Out Now — Pucking Power Play by Jason Wrench — Two prospects. Two opinionated moms. One impossible love story. #MMHockeyRomance#GayRomance#romance https://t.co/hZWrekPYk2
Anthropic dropped a 33-page guide on building Claude Skills
Everything you could ever need is in here. Bookmark this and come back to it
https://t.co/jEuH95NGn3
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Breaking News: Steven Rosenbaum, the author of “The Future of Truth,” acknowledged that the nonfiction book about the effects of A.I. on truth included misattributed or fake quotes concocted by A.I. https://t.co/QFkX5BqlKs
My favorite genre is “books politicians haven’t read but want to
regulate.” Oppose H.R. 7661.
Sign now.
Via @everylibrary#read#reading#library#libraries https://t.co/4yvbNfC77Y
SCOOP: A pro-AI dark money group backed by a powerful super PAC funded by execs tied to Palantir and OpenAI, has been secretly paying influencers to push pro-AI, anti-China propaganda on TikTok and IG.
Out Now — Pucking Power Play by Jason Wrench — "Bring your credit card, Draisaitl. I'm not a cheap date." #MMRomance#HockeyRomance#romance https://t.co/bc49fCGEOP
A 2025 study out of M.I.T. cautioned that “the integration of LLMs into learning environments may inadvertently contribute to cognitive atrophy.” This danger hasn’t slowed the advancement of A.I. in schools. https://t.co/nPxSO7Hdcb
🚨 The authors found that, by mid-2025, 35% of newly published websites were AI-generated or AI-assisted (up from zero before ChatGPT’s launch).
Interesting paper on the impact of AI-generated text on the internet, relying on data from the Internet Archive's Wayback Machine.
Congratulations to the paper authors Jonáš Doležal, @ibnesayeed, @MarkGraham, and @matybohacek.
Most people don't think about it, but soon, the vast majority of the internet will be AI-generated or AI-assisted (and it will be used to train LLMs that will output more AI text).
We still don't know the individual and collective practical implications of this.
👉 Download the full paper below.
"You're the first thing that's real. The first thing I've chosen for myself." Out Today, 4/28/26 — "Shut up and kiss me." Captain Andro, finally taking direction. #MMRomance#GayRomance#romance https://t.co/bc49fCGEOP
🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now.
The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left.
Every executive can see this. The math is not complicated. But here is why nobody stops.
If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time.
The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation.
The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy.
They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand.
The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker.
The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.
(Link in the comment)
PhD Students - Which tool to use in each phase of your PhD?
1. Exploration and Idea Generation
@answerthisio → https://t.co/s3ErfgLiW3
@NoahAITech → https://t.co/ehkMkpGrGP
2. Literature Review
@Gatsbi_AI → https://t.co/Ca4Ryz181K
@Novix_science → https://t.co/8yorkrreey
3. Data Collection
@PatSnapEureka → https://t.co/CQWaMkC0ws
𝐦𝐨𝐚𝐫𝐚 → https://t.co/modIBYOxLP
4. Data Analysis
@scispace → https://t.co/A1sARUgxuS
𝐋𝐢𝐧𝐞𝐫 → https://t.co/qMeq0EEgVA
5. Writing and Drafting
@wispaper→ https://t.co/p066vS6FyD
@SciClaw_ai → https://t.co/sgDsHRlP7S
6. Review and Refinement
Review-it → https://t.co/PMrNAhnkJM
@thesify_ai → https://t.co/MzhV4GkcVT