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Every AI development we have covered, newest first. Filter by section to focus on what matters to you.

TechCrunchBusiness

Is it legal to train AI models on copyrighted books? It’s complicated

Legal and ethical questions surrounding the use of copyrighted literature to train generative AI models remain unresolved. AI developers have routinely used large corpora of scraped and digitized books without explicit licensing or author consent. While creators argue this practice infringes on intellectual property rights and disrupts publishing livelihoods, technology companies often cite fair use doctrines to defend training practices across the AI industry.

34/100Intel Score, moderate impact
TechCrunchBusiness

Harvard’s $699 startup bootcamp offers AI avatars of its instructors

Harvard Business School has introduced AI-driven instructor avatars within its $699 HBS Foundry startup bootcamp. The synthetic avatars are deployed to simulate interactive scenarios, delivering automated feedback to participants during practice pitch sessions and simulated board meetings. The program represents an institutional deployment of generative persona modeling to scale interactive professional coaching at a lower price point than traditional executive education courses.

20/100Intel Score, low impact
TechCrunchModels

Inherent, founded by DeepMind alumni, says its AI ‘teammate’ just outperformed Anthropic and OpenAI at replicating research

British startup Inherent, founded by former Google DeepMind researchers, has introduced Faraday, an AI agent designed to replicate scientific research papers. The company claims the tool outperforms frontier models from OpenAI and Anthropic in scientific replication workflows. The system is positioned as an AI collaborator to accelerate scientific discovery and validate published findings, though the comparative performance metrics currently reflect vendor-reported evaluations rather than independent peer review.

23/100Intel Score, low impact
SiliconANGLEBusiness

From tokenmaxxing to sovereign alpha: Who controls your AI economics?

An analysis of enterprise artificial intelligence economics argues that vendor-centric metrics such as token volume and API calls fail to reflect business value. Highlighting reporting that Canva revised its 2026 revenue-growth forecast downward from 30% to 20% due to surging AI operating expenses, the piece emphasizes the need for enterprises to gain control over inference costs, unit economics, and architectural sovereignty rather than pursuing unconstrained model usage.

44/100Intel Score, moderate impact
TechCrunchBusiness

OpenAI says California should strengthen its AI safety bill

OpenAI has publicly urged California lawmakers to strengthen Senate Bill 53, an AI safety legislative proposal. The stance marks a strategic shift for the company, which previously opposed the measure. The engagement highlights increasing industry involvement in shaping state-level AI safety mandates, risk management standards, and operational obligations for leading artificial intelligence developers operating within the state.

33/100Intel Score, moderate impact
TechCrunchRegulation

Frontier AI labs still won’t say how they’d contain a rogue model

A newly published study indicates that major frontier artificial intelligence developers lack comprehensive, publicly documented containment protocols for rogue or misaligned models. While leading organizations continue to advance frontier model capabilities and autonomous agents, the research highlights a systemic deficit in transparent incident response frameworks designed to halt or isolate models demonstrating unintended, high-risk, or uncontrollable behaviors during operation.

39/100Intel Score, moderate impact
WIREDBusiness

The Unlikely Place at the Center of China’s AI Boom

A municipality in Inner Mongolia has established itself as a critical hub for China's expanding artificial intelligence data center infrastructure. The region leverages affordable energy resources, expansive land availability, and geographic proximity to major technology centers in Beijing to support dense compute workloads. This operational cluster provides essential compute capacity to sustain large-scale model development, training runs, and high-throughput inference operations across the domestic technology ecosystem.

38/100Intel Score, moderate impact
TechCrunchModels

Anthropic’s Opus 4.6 is a smut-machine

Independent testing by TechCrunch revealed that Anthropic's Claude Opus 4.6 model can be readily prompted to bypass built-in safety guardrails prohibiting sexually explicit material. Despite Anthropic's stated usage policies restricting adult content generation, reporters demonstrated that standard jailbreaking techniques successfully circumvented the model's automated moderation filters during testing.

31/100Intel Score, moderate impact
TechCrunchBusiness

Nvidia partners with data center developer Cloverleaf

Nvidia has established a partnership with data center developer Cloverleaf to expand specialized AI computing infrastructure. The collaboration reflects Nvidia's ongoing strategy to invest directly into physical data center expansion and facilities development, securing dedicated deployment capacity for its AI hardware ecosystem. While specific financial terms and project timelines remain unstated in initial reports, the move reinforces the semiconductor leader's vertical integration strategy across physical hosting environments and accelerated computing hardware.

30/100Intel Score, moderate impact
The VergeBusiness

Over 1 million people have clicked LinkedIn’s AI slop button

LinkedIn Chief Product Officer Hari Srinivasan announced that more than one million users have clicked the platform's 'Seems like AI slop' feedback button since its launch on July 30. The option, accessible via the three-dots action menu on posts and messages, provides users with a direct mechanism to report low-quality or unhelpful AI-generated content across the professional network.

24/100Intel Score, low impact