Interesting

The Paradox of Reuse in 2026: A Case of Quasi-Enclosure, or "Subsidized Club Goods that Sort of Look Like Public Goods"

How we can understand, and react to, the complicated impacts of AI systems on online communities and knowledge commons

Willow - Protocols for an uncertain future (FOSDEM'26)

Centralised systems were designed with the best of intentions, but were turned against us anyway. And peer-to-peer systems will be exactly the same. How do we make the next generation of protocols ...

Decentralizing My Smartphone With Single Purpose Devices

Lately, I’ve become nostalgic for the days before smartphones, when the internet was a place we went to deliberately, and not a place that lived on all of ou...

Type-safety with TypeScript ORMs and query builders · thetutlage meta · Discussion #8

Alright, so I maintain a JavaScript ORM called Lucid. Lucid is built on top of knex, which isn't type-safe, and hence, Lucid isn't type-safe either. My gut feeling is that utilizing SQL to ...

AI has supercharged scientists—but may have shrunk science

Analysis of 41 million papers finds that although AI expands individual impact, it narrows collective scientific exploration

Challenges and opportunities for high-quality battery production at scale

As the world electrifies, global battery production is expected to surge. However, batteries are both difficult to produce at the gigawatt-hour scale and sensitive to minor manufacturing variation. As a result, the battery industry has already experienced both highly-visible safety incidents and under-the-radar reliability issues—a trend that will only worsen if left unaddressed. Here we highlight both the challenges and opportunities to enable battery quality at scale. We first describe the interplay between various battery failure modes and their numerous root causes. We then discuss how to manage and improve battery quality during production. We hope our perspective brings greater visibility to the battery quality challenge to enable safe global electrification.

Don't fall into the anti-AI hype - <antirez>

Okay so, we just found that over 50 papers published at @Neurips 2025 have AI hallucinations by @alexcdot(Alex Cui) | Twitter Thread Reader

Okay so, we just found that over 50 papers published at @Neurips 2025 have AI hallucinations I don't think people realize how bad the slop is right now It's not just that researchers from @GoogleDeepMind, @Meta, @MIT, @Cambridge_Uni are using AI - they allowed LLMs to generate hallucinations in their papers and didn't notice at all. It's insane that these made it through peer review👇

Leaflet, Blogging, and How to Fix Social Media - Aaron Ross Powell's Blog

Decentralization, network overlap, and why we should all blog, too.

How Social Media Tricks our Brains — and Destroys our Politics - Aaron Ross Powell's Blog

Matthew Sheffield (@mattsheffield@mastodon.social)

🧵 As a former Republican consultant who left in 2015, I'm often asked why Trump and his minions are willingly destroying science, K12 education, universities, international organizations, public broadcasting, and social welfare institutions. There are many reasons, but the main ones are psychological rather than ideological. They struggle with abstract thinking and are afraid of the world...

X Is a Power Problem, Not a Platform Problem

Fediverse Report #148: X is not a just platform problem anymore, it's a power problem, and why you cannot compete as platforms with power.

Why did capitalism begin in the West?

Culture, class, and the origins of capitalist development

The rise of industrial software | Chris Loy

> _**Industrial**_ > > _adj. (sense 3a)_ > > Of or relating to productive work, trade, or manufacture, esp.

Four Ps for Building Massive Collective Knowledge Systems

Design principles for collective knowledge systems—permanence, provenance, permission, and placement—that enable robust networks for evidence-based decision making.