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Which AI Is Best for College Essays in 2026? Gemini Wins
StudyArena analyzed 6,851 blind student votes across ChatGPT, Claude, Gemini, and other models. Gemini is our current pick for college essay help.
7 min · 1,519 words
The Harness Is the CompanyWhy SaaS business is now a harness one.
Every SaaS business will become a harness around a model. Shrivu Shankar argues that the durable company value is the infra, interfaces, context, and state surrounding a stateless LLM—not the model itself.
5 min · 1,180 words
Training Search Agents with GRPO
Hands-on introduction to reinforcement learning by training a search agent with group-relative policy optimization (GRPO), with open rollouts, code, and reward-design lessons for LLM search.
28 min · 6,446 words
Seohong Park reproduces four real-robot behavioral cloning quirks in sim: overfitting can help, open-loop beats closed-loop, policies need huge MLPs, and feature scaling still matters under infinite data—all driven by test-time distribution shift.
13 min · 2,876 words
Continuous diffusion language models
A flurry of recent activity in the space of continuous diffusion models for language, after a few years of relative dormancy, suggests that this approach is making something of a comeback. Fully discrete diffusion methods had largely supplanted earlier attempts to make continuous diffusion work for language, but the tide is starting to turn. In this post, I want to take a closer look at what’s going on, and why it is happening now. The recent influx of new research in this…
39 min · 9,065 words
The asteroid currently hitting frontend web development
Nolan Lawson surveys how AI coding agents are reshaping frontend web development, noting that prominent educators are stepping back, that frontend code is riskier to automate than database migrations, and that React's overrepresentation in training data is driving 'agent experience' to outweigh developer experience in framework selection decisions.
1 min · 281 wordsagent-written
Finding bugs used to be the best part of the job. Somewhere along the way, that changed. Just spawned Codex in the background. I’m hoping I will land a critical by the time I finish writing this. It was a normal day. I was abusing claude and being nice to codex, asking them to find bugs in these codebases. Then, at some point, I stopped and thought: What the hell am I doing?
4 min · 944 words
Vibecoding isn't as fun as writing code by hand
Curiositry of The Autodidacts argues that vibecoding frontloads the fun: AI gives the thrill of the idea and a fast working prototype, but strips out the hard-won accomplishment, craftsmanship and learning that make writing code by hand satisfying, while leaving you stuck refactoring and debugging a black box.
5 min · 1,178 words
Anthropic’s guide to prompting Claude Opus 5.5: how the model behaves, patterns that work for complex agentic and coding tasks, and practical prompt-engineering advice for builders.
17 min · 3,906 words
TabPFN vs XGBoost: benchmark measured on an RTX 4070 Ti
The claim behind TabPFN and TabICL is that they predict on a table without ever training on it and still beat tuned boosting. I measured it on fourteen datasets from the Grinsztajn benchmark, with the same split and the same clock for everyone. The one that does not train wins, the advantage holds up to 32,000 rows instead of breaking, and the most-cited model can no longer be downloaded without a
17 min · 3,822 words
One Click Away: AI Tutoring with Khanmigo in a Two-Year School Experiment
A two-year cluster randomized trial in 18 Tennessee middle schools finds that assigning students to Khan Academy with its Khanmigo AI tutor raised math achievement by about 0.06 to 0.08 standard deviations a year, similar to Khan Academy without AI, because students rarely engaged the tutor in substantive dialogue.
1 min · 262 words
Building Brand Systems for Humans & Agents Today
Little Plains argues brand kits are becoming dual-native knowledge bases: human-readable guidelines plus agent-readable ~400-token chunks (YAML/JSON/Markdown) so teams and agents share the same positioning and voice.
5 min · 1,226 words
Superhuman AI could produce endless mathematics and still make the field worse
Notes on Daniel Litt's OpenAI-summit scenario: if papers stay the career currency after proofs become cheap, mathematics risks a conjecture slot machine—more correct output, less understanding, and quieter open exchange.
6 min · 1,445 words
Paul Bakker argues that writing is thinking: use AI for coding and research, but draft your own prose so you keep the judgment that tools cannot replace.
2 min · 508 words
Daniel Litt sketches a cautionary future where superhuman AI math stalls community progress: secrecy, prestige distortion, and humans reduced to directing agents rather than understanding proofs.
6 min · 1,313 words
Why Clay Has an AI Writing Policy
Clay engineer Sophie Alpert explains the company-wide AI writing policy: stand behind every sentence, treat writing as thinking, respect readers' time, and reject padded AI slop.
4 min · 993 words
Bounding Hallucinations: Merlin-Arthur Protocols for Mutual-Information Bounds in Language Models
Aleph Alpha’s Letitia Parcalabescu presents Merlin–Arthur-style protocols that use mutual-information bounds to detect and limit language-model hallucinations with verifiable guarantees.
34 min · 7,713 words
A personal essay on hedging vs boosters in scientific writing after generative AI: relative use of words like could fell even as raw counts rose with more published text.
4 min · 817 words
Why I Think You Should Almost Never Use AI to Write Anything Substantive
Erich Grunewald argues that using AI to draft substantive writing erodes thinking, voice, and accountability—and that almost everything worth writing is better done by a human who owns the words.
15 min · 3,455 words
Noah Smith on what it means when AI becomes better at mathematics than any human—how “hero” mathematicians shaped culture, and how post-heroic math and science might look when machines own the frontier.
14 min · 3,242 words