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AI

Artificial intelligence: LLMs, agents, diffusion, vision, NLP and the latest from top labs.

164 published articles

Featured3 min read

AI Research

The verification horizon: why verifying coding agents is now harder than building them

A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, that intuition has inverted: generating complex solutions is now easy. The hard part is reliably verifying them.

2026-07-05

2 min read

Bot Traffic

Cloudflare to block mixed-use web crawlers by default from September 2026

Cloudflare will block mixed-use crawlers from ad-hosted pages by default from September 2026, targeting bots that blend search, agent, and AI training use. The policy aims to give site owners more control and commercial opportunities as non-human traffic now exceeds human traffic online.

2026-07-05

Featured4 min read

Deep Learning

M3D and Real-Guidance Bring Dataset Distillation to High-Resolution Realms

Dataset distillation has long been stuck on low-res benchmarks, but a new approach called M3D changes that. By combining multi-scale matching, a data manifold prior, and a Real-guidance strategy, it scales to ImageNet-1K at 128×128 resolution, achieving 68.5% top-1 accuracy with just one image per class and cutting memory usage by ten times.

2026-07-05

2 min read

Artificial Intelligence

Ai2 cuts satellite imagery AI costs by 3x with a smarter token trick

Ai2's OlmoEarth v1.1 reduces compute costs by up to 3x compared to v1, enabling cheaper large-scale map refreshes. The key innovation is merging resolution-based tokens for Sentinel-2 imagery, cutting token counts by a factor of three while preserving performance through modified pre-training.

2026-07-05

6 min read

AI Research

How maxproof turns generative verifiers into a proof revolution engine

MaxProof is a test-time scaling framework that models mathematical proof generation as an evolutionary search process. By combining Proof RL, verifier alignment, and refinement augmentation, it turns unreliable generative verification into a trustworthy reward system for training and inference.

2026-07-05

2 min read

Deep Dive

Aleph Alpha builds theoretical inference model for DeepSeek: Deriving performance from hardware primitives

Aleph Alpha created a theoretical inference model for DeepSeek v3 to estimate throughput from hardware parameters, analyzing trade-offs across GPU setups to help practitioners optimize performance and cost for large MoE models.

2026-07-05

2 min read

AI Research

Llms corrupt your documents when you delegate: a close look at the delegate-52 benchmark

The DELEGATE-52 benchmark reveals that current LLMs accumulate fidelity degradation when entrusted with multi-step document edits. Errors affect 19–34% of artifact content over 20 iterations, though Python workflows show less than 1% loss. The study is a diagnostic tool, not a verdict on real-world AI utility.

2026-07-05

5 min read

Model Release

DeepSeek-V4 preview lands, and the open-weight math gets harder for everyone

DeepSeek unveils DeepSeek-V4 preview with top-tier reasoning and stronger agent abilities, now available across platforms. The release signals a major escalation in the open-weight AI race, putting pressure on OpenAI and Google to justify their closed-source strategies.

2026-07-05

4 min read

Cryptographic Privacy

Vega brings zero-knowledge proofs to identity verification in under 100 ms

Vega enables users to prove facts from government IDs without revealing the credential itself, using ZKPs generated in under 100 ms on commodity hardware. It targets real-world formats like mobile driver's licenses and the EU Digital Identity Wallet, with a fold-and-reuse scheme that reduces proof cost for repeated presentations.

2026-07-04

4 min read

AI Research & Development

Ma Jiaqi taught MiniMax engineers a hard lesson about forgotten tokens

MiniMax's internal investigation into why its M2 model couldn't output the name 'Ma Jiaqi' revealed a structural mismatch between pre-training vocabulary and post-training data distribution. The root cause: low-frequency tokens' lm_head vectors drift during SFT, losing generation ability while retaining understanding. A full-vocabulary coverage fix resolved the issue and also mitigated language mixing in Japanese.

2026-07-04

1 min read

Artificial Intelligence

MiniMax's new M2.5 coding model tops the benchmark at 5% of the price

MiniMax's M2.5 model tops the Multi-SWE-Bench coding benchmark, beats mainstream models on workspace tasks, and costs a tenth to a twentieth of competitors. Open-source weights are on HuggingFace.

2026-07-04

3 min read

Research analysis

AI document corruption in delegated workflows: what a new stress test reveals

The DELEGATE-52 benchmark evaluates AI systems on long-horizon delegated document editing tasks, finding that frontier models accumulate semantic fidelity loss of 19–34% over 20 iterations. Python workflows showed less than 1% degradation on average, but the study underscores that reliable long-horizon delegation remains an open challenge.

2026-07-04

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