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@eyebee@mstdn.social
2026-10-07 10:35:27

AI. I’m not a die-hard fan, and I’m not against it either. My feeling is that, used wisely, it can bring real benefits. For example, I use Day One for journaling. I am finding that the AI creator in there is very useful as I can talk or write to it as I go along through the day, and I miss less.

@aardrian@toot.cafe
2026-10-29 11:22:26

“Let’s set that aside for a moment” whenever discussing failings, impacts, and costs of LLMs is such an offensive dismissal of human harms that I am surprised to hear it from an accessibility-focused session chair at TPAC (not today; time-delayed to obfuscate person / session).

@jonippolito@digipres.club
2026-08-15 18:23:16

How many cases of prompt injection in legal cases are we unaware of because they succeeded?
arstechnica.com/tech-policy/20

Headline: "Suspecting court of using AI, man injected prompts in filings to try to win case. Judge warns pro se litigants are using chatbots wrong and getting desperate."
@michabbb@social.vivaldi.net
2026-10-29 17:45:08

⚙️ Architecture: 128 routed experts with 4 active per token plus 1 shared expert, a 1M token context window, and text image input via a Pixtral-style vision encoder that handles variable image sizes and aspect ratios
🎚️ One set of weights covers instruction following, reasoning, coding and agentic work. Reasoning effort is set per request: low, medium or high (default). Native function calling, JSON output and strict JSON schema enforcement

@curiouscat@fosstodon.org
2026-10-27 16:18:48

A great deal of useful material is not presented well. Try to learn no matter how well material is presented.
"You can blame whoever was communicating the ideas to you for failing to present it as well as they should but that won’t help you learn more."
"You can train yourself to learn more than most people when the material is presented in a less than perfect manner by learning how we commonly fail to learn and making efforts to do better yourself."

@nelson@tech.lgbt
2026-10-05 15:50:01

Feeling a little entitled and grouchy about Nobara Linux today. It's a great distribution and a remarkable achievement from mostly one developer. But there's a sense that the update mechanism is brittle and can break systems. He launched something new last week where updates are deferred until reboot. Not ideal, but may solve some problems.
Today I'm learning the new updater may have broken Timeshift, a system snapshotting tool. And the fix may be some scary surgery from a USB rescue disk :-(
In an unrelated problem, one of the software repositories has an HTTP bug that's breaking updates.

@shochdoerfer@phpc.social
2026-10-23 06:42:13

Still in the mood for another round of patching?
After patching NGINX, PHP, and node.js it is urgent that you update your #Sylius shop immediately, following the recent security releases:

@heronheart@vivaldi.social
2026-10-21 03:29:35

The Failing of the Light
8.5 by 11 inches. Pablo colored pencil on Canson Mi-Teintes black paper. This is the most complex piece I've attempted in quite some time. #dragonfly #ColoredPencil #art

@stefanlaser@social.tchncs.de
2026-09-12 13:34:57

#FlyingLess puts you in iconic #trains, like this Polish-German InterCity. That’s a decent way to end the #EAAST conference. Including, of course,
VEGAN CABBAGE!🥬

Picture of a vegan cabbage served by the Polish railway
The actual kitchen on board where food is prepared; a photograph of the woman looking through a small window in the door, yellow interior
Snapshot from Wroclaw station, where we stopped to say goodbye to the restaurant part of the train that is not allowed to travel to Germany. Old railway station, charming, blue sky.
@jonippolito@digipres.club
2026-08-18 13:52:36

Generative AI’s per-query footprint can be small compared to flying, eating meat, or even Zoom. Until agents show up and compute goes through the roof.
How I updated my AI footprint calculator accordingly jonippolito.substack.com/p/age

Chart titled “How much more energy do heavier AI prompts use?” Lightbulbs represent relative compute/energy: Simple 1×, Complex 9×, Reasoning 30×, and Agentic 100×. Example tasks progress from telling a golf joke to writing a vegan picnic menu, comparing home insulation options, and buying garden supplies and booking a landscaper.