#EncyclopediaBritannica sued #OpenAI for #copyright and #trademark infringement, alleging the use of copyrighted content in training #AImodels and the generation of false attributions. OpenAI claims its models are trained on publicly available data and grounded in fair use. https://www.engadget.com/ai/encyclopedia-britannica-sues-openai-for-copyright-and-trademark-infringement-164747991.html?eicker.news #tech #media #news
Encyclopedia Britannica sues OpenAI for copyright and trademark infringement

The company behind Encyclopedia Britannica and Merriam-Webster claimed that OpenAI used copyrighted content and made false attributions.

Engadget
While competitors like Amazon, Google, Microsoft, and Meta are spending billions on AI infrastructure, #Apple has taken a different approach. By #licensing #AImodels and leveraging its existing user base of 2 billion devices, Apple is able to implement #distributedAI without the massive #capitalexpenditure. This strategy allows Apple to focus on owning the customer experience. https://asymco.com/2026/03/10/the-most-brilliant-move-in-corporate-history/?eicker.news #tech #media #news
The most brilliant move in corporate history?

In a bold departure from its Big Tech peers, Apple sidestepped the $650 billion AI infrastructure spending frenzy, a move likened to opting out of purchasing the US Navy annually. While Amazon, Goo…

Asymco
EU draft reveals how Brussels will probe and fine AI model providers: The European Commission published a draft implementing regulation on March 12, 2026, detailing how it will evaluate general-purpose AI models and impose fines under the EU AI Act. https://ppc.land/eu-draft-reveals-how-brussels-will-probe-and-fine-ai-model-providers/ #AIRegulation #EULaw #ArtificialIntelligence #AIModels #TechPolicy
EU draft reveals how Brussels will probe and fine AI model providers

The European Commission published a draft implementing regulation on March 12, 2026, detailing how it will evaluate general-purpose AI models and impose fines under the EU AI Act.

PPC Land

Meta spent $135 billion on AI this year but failed to match Google's Gemini 3.0 benchmarks, delaying its Avocado model to May. The company discussed licensing Google's technology to fill gaps in its own products. Meanwhile, Pentagon CTO called Claude's safety principles "contamination," prompting industry pushback. Big spending doesn't guarantee competitive models.

https://www.implicator.ai/meta-cant-build-fast-enough-washington-punishes-those-who-can/

#AICompetition #TechPolicy #AIModels

Meta Can't Build Fast Enough. Washington Punishes Those Who Can.

Meta delays Avocado AI after failing Gemini benchmarks, considers licensing Google's model. Pentagon CTO calls Claude's values contamination.

Implicator.ai

Anthropic is pushing back on the Pentagon’s request for data, citing NSA surveillance limits and privacy concerns. Senator Ron Wyden joins the debate, questioning how much the military can truly access AI models. What does this mean for open‑source AI and national security? Read the full story to find out. #Anthropic #NSASurveillance #DataPrivacy #AIModels

🔗 https://aidailypost.com/news/anthropic-questions-pentagon-trust-nsa-surveillance-deemed-limited

Nvidia disclosed $26B commitment over five years to build open-weight AI models, positioning against OpenAI and Chinese labs. Released Nemotron 3 Super (120B parameters, 12B active) targeting multi-agent systems. Scores 36 on Intelligence Index vs Qwen3.5's 42, but runs 11% faster per GPU. Major shift for the chipmaker.

#OpenSourceAI #MultiAgent #AIModels

https://www.implicator.ai/nvidia-commits-26-billion-to-open-weight-ai-ships-nemotron-3-super/

Nvidia Commits $26 Billion to Open-Weight AI, Ships Nemotron 3 Super

Nvidia disclosed $26B in open-weight AI spending and released Nemotron 3 Super, activating 12B of 120B parameters for multi-agent workloads.

Implicator.ai