weekend ai reads for 2026-04-10

šŸ“° ABOVE THE FOLD: ABUNDANCE

What if AI just makes us work harder? / Tim Harford (7 minute read)

The Nobel laureate economist Claudia Goldin coined the phrase ā€œgreedy jobsā€ to describe roles such as those in corporate law or investment banking where disproportionate rewards are paid to those willing and able to work long hours and be on call whenever required.

Developers and consumers alike have complained about the lower-quality apps hitting the App Store. While it means more potential sales for Apple, the quantity is thought to make it harder for users to find the higher-quality apps in the first place.

Judging by the examples on its website, Tesana’s users are mostly testing it out by generating garbled versions of other games. Valdenholt, for example, is like Skyrim if you took it out of the computer, stomped on it, and then smushed some of the pieces back in. But it is technically a game-shaped piece of software.

ā€œThis is unprecedentedā€: America’s AI boom is leaving the rest of the world behind — Tech leaders called AI a democratizing force. But it’s concentrating power and wealth in a handful of American companies. / Rest of World (15 minute read)

 

šŸ“» QUOTES OF THE WEEK

What does this say about us, that we so passively acquiesce? Are we not the valiant knights, the truth-tellers, the beauty-makers, who journey to the dark side, slay the dragon, and bring back the dripping treasure? Are we not the guardians of the world’s soul?

Nick Cave (source)

 

Guard your highest-energy periods for judgment-heavy decisions and relationship-sensitive conversations, and do routine tasks when you’re naturally less sharp.

Stefan Volk (source)

 

šŸ‘„ FOR EVERYONE

But the amazing thing to me is that I keep remembering I can fix anything I come across that doesn’t work the way I want it to. With any other software I have to adjust. With this software, I just say ā€œoh hey, let’s change this.ā€

As part of Project Glasswing, the launch partners listed above will use Mythos Preview as part of their defensive security work; Anthropic will share what we learn so the whole industry can benefit.

1. There are no comparison benchmarks
2. The rate of false positive is not disclosed
3. Manual human evaluation is noted but not disclosed in further detail
4. False claims that open-source code is well audited for simply being available for decades

Social media is populist and polarising; AI may be the opposite — Large language models elevate expert consensus and moderate views, in sharp contrast to social platforms / The Financial Times, archive (6 minute read)

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models / University of Washington, Carnegie Mellon University, Allen Institute for Artificial Intelligence, arXiv (20 minute read)

We conduct a systematic analysis of the cost and utility of OpenAI’s language model API on multilingual benchmarks in 22 typologically diverse languages. We show evidence that speakers of a large number of the supported languages are overcharged while obtaining poorer results. These speakers tend to also come from regions where the APIs are less affordable to begin with.

  • these token differences mean tibetan prompts cost about 12x english ones

ā€œCopilot is for entertainment purposes only,ā€ the company warned. ā€œIt can make mistakes, and it may not work as intended. Don’t rely on Copilot for important advice. Use Copilot at your own risk.ā€

A Microsoft spokesperson told PCMag that the company will be updating what they described as ā€œlegacy language.ā€

 

šŸ“š FOUNDATIONS

How to Build Your Second Brain / Nick Spisak, Twitter, archive (9 minute read)

The idea is simple: instead of keeping notes scattered across apps, you dump everything into one folder. Then you tell your AI to organize all of it into a personal wiki - summaries, connections, articles - that gets smarter every time you use it.

  • related, Components of A Coding Agent — How coding agents use tools, memory, and repo context to make LLMs work better in practice / Ahead of AI, Substack, archive (20 minute read)

A Visual Guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value. / luongnv89, GitHub (10 minute read)

What is inference engineering? Deepdive — Many engineers use inference daily, but inference engineering is a bit obscure – and an area rich with interesting challenges. Philip Kiely, author of the new book, ā€œInference Engineering,ā€ explains / Pragmatic Engineer, Substack, archive (40 minute read)

 

šŸš€ FOR LEADERS

AI Shrinks the Team, Not the Problem / Code Good (6 minute read)

When execution is cheap, decisions become expensive. This is not intuitive to most technology leaders because the industry has spent two decades optimising for execution speed … focused on reducing the cost and time of turning a decision into running software.

