Barstool’s Portnoy announces intention to hold Bitcoin down to zero following multiple unsuccessful attempts to time the market.
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Barstool’s Portnoy Plans To Hold Bitcoin Down To Zero After Timing It Wrong Every Time
Americans traded $571 million on Polymarket politic bets despite U.S. ban
U.S. citizens reportedly wagered $571 million on Polymarket political markets despite legal restrictions, raising concerns about enforcement and regulation.
RHEO On The Web: Find Your Flow
RHEO launches a web version that runs instantly in browsers, offering a private, offline, and immersive fluid simulation experience without downloads.
When Does Cheap Memory Come Back? The 2027–2029 Question
Memory prices are expected to remain high through 2028–2029, with relief unlikely before then due to industry capacity and demand factors. Here’s what is known.
Build, Rent, Or Quantize: Cutting Your Memory Bill Without Cutting Capability
Exploring how AI practitioners can cut memory expenses through building, renting, or quantizing models, with a focus on recent advancements like TurboQuant.
The Real Cost of a Local-Inference Rig in 2026
Analyzing the true expenses of building a local inference setup in 2026, including hardware costs, VRAM constraints, and strategic considerations for AI practitioners.
RHEO On Steam: One Toy, Every Screen
RHEO, the fluid art app, is launching on Steam, offering a seamless experience across PC, Steam Deck, Steam Machine, and VR, with cloud sync and shared seeds.
The Eye Over the City: How Wide-Area Motion Imagery Works — and Where It Goes Blind
An in-depth look at how Wide-Area Motion Imagery (WAMI) works, its applications, limitations, and future developments in surveillance technology.
Software-Defined Warfare: How Ukraine’s Delta Turned the Battlefield Into a Shared, Real-Time Map
Ukraine’s Delta battlefield system, built on cloud-native tech and commodity hardware, enhances real-time situational awareness and operational speed.
Apple Silicon’s Quiet Memory Advantage
Apple Silicon chips quietly outperform discrete GPUs in handling large AI models thanks to unified memory, offering capacity at lower cost but with slower speed.
