Federal regulators intensify oversight of generative AI safety protocols
The Federal Trade Commission has launched a formal investigation into Anthropic and OpenAI, citing concerns over deceptive model behavior and public safety.

Amid the rapid advancements in artificial intelligence, the discussion around Artificial Super-Intelligence (ASI) is gradually shifting from the realm of science fiction to a pressing global agenda.
As AI continues its relentless march forward, the question at the heart of the debate is not only whether we can control ASI, but more critically, how we shape its evolution to reflect the best of human values.
This narrative is not just about technology; it’s a profound inquiry into human nature and the aspirations we project onto the machines we create.
On May 10, 2025, MIT physicist Max Tegmark made a compelling case for a cautious approach to ASI, likening it to the historic Trinity-test calculus of the Manhattan Project.
Tegmark’s stark assessment suggests that the probability of losing control over AGI (Artificial General Intelligence) is alarmingly high, over 90%, a sentiment echoed by over a thousand researchers and CEOs who have called for making AI safety a global priority.
The urgency of Tegmark’s message is underscored by the irony that many of those advocating for caution are simultaneously investing heavily in AI development.
The crux of the matter lies in the aspirations that shape these algorithms.
AI, even when it reaches super-intelligence, will mirror the mindset of its makers.
This is both a warning and a beacon of hope.
It means that the future of ASI is not predetermined; we have the power to choose the path it takes.
The very aspirations we hold can either drive us towards a digital Machiavelli or a benevolent planetary ally.
Philosopher-analyst Joe Carlsmith provides a framework to quantify the risks, breaking down the danger into six