Caught a bug over the holidays so I’m mostly resting, feeling sorry for myself, and taking the time to at least carry out some mindless housekeeping tasks (updating dependencies, etc.) on some of my Node modules.
Released updates to the following packages yesterday:
Tape-based Node.js testing:
• Tap monkey (https://
Series D, Episode 02 - Power
VILA: Oh yes. I just don't know what it's for.
PELLA: And they didn't teach this in, ah, Academy? [laughs] There's a switch. When the door is closed, every forty-eight hours Dorian must say a code word to reset the timing.
https://blake.torpidity.net/m/402/150
Have a joyful #DayOfDionysos here at Erotic Mythology! 🍇
"Goatherd Pan cried out: ‘I wish my father had taught me the trick of that matchmaking wine! I wish I could be lord of the mindtripping grape, like Bakkhos [Dionysos]!’"
Nonnus, Dionysiaca 16.289
🏛 Dionysos and Pan, 50-150 CE
Inspections by Taiwan's National Security Bureau (NSB) of five Chinese generative AI apps -- Deepseek, Doubao (豆包), Yiyan (文心一言), Tongyi (通義千問), and Yuanbao (騰訊元寶) -- found violations of users' communication security across several indicators.
https://focustaiwan.tw/cross-strait/2025…
I used to work at McDonald's in my youth. Can confirm
#ShamelesslyStolenFromSomewhereElseOnTheInternetHonestlyICantKeepTrackOfThisStuffAnymore #Shitpost
I have the distinct impression that we could use most American "sci-fi" TV series (which seem to have a kink for post-apocalyptical scenographies) as a diagnostic tool for the autism spectrum.
For a moment, let's leave aside the tons of right-wing propaganda "hidden" in plain sight, and their excessive reliance on boring & worn out tropes (religious & cultish bullshit, irrational lack of communication & excess of anti-social behaviour, all vs all, ultra-low-iq characters*, psychotic & irrationally treacherous characters*, ultra-inconsistent character development used to justify "unexpected" plot twists, rampant anti-intellectualism...).
What could be used as a diagnosis tool is the incredible amount of strong inconsistencies that we can find in them**. It throws me out of the story every single time; and I suspect that it takes a certain kind of "uncommon personality" to feel that way about it, because otherwise these series wouldn't be so popular without real widespread criticism beyond cliches like "too slow", "it loses steam towards the end of the season", etc.
Many of those plots start in a gold mine of potentially powerful ideas... yet they consistently provide us with dirt & clay instead, while side-lining the "good stuff" as if it was too complicated for the populace.
Do you feel strongly about it? Do you feel like you can't verbalize it without being criticised as "too negative", or "too picky", or an "unbearable snob"? Do you wonder why it seems like nobody around shares your discomfort with these stories?
* : I feel this is a bit like the chicken & egg problem. Has the media conditioned part of American society to behave like dumb psychopaths as if it was something "natural", or is the media reflecting what was already there? Also, could we use other societies as models for these stories... just for a change? Please?
** : Just a tiny example: a "brilliant" engineer who builds a bridge out of fence parts and who doesn't bother to perform the most basic tests before trying it in a real setting and suffer the consequences: the bridge failing and her falling into the void. Bonus points for anyone who knows what I'm talking about.
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
https://arxiv.org/abs/2510.12121
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
Andong Deng, Taojiannan Yang, Shoubin Yu, Lincoln Spencer, Mohit Bansal, Chen Chen, Serena Yeung-Levy, Xiaohan Wang
https://arxiv.org/abs/2510.08559
Series B, Episode 04 - Horizon
AVON: Has anybody else picked it up?
ZEN: Negative. [More beeps come in]
AVON: Decode.
https://blake.torpidity.net/m/204/530 B7B3
InstructX: Towards Unified Visual Editing with MLLM Guidance
Chong Mou, Qichao Sun, Yanze Wu, Pengze Zhang, Xinghui Li, Fulong Ye, Songtao Zhao, Qian He
https://arxiv.org/abs/2510.08485