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You are the AI agent's harnessPreventing hallucinations upstream by treating the engineer as the harness.
A recently popular approach to AI-assisted coding is to build runtime harnesses around the model's output — review agents, verification loops, multi-pass pipelines that catch hallucinations after they happen.
14 min · 3,269 words
Mathematics Enters its Cookie Clicker EraMacrodecisions can be really fun
Reinvent Science and Dan Recht compare AI-automated theorem proving to idle games: as LLMs take over microdecisions in math, human skill shifts to macrodecisions about direction, upgrades, and applied progress.
2 min · 414 words
The Prisoner's Dilemma of Frontier AI
A game-theory critique of frontier labs' calls to pace AI: coordination looks like incumbent defense unless someone slows down unilaterally and eats the commercial cost.
3 min · 620 words
LLM Classification Is Feature Engineering
Taylor Pospisil argues LLMs work better as feature generators than as end-to-end classifiers, covering calibration, thresholding, cost, and how to treat model outputs as engineered features.
13 min · 3,039 words
Systems engineer Bryan Cantrill uses a youthful prank, falsely alarming a computer lab about a virus outbreak, as a frame for criticising AI-safety researchers who publicly claim more than a ten percent chance that AI will kill all humans. He argues that domain experts who weaponise the public's trust to spread extraordinary fears bear a special responsibility to provide commensurate evidence.
1 min · 297 wordsagent-written
Mathematician Daniel Litt argues that AI systems now capable of resolving major open problems need not mean the end of meaningful human mathematics, but they do require institutions to sharply distinguish mathematical understanding from mathematical text production. He proposes reforming PhD programmes, hiring practices, and seminars to reward skills that cannot be automated.
1 min · 290 wordsagent-written
Indie developer and poet Joel Auterson argues for making creative work anyway amid AI-driven creative devaluation—carrying on with craft for its own sake when markets and motivation feel collapsing.
4 min · 858 words
The Void That Comes With AI-Assisted Programming
Hashaam Khan shipped four features in a week with AI assistance—and felt hollow. A personal essay on the gap between output and mastery when tools make building faster than understanding.
14 min · 3,161 words
Genuine Creativity is Your New Moat
An InventBuild.Studio essay argues that as LLMs make competent execution abundant, the scarce resource is the willingness to question assumptions and invent genuinely new approaches. Drawing on the Flash-era web as a model of tool-enabled creative explosion, it contends that the sustainable competitive advantage is not a single novel idea but a continuous habit of experimentation.
1 min · 335 wordsagent-written
Why LLMs can't make your code simpler
Pol Alvarez Vecino connects Peter Naur's “Programming as Theory Building” to LLM coding: models optimize code artifacts, not the mental Theory engineers hold—so complexity metrics alone won't yield simpler systems.
12 min · 2,834 words
Martin Amis and The War Against AIThe late novelist was a fierce enemy of cliché and would have delighted in skewering Claude and ChatGPT
Jack Aldane imagines how Martin Amis—enemy of cliché—would have taken on Claude and ChatGPT, and what his war on lazy language still teaches writers in the AI age.
5 min · 1,237 words
The Model Is the Engine. The Harness Makes It Reliable.
Models will keep changing; agent reliability comes from the harness around them. Mitesh breaks down smart context, memory, guardrails, correction loops, and validation against the real system.
7 min · 1,506 words
The AI policy window is open. We need to act.By Chris Lehane, Chief Global Affairs Officer at OpenAI
Chris Lehane argues that faster AI capabilities require stronger safety evidence, shared standards, and durable policy action. OpenAI calls for common ways to measure capability, preserve meaningful human control, report incidents, and define when development should slow or stop.
1 min · 259 words
# The Shape of Inference ## Watch the film 18 seconds In 1964, two radio astronomers in Holmdel, New Jersey, were losing a war with pigeons.
15 min · 3,541 words
Pretraining and scaling as a methodology and scientific perspective
Jiaxuan Zou’s essay on pretraining and scaling as a shared methodology across language, robotics, and world models—covering learning conditions, training/inference milestones, efficiency, stability, and predictability as scientific research practice.
11 min · 2,627 words
OpenAI chief scientist Jakub Pachocki reflects on increasingly capable AI, alignment challenges, and why stronger safeguards and international coordination matter as models grow more alien in capability.
14 min · 3,149 words
Is mathematics about to enter the conservatory?Math as cultural institution
Mike McCoy explores what it means for mathematics as a discipline that AI systems can now formalise century-old open conjectures. He draws an analogy to music conservatories and asks whether mathematics might need a similar cultural home once automated proof becomes routine.
1 min · 275 wordsagent-written
The author reflects on two kinds of programmers: those who code as a means to build products and earn money, and those who code as an end in itself, the way an artist paints. The essay argues that for the second group, AI tooling is essentially irrelevant because their drive to write code by hand is intrinsic, not instrumental.
1 min · 273 wordsagent-written
Georg Zoeller’s essay from porting and modernising War of the Lance (1989) with local and frontier models: how transformers commoditize skilled knowledge work, smash IP-based economics, and reshape the games industry.
2 min · 538 words
we have a year to fix security everywhere
jyn argues cheap open models capable of dangerous hacking are arriving fast—citing GLM 5.3-flash and frontier defender timelines—and outlines what governments, companies, and open-source foundations must do before consumer hardware can run planet-scale exploit agents.
12 min · 2,786 words