BREAKINGOpenAI closes $40B round at $340B valuation — largest private tech raise ever·MODELSAnthropic ships Claude Opus 4 with extended thinking and agentic capabilities·FUNDINGxAI raises $6B Series C led by Andreessen Horowitz for Grok infrastructure·REGULATIONEU AI Act enters full enforcement — high-risk systems must comply now·AGENTSGoogle DeepMind open-sources Gemini Agent Framework for autonomous task completion·RESEARCHStanford HAI: Enterprise AI adoption hits 78% globally, GenAI in production at 45%·WARNINGUS Senate passes AI Transparency Act — content labeling required at scale·PRODUCTMeta releases Llama 4 Maverick open-weight model rivaling proprietary alternatives·MODELSDeepSeek V3 scores within 2% of GPT-4o on MMLU at 1/10th the inference cost·FUNDINGMistral AI raises €600M Series B at €6B valuation for European AI sovereignty·BREAKINGOpenAI closes $40B round at $340B valuation — largest private tech raise ever·MODELSAnthropic ships Claude Opus 4 with extended thinking and agentic capabilities·FUNDINGxAI raises $6B Series C led by Andreessen Horowitz for Grok infrastructure·REGULATIONEU AI Act enters full enforcement — high-risk systems must comply now·AGENTSGoogle DeepMind open-sources Gemini Agent Framework for autonomous task completion·RESEARCHStanford HAI: Enterprise AI adoption hits 78% globally, GenAI in production at 45%·WARNINGUS Senate passes AI Transparency Act — content labeling required at scale·PRODUCTMeta releases Llama 4 Maverick open-weight model rivaling proprietary alternatives·MODELSDeepSeek V3 scores within 2% of GPT-4o on MMLU at 1/10th the inference cost·FUNDINGMistral AI raises €600M Series B at €6B valuation for European AI sovereignty·

← Home·Intelligence·Event

announcement

Do covariates explain why these groups differ? The choice of reference group can reverse conclusions in the Oaxaca-Blinder decomposition

Apr 1, 2026arXiv Statistics — Machine Learning

Event Summary

arXiv:2603.29972v1 Announce Type: cross Abstract: Scientists often want to explain why an outcome is different in two groups. For instance, differences in patient mortality rates across two hospitals could be due to differences in the patients themselves (covariates) or differences in medical care (

modelsApr 1, 2026

Apple, Anthropic +36 more: 124 model releases in rapid succession

modelsApr 1, 2026

Apple, Anthropic +36 more: 124 model releases in rapid succession

modelsApr 1, 2026

Anthropic, Apple +36 more: 125 model releases in rapid succession

modelsApr 1, 2026

Apple, Anthropic +36 more: 123 model releases in rapid succession

modelsApr 1, 2026

Apple, Anthropic +36 more: 125 model releases in rapid succession

modelsApr 1, 2026

Apple, Anthropic +37 more: 126 model releases in rapid succession