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@grumpybozo@toad.social
2026-05-10 19:17:59

Part of the ability to detect bot-generated content is simply *good taste*. Humans maybe cannot describe what is “off” about the crud, yet still can see that it’s off.
Maybe it’s inconsistent perspective lines. Maybe it’s impossible focal aberrations. Maybe it’s the odd number of teeth. The redundant sentences. Excessive adjective use. Those who have developed good taste in text or visual art organically may not be aware of the specific technical issues, yet still recognize slop as slo…

@benb@osintua.eu
2026-03-03 20:55:01

Fact Check: FAKE Image Shows U.S. Embassy In Saudi Arabia On Fire After Drone Attack -- It's AI-Generated: benborges.xyz/2026/03/03/fact-

@Techmeme@techhub.social
2026-02-21 06:41:49

Pinterest users, especially artists, says the platform has gotten worse in the past year due to AI moderation, AI-generated art, and AI features (Matthew Gault/404 Media)
404media.co/pinterest-is-drown

@kazys@mastodon.social
2026-05-02 16:22:20

It's nice to see that a state of the art image generator like Midjourney 8.1 can still make really revolting meals.

@toxi@mastodon.thi.ng
2026-04-19 13:00:02

Very nice German/French documentary about the Alps as central Europe's weather & climate generator (available until end of May):
Die Alpen - Europas Wetterküche
arte.tv/de/videos/110976-000-A

@Mediagazer@mstdn.social
2026-03-19 15:10:51

Adobe launches Firefly Custom Models in public beta, letting users train AI image generators on their own assets; the custom models are private by default (Jess Weatherbed/The Verge)
theverge.com/tech/897243/adobe

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 10:34:01

Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting
Antonios Tziorvas, Andreas Tritsarolis, Yannis Theodoridis
arxiv.org/abs/2602.20671 arxiv.org/pdf/2602.20671 arxiv.org/html/2602.20671
arXiv:2602.20671v1 Announce Type: new
Abstract: The rapid growth of dockless bike-sharing systems has generated massive spatio-temporal datasets useful for fleet allocation, congestion reduction, and sustainable mobility. Bike demand, however, depends on several external factors, making traditional time-series models insufficient. Centralized Machine Learning (CML) yields high-accuracy forecasts but raises privacy and bandwidth issues when data are distributed across edge devices. To overcome these limitations, we propose Bikelution, an efficient Federated Learning (FL) solution based on gradient-boosted trees that preserves privacy while delivering accurate mid-term demand forecasts up to six hours ahead. Experiments on three real-world BSS datasets show that Bikelution is comparable to its CML-based variant and outperforms the current state-of-the-art. The results highlight the feasibility of privacy-aware demand forecasting and outline the trade-offs between FL and CML approaches.
toXiv_bot_toot

@Techmeme@techhub.social
2026-03-19 13:30:44

Adobe launches Firefly Custom Models in public beta, letting users train AI image generators on their own assets; the custom models are private by default (Jess Weatherbed/The Verge)
theverge.com/tech/897243/adobe

@kazys@mastodon.social
2026-05-02 17:33:14

It's a bad AI art Saturday. The badness is such a big part of AI image generation.

@Techmeme@techhub.social
2026-04-14 21:10:54

US-based Credo, which specializes in data center connectivity, agrees to acquire Israeli chip company DustPhotonics in a cash-and-stock deal worth up to $1.3B (CTech)
calcalistech.com/ctechnews/art