Tootfinder

This https://arxiv.org/abs/2506.02139 has been replaced.
link: https://scholar.google.com/scholar?q=a

The Unified Cognitive Consciousness Theory for Language Models: Anchoring Semantics, Thresholds of Activation, and Emergent Reasoning
Few-shot learning in large language models (LLMs) reveals a core paradox: certain tasks generalize from just a few examples, while others demand extensive supervision. To explain this, we introduce the Unified Cognitive Consciousness Theory (UCCT), which reconceptualizes LLMs not as deficient agents, but as unconscious substrates: dense, distributed repositories of linguistic and conceptual patterns that operate without explicit semantics, intention, or goal-directed reasoning. Under this view,…

It's amazing to me that people continue to look back at 2024 and angrily blame muslims,non-voters, & leftists for the overwhelming win by Trump. It must be nice to be able to completely ignore reality and learn nothing.
https://www.

Behind Trump’s 2024 Victory, a More Racially and Ethnically Diverse Voter Coalition
Pew Research Center’s in-depth study of its survey respondents who voted in the 2024 election examines turnout, voting patterns and demographics.

The Tiny Angry Witch continues to be a delight.
https://www.patreon.com/posts/132347561

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Chenjun Xu, Bingbing Wen, Bin Han, Robert Wolfe, Lucy Lu Wang, Bill Howe
https://arxiv.org/abs/2506.00582

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs
Psychology research has shown that humans are poor at estimating their performance on tasks, tending towards underconfidence on easy tasks and overconfidence on difficult tasks. We examine three LLMs, Llama-3-70B-instruct, Claude-3-Sonnet, and GPT-4o, on a range of QA tasks of varying difficulty, and show that models exhibit subtle differences from human patterns of overconfidence: less sensitive to task difficulty, and when prompted to answer based on different personas -- e.g., expert vs laym…

The ultimate display: Where will all the pixels come from?
Benjamin Watson, David Luebke
https://arxiv.org/abs/2506.23001 https://arx…

The ultimate display: Where will all the pixels come from?
Could the answer be to compute fewer pixels? Renderers that break traditional framed patterns and opt for temporally adaptive sampling might be the key to printer-resolution wall displays that update hundreds of times per second.

I nearly missed the fact it's been a year since I translated @… Meta in Myanmar series to Polish.
A year later, I can confidently say that series radicalized me quite a bit.
I've hated Meta products for a while, so not much has changed in that department.
However, re-reading the story of Rohingya ethnic cleansing over and over again made me grow plenty of sheer anger within me.
Anger over general injustice in the world and stuff.
My third 'era' of photography, involving documenting local activism, with particular attention to oppressed or marginalized groups (tenants, Palestinians, Belarusians - to name just a few) wouldn't have happened if I hadn't had my moment of disillusionment about the whole system we live in.
All of that because I started noticing familiar patterns I haven't been aware before. All stories that involve oppression, genocide, ethnic cleansing or any other kind of systemic cruelty started rhyming to me. Only the context and the environment kept changing.
Literally everything about my current life has changed around April 2024 and only now I'm ready to take a look at that.
Anyway. To all of you who want to read that once again:
Full series in Polish:
https://blog.lukaszwojcik.net/pl/meta-w-mjanmie/
Web Archive copy of the above:
https://archive.org/details/meta-w-mjanmie-pl
Original in English:
https://erinkissane.com/meta-in-myanmar-full-series

#Blakes7 Series C, Episode 12 - Death-Watch
DEETA: So, you have an answer for the Summons to Justification. Like what? Surely not a Blood Feud? [rises to face her] I can't have killed someone who's close kin to both of you. Particularly not as your friend here is a citizen of the Vandor Confederacy. As I assume you are. [drops a metal ID card at her feet]
KARLA: [Picks it …

CF-Seg: Counterfactuals meet Segmentation
Raghav Mehta, Fabio De Sousa Ribeiro, Tian Xia, Melanie Roschewitz, Ainkaran Santhirasekaram, Dominic C. Marshall, Ben Glocker
https://arxiv.org/abs/2506.16213

CF-Seg: Counterfactuals meet Segmentation
Segmenting anatomical structures in medical images plays an important role in the quantitative assessment of various diseases. However, accurate segmentation becomes significantly more challenging in the presence of disease. Disease patterns can alter the appearance of surrounding healthy tissues, introduce ambiguous boundaries, or even obscure critical anatomical structures. As such, segmentation models trained on real-world datasets may struggle to provide good anatomical segmentation, leadin…

Since halving my #sertraline dose, down to 50mg / day, my brain feels like it’s halved in processing power. Words are more difficult to find, my speech is slower, my thought patterns and creativity are stifled. I’m generally more lethargic. On the plus side I’m less agitated and less prone to angry outbursts. If only I could have all of the good bits and none of the bad. That’s not really h…