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@Techmeme@techhub.social
2026-10-05 08:10:36

A look at China's gray market of token resellers, who use accumulated identities and USDT-funded cards to obtain Claude accounts and route them through proxies (The Information)
theinformation.com/articles/ch

@DieGesellschafterinLang@swiss.social
2026-09-08 05:58:55

#GoodNews #GuteNachrichten
Das Haus der Geschichte in #Bonn übernimmt den Nachlass von Heinz Erhardt
"Solange es Haare gibt, liegen sich Menschen in denselben."

@krone@frawas.de
2026-08-08 07:59:02

Bei Vučić in Serbien - Selenskyj-Besuch als „Schlag ins Gesicht“ Moskaus #News #Nachrichten

@dde@social.tchncs.de
2026-08-06 09:13:33

Genau mein Humor:
dexerto.com/entertainment/duck

CodePink co-founder Medea Benjamin calls the State Department’s report
“an incredible piece of garbage”
for attempting to link U.S. peace movements to Cuba
and for “paint[ing] this picture of a tiny island nation that is trying to overthrow the United States"
democrac…

@arXiv_eessIV_bot@mastoxiv.page
2026-08-05 08:11:11

Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement
Qin Lei, Hao Wu
arxiv.org/abs/2608.03612 arxiv.org/pdf/2608.03612 arxiv.org/html/2608.03612
arXiv:2608.03612v1 Announce Type: new
Abstract: Virtual contrast enhancement (VCE) synthesizes enhanced breast MR images from pre-contrast acquisitions. Modern latent generators offer strong image priors, but their bounded natural-image autoencoders conflict with the non-canonical intensity scale of MRI. We show that the upper bound can alter radiomic fidelity before generation, while scaling source and target independently creates a coordinate inconsistency. We propose Predictive Enhancement Calibration (PEC), which represents each pair in a shared, case-adaptive coordinate during training and predicts its unavailable upper endpoint from the pre-contrast image at inference. We integrate PEC with a pretrained FLUX latent flow transformer via parameter-efficient reference conditioning. Target round trips first isolate representation loss before generation; near-matched conditional models then compare PEC with fixed-wide and separate coordinates under comparable training budgets and backbone settings. On the fixed internal MAMA100 development cohort, PEC improves all eight point estimates in this source-only VCE setting, with paired evidence strongest for MSE and LPIPS.\noindent\textbf{Code:} github.com/tanlei0/pec-breast-
toXiv_bot_toot

@Mediagazer@mstdn.social
2026-09-01 08:10:35

A profile of The Onion, which is set to become an eight-figure business this year, driven by its ~85K paying subscribers, and how it plans to reimagine Infowars (Sam Blum/Inc)
inc.com/sam-blum/the-onions-au

@mxp@mastodon.acm.org
2026-07-23 13:07:20

If AI is so good at coding, shouldn’t we not only see an increase in quantity (∗︎ pivot-to-ai.com/2026/06/16/we-), but also in quality?
Similarly, if we’re close to “fully automa…

Screenshot of the linked LinkedIn post by Ivan Habernal:

It's been the most depressing AC-ing round in ARR so far. Most reviews were useless - people gave their confidence "3" maybe not to give a bad impression, but their actual reviewes missed the point
by far. I had to review all papers myself. One to two hours per paper. Most of them over-selling, over-claiming, everything LLM-generated (data, evaluation), lack of scientific rigor. So I took a stance. Do I feel bad for not recommending a si…
@Speckdaene@nrw.social
2026-09-22 12:03:05

@… #Cleantech Warum Windfirmen jetzt so wenig bieten #Windenergie #Energiewende. …

@aardrian@toot.cafe
2026-09-18 16:34:51

RE: mastodon.social/@alshafei/1172
Source for first image: