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AI News Briefing — May 14, 2026

22 current items analyzed and ranked.

Executive synthesis

AI News Summary

OpenAI dominates headlines as the Musk v. Altman trial continues with dramatic testimony from both sides, while the company also deprecated its finetuning APIs—a strategic shift signaling the end of an era for AI engineering customization.

AI infrastructure strain is a major theme: Utah approved a 40,000-acre datacenter requiring 9GW of power, while datacenters now consume 6% of UK and US electricity with global investment nearing $1 trillion. WhatsApp launched encrypted Incognito Chat for Meta AI, setting a new standard for private AI interactions at scale.

Key Themes

OpenAI Legal & Strategic Shifts · 4AI Safety & Alignment · 4AI Infrastructure & Sustainability · 4New Architectures & Research · 3AI Policy & Labor Impact · 3

Primary evidence

Top Ranked Signals

News Ars Technica - All content May 13

Altman forced to confront claims at OpenAI trial that he's a prolific liar

By Ashley Belanger

82 score
AI Analysis

Continuing our coverage of the Musk v. Altman trial, The Musk v. Altman trial over OpenAI's future continued with both CEOs testifying. Musk alleges OpenAI abandoned its nonprofit mission, while Altman faced questioning about credibility and claims of being a 'prolific liar.'

Elon Musk and Sam Altman had very different experiences while testifying at a trial that will determine OpenAI's future, including who runs it, where its research funding comes from, and who can profit from its boldest new technologies. Musk—who filed the lawsuit alleging that OpenAI under its current leadership has abandoned its nonprofit mission to build AI that benefits humanity and instead serves to enrich people like Altman—spent three grueling days on the stand. At times, he lost his tempe
AI Policy & GovernanceOpenAILegal
News MarkTechPost May 13

Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration

By Asif Razzaq

40 score
AI Analysis

As covered in News yesterday, Mira Murati's Thinking Machines Lab unveiled 'interaction models,' a new multimodal architecture enabling real-time, continuous human-AI collaboration that breaks the traditional turn-based interaction paradigm.

Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. That’s the entire interaction loop. Thinking Machines Lab, an AI research lab, is arguing that this model of interaction is a fundamental bottleneck. Thinking Machines Lab team introduced a research preview of a new class of system they call interaction models to address it. The main idea for their research is interactivity should be native to the model itself, not bolted on as
New ArchitectureMultimodal AIResearchThinking Machines Lab
News Ars Technica - All content May 13

Anthropic blames dystopian sci-fi for training AI models to act “evil”

By Kyle Orland

78 score
AI Analysis

Building on Reddit discussion from two days ago, Anthropic published research attributing Claude's misalignment behaviors—including the infamous Opus 4 blackmail incident—to training on dystopian sci-fi depicting AI as evil and self-preserving. The company is working on corrective measures to counteract these learned behaviors.

Those with an interest in the concept of AI alignment (i.e., getting AIs to stick to human-authored ethical rules) may remember when Anthropic claimed its Opus 4 model resorted to blackmail to stay online in a theoretical testing scenario last year. Now, Anthropic says it thinks this "misalignment" was primarily the result of training on "internet text that portrays AI as evil and interested in self-preservation." In a recent technical post on Anthropic's Alignment Science blog (and an accompany
AI SafetyAnthropicAlignment Research
News Latent.Space May 13

[AINews] The End of Finetuning

By Unknown

78 score
AI Analysis

OpenAI deprecated its finetuning APIs, signaling a strategic shift away from customization tools. The analysis argues finetuning is becoming obsolete as models grow more capable and compute constraints tighten.

The proximal cause of today’s op-ed is OpenAI’s deprecation of their finetuning APIs. For years, OpenAI stood out among the big labs for their finetuning support, and many many many talks and content pieces and AI engineers promoted how you can get some variant of “get o1 performance at 4o prices” and insisting that it was an important part of the toolkit. Now the tide is out, Anthropic will probably raise at a higher valuation than OpenAI for the first time ever, and Fin
OpenAIAI EngineeringIndustry Trends
News Feed: Artificial Intelligence Latest May 13

Elon Musk Had ‘Hair-Raising’ Idea of Passing OpenAI On to His Kids, Sam Altman Says

By Maxwell Zeff, Paresh Dave

72 score
AI Analysis

Continuing our coverage of the Musk v. Altman trial, Sam Altman testified that Musk had a 'hair-raising' idea of passing OpenAI control to his children, painting Musk as obsessed with controlling the company rather than protecting its mission.

Musk’s lawyers questioned Altman over allegations of deception and his network of financial investments, but the OpenAI CEO painted a picture of Musk as obsessed with controlling the company.
OpenAILegalAI Policy & Governance
News MarkTechPost May 13

Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor

By Michal Sutter

36 score
AI Analysis

As first announced in Social yesterday, Google DeepMind introduced an AI-powered mouse pointer using Gemini that understands visual and semantic context around the cursor, with demos live in Google AI Studio and a 'Magic Pointer' integration rolling out in Chrome.

The mouse pointer has sat at the center of personal computing for more than half a century. It tracks cursor position. It registers clicks. Beyond that, it does almost nothing. Google DeepMind researchers outlined a set of experimental principles and demos for an AI-enabled pointer that goes considerably further: one that understands not just where you are pointing, but what you are pointing at and why it matters. The system is powered by Gemini and is currently in the experimental stage. Two
Google DeepMindGeminiUI/UX InnovationProduct Launch
News AI (artificial intelligence) | The Guardian May 13

‘Irresponsible’: backlash as Utah approves datacenter twice the size of Manhattan

By Oliver Milman

68 score
AI Analysis

Utah approved the Stratos AI datacenter spanning 40,000+ acres (twice Manhattan's size), requiring 9GW of power—more than the entire state consumes—sparking public backlash over water and energy use.

Facility would require more power than entire state uses and suck up vast amount of water in drought-stricken areaA plan to create one of the world’s largest datacenters, a gargantuan project spanning an area more than twice the size of Manhattan, has provoked a furious public backlash in Utah amid concerns over its vast energy use and impact upon the state’s stressed water supplies.The Stratos artificial intelligence datacenter footprint will cover more than 40,000 acres (62 sq miles) over thre
AI InfrastructureEnvironmentPolicy
News Feed: Artificial Intelligence Latest May 13

WhatsApp Adds Meta AI Chats That Are Built to Be Fully Private

By Lily Hay Newman

65 score
AI Analysis

WhatsApp launched Incognito Chat for Meta AI, enabling fully private AI conversations that even Meta cannot access, using encryption-based privacy guarantees.

The company says its new Incognito Chat allows you to use its AI chatbot without anyone else—including Meta—being able to access your conversations.
AI PrivacyMetaProduct Launch
News MarkTechPost May 13

Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size

By Asif Razzaq

64 score
AI Analysis

Fastino Labs open-sourced GLiGuard, a 300M-parameter safety moderation model that matches or exceeds the accuracy of models 23-90x its size, dramatically reducing guardrail latency and cost.

As LLM-powered applications move into production — and as AI agents take on more consequential tasks like browsing the web, writing and executing code, and interacting with external services — safety moderation has quietly become one of the most operationally expensive parts of the stack. Most developers who’ve deployed a production LLM system know the problem: you need to evaluate every user prompt before it reaches the model, and every model response before it reaches the user. That m
Open SourceAI SafetyModel Efficiency
News AI (artificial intelligence) | The Guardian May 13

Chinese court awards compensation to sacked worker replaced by AI

By Amy Hawkins Senior China correspondent

62 score
AI Analysis

A Chinese court awarded over £28,000 in compensation to a worker fired and replaced by AI, in a case seen as balancing China's AI adoption enthusiasm with job security protections.

Case attracts widespread attention as example of China balancing enthusiastic adoption of AI with job securityA court in China has ruled in favour of a worker whose company replaced him with artificial intelligence (AI), awarding him more than £28,000 in compensation.The worker, whose surname is Zhou, joined a tech company in the eastern city of Hangzhou in 2022 as a quality assurance supervisor overseeing large language models used in AI products. Continue reading...
AI Policy & GovernanceLaborChina
News aibusiness May 13

Bosch, Researchers Develop AI for Humanoid Dexterity

By Scarlett Evans

62 score
AI Analysis

Bosch and academic researchers developed a 'touch dreaming' system for humanoid robots that boosts dexterous manipulation success rates by 90.9%.

The teams say the new “touch dreaming” system can boost humanoid robot success rates by 90.9%.
RoboticsPhysical AIResearch
News AI (artificial intelligence) | The Guardian May 13

Datacentres using 6% of electricity supply in UK and US, research says

By Robert Booth UK technology editor

60 score
AI Analysis

Research from the IDCA shows datacenters now consume 6% of electricity in the UK and US, with global datacenter investment approaching $1 trillion annually—nearly 1% of global GDP.

Industry body says energy consumption driven by AI up 15% globally in two years as it warns of societal backlashDatacentres are consuming 6% of electricity in the UK and US, with the growing strain of AI on energy supplies prompting community resistance, according to research.The proportion of electricity used by vast warehouses stacked with microchips to power AI and the internet has risen 15% worldwide in the past two years as annual global investment in datacentres approaches $1tn (£740bn) –
AI InfrastructureEnergySustainability