After all, why shouldn't we [ab]use the CLI to recreate 2048 in the Superlogical multiplexer? Amazing work by a tester, not by me. The final boss will be getting DOOM running where every pixel is its own terminal. Software should be fun.

BlackRock $BLK wrapped up a $12.5 billion bond sale tied to a Meta Platforms $META data center project in Texas The 2048 note sold at a yield premium of 2.875% over 10-year Treasury yields - Bloomberg

GPT-Image 2.5 looks way stronger than previous models in action. Prompt below: Create a single square 1:1 artwork, 2048 × 2048. "SCENE AND COMPOSITION A giant Japanese dragon confronting a lone samurai in a vast windswept grassland. Wide view, fixed low camera, both subjects clearly situated in the same landscape. The dragon dominates the left side; the full-body samurai stands on the right, facing left toward the dragon. Leave a clear gap between them. A low, gently rolling horizon divides the open sky from the dense grassy field. DRAGON An unmistakably reptilian Japanese serpentine dragon with a long coiled body and an elegant S-curving neck. Large overlapping scale plates, broad segmented belly scutes, hard triangular dorsal spines, swept-back antler-like horns and a few long, smooth whiskers. An elongated reptilian skull with visible nostrils, an armored brow and a slightly open jaw showing sharp conical teeth. Powerful clawed forelimbs planted in the grass. Its head angles downward toward the samurai. Completely hairless: no fur, mane, beard, feathers, wolf ears or mammalian muzzle. No wings. Define the body with individual scale plates, never hair-like strokes. SAMURAI A full-body warrior seen from a three-quarter back/profile angle. Traditional kabuto helmet with a crescent crest, menpo mask, layered shoulder guards, intricately laced lamellar armor, divided armored skirt and shin guards. Knees slightly bent, feet firmly planted, torso leaning into a defensive stance. Both hands hold one katana diagonally upward-left between him and the dragon. Long cloth ties stream sideways in the wind. FIELD Dense tall grass fills the foreground and stretches far into the distance. Large bent blades and seed heads near the camera, progressively finer grass toward the horizon. Broad curved bands of leaning grass suggest wind rippling across the entire field. Rich, irregular white scratches describe individual stems against deep black masses. PALETTE AND RENDERING A strictly limited palette of cool dark cherry red, approximately #901C35#, absolute black and near-white. Flat cherry-red sky; the same red appears between grass blades and in the samurai’s cloth ties. Realistic dimensional forms translated into an aggressively thresholded black-and-white xerox print. Crushed black shadows, fractured white highlights, dense stippled dithering, scratched engraving, irregular ink coverage and crunchy, slightly pixelated edges. A gritty photocopied dark-fantasy image, not polished digital painting. Preserve fine detail in scales, armor and grass. No smooth gradients, glossy CGI, clean anime shading, soft lighting, orange-red sky, buildings, trees, mountains, sun, moon, extra characters, duplicate swords, text, logos, borders, panels or watermarks. One complete full-bleed image."

AMD is preparing a new budget graphics card called the Radeon RX 9050 for the RX 9000 series. The card uses the Navi 44 chip with 2048 processing units and 8GB of memory but runs at lower speeds than the RX 9060 models to use less power and stay affordable. It is made for 1080p gaming and only needs a 450W power supply, for budget PCs and small cases. No official price or release date has been announced yet, but it will likely cost under 250 dollars

inclusionAI open-sources the Ming-Image-0.1-Design family, two complementary 6B models for visual-design workflows.📜 MIT License. 🤖 🤖 🏆 Design ranks #1# among open-weight models on the Artificial Analysis UI/UX Design leaderboard. Layer leads all 12 evaluated Crello settings and runs 4.3× faster than the evaluated 20B open-weight baseline. 🎨 Design generates complete UIs, dashboards, infographics, and posters at up to 2048×2048, with strong text rendering and native transparent RGBA output. 🧩 Layer decomposes flattened graphics into independently editable RGBA layers while preserving the original aspect ratio. 🧠 The pipeline combines multimodal prompt conditioning, a diffusion transformer, and a 4-channel VAE. Layer adds multi-frame generation for separate layer outputs.

