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- 1US Military disables ad trackers over troop safety concerns●US Military disables ad trackers amid concerns over troops' safety
The US military has moved to disable advertising trackers on official websites amid fears the technology could expose service members' locations and habits. The concern is that ad tracking data, gathered through embedded scripts, could be harvested by adversaries and used to profile troops or infer sensitive movements, a risk heightened by current tensions with Iran.
- 2Magnitude launches self-optimizing inference engine for AI agents●Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents
Magnitude, a startup from Y Combinator's S25 batch, has launched an open-source self-optimizing inference engine designed for AI agents, debuting on Hacker News where it drew strong engagement. The engine aims to improve how agents run and refine their model inference automatically, with the code available on GitHub. Launch-day discussion is focused on the technical approach and how it compares to existing inference tooling.
- 3Redis creator launches ds4 for running LLMs locally●From the creator of Redis; run LLM locally with ds4
Salvatore Sanfilippo, the creator of Redis, has introduced ds4, a tool for running large language models on local machines. The project, hosted under the Dwarfstar name, is drawing attention among developers interested in self-hosted AI. Commenters are discussing its approach to local inference and what the involvement of a well-known open source figure means for the project's prospects.
- 4
Salvatore Sanfilippo, the programmer known as antirez who created Redis, has released ds4, a local inference engine for running DeepSeek 4 Flash and PRO models. The C-based engine targets Apple Metal, CUDA and ROCm, letting users run the DeepSeek models on their own hardware across NVIDIA, AMD and Apple Silicon GPUs. The project is drawing attention in open-source AI circles.
- 5Qwen 3.8 Flash Next 125B claimed to run fast on RTX 4090▼Run Qwen 3.8 Flash Next (125B) on consumer hardware (RTX 4090) at 100T/s
A project called Strata, shared on GitHub, claims it can run Qwen's 3.8 Flash Next 125-billion-parameter model on a single consumer RTX 4090 GPU at roughly 100 tokens per second. If verified, that would make a very large language model practical on high-end home hardware without a data center. The claim is drawing attention among developers interested in local AI inference, though independent confirmation of the speed figures has not been established.
- 6
Attention is turning to the economics of running large language models as a hosted service. Serving AI inference is costly, requiring expensive GPUs, heavy energy use and constant capacity planning, yet providers often price access aggressively to win users. The discussion explores why inference providers can operate at thin or negative margins, how GPU supply and demand shape pricing, and what this means for the sustainability of the booming AI services market.
- 7Engineer proposes TCP-style congestion control for routing LLM traffic●Routing LLM traffic across inference providers with TCP-style congestion control
A new write-up from Unblocked describes adaptive routing of large language model requests across multiple inference providers using an approach modelled on TCP congestion control. The system treats providers like network paths, backing off when a provider slows down and shifting traffic toward faster responses. The approach is drawing attention among developers interested in reliability and latency for LLM applications.
- 8
A new analysis tackles one of the startup world's thorniest economics problems: how to set subscription prices for AI coding agents whose compute costs can quickly exceed what customers pay. The piece weighs flat-rate versus usage-based models, noting that heavy users of agentic coding tools can burn through far more in inference costs than a typical monthly fee covers. Founders and investors are debating sustainable pricing as AI coding tools go mainstream.
- 9Astronomers detect radio waves from exoplanet for first time▼A planet beyond our Solar System sends an unprecedented signal: its radio waves detected for the first time
Astronomers have detected radio waves from a planet outside our Solar System for the first time, an unprecedented observation. The signal suggests it may be possible to study the magnetic fields and environments of distant exoplanets directly, rather than inferring them from light passing through their atmospheres. Scientists caution the detection needs confirmation, but if verified it would open a new window on worlds orbiting other stars.
- 10
Researchers report directly observing the hidden geometry of electrons, a long-theorized quantum property describing how electron wavefunctions twist in momentum space. Until now this geometry could only be inferred indirectly. The observation could deepen understanding of quantum materials and inform future work in superconductivity and next-generation electronics.
- 11Privacy tool reveals how much ChatGPT knows about you●I Asked a Privacy Tool What ChatGPT Knows About Me. The Result Was Terrifyingly Accurate
PCMag tested a privacy tool designed to show what personal information ChatGPT holds about a user, and found the results disturbingly accurate. The experiment highlights growing concern over how much data AI assistants can infer or retain about individuals, and is prompting readers to reconsider what they share with chatbots and how AI companies handle personal data.
- 12Philosophy and Theology Weigh In on the Design Argument▼Philosophy, Theology, and an Inference to Design
A new essay argues that philosophy and theology together support an inference to design, framing the design argument as a serious philosophical position rather than a purely scientific claim. The piece is being circulated among readers interested in science-and-religion debates, where arguments for design remain a recurring point of contention.
Repos
- Niko1221/Strata Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anth
- antirez/ds4 DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
- magnitudedev/magnitude Open source inference engine for agents that optimizes itself for your exact hardware. Compiles and tunes its kernels on
- ollaya-dev/ollaya Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollam
- incoai/splash A local inference engine for Apple silicon, built around the model.
- NVIDIA/Model-Optimizer A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture se
- pallavi-shekhar/ai-engineering-interview-questions-company-wise Your Cheat Sheet For AI Engineering Interviews at Top AI Companies - Questions and Answers.
- mizorewww/laya-coreml Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reprodu
- amitshekhariitbhu/ai-system-design AI System Design - Learn how to design AI systems built on LLMs, RAG, and AI Agents step by step.
- General-Instinct/InstinctFlash High-Performance Serving Runtime for Robotics Models