All Updates

Page 1879 of 1896

February 13, 2026

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LangChain Blog190d ago

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.

#research#langchain#ai-agents
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SCMP Technology190d ago

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.

#update#minimax#m2
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ZDNet AI190d ago

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.

#research#mit#openai
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Ifanr (爱范儿)190d ago

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.

#research#xiaomi#vla
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BBC Technology190d ago

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.

#security#vibe-coding#ai-tools
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The Register - AI/ML190d ago

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.

#new-feature#cloudflare#markdown
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The Register - AI/ML190d ago

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.

#ujet#ai#call-centers
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iTNews Australia190d ago

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.

#launch#wesfarmers#agentic-ai
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BBC Technology190d ago

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.

#research#robotics#hardware
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SCMP Technology190d ago

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.

#listing#enflame#star-market
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Apple Machine Learning190d ago

Hyperparameter Transfer Across All Scaling Axes

Apple ML extends μP 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.

#research#apple-ml#mu-p
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Apple Machine Learning190d ago

Hyperparam Transfer Across All Scales

Apple extends μP 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.

#research#apple-ml#mu-p
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Apple Machine Learning190d ago

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.

#research#apple-ml#local-extra-sgd
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Apple Machine Learning190d ago

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.

#research#apple-ml#local-extra-sgd
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Apple Machine Learning190d ago

Faster Convergence in Federated VIs

This paper improves federated optimization for stochastic variational inequalities with tighter convergence rates. It refines analysis for Local Extra SGD on smooth monotone VIs, closing the gap with convex optimization bounds.

#research#apple-machine-learning#latest
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Apple Machine Learning190d ago

Faster Convergence for Federated VIs

Apple ML paper advances federated optimization for stochastic variational inequalities. It provides improved convergence rates, closing gaps with convex optimization bounds. Refined analysis yields tighter guarantees for Local Extra SGD in smooth monotone VIs.

#research#apple-ml#extra-sgd
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Hugging Face Blog190d ago

Custom Kernels for All from Codex & Claude

Hugging Face launches custom kernels powered by OpenAI's Codex and Anthropic's Claude. These are now available to all users on the platform. This expands access to advanced AI-driven kernel customization.

#launch#hugging-face#custom-kernels
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Hugging Face Blog190d ago

Custom Kernels for All Users

Hugging Face introduces custom kernels powered by Codex and Claude, now available to everyone. This expands access to advanced customization options on the platform. Users can integrate these models seamlessly into their workflows.

#new-feature#hugging-face#codex-claude
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Apple Machine Learning190d ago

Complete Hyperparameter Transfer Across Scales

Extends hyperparameter transfer from small to large models across modules, width, depth, batch, and duration. Introduces Complete(d) Parameterisation unifying width-depth scaling, building on μP.

#research#apple-machine-learning#latest
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Apple Machine Learning190d ago

Complete Hyperparameter Transfer for Scaling

Apple ML extends μP parameterisations with Complete(d) Parameterisation for hyperparameter transfer. Covers scaling across modules, width, depth, batch size, and duration. Enables optimal hyperparameter search on small models for transfer to large-scale ones.

#research#apple-ml#mu-p
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