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7 Vintage Books Science-Minded Readers Will Love Paired With A 2025 Book Recommendation #Science #Other #VintageBooks #ScienceReading #BookRecommendations
7 Vintage Books Science-Minded Readers Will Love Paired With A 2025 Book Recommendation
A collection of seven book reviews from our archives, each paired with a recently published book we recommend
purescience.news
September 2, 2025 at 10:42 PM
icis-stephanie.bsky.social
Reading list incoming! 📚
Dr. Zhian Chen curated some fantastic reviews covering gasdermins, ferroptosis, cell death, and BCR signaling. Perfect for your weekend science reading (because we all do that, right? 😅)
#CytokineSociety #ScienceReading #ResearchReviews #WeekendReading
August 27, 2025 at 5:05 PM
iopp-quantum.bsky.social
The @physicsworld.bsky.social Quantum Briefing 2025 is out now — your essential guide to the latest breakthroughs, big ideas, and bold questions shaping the quantum frontier.

🔗 physicsworld.com/p/magazine/a...

#QuantumPhysics #QuantumTech #PhysicsWorld #ScienceReading
May 16, 2025 at 2:14 PM
vascobrazao.bsky.social
Finally reading "Is ChatGPT Bullshit?", which argues the falsehoods in the outputs of language models are not "hallucinations" but "bullshit", and explains why the distinction is useful.

link.springer.com/article/10.1...

#ScienceReading #ArtificialIntelligence #PhilSky #PhilTech #Psychology
Abstract of the paper, reads: "Recently, there has been considerable interest in large language models: machine learning systems which produce human-like text and dialogue. Applications of these systems have been plagued by persistent inaccuracies in their output; these are often called “AI hallucinations”. We argue that these falsehoods, and the overall activity of large language models, is better understood as bullshit in the sense explored by Frankfurt (On Bullshit, Princeton, 2005): the models are in an important way indifferent to the truth of their outputs. We distinguish two ways in which the models can be said to be bullshitters, and argue that they clearly meet at least one of these definitions. We further argue that describing AI misrepresentations as bullshit is both a more useful and more accurate way of predicting and discussing the behaviour of these systems."
October 15, 2024 at 2:58 PM
vascobrazao.bsky.social

Can a focus on prediction (as opposed to explanation) ultimately lead us to greater understanding of behavior? At first seems paradoxical to me. Let's see what @talyarkoni.com and Westfall have to say and consider potential lessons for #sociology

#ScienceReading #StatsSky #Psychology #Philsci
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning - Tal Yarkoni, Jacob Westfall, 2017
Psychology has historically been concerned, first and foremost, with explaining the causal mechanisms that give rise to behavior. Randomized, tightly controlled...
journals.sagepub.com
April 18, 2024 at 9:51 AM