Tag: AI slowdown

  • Anthropic selects Accenture as embedded evaluator for AI slowdown proposal

    Anthropic selects Accenture as embedded evaluator for AI slowdown proposal

    Key Highlights

    • Anthropic has selected Accenture and its AI business Faculty as its first embedded evaluator to implement CEO Dario Amodei’s proposal for slowing AI development through independent oversight.
    • Both companies expect to invest at least $1 billion each in the partnership over the next five years, with Anthropic funding the work directly due to the urgency of establishing safety infrastructure.
    • The non-exclusive arrangement marks the first concrete step toward Amodei’s three-step framework published September 12, which calls for independent evaluators with employee-like access to AI systems.

    Anthropic Moves to Implement AI Slowdown Framework with Accenture Partnership

    Anthropic announced Friday that it has chosen Accenture as its first embedded evaluator, taking a decisive step toward fulfilling CEO Dario Amodei’s recent call for a structured slowdown in artificial intelligence development. The partnership with Accenture’s AI business, Faculty, will focus on evaluating and red-teaming models, conducting alignment assessments, and testing model safeguards—core components of the independent oversight mechanism Amodei outlined in a three-step proposal published September 12.

    Amodei’s Proposal Draws Mixed Industry Response

    Amodei’s framework argues that AI advancement has accelerated dangerously due to recursive self-improvement, where AI systems increasingly build the next generation of AI. In his proposal, Amodei wrote: “AI has been advancing drastically faster, driven primarily by AI’s growing ability to build the next generation of AI. This dynamic is called recursive self-improvement,” and “left unchecked, it could outrun our ability to understand and control these systems.” The proposal received public support from OpenAI CEO Sam Altman and SpaceX CEO Elon Musk, while Nvidia CEO Jensen Huang pushed back, arguing such regulation is unnecessary.

    First Step: Independent Evaluators with Employee-Like Access

    The first pillar of Amodei’s plan calls for independent evaluators granted employee-like access to AI systems—a commitment Anthropic had already made unilaterally. The Accenture partnership begins to operationalize that commitment. Details of how embedded evaluation will function are still being finalized, as the practice is nascent. Anthropic emphasized the arrangement is non-exclusive and expects to announce additional evaluators in the coming weeks.

    Billion-Dollar Investment and Urgency-Driven Funding Model

    Both Anthropic and Accenture anticipate investing at least $1 billion each in the initiative over the next five years. Because no established system exists for funding independent AI evaluation, Anthropic said long-term financing should ultimately come from pooled industry or government sources. However, citing the urgency of the work, Anthropic will fund Accenture’s efforts directly in the interim. Accenture’s Faculty brings experience testing and evaluating models for some of the world’s leading AI labs and building complex AI systems designed to be safe and ethical by design.

    Why This Matters

    The Anthropic-Accenture partnership represents the first major industry attempt to translate high-level AI safety proposals into operational infrastructure. As frontier models grow more capable, the gap between development speed and safety verification has widened. Embedded evaluation—granting independent assessors deep, ongoing access akin to internal employees—addresses a critical blind spot: external audits often occur too late or with insufficient access to catch emergent risks. The $1 billion-plus commitment signals serious resource allocation, but the non-exclusive model and reliance on direct company funding highlight unresolved questions about sustainable, neutral governance. With Amodei’s proposal now moving from theory to practice, the coming months will test whether embedded evaluation can scale across labs and whether competitors follow Anthropic’s lead or pursue alternative safety frameworks.

    Frequently Asked Questions

    What is embedded evaluation in AI safety?

    Embedded evaluation grants independent assessors employee-like, ongoing access to a company’s AI models, infrastructure, and development processes—allowing continuous red-teaming, alignment testing, and safeguard verification rather than one-off external audits.

    How much are Anthropic and Accenture investing in this partnership?

    Each company expects to invest at least $1 billion over the next five years. Anthropic will fund Accenture’s work directly in the near term due to urgency, though the long-term goal is pooled or government-funded independent evaluation.

    Will Anthropic work with other evaluators besides Accenture?

    Yes. The partnership is non-exclusive, and Anthropic has stated it expects to announce additional embedded evaluators in the coming weeks.

  • Solana Founder Links Elon Musk, Altman’s AI Slowdown to ‘Profitability at $1 Trillion Market Cap’

    Solana Founder Links Elon Musk, Altman’s AI Slowdown to ‘Profitability at $1 Trillion Market Cap’

    Solana blockchain co-founder Anatoly Yakovenko reacted with pointed sarcasm after three of the most prominent figures in artificial intelligence simultaneously called for a slowdown in advanced model development. Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman, and xAI founder Elon Musk each warned of safety risks, yet Yakovenko framed the coordinated messaging as a strategic move to protect trillion-dollar valuations.

    Yakovenko Targets Profit Motive Behind Pause Narrative

    Commenting on Amodei’s manifesto, “We Must Pace the Frontier,” Yakovenko posted a concise remark on X: “Profitability at $1 trillion mcap”. He followed up with a tweet mocking the voluntary restraint narrative:

    Profitability at $1t mcap https://t.co/wEpIG4cJ9N
    — toly 🇺🇸 (@toly) September 13, 2026

    The Solana founder’s implication is clear: OpenAI and Anthropic have reached an infrastructure wall. Chip and electricity costs are rising exponentially, while investor pressure demands demonstrable profitability rather than continued capital burn.

    David Sacks Accuses AI Labs of Hypocrisy

    Former White House AI and crypto czar David Sacks amplified the criticism, highlighting what he calls the blatant hypocrisy of leading AI labs. If OpenAI and Anthropic genuinely perceive an existential threat in their own developments, Sacks argues, they do not need industry-wide legislation — they can simply halt their own work voluntarily.

    Instead, Sacks contends the push for top-down regulation serves two pragmatic goals:

    • Eliminating startups: Strict restrictions would block young companies and free open-source projects — such as Meta’s models and the Hugging Face platform — that have rapidly closed the gap with commercial leaders, effectively cementing an artificial duopoly.
    • Ignoring geopolitical reality: A global AI truce is utopian because China will not comply. Under these conditions, restrictions on American labs amount to voluntary technological capitulation by the United States.

    Markets Remain Calm Amid Rhetoric

    Despite the high-profile statements, equity markets showed no panic at Monday’s open. The prevailing consensus holds that a potential slowdown in frontier model development does not signal reduced investment in AI infrastructure; rather, it stretches out equipment procurement cycles.