AI agents generate text for decisions that can be made without words, adding token and compute overhead. The article cites OpenAI researchers spending $7,000 a day running agent workloads, and describes Jared Palmer releasing Kev models (0.8B, 4B, 9B) that do a single prefill-only forward pass with pointer-head probabilities instead of autoregressive decoding. Decision-making is shifted to probability scoring over a provided candidate list, with open-ended reasoning left to larger generative models and multi-decision batching supported.
China unveiled the blueprint and concept art for its HL-4 tokamak at the Shanghai Fusion Energy Conference & Fusion Week 2026, aiming to enable steady-state fusion burning operation. The HL-4 design uses fully high-temperature superconducting magnets generating a 25 tesla field. Construction in Shanghai is underway with an expanded schedule to reach steady-state burning, including AI-driven operation and reliability testing of the superconducting magnets under fusion conditions.
CrbonFree launched compliance software that measures how much energy and carbon an AI system uses and outputs an auditable report. The listing shows it has 29 followers. This adds per-call, per-model, per-provider carbon tracking for auditors and operators of AI workloads.
tokenizers refactored its Rust library to make tokenization faster while preserving the same token IDs and API as v0.23. The release candidate reports 3 to 30 times faster single-threaded encoding on an Apple M4 Max. This changes performance so GPUs can spend less time waiting for CPU tokenization, and a crates.io v1 pre-release is available as an install target.
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