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Daily Edition · Page 7

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR Hardware

TLDR Hardware

AMD BECOMES THE FOURTH US CHIPMAKER TO REACH A $1 TRILLION VALUATION

AMD shares jumped 9.6% to a record $613.31 on Monday, pushing its market cap above $1 trillion for the first time and making it the fourth US chipmaker to cross the threshold, after Nvidia, Broadcom, and Micron. The stock has gained roughly 185% in 2026, far outpacing the Nasdaq's 15.8%, as AMD increasingly positions itself as a full AI computing infrastructure competitor to Nvidia, selling complete systems combining processors, networking equipment, and related hardware rather than standalone accelerator chips.

links.tldrnewsletter.com · 3 min

TLDR Hardware

KAIST'S RAIBO2 QUADRUPED COMPLETES A FULL MARATHON ON ONE BATTERY CHARGE

Legged robots burn energy differently than wheeled ones, constantly working at the joints just to hold body weight up and losing kinetic energy every time a foot strikes the ground, so KAIST's team built RAIBO2 by comprehensively modeling every source of energy loss instead of optimizing pieces in isolation. The gains came from stacking hardware and software fixes: an optimized mechanical structure, a redesigned motor driver circuit that cuts electrical losses in the power-control stage, and a locomotion policy trained via RL specifically to minimize energy dissipation.

nature.com · 4 min

TLDR Hardware

LIMA SPLITS ROBOT "THINKING" FROM "REACTING" INTO TWO ASYNC SYSTEMS, CUTS LATENCY 45.8%

Dexterous manipulation needs both long-term foresight and fast reactive control, but existing models tend to be good at only one, so LiMA decouples the two into an asynchronous dual-system hierarchy: a slow system handles sparse long-horizon intent, a fast system handles dense high-frequency motion, bridged by a Latent Schrödinger Bridge Coupling mechanism that treats aligning the two as a probabilistic transport process rather than a direct mapping. This cuts inference latency by 45.8% versus Cosmos-Policy, and across six bimanual manipulation tasks, LiMA hit a 70.8% overall success rate while holding up on scenarios it wasn't trained on.

arxiv.org · 4 min

TLDR Hardware

CHIP DESIGN'S REAL AI BOTTLENECK ISN'T INDIVIDUAL TOOLS, IT'S WHAT HAPPENS BETWEEN THEM

Semiconductor design spans dozens of specialized tools - RTL, synthesis, place-and-route, timing sign-off, and DFT - each written by a different vendor with different assumptions about what "done" means. Every handoff between tools risks silently losing design intent, a problem serious enough that first-time silicon success has fallen sharply, with most respins still traced to these intent-transfer failures rather than raw errors. The consensus emerging is "evidence-driven automation": AI can propose fixes, extract properties, and orchestrate handoffs between agents, but every output has to remain independently checkable through formal proof, deterministic verification, and audit trails, since an AI-generated assertion is a hypothesis, not proof, until it's checked against a real engine.

semiengineering.com · 7 min

TLDR Hardware

META UNVEILS 100-GRAM VR GLASSES WITH A COMPUTE PUCK, COMING SPRING 2027 FOR $1,299.99

Meta introduced VR Glasses, a headset weighing about 100 grams, five times lighter than Meta Quest 3, achieved by splitting the system in two: the glasses handle sensors and a 5K micro-OLED display at 37 pixels per degree through custom pancake lenses, while a separate puck connected by an optical tether handles compute, battery, and storage, clipping to a pocket or bag. The puck runs Qualcomm's new Snapdragon Reality Elite processor and delivers up to three hours of continuous high-resolution playback on 45W fast charging, while the glasses integrate Dolby Vision, Dolby Atmos spatial audio, and hands-free control through Meta AI, eye tracking, and natural gestures with no controllers.

about.fb.com · 4 min

TLDR Hardware

ALIBABA UNVEILS ZHENWU V900, ITS MOST POWERFUL AI CHIP, CLUSTERING TO 500,000 CARDS

Alibaba's T-Head semiconductor unit unveiled the Zhenwu V900, which CEO Eddie Wu called the most powerful AI chip in China, delivering roughly 3x the performance of its predecessor, the M890. A single cluster built on the V900 can reportedly link up to 500,000 cards for frontier model training and inference, the kind of scale needed to support the 5-10 trillion-parameter model Alibaba's Qwen team is now targeting.

links.tldrnewsletter.com · 3 min

TLDR IndexPage 7