TurboFieldfare runs Gemma 4 26B-A4B on Apple Silicon with ~2GB RAM by keeping core weights + an FP16 KV cache resident and streaming only the routed MoE experts from SSD. This post explains the memory pieces (MoE routing, KV cache, quantization) and walks through building, installing, and tuning the runtime.
KOReader is an open-source e‑ink eBook reader that makes PDFs feel workable: reflow, OCR-assisted text extraction, zoom modes, and smarter navigation. It also supports customization through Lua-based plugins.
A jailbroken Kindle can join your Tailscale tailnet, but apps often fail without proper routing. New community modes add SSH by default, a proxy mode (SOCKS5/HTTP CONNECT on localhost ports), and optional kernel TUN for device-level networking—turning the Kindle into a practical tailnet client.
Codex Security combines a repo-aware threat model, sandbox validation, and minimal patch suggestions to reduce false positives. Its open-source CLI and TypeScript SDK let teams scan owned repositories, export findings (including SARIF), and integrate security checks into CI or pre-commit hooks.
Kimi Delta Attention (KDA) turns attention into a recurrent “fast-weight” state update. By starting from softmax attention, removing the softmax bottleneck, then adding delta-rule correction and diagonal (channel-wise) forgetting, KDA becomes an almost inevitable refinement of linear attention.
Japan’s JMA reports earthquakes using both magnitude and seismic intensity. For the 7.1 Kumamoto-area event, seismic intensity reaches 7 in Uki City and Hikawa Town—an intensity category tied to sensor-measured shaking, not just overall earthquake “size.”
Translating rare Hebrew and Latin astronomy texts isn’t just about language. A real pipeline must preserve exact sexagesimal math, tabular values, and diagram structure while tracking uncertainty and reconciling discrepancies. Ars Astronomica’s approach shows how AI-assisted translation can be engineered for manuscript-grade fidelity.
Open-weights models raise real safety and national-security questions, but a blanket ban targets the wrong lever. A more technical approach constrains compute and distillation pathways, and adds mandatory pre-release safety testing for sufficiently capable models.
MAI-Cyber-1-Flash inside MDASH aims to make AI vulnerability discovery evidence-first. Instead of guessing, the multi-agent harness prepares, scans, validates, deduplicates, and proves bugs—while routing work to control token cost. The result is a security workflow built for continuous defense, not occasional scanning.
Bun’s Zig→Rust rewrite reportedly merged into `main` after 100% CI test pass, using a large agent workflow and about $165k in token costs. Yet as of late July 2026, the latest visible tagged release remains v1.3.14 from May 12, highlighting the difference between “merged” and “released.”