3. Dear Microsoft, enough is enough (www.politico.eu)

Our global coalition of innovative developers promotes genuine competition and users’ freedom of choice. It’s time for Microsoft to do the same.

8. Watching a Z80 from an RP2350 (emalliab.wordpress.com)

I’m messing around with the Raspberry Pi Pico RP2350 and PIO and at some point want to see if I can hook it up to a Z80. As a starter, I’ve been experimenting with seeing if I can get a…

12. SpaceX: Flying High on Impunity (georgiebc.wordpress.com)

What very interesting times we live in. On the one hand, we are about to make batteries out of sodium instead of lithium, and grow bones from sheep’s wool instead of punishing anyone with weakening…

15. We spent $50 to measure Pearl's "AI mining" – 320K GPUs produce zero AI (arxiv.org)

Pearl, a Layer-1 blockchain with high-profile AI industry endorsements, markets its Proof-of-Useful-Work (PoUW) protocol as simultaneously securing the network and performing AI inference. We present the first systematic empirical measurement of a deployed PoUW system, finding that Pearl's 24 EH/s network -- representing approximately 320,000 GPU-equivalents consuming an estimated 112 MW -- produces zero useful AI computation. Budget GPU rental prices rose 38% and utilization surged from 57% to 94% following the mining software's public release, displacing legitimate research workloads.
Our measurements span five dimensions: (1) network composition analysis of 8,012 workers shows all have inference-capable hardware, yet the dominant mining software contains no inference code; (2) the verification protocol accepts random matrices by design, confirmed by 44 pool-accepted shares from our open-source miner across NVIDIA, AMD, CPU, and Apple Silicon hardware; (3) statistical distribution checks are trivially defeated by adversarial Gaussian sampling; (4) mining is unprofitable at current PRL prices ($0.21) across all GPU tiers (-54% to -72% ROI); and (5) the mining computation is commodity integer arithmetic portable to any hardware platform, offering no vendor lock-in. These findings quantify the verifiability-usefulness tension identified theoretically by Leinweber et al., providing concrete measurements of its magnitude and economic consequences in a deployed system.

16. Do We Need Billionaires? (bjhess.com)

A significant portion of the population in the USA still thinks of Reaganomics as certified fact rather than a largely discredited theory. By this mindset the engine of our economy requires people to strive for a ton of money. A rising tide lifts all boats and all that. First, I got to wondering, were US billionaires even a thing at the end of Reagan’s term? As a tween at the time, I couldn’t really remember. Turns out, yes: Sam Walton • $6.7 billion • Wal-Mart Stores John Kluge • $3.2 billion • Metromedia Ross Perot • $3.0 billion • Electronic...

19. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate (arxiv.org)

Multi-agent debate has been shown to improve reasoning in large language models (LLMs). However, it is compute-intensive, requiring generation of long transcripts before answering questions. To address this inefficiency, we develop a framework that distills multi-agent debate into a single LLM through a two-stage fine-tuning pipeline combining debate structure learning with internalization via dynamic reward scheduling and length clipping. Across multiple models and benchmarks, our internalized models match or exceed explicit multi-agent debate performance using up to 93% fewer tokens. We then investigate the mechanistic basis of this capability through activation steering, finding that internalization creates agent-specific subspaces: interpretable directions in activation space corresponding to different agent perspectives. We further demonstrate a practical application: by instilling malicious agents into the LLM through internalized debate, then applying negative steering to suppress them, we show that distillation makes harmful behaviors easier to localize and control with smaller reductions in general performance compared to steering base models. Our findings offer a new perspective for understanding multi-agent capabilities in distilled models and provide practical guidelines for controlling internalized reasoning behaviors. Code available at https://github.com/johnsk95/latent_agents

27. External Clock Generation on RTX 50 Series (www.xtremesystems.us)

Pushing past Nvidia imposed performance limitations on RTX 5090By PickleRick of Xtreme Systems

Credits to Turbogear of Xtreme Systems, this would not have been possible without his expertise and RF engineering backgroundSpecial thanks to ElmorLabsBrief history

Starting in the late 1970s, thru the 80s, and into the early 90s, many of the first overclocks were achieved thru crystal swapping. Systems from this time period often had no provisions for altering clock speeds via software or jumpers.

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