Four in 10 workers now name AI-driven job loss as one of their primary fears—a share that has nearly doubled in a single year, according to KPMG. Sixty-three percent say AI will make the workplace feel less human. Skill demands in AI-exposed roles are shifting 66% faster than they did just one year ago.

Enterprise AI Playbook — Lessons from 51 Successful Deployments [PDF} / Pereira, Graylin, Brynjolfsson, Stanford Digital Economy Lab (88 minute read)

Rethinking Critical AI Infrastructure — How on-device infrastructure is emerging as a platform for enterprise AI development and deployment / Omdia, commissioned by Apple (22 minute read)

  • a bit of an ad for Apple (just support CUDA, already), yet relatively thorough

 

šŸŽ“ FOR EDUCATORS

A new report released by the Postsecondary Education and Economic Research Center maps out the estimated payoff of a graduate degree. When factoring in the costs of a graduate degree—tuition and fees—some degree holders are actually coming out the other end with negative returns. The worst returns are for psychology graduate degrees, with a -8% cost-adjusted return, or the estimated change in lifetime income after accounting for the cost of attendance.

China’s AI Education Experiment / China Talk, Substack, archive (30 minute read)

Ultimately, China stands out globally for the sheer scale of its AI education ambitions — and the scope of applications its edtech industry is targeting for AI integration.

Melania Trump: AI in education could give America’s kids a competitive edge — As we transition into an AI technology-driven future, equipping our youth with the skills to navigate and leverage AI is crucial to their success / opinion, Fox News (8 minute read)

We are not protecting our children if America limits access to AI in education. In fact, we are putting our next generation at a global disadvantage.

The machines are fine. I’m worried about us. / Minas Karamanis (21 minute read)

What’s great about science is its people. The slow, stubborn, sometimes painful process by which a confused student becomes an independent thinker. If we use these tools to bypass that process in favor of faster output, we don’t just risk taking away what’s great about science. We take away the only part of it that wasn’t replaceable in the first place.

 

šŸ“Š FOR TECHNOLOGISTS

Of course, there’s no shortage of posts claiming that AI one-shot their project or pushing back and declaring that AI is all slop. I’m going to take a very different approach and, instead, systematically break down my experience building syntaqlite with AI, both where it helped and where it was detrimental.

I Still Prefer MCP Over Skills / David Mohl (10 minute read)

Skills are great for pure knowledge and teaching an LLM how to use an existing tool. But for giving an LLM actual access to services, the Model Context Protocol (MCP) is the far superior, more pragmatic architectural choice. We should be building connectors, not just more CLIs.

  • related, ismcpdead.com — Is the Model Context Protocol dead?

  • as of this publication, ā€œ92: No — MCP is thriving.ā€

I stopped hitting Claude’s usage limits - 10 things I changed / kaize, Twitter, archive (7 minute read)

Recently I realized that Claude doesn’t count the number of messages. it counts tokens. All you need to do is use tokens wisely, but not everyone knows how to do that and ends up losing a lot of tokens and money as a result.

I got really into this and put together a list of the best habits that will save you a ton of tokens.

 

šŸŽ‰ FOR FUN

Google Maps' Gemini AI plans your day surprisingly well — Hands-on with Gemini in Google Maps shows AI trip planning actually works / Tech Buzz (7 minute read)

SuperShrimp — Turn your Mac into a posture coach that stops you from sitting like a shrimp.

Google quietly releases free offline AI dictation app for iPhone — Google’s free offline dictation app just made paying $15 a month for Wispr Flow hard to justify / The Next Web (7 minute read)

 

🧿 AI-ADJACENT

modembin — paste it, share it, decode it. real modem audio

 

ā‹„