LLM inference no longer looks like “CPU submits, GPU generates.” As assistants become agentic, tool calls and orchestration move onto the critical path, making CPU-heavy serving practical. This post breaks down prefill/decode, KV cache, and the software techniques (continuous batching, prefix caching, chunked prefill) that make CPU inference viable.
NASA reported that Voyager 2’s power margins had become “razor thin,” requiring new energy-saving changes so its remaining science instruments could keep operating for at least another year. The updates build on the Big Bang strategy—batch-swapping power-consuming devices with lower-power alternatives—after testing it on Voyager 2 first. ([space.com](https://www.space.com/space-exploration/voyager
DeepSeek V4 Flash 0731 is a MoE model release evaluated on ARC-AGI-2 with multiple reasoning-effort modes. It reports 61.4% on ARC-AGI-2 Semi-Private at $0.04/task (max effort), alongside efficiency-focused design like long-context attention and DSpark speculative decoding.
Oracle-backed OpenJDK has reportedly moved to block submissions of AI-generated code, while still allowing private AI use for debugging and review. The policy reflects safety, security, and IP/provenance concerns—and highlights a growing split between internal AI workflows and external open-source accountability, as described in a Dealroom.co feed item.
The U.S. Department of the Interior reportedly reached a ~$1.22B deal with RWE to buy out offshore wind leases and reroute investment toward LNG and gas infrastructure. The decision highlights how offshore wind permitting timelines can translate into billion-dollar exit agreements.
AI can generate stunning demos quickly, but a prototype isn’t the same thing as a product. Real products survive real usage with real users, measurable value, and a feedback loop that turns learning into improvement.
AMD’s acquisition of Taalas points to a new inference strategy: etch model weights into silicon so token generation runs far faster than typical GPU streaming. The upside is throughput; the cost is reduced flexibility when models change.
Seven-day PCB turnaround isn’t magic—it’s schedule engineering: reliable BOM buildability, DFM-aligned manufacturing files, end-to-end traceability, and acceptance standards that prevent late surprises.
Mario Kart builds are a multi-objective optimization problem: speed, acceleration, handling, weight, and mini-turbo all trade off. Pareto’s idea filters dominated builds to leave a Pareto front of genuinely different, not-obviously-wrong options.
Botany feels intimidating until you learn the organizing ideas behind names and classification. Latin scientific names keep identities clear, and taxonomy becomes method once you understand monophyly and synapomorphies.