Forgot your password?
typodupeerror

Submission + - Tracy Kidder, Author of "The Soul of a New Machine", has died.

wiredog writes: Tracy Kidder, author of "The Soul of a New Machine" has died at the age of 80.

"The Soul of a New Machine" is about the people who designed and built the Data General Nova, one of the 32 bit superminis that were released in the 1980's, just before the PC destroyed that industry. It was excerpted in The Atlantic.

"I'm going to a commune in Vermont and will deal with no unit of time shorter than a season."

Submission + - AI found 12 New OpenSSL zero-days (lesswrong.com)

wiredog writes: "Our goal was to turn what used to be an elite, artisanal hacker craft into a repeatable industrial process. We do this to secure the software infrastructure of human civilization before strong AI systems become ubiquitous. Prosaically, we want to make sure we don't get hacked into oblivion the moment they come online."

Comment Re: Search for a traffic jam (Score 3, Insightful) 59

Why would they do that? Taxiâ(TM)s operate on demand. If thereâ(TM)s so little demand in an area for such an extended period of time, the more likely scenario is for Waymo (or whatever robo taxi company) to either send the vehicle to a different location with more current demand, or back to the main hub and power down.

Comment Re: Obvious questions (Score 1) 60

According to the article, the (Google, Meta, Amazon) have changed the life of a deprecating asset (Google and meta up to 6 years, from 4 and 5.5 respectively) AWS has bounced from 5 to 6 and then back to 5)

The neo-clouds are doing something different and appear to be taking out loans to purchase the gpuâ(TM)s and then using those assets (the gpuâ(TM)s) to back the loan. Kind of like how you or I could take a loan out on a car or mortgage on a house. Neo-cloud loans are for 3 years it appears and they are saying the assets are still good for a total of 6.

So basically Burry is saying he disagrees with both sets of companies over how long those assets will be of value.

But the article points out you have things like A100â(TM)s, released in 2020, which are still heavily utilized in inference workloads (just not training workloads) and were already going 5 years out, so maybe that 5-6 year window is justified)

It also appears to miss the point that the assets are just an input (like seed, fertilizer and water for crops) either the time rented for the gpuâ(TM)s and related infrastructure by cloud customers, or the creation of a trained model, or SaaS offering using the inference platform is the economic output.

Slashdot Top Deals

Surprise due today. Also the rent.

Working...