“Bees can learn a surprising amount of information from observing peers, including which flowers to visit, but also how to solve complex object-manipulation tasks. Accordingly, many complex social behaviors are much more driven by individual problem solving than by a diffuse swarm intelligence, as was traditionally thought.”
- Lars Chittka, ‘The Mind of a Bee’
The Genius of Getting It Wrong: What Hawking Teaches Us About Knowing
In 2004, at a physics conference in Dublin, Stephen Hawking stood before his peers and announced he had been wrong for nearly thirty years. The specific error concerned whether black holes permanently destroy the information they consume, a claim Hawking had championed since 1976 against some of the sharpest minds in theoretical physics. He paid off a bet with Caltech physicist John Preskill, handing…
Age is but a numeral, esteemed peers! Our best chapters lie ahead. Remember, Churchill took office at 65, exemplifying endless opportunities for those prepared to grasp them. 🚀 Embrace limitless prospects for continuous growth and prosperity! #AgeIsJustANumber #NeverTooLate
Senator Elissa Slotkin:
We are going to have to grapple with the unbelievable corruption that is coming out of this administration.
His kids have earned $1B since he became president.
A lot of my peers do whatever the president tells them to do.
They've ceded power as a separate branch of government.
ht…
These photos!!!
#LeMonde:
"Artemis-2 : la NASA dévoile des ph…
A decisive Lords vote to ban under-16s from social media has exposed both a rare political consensus but also disagreement over whether prohibition or tougher and more targeted enforcement is the best way to protect children from the harms of social media.
https://www.…
"Mahmood, who is closely associated with the Blue Labour wing of her party, has faced a backlash from MPs, peers and affiliated unions for pressing on with the policies after Labour came third in last week’s Gorton and Denton byelection."
Mahmood’s move to make asylum temporary ‘may undermine refugee convention’ | Refugees | The Guardian
I think, and it may be an unpopular opinion among my peers indeed, that we need to learn to actually make this into an Engineering discipline.
I *want* to develop code that one can reasonably trust to perform life sustaining functionality, much like I reasonably trust every bridge I drive over not to collapse under me.
We’re far from it, but these days, it seems we’ve actively decided to do *exactly the opposite of that*, and that I just can’t be a part of.
I’m utterly convinced that the reason CEOs (even of small companies) are shoving LLM into all products and forcing their employees to use them (despite them being universally despised) is social pressure from their CEO peers and they don’t want to appear to be “luddites” (yes thank you I know that’s not what that word actually means).
A couple of hours of 'catch up' calls with peers in my network this morning.
A lovely change of pace and one simple way to avoid any risk of loneliness when working alone so much. ☕️
Apple, whose capital expenditure is just a fraction of its peers, is the only Big Tech company that saw capex decline YoY in Q4, decreasing 19% to $2.37B (Rani Molla/Sherwood News)
https://sherwood.news/tech/apple-is-the-only-big-tech-company-…
Asia's smaller chip companies are joining their bigger peers in hiking prices as robust AI demand fuels capex, projected to rise 25% YoY to over $136B in 2026 (Nikkei Asia)
https://asia.nikkei.com/business/techn
Hierarchic-EEG2Text: Assessing EEG-To-Text Decoding across Hierarchical Abstraction Levels
Anupam Sharma, Harish Katti, Prajwal Singh, Shanmuganathan Raman, Krishna Miyapuram
https://arxiv.org/abs/2602.20932 https://arxiv.org/pdf/2602.20932 https://arxiv.org/html/2602.20932
arXiv:2602.20932v1 Announce Type: new
Abstract: An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the brain, measured from the human scalp. Prior studies have explored EEG-based classification of objects or concepts, often for passive viewing of briefly presented image or video stimuli, with limited classes. Because EEG exhibits a low signal-to-noise ratio, recognizing fine-grained representations across a large number of classes remains challenging; however, abstract-level object representations may exist. In this work, we investigate whether EEG captures object representations across multiple hierarchical levels, and propose episodic analysis, in which a Machine Learning (ML) model is evaluated across various, yet related, classification tasks (episodes). Unlike prior episodic EEG studies that rely on fixed or randomly sampled classes of equal cardinality, we adopt hierarchy-aware episode sampling using WordNet to generate episodes with variable classes of diverse hierarchy. We also present the largest episodic framework in the EEG domain for detecting observed text from EEG signals in the PEERS dataset, comprising $931538$ EEG samples under $1610$ object labels, acquired from $264$ human participants (subjects) performing controlled cognitive tasks, enabling the study of neural dynamics underlying perception, decision-making, and performance monitoring.
We examine how the semantic abstraction level affects classification performance across multiple learning techniques and architectures, providing a comprehensive analysis. The models tend to improve performance when the classification categories are drawn from higher levels of the hierarchy, suggesting sensitivity to abstraction. Our work highlights abstraction depth as an underexplored dimension of EEG decoding and motivates future research in this direction.
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Chinese startup Moonshot updates its Kimi model, saying K2.5 can process text, images, and videos simultaneously and beats its open-source peers in some tests (Bloomberg)
https://www.bloomberg.com/news/articles/2026-01-27/chi…
The UK launches a consultation on whether to ban under-16s from using social media, alongside restrictions on addictive app features like infinite scrolling (Kiran Stacey/The Guardian)
https://www.theguardian.com/uk-news/2026/j