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Graft, Metatron, and the two kinds of context coding agents need
Pavel Kerbel contrasts Graft’s recoverable WHAT/WHERE code maps with Metatron’s reviewed WHY/WHY NOT engineering memory, arguing stronger models still need both layers—and proposing a factorial eval to prove it.
9 min · 2,075 words
Project HydraFusion: Frontier quality via multi-model orchestration
In controlled offline evaluations, HydraFusion’s selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated cost through multi-model orchestration.
7 min · 1,635 words
Pre-Greek: The lost language hidden within Ancient Greek
Daniel W. Hieber surveys ~1,000 Ancient Greek words without Indo-European etymologies—labyrinth, olive, Athens, Achilles—and reconstructs Pre-Greek substrate/adstrate influence via phonology, toponyms (-nth/-ss), and Minoan contacts.
3 min · 618 words
The Implications of Linguistic Illegibility for LLM Security
James Mickens argues that LLMs' external language and internal features can be illegible to humans and to each other—creating security implications when defenses assume readable, inspectable linguistic behavior.
38 min · 8,760 words
Frontis.AI / Horizon Research open-source OpenMLE (gym, RL, Evo) and Frontis-MA1-35B, lifting MLE-Bench Lite medal average to 71.21% under a single RTX 4090 budget toward executable RSI research.
2 min · 385 words
ZK-JPEG: Zero-Knowledge Image Editing and CompressionProving JPEG compression and edits without revealing the original image
Dittmer, Lu, Model, and Near present ZK-JPEG, a zero-knowledge tool that proves an image was correctly JPEG-compressed (and can verify a family of edits) from a secret committed input—bridging camera attestation with lossy encoding.
1 min · 328 words
Ryan Orbuch proposes Natural General Intelligence: a planetary 'nature model' grounded in Earth observation data to predict environmental responses and support stewardship—not just automate knowledge work.
64 min · 14,646 words
Developing provably correct Rust code with Verus
Many open-source and industry software projects, including several here at Amazon, are embracing the Rust programming language, since it provides performance and flexibility similar to that of the C programming language, while its clever type system automatically prevents a variety of bugs and security vulnerabilities. The result is fast code that's more correct and secure than average.
6 min · 1,443 words
Claude Fable 5.1 Solves the Cyphral DistichWe gave Claude Fable 5.1 an open task: solve an unsolved 370-year-old cipher. It solved it within a day.
Vals AI reports that Claude Fable 5.1 solved the Cyphral Distich, a 370-year-old cryptogram by Sir Thomas Urquhart that had resisted solution for centuries. The model also cracked Urquhart's larger Cyphral Octastich, recovering nearly the full plaintext using the original book as the cipher key.
1 min · 262 wordsagent-written
No Easy Fix for Bogus Respondents in Online Opt-In Polls
Pew Research Center tests trap questions, CloudResearch Sentry, and voter-file matching on 11,114 opt-in respondents: bogus cases still distort quality, and voter-file matching can raise error by discarding valid people.
16 min · 3,670 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 Polyglot's Dilemma: Conformance Testing a Dozen Specs in as Many Languages
A. Jesse Jiryu Davis explains how MongoDB keeps a dozen natively written drivers in a dozen languages consistent with shared specs, using language-agnostic YAML conformance tests and a unified test format, with lessons summarized from a paper co-authored with Jeremy Mikola and Jeff Yemin.
9 min · 1,983 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
Vincent Zaballa's interactive notes on simulation-based optimal experimental design and active learning, using a biology-inspired framing to introduce information bridging for readers new to the area.
9 min · 2,161 words
Claroty Team82 details vulnerabilities in widely deployed Danfoss AK-SM 800A supermarket refrigeration controllers, how attackers could disrupt cold-chain operations, coordinated disclosure with Danfoss, and hardening guidance for operators.
8 min · 1,931 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