All Updates
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February 13, 2026
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 ฮผP 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 ฮผP 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.
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.
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.
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.
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.
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 ฮผP.
Complete Hyperparameter Transfer for Scaling
Apple ML extends ฮผP 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.
Cadmus: Low-Cost Program Synthesis System
Apple ML introduces Cadmus, a small-scale system for autoregressive program synthesis. It features an integer virtual machine, a dataset of diverse true programs, and a transformer model trained for under $200 compute. This setup enables controlled experiments bypassing issues with large LLMs like OOD challenges and high resource demands.
Cadmus Enables Cheap Program Synthesis Experiments
Apple Machine Learning introduces Cadmus, a small-scale system for autoregressive program synthesis. It features an integer virtual machine, a dataset of diverse true programs, and a transformer model trained for under $200 compute. This setup allows controlled experimentation without the complexities of large LLMs.
Cadmus: Cheap Program Synthesis System
Apple unveils Cadmus, a small-scale system for autoregressive program synthesis. It features an integer VM, diverse program dataset, and transformer model trained under $200 compute. Enables controlled experiments bypassing LLM challenges like OOD and tokenization.
Cadmus: Affordable Autoregressive Program Synthesis
Apple ML introduces Cadmus, a small-scale system for autoregressive program synthesis. It features an integer virtual machine, a dataset of diverse true programs, and a transformer model trained for under $200 compute. This setup enables controlled experiments avoiding LLM pitfalls like OOD issues and high compute demands.
February 12, 2026
Pinterest Tops ChatGPT Searches Despite Earnings Miss
Pinterest's stock fell after missing earnings expectations. The company highlighted higher-than-expected usage as a positive. It claims more searches than ChatGPT.
Pinterest Tops ChatGPT in Searches
Pinterest claims more searches than ChatGPT despite earnings miss. Stock dropped after disappointing results. High usage marks a key positive.
Pinterest Claims More Searches Than ChatGPT
Pinterest reports higher search volume than ChatGPT. Despite earnings miss causing stock drop. Usage surge is key positive.
IBM Triples US Entry-Level Hires for AI
IBM plans to triple its entry-level hiring in the U.S. by 2026. These roles will feature different tasks adapted to the AI era. This shift aims to integrate new talent into AI-driven workflows.
IBM Triples Entry-Level AI Hires
IBM will triple U.S. entry-level hiring in 2026. Roles adapt to AI with new tasks. Focuses on building AI-ready talent pool.