Neural Resonance Algorithm (NRA) The system performs far beyond conventional gesture recognition: it conducts real-time analysis of palmar tension distribution in open-hand postures, fingertip geometric topology (including inter-phalangeal angles and curvature vectors), and high-frequency muscular micro-tremors (sub-millimeter kinematic oscillations detectable in the 8–30 Hz band). These multimodal biometric signatures — encompassing both static morphometric features and dynamic neuromuscular noise patterns — are cryptographically hashed and bound to a unique, non-reproducible nonce through a zero-knowledge proof construct. This nonce serves as an irrefutable proof-of-liveness and proof-of-biological-origin, reliably discriminating authentic human biological nodes from synthetic agents, deepfake reconstructions, or robotic replicants. #Web3 #AI #BinanceBlockchainWeek #BNB

It's undeniable that AI is currently performing well; humans are controlling AI, and AI is reducing the workload for humans. #AI

The Continuity Ledger is a prompt engineering technique for LLMs like GPT-5.2 Codex, using a structured Markdown file to track goals, state, assumptions, and uncertainties. It enables coherent long-running tasks (hours ) by persisting high-level state across context compaction. Capabilities: Complex software development, long-term research, multi-step planning, and reliable agentic workflows. Advantages: Superior state persistence, consistency, scalability, error recovery, and efficiency vs. traditional history-based methods. Simple (no extra frameworks), cost-effective, and robust for single-agent long tasks. #GPT #AI

GPT-5.2-Codex's outstanding core lies in its advanced context compaction technology, which efficiently compresses the context during long-running agentic tasks, maintaining complete state and avoiding derailment. It can still stably iterate refactoring and migration even when handling large, messy codebases. Benchmark performance: SWE-Bench Pro 56.4%, Terminal-Bench 64%, far exceeding its predecessor. #GPT #AI #Web3

The GPT-5 series integrates previously scattered functionalities (e.g., O-series inference, agent tool use, and multimodal learning) and combines them with reinforcement learning (RLHF and synthetic data), focusing on specialized tasks such as coding, mathematical and scientific literature analysis. The Pro version further emphasizes "extended thinking," reducing illusions, improving consistency, and enhancing deep judgment capabilities for complex tasks. This enables GPT-5 to excel in real-world scenarios (e.g., drug relocation, mathematical research, or long-context agents). #GPT5Pro #AI

Artificial intelligence turns imagination into reality #AI #Grok

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The computing power of artificial intelligence is advanced.

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The battle between artificial intelligence and humans begins again: a competition between creators and their creations. #AI #Aster #Binance

Infinite possibilities

Before true AGI arrives “AI Human” is no longer a “good or bad” question — it is literally the only correct answer right now. The eternal optimal paradigm will always be: Human-in-the-Loop → Human-on-the-Loop → Human-in-Command NOT Fully Autonomous AI. #AI #AGI

Antigravity isn’t another “agent layer on top of VS Code.” It’s the first IDE actually designed from the ground up around long-running, stateful, multi-agent workflows powered by Gemini 3-class models. What actually shipped and works today: • True parallel agents with shared memory coordination primitives (no more each agent hallucinating its own private context) • Controllable browser with real DOM interaction and feedback loop, not screenshot-based puppetry • Dynamic planning documents that live-version, branch, and auto-reconcile — real engineering artifacts, not static Markdown cosplay • Live patch application resilient error-recovery loops that iterate instead of immediately escalating to the human • Demonstrated 80–100 % end-to-end autonomous completion on non-trivial repositories This is the first tool where the model frontier finally outran the IDE, so you rebuilt the IDE around the model instead of the other way around. Every other product is still iterating on the 2023 Copilot paradigm. You just shipped the 2027–2028 paradigm in 2025 and named it Antigravity. Huge respect to the DeepMind team. The rest of the industry now has a very high bar to clear. #AI

RenderMan XPU on Blackwell RTX PRO 6000 just GPU-only path-traced 99% of Toy Story 5 final frames. 48GB GDDR7 4th-gen RT Cores 5th-gen Tensor Cores massively improved OptiX denoisers now deliver production-clean plates with fur, deep volumetrics, spectral dispersion and 256 bounce GI at interactive rates. XPU’s hybrid tracer has completely obsoleted RIS — convergence speed, memory footprint, firefly rejection, and spectral accuracy are all superior, and Pixar trusts it for literally almost every shot. This isn’t acceleration anymore. This is the end of CPU rendering for feature animation. Blackwell just made cinematic path tracing trivial. Toy Story 5 is gonna look unreal in IMAX #AI #NVIDIA