openai previews gpt-5.6 series with three model tiers
openai launches limited preview of gpt-5.6 models sol, terra, and luna, offering varied performance and pricing tiers with new prompt caching features.
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frozen multi-token prediction speeds up gemini nano on pixel
google retrofits multi-token prediction onto frozen gemini nano models to accelerate on-device inference without separate drafters.
agentic workflows for data science pipelines
five concrete agentic workflows automate major stages of a data science pipeline, from exploratory data analysis to feature engineering, reducing manual effort.
openai jalapeño chip shifts ai hardware away from nvidia
openai reveals jalapeño, a custom inference chip built with broadcom, joining a trend of big tech firms designing their own silicon to reduce reliance on nvidia.
us government stalls ai model releases
openai and anthropic face similar delays as us regulators review frontier models customer by customer, raising industry-wide concerns.
fine-tune language models on apple silicon with mlx
fine-tune open language models locally on your mac using mlx, with no cloud gpus or costs required.
gemini creates google sheets from prompts
use gemini to build spreadsheets, generate formulas, and analyze data with natural language commands.
which tokens hybrid models predict better
a study comparing token-level predictions of a hybrid model and a transformer reveals where each architecture excels.
persona gates refusal in chat models
refusal in ai chat models depends on a compliant persona direction, not just a standalone refusal mechanism.
detecting sycophancy with cascading linear features
a new method uses graded data samples to better isolate and control sycophancy in language models.
local mass view of bayesian inference
new tools measure how bayesian updating changes probability mass in small regions, revealing behavior missed by global divergences.
patronus ai raises $50m to stress-test agents in digital worlds
patronus ai builds simulated environments to evaluate ai agents on complex, real-world tasks, helping labs catch failures before deployment.
xmse-aware adaptive empirical bayes estimation
a new method blends maximum likelihood and empirical bayes estimators using excess mean squared error to improve second-order risk.
neuro-symbolic framework grounds amr predictions in biology
kg-trace combines neural networks with a knowledge graph to make antimicrobial resistance predictions that align with known biological pathways.
white house asks openai to limit gpt 5.6 release
openai will share its new model only with approved partners after the trump administration requested a restricted rollout over safety concerns.
german court says google liable for ai errors
a german ruling holds google responsible for mistakes in its ai overviews, treating ai agents like human employees under the law.
video games train ai agents for real world
general intuition raised $320m to build ai agents trained on gameplay data that can control robots and navigate physical spaces.
former databricks ai chief aims to slash inference power use 1000x
unconventional ai, led by naveen rao, unveils a simulated oscillator-based image model that matches diffusion models while promising massive energy savings.