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AI

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

209 published articles

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

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

4 min read

Nature Neuroscience paper

Microsoft's new method turns black-box brain AI into readable theories

GCT translates uninterpretable LLM-based brain models into short phrases like 'food preparation' or 'location names,' then uses an LLM to write stories that causally test those explanations in real subjects. The method promises to bridge predictive AI and human-readable scientific theory.

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

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

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

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

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

3 min read

Artificial Intelligence

Microsoft open-sources Data Formulator 0.7 for enterprise AI analytics

Data Formulator 0.7 combines data connectors, context-aware agents, and an iterative workspace to let enterprise teams prepare, explore, and visualize data across fragmented systems without coding. The open-source release aims to reduce integration work and make analytical workflows reproducible.

2026-07-04

2 min read

LLM Inference Optimization

Aleph Alpha builds a theoretical inference model to decode DeepSeek V3 performance from hardware primitives

Aleph Alpha's theoretical model predicts DeepSeek V3 inference performance from hardware parameters alone, revealing how GPU count and interconnect bandwidth shift the bottleneck between compute, memory, and communication.

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

5 min read

Artificial Intelligence

AI as an extension of human intelligence, not a replacement

Modern AI systems are powerful not because they replicate human intelligence, but because they extend structures already present in human cognition and language. This perspective helps explain both AI's capabilities and its recurring boundaries, including hallucinations and compositionality gaps, and shifts the focus of AI safety from rogue AI narratives to system-level governance and human responsibility.

2026-07-04

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