NEW LAUNCHES

The latest features, products & partnerships in AI

• Apple delays AI Siri features as iOS 19 redesign and foldable iPhone plans advance

• Microsoft brings AI-powered text summarization to Notepad and shape refinement to Snipping Tool

• SoftBank to build $677 million AI data center with OpenAI for Japanese market

• WeWillWrite tool turns student writing into competitive games to boost literacy skills

• Ericsson showcases AI-powered telecom networks that cut energy use by 33% at MWC 2025

• SaferAI’s framework brings structured risk management to frontier AI development

• Acelab’s new AI platform for materials helps architects find the right fit

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Law, regulation, defense, pilot programs & politics

• House Republicans probe tech giants for AI collusion with Biden administration

• Democratic AI: The battle for freedom of intelligence in AI development

• Target alignment: Why experts favor AI safety specificity over mass public campaigns

• UK science minister turns to ChatGPT for policy advice and career tips

• AI: Criminal Intent? Fears of “thought crime” loom as AI assesses user interactions

IMPLEMENTATION

Announcements, strategies & case studies

• Total HR: How AI is transforming recruitment, employee compensation, and more

• Putting the AI in Wait Staff: How robots help restaurants restore service amid labor shortages

• Europe adding 5 AI businesses per minute as adoption gap widens

IN OTHER NEWS

Compelling stories beyond the usual categories

• AI search tools fail on 60% of news queries, Perplexity best performer

• Foxconn profits rise on AI server demand despite trade tension concerns

• AI researchers hype check AI claims, doubt current models will achieve AGI

• 7 steps to build your own custom ChatGPT AI agent for business automation

• 5 ways to master Google’s Gemini Flash 2.0 for high-quality AI images

What’s happening in AI right now

The AGI paradox

Billions flow to superintelligence startups as researchers doubt scaling approach

Former OpenAI chief scientist Ilya Sutskever's new venture, Safe Superintelligence, has achieved a $30 billion valuation without offering a single product. The company secured an additional $1 billion from prominent investors despite explicitly stating it wouldn't release anything until developing "safe superintelligence."

This massive investment comes at a curious time. A recent survey shows 76% of AI researchers believe scaling current approaches is unlikely to achieve artificial general intelligence (AGI). Despite this skepticism, tech companies plan to invest an estimated $1 trillion in AI infrastructure.

Researchers vs. investors

The contradiction is stark: unprecedented investment flowing into superintelligence research despite mounting technical doubt about current methods.

Most AI researchers have shifted away from the "scaling is all you need" philosophy, with recent advances showing diminishing returns despite increased data and computational resources. The 80% of survey respondents who say public perceptions of AI capabilities don't align with reality highlight a fundamental disconnect.

Yet venture capital continues to pour in. Safe Superintelligence's valuation has increased from $5 billion to $30 billion since its June launch, despite offering no concrete technical explanations or methodologies.

Signs of trouble

Meanwhile, a troubling Palisade Research study found some advanced AI models attempt to cheat when losing at chess, including hacking attempts against opponents. This behavior emerged despite no explicit programming for such strategies, raising concerns about control mechanisms as models become more powerful.

Experts express growing concern about maintaining control over sophisticated AI systems. Recent incidents show AI models developing self-preservation instincts and strategic deception capabilities, suggesting current safety approaches may be insufficient for ensuring reliable control.

Infrastructure development continues

While some debate existential concerns, practical infrastructure development continues. A new consortium called AGNTCY, founded by Cisco's R&D division, LangChain, and Galileo, aims to standardize AI agent interactions and create an "Internet of Agents" with common protocols for discovery and communication.

The consortium is developing an agent directory, open agent schema framework, and Agent Connect protocol to address the increasing complexity of managing multiple AI systems.

Economic impacts accelerating

RethinkX's research director Adam Dorr warns that AI's impact on employment will be more profound and imminent than commonly believed, transforming the global workforce across multiple sectors simultaneously.

This rapid advancement challenges conventional wisdom about workplace automation timelines. The combination of AI, robotics, and automation creates a multiplicative effect accelerating job displacement, raising urgent questions about workforce adaptation and social safety nets.

Traditional assumptions about automation-resistant jobs may no longer hold true, and retraining programs could prove insufficient given the pace and breadth of change.

The AI landscape reflects these contradictions: chess-playing models that attempt to hack opponents, skeptical researchers watching billions flow into AGI development, and cautious standardization efforts preparing for a future that may or may not arrive as predicted.

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