All Updates
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February 13, 2026
Gemini 3 Deep Think: Sketch-to-3D Upgrade
Google announced a major upgrade to Gemini 3 Deep Think, a reasoning model for science, research, and engineering. Google AI Ultra subscribers can access it via the Gemini App. Early API access is open to select researchers, engineers, and enterprises.
Anthropic Targets OpenAI in Super Bowl Ads
AI companies with deep user privacy access are rushing to monetize via ads amid lax regulation. Anthropic's Super Bowl ads satirized OpenAI's vulnerabilities without naming them. This highlights reliance on corporate ethics to prevent privacy abuse.
AI Safety Leader Quits for Poetry
An AI safety leader warns of global peril and resigns to study poetry. This coincides with an OpenAI researcher quitting over ChatGPT ad testing plans.
AI Safety Chief Quits, Cites Global Peril
A prominent AI safety leader resigned, warning the world is in peril, to study poetry. This follows an OpenAI researcher's exit over plans to test ChatGPT ads. The moves highlight tensions in AI development and commercialization.
Samsung First Ships HBM4 Memory
Samsung claims first to ship HBM4 memory, a day after Micron's announcement. HBM4 provides faster, denser RAM for next-gen AI hardware. This aligns with Nvidia's Vera Rubin GPU timeline.
Agent Frameworks Essential Despite LLM Gains
Discusses if agent frameworks remain necessary as LLMs improve. Argues building approaches evolve but agents are fundamentally systems around models. Emphasizes ongoing role of frameworks like LangChain.
Agent Frameworks Remain Vital Amid LLM Advances
Explores whether agent frameworks are still necessary as LLMs improve. Notes that optimal agent-building approaches evolve with model performance. Emphasizes agents as systems built around models, highlighting observability.
MiniMax Drops Affordable M2 AI Model
MiniMax released an updated M2 large language model for real-world productivity. The cheap AI follows rivals' launches in China's intense AI race. In-house benchmarks claim strong performance.
AI Advances via Compute, Not Smarts
MIT report shows frontier models like OpenAI's GPT rely on more computing power rather than smarter algorithms. This scaling approach drives progress but hikes costs. The trend raises questions on sustainability.
Xiaomi Open-Sources Robot VLA Model
Xiaomi open-sources its first-generation VLA large model for robotics. Part of morning tech news roundup alongside OpenAI updates.
AI Coding Flaws Hack BBC Reporter
Security flaws in an AI coding platform allowed a BBC reporter to be hacked. Vibe-coding tools enable non-coders to build apps using AI. These tools are rapidly growing in popularity.
Cloudflare Serves Markdown to AI
Cloudflare optimizes websites for AI agents by converting HTML to Markdown. Shifts from blocking bots to attracting them with faster content. Improves consumption speed for AI crawlers.
AI Supercharges Call Center Agents
UJET CEO claims AI enhances call agents into 'superheroes' without job loss. Improves software to resolve issues without multi-system navigation. Gartner warns AI fixes may cost more than humans by 2030.
Wesfarmers Launches Agentic AI Groupwide
Wesfarmers plans to deploy agentic AI across its entire group. The company has secured multi-year deals with Google Cloud and Microsoft to support this initiative.
Robotics Firms Struggle with Hands
Robotics companies face major hurdles in developing hands. Creating durable and affordable robotic hands remains a key challenge. Progress is slow despite ongoing efforts.
Enflame Nears Shanghai IPO Listing
Enflame Technology started IPO inquiry on Shanghai's Star Market. The AI chip unicorn follows hot semiconductor listings. Investor demand for domestic AI chips stays robust.
Hyperparameter Transfer Across All Scaling Axes
Apple ML extends ΞΌP for hyperparameter transfer across model sizes, modules, width, depth, batch, and duration. Introduces Complete(d) Parameterisation unifying width-depth scaling. Enables optimal base hyperparameters search at small scales for large model transfer.
Hyperparam Transfer Across All Scales
Apple extends ΞΌP for hyperparameter transfer across modules, width, depth, batch, and duration. Introduces Complete(d) Parameterisation unifying width-depth scaling. Enables optimal hypers from small to large models.
Faster Rates for Federated Variational Inequalities
Apple ML advances federated optimization for stochastic variational inequalities (VIs). It provides improved convergence rates closing the gap with federated convex optimization. Refined analysis shows tighter guarantees for Local Extra SGD on smooth monotone VIs.
Faster Rates for Federated VIs
Apple advances federated optimization for stochastic variational inequalities. Establishes improved convergence rates closing gap with convex optimization. Refined analysis boosts Local Extra SGD for smooth monotone VIs.