Has Technology Ever Reduced Labor?
Has technology ever reduced labor? The question sounds rhetorical. We carry small computers that answer any factual query in seconds, our laundry tumbles itself clean while we sleep, our cars drive themselves on highways our great-grandparents traveled by mule. Of course technology has reduced labor. The question barely needs asking.
Anker announces Thus, a compute-in-memory chip it says will bring on-device AI to its products and accessories, starting with its upcoming Soundcore earbuds (John Higgins/The Verge)
https://www.theverge.com/tech/916463/anker-thus-chip-announcement
"1. AI can erode human judgment by offering instant answers that weaken creativity, discernment and the patience needed to seek truth.
2. AI can simulate care without relationship, making vulnerable users mistake artificial empathy for genuine human connection.
3. AI can deepen inequality because data, computing power and regulatory influence are concentrated among a small number of actors.
4. AI can destabilize democracy by amplifying disinformation and blurring the line…
from my link log —
Cryptographic right answers: post quantum and Rust edition.
https://kerkour.com/post-quantum-cryptography-recommendations-rust
saved 2026-04-23
Cryptographic Right Answers: Post Quantum and Rust Edition
[…] Cryptography is everywhere and as a developer you will need to upgrade your projects with post-quantum algorithms, whether because you care about the security of your users, or for compliance reasons. […]
🦀 https://kerkour.com/post-qua…
Wanna know why #psycholinguistics is so fascinating?
In a 2001 #experiment participants saw sentences like
"While Mary dressed the baby played in the crib."
Then they had to answer the question:
"Did Mary dress the baby?"
Up to 51% of all answers where "Yes!" – and participants were *very* confident about their answers.
🤯
Original paper:
Christianson, Kiel & Hollingworth, Andrew & Halliwell, John F. & Ferreira, Fernanda (2001). Thematic Roles Assigned along the Garden Path Linger. Cognitive Psychology 42(4). 368–407. DOI: https://doi.org/10.1006/cogp.2001.0752
Also a fascinating read:
Ferreira, Fernanda & Bailey, Karl G.D. & Ferraro, Vittoria (2002). Good-Enough Representations in Language Comprehension. Current Directions in Psychological Science 11(1). 11–15. DOI: https://doi.org/10.1111/1467-8721.00158
NFL Confidential: How is Dexter Lawrence Trade Impacting Draft? Execs, Scouts Weigh in https://www.foxsports.com/stories/nfl/nfl-confidential-how-dexter-lawrence-trade-impacting-draft-execs-scouts-weigh
Reading https://www.ideou.com/en-gb/blogs/inspiration/how-to-not-know-simone-stolzoff and wondering if people's low tolerance for uncertainty is why people would rather a confident but possibly wrong answer from a chatbot than trust their own judgement …
«KI-Modelle sind anfällig für wiederholte Angriffe:
Laut Forschern von Cisco versagen KI-Modelle bei realistischen Multi-Turn-Angriffen und lassen an Sicherheits-Benchmarks auf Basis weniger Prompts zweifeln.»
Der moderne Widerspruch ist die KI oder was ist es sonnst? So klug wie KI angeboten wird ist es einfach nicht.
🤖