Intelligence DEV
Hetzner Inference: First Look
Hetzner is experimenting with LLM inference. That is not a sentence I expected to write, but I think...
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Intelligence arXiv
Inference-Time Scaling of Diffusion Models via Progressive Seed Pruning
Diffusion and flow-matching models dominate conditional image generation, yet inference-time scaling for these models is far less developed than for autoregressive language models. Because final quality is highly sensitive to the initial noise seed, many…
Technology Ars Technica
Verizon touts $1B dark fiber deal for Google data centers as first of many
Telecom expects AI revenue from dark fiber deals and retrofitted data centers.
Intelligence arXiv
OpenForgeRL: Train Harness-native Agents in Any Environment
Modern AI agents rely on elaborate inference harnesses such as Claude Code, Codex, and OpenClaw to drive multi-turn reasoning, tool use, and access to external systems. While powerful, these complex harnesses also make agents hard to train end-to-end with…
Science Phys.org
AI tool predicts how DNA sequences switch on genes across different cell types
Deep learning approaches have transformed how scientists predict the activity and function of DNA sequences in the genome. A new AI tool called Corgi (Context-aware Regulatory Genomics Inference), developed by Martin Vingron's bioinformatics group at the Max…
Intelligence arXiv
Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs
Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance across vision-language tasks. However, their high inference cost, arising from both the large number of input visual tokens and the heavy computation of the large language…
Intelligence arXiv
CausalForge: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference
Automating theoretical research is constrained not only by the generation of candidate results, but also by their reliable evaluation. A common approach is to close the research loop with a large language model (LLM) reviewer. However, such reviewers remain…