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- weekend ai reads for 2026-07-24
weekend ai reads for 2026-07-24
direct links are available on the web at https://thataithing.beehiiv.com/p/weekend-ai-reads-for-2026-07-24
š° ABOVE THE FOLD: TOKENS
I burned all my tokens researching how to save tokens / Quesma blog (11 minute read)
My goal was to understand the entire state of so-called tokenomics. I wanted to know what monitoring systems exist, how teams govern their AI spend, and which optimization tools and practices actually work, both in the papers and in the real world.
via carlo, The boom in AI cost-cutting startups may just be a token gesture ā Startups promising to tame runaway AI spending are multiplying. Investors and founders say the problem is more a feature than a company. / Pitchbook (6 minute read)
US Army Runs Out of AI Tokens, Forces Usage Limits / Tech Buzz (7 minute read)
Syntheia Slashes Token Costs With Novel Approach / Artificial Lawyer (7 minute read)
The token savings are therefore not gained by switching models or āreroutingā to cheaper LLMs, but by changing the starting conditions of the doc review.
CEO Pleads With AI Industry to Stop Charging So Much to Replace Human Labor ā āWe need to see the pricing for AI come down.ā / Futurism (5 minute read)
surprisingly, not The Onion
š» QUOTES OF THE WEEK
I dont think we understand what two people fighting each other with 1 billion tokens a minute will look like. Small property disputes will look like megacap antitrust lawsuits
While the internet has opened up new doors for musicians, the increasing corporatization and algorithmic takeover of online spaces has done irreparable damage to organic music discovery and independent communities.
š„ FOR EVERYONE
If Youāre Reading This, Youāre Probably an AI Bot / Gizmodo (10 minute read)
related, What just happened to TheNumbers.com should worry us all ā The inside story of how one of film dataās most trusted sites vanished overnight, and why every website you rely on is more fragile than you think. / Stephen Follows, Substack, archive (17 minute read)
Hugging Face confirms breach affected internal datasets and credentials, urges users to take action / Techcrunch (5 minute read)
related (1), OpenAIās disconcerting hack of HuggingFace / Gary Marcus, Substack, archive (6 minute read)
Although there are lots of caveats around what happened, we are just going to see more and more of the same. We have no guarantees that such incidents can be prevented, and no idea how serious things might get.
related (2), Security incident disclosure / Hugging Face blog (18 minute read)
When we started the log analysis, we first used frontier models behind commercial APIs. This did not work: the analysis requires submitting large volumes of real attack commands, exploit payloads, and C2 artifacts, and these requests were blocked by the providersā safety guardrails, which cannot distinguish an incident responder from an attacker.
We do not know which model powered the attackerās agents, whether a jailbroken hosted model or an unrestricted open-weight one; either way, the attacker was bound by no usage policy, while our own forensic work was blocked by the guardrails of the hosted models we first tried.
AI advice made people three times less accurate but twice as confident, researchers found ā Willingness to say āI donāt knowā collapsed from 44% to 3% when AI was available. Monetary incentives barely helped. / The Next Web (3 minute read)
A flood of faces / Shephali Bhatt, Substack, archive (16 minute read)
āShe had a few wrinkles. My mother was ageing,ā he says, typing AGEING in all caps on text to underline his shock. He hadnāt considered the way many video-calling apps now apply face-smoothening filters by default.
š FOUNDATIONS
A Functional Taxonomy of World Models / Dr. Fei-Fei Li, Substack, archive (13 minute read)
The first kind of world model is a renderer. A renderer outputs observations in the form of pixels meant for human eyes, and the quality that matters most is visual fidelity.
The second kind is a simulator. A simulator outputs state: a geometrically, physically or dynamically faithful representation of the world that humans and computer programs can both compute on and interact with.
The third kind is a planner. A planner outputs actions.
What does AI look like? ā Long called āblack boxes,ā AI models are increasingly yielding their secret inner workingsāeven, this playful guide shows, in terms that anyone can understand. / IBM blog (43 minute read)
š FOR LEADERS
AI isnāt killing consulting. Itās killing time as a proxy for value / Mark Wilson (5 minute read)
Customers are actually buying judgement, experience and confidence. Theyāre buying better decisions, reduced risk and faster progress.
AI changes the cost of delivering those things, but it doesnāt diminish their value. If anything, it increases the importance of knowing when to trust AI, when to challenge it, and how to turn its output into something genuinely useful.
Questions Boards of Directors Should Ask to Evaluate AI Strategy ā AI is the top strategic priority for most CEOs ā and investors, regulators and the public are paying close attention to how organizations use and deploy it. / Gartner (8 minute read)
A scorecard for the AI age / OpenAI blog (10 minute read)
š FOR EDUCATORS
The Myth of Automated Learning / New Cartographies, Substack, archive (10 minute read)
Armed with generative AI, a B student can produce A work while turning into a C student.
āGullible and ridiculousā: Dave Eggers on why no one will read AI novels / The Financial Times, archive (16 minute read)
Eggers argues that the advent of generative AI is destroying an animating force of his work: the act of learning by doing. He told OpenAIās staff: āThe effect of ChatGPT on educatorsā lives is catastrophic. Whether you intended to do it or not, youāve made every teacherās life infinitely more difficult than it was two years ago. So, just let that settle inā.ā.ā.ā
āIf students are using it to compose, which is the biggest tragedy of all, theyāll never learn to write. And their voice is stolen from them. Theyāll never have the ability to say their truth and tell their own story. And thatās silencing an entire generation or two.ā
Twelve Provocations for the Future of AI and Assessment / Humanist (3 minute read)
AI is changing what students need to learn and how schools prove it. Explore 12 provocations for building assessment that measures human capability.
1. Donāt start with cheating. Start with the purpose of school.
2. Measure capacities rewarded by the new economy.
3. Non-traditional teaching strategies can make thinking visible.
4. Cognitive offloading is the enemy, not AI use.
and more, but it requires giving up an email address
How āChaosā Surrounding AI Can Sink a College Presidency / The Chronicle of Higher Education (10 minute read)
āPulling teeth to get him to get proactive with strategy and now this is what we get,ā one texted to another. The exchange, which surfaced in public records obtained this month by The Chronicle, was first reported by the Milwaukee Journal Sentinel.
Soon after, President Jay Rothman would be out of a job.
š FOR TECHNOLOGISTS
How we learned to trust our AI code reviewer at DoorDash / Door Dash blog (20 minute read)
This is where most benchmarks cut a corner we refused to. Preparing labels took more than importing human feedback. We had the engineers who wrote the PRs annotate candidate findings, then compared three sources against each other: the human annotations, the original candidate findings, and an agentic judge. Human feedback was valuable but frequently wrong: reviewers missed valid issues, accepted weak claims, or read a historical PRās context differently than the next reviewer would. Where the three sources disagreed, we re-reviewed the evidence by hand and resolved it, and those resolved cases became calibration data for the judge.
10 Years to Build the Language. 11 Days for AI to Rewrite It. Then the Money Stopped. ā A programming language finally proved it could ship real software. Then its new owner rewrote the book on what our future will look like in open source / Can Artuc, Medium, archive (10 minute read)
NameThatUI ā What Is This UI Element Called?
The visual dictionary of UI. Describe the thing in your own sloppy words; you get the real name, the API symbol, and a paste-ready prompt for your coding agent.
How Enterprises Should Architect Their Data Stack to Support AI at Scale ā Unlock the full value of AI by building a data stack that scales, adapts and delivers results. / Gartner (5 minute read)
š FOR FUN
Which AI predicts the World Cup best? We tested ChatGPT, Claude, Gemini, Copilot and Perplexity / Onder blog (11 minute read)
OverpAId ā Fire Your CEO. Hire The Future.
Last updated: approximately as recently as your CEO's five-year plan.
MLB restricts dugout iPad use to prevent AI help with strategy. Ottavino says Mets were involved / AP News (6 minute read)
itās always the Mets or Astros, innit
Decoy Font ā A TTF font that hides what you type
A TTF font that hides what youāre typing from AI. Type a message where each letter contains a decoy.
much less nauseating than last weekās font
District 9 director Neill Blomkamp releases first short film made entirely with AI video generation / The Decoder (4 minute read)
The faces and voices of 32 real people were used under licensing agreements, and human artists created the concept art.
the 13-minute film: Nightborne ā A Neill Blomkamp Sci-Fi Film / Barley Studios, YouTube (13 minute video)
AI-altered images on birdwatching forums putting research at risk ā Experts warn increase in enhanced photos on birding platforms creating fake sightings, threatening credibility of tool used by scientists / The Guardian (5 minute read)
š§æ AI-ADJACENT
Japanās Design for Humans / Nobody Wants This, Ghost (8 minute read)
American service providers, private and public, increasingly run like ghost ships.
share
Japanese technology and design seemed in greater service to humans, their journeys, and enterprises.
I believe in files / Greg Wolanski (3 minute read)
Itās possible I believe in files partly because I know how things are built in the cloud. Building things on clouds even sounds bad.
ā