1B requests a day in Weixin. Now open source. WeMM-Embedding is built for real traffic and verified in real use. It reads text, image and video in the order they show up. The 9B ranks #1# on MMEB-v2 (80.6); the 2B keeps 98.7% at just 256 dims. Truncate to 64 dims for fast recall or 2048 for fine ranking, no retraining. Try it:

$MU $SKHY $DRAM $NVDA $LITE AI is still diapers According to $TSM's HPC roadmap (SEMI Taiwan today), AI compute demand growing 5x/year, creating a "compute wall" and "memory bandwidth wall." TSMC's answer is heterogeneous integration across logic, 3D packaging, and silicon photonics. Logic process: Moving fully to nanosheet architecture. After N2 and A16, TSMC targets A14 (angstrom class) in 2028 to 2029. 3D stacking (SoIC): In production since 2023 with 56x the interconnect density of traditional 2.5D. Roadmap is N2P on N3P in 2026, then A14 on A14 in 2029, shrinking bump pitch to 4.5 microns. CoWoS packaging: 5.5x reticle size in 2026 (supporting 12 HBM3E/4 stacks, yield over 98%), 9.5x reticle by 2028, and over 14x reticle with 24 HBM stacks by 2029. Combined system compute: TSMC projects SoIC plus CoWoS integration will deliver 50x the 2024 compute level by 2029. HBM4 and the memory wall: Interface bandwidth doubles to 2048 bit. Base die built on N12, cutting power over 45% and boosting bandwidth 2.5x, with a future move to N3 for further gains. Overall memory bandwidth is projected to grow 34.6x by 2029. COUPE (silicon photonics): 3D stacks the electronic die directly onto the photonic die via SoIC, with 2 to 4 micron bond pitch. At 112Gbps, transmission loss is just 0.06dB versus 1.38dB for microbumps, cutting latency to 10 to 20 nanoseconds. First 200Gbps micro-ring modulator (0.5 Tbps/mm density) ships in 2026, scaling to 4 Tbps/mm by 2030. Design enablement: TSMC is building an optical PDK for electro-optic co-simulation plus automated DRC/LVS/thermal flows to speed 3D IC and photonic design.

Qwen3.5-4B running CPU-ONLY at up to ~11+ tps on a Ryzen 5 laptop. No GPU. Running models in RAM and CPU is something the Qwen4 team is already thinking about. 💡 I built this standalone .exe because businesses are already deploying local models to save money and ensure privacy. (thumb drive friendly - just drag drop and doubleclick) My llama.cpp recipe 👉 🧠 Qwen3.5-4B Q4_K_M GGUF ⚙️ Ryzen 5 7540U — 6C/12T 🧵 --threads 9 🧵 --threads-batch 12 ⚡ --prio 2 🔄 --poll 50 📦 --batch-size 2048 📦 --ubatch-size 512 🚀 --flash-attn on 🧠 KV cache: q4_0 / q4_0 🔧 --repack 💾 --mmap 👤 --parallel 1 🚫 --device none 🚫 --gpu-layers 0 🚫 KV/op GPU offload 🚫 MTP OFF Interesting result 👉 MTP=3 was slower (~10 tps in benchmarks). Plain decode + 9 threads + Q4 KV hit ~11.4 tok/s. That's about 10% faster just from tuning llama.cpp — on a basic laptop CPU.

A Kentucky officer ran 2,048 Flock camera searches to track the mother of his child. No warrant. No probable cause. No judge ever saw it. The Fourth Amendment protects Americans against unreasonable searches, and retracing where someone drove for five months is a search. And it’s why I take issue with surveillance networks like Flock.

Starship Flight 14 will deploy 26 next-generation Starlink V3 satellites into the constellation for the first time. Each V3 satellite is designed to provide: • 1 Tbps downlink capacity • 160 Gbps uplink capacity • Around 10× more downlink and 22× more uplink capacity than V2 • 2,048 downlink and 2,048 uplink beams • Six high-capacity 400 Gbps space lasers • 1.2 Tbps of RF backhaul capacity, more than 8× V2 • Approximately twice the solar power Together, these 26 satellites will add 26 Tbps of capacity to Starlink, around 10× the capacity added by one Falcon 9 launch of V2 Mini satellites. Future Starship launches will be capable of adding around 20× more capacity per mission than Falcon 9 launches with V2 satellites. Starship and Starlink V3 were built for each other. This combination will help Starlink serve millions more people with faster and more reliable internet worldwide. Flight 14 is targeting September 22, pending regulatory approval.