

"Compute has become the currency of the AI age, and this innovative market will bring transparency to the current and future costs that AI builders and hyperscalers need to hedge as they grow," said Pete Keavey, Global Head of Energy and Environmental Products at CME Group. "Just as oil fueled the 20th century economy and evolved from spot trading into a global derivatives market, our futures contracts will now turn compute into a standardized, tradable commodity that will provide global businesses with a reliable, regulated venue to manage price risk ."

"For years, two companies buying the exact same GPU capacity could pay wildly different prices with no way to know who got the better deal. They will now have a benchmark to check that against," said Carmen Li, Chief Executive Officer of Silicon Data. "Compute futures give the market something it's never had: a public, tradable reference price for the resource every AI system runs on. Silicon Data's benchmarks make that price real; CME makes it tradable. Together, that turns compute from something enterprises negotiate blindly into a market they can actually plan around."

Explosive demand has driven sharp swings in compute prices, with volatility exposing a gap in the risk-management toolkit for companies building the AI infrastructure. CME Group and Silicon Data's Compute futures close that gap, bringing transparency to the market and allowing companies, including AI developers and hyperscalers, to lock in their costs. They will also provide a window into future AI spending.

A longtime Republican living in California says the Trump administration's continuing actions to target transgender youth take a personal toll.

HaveIBeenFlocked.com compiles Flock audit logs, allowing users to type in their license plate number, and the website returns information on search results, including whether or not a Flock system operator has searched the database for their license plate.

The audit log includes the stated reason that someone in law enforcement gave in order to look up the license plate, but doesn’t include if or when your vehicle passed one of the Flock cameras.

That'll stop those school shooters

Morning all,

Quick question, how do y'all handle big "unofficial" collection torrents with weird folder/file names that were manually added to the download client?

Is there a nice tool to use or are manual scripts the only way?

Also, how can I tell my *arr stack to look for files inside collection torrents too? Say I want Iron Man 1, but the only torrent with sufficient seeds is e.g. Phase-1.MCU.1080x720p or some weird ass name like that, that contains Iron Man 1 along with all the other files. How can I tell Radarr to use that torrent?

Thanks! Have a good one

EDIT: Apologies, should have specified, I did get this working before posting here. Ran a bash script to create subfolders for each *.mkv in the parent folder, and cleaned up the names with regex. Then went to Wanted -> Manual Import and Radarr could successfully identify the movies. But the name cleanup was the most important I think.

So a tool would have to rely on something other than the name to identify the movie like a fingerprint or somesuch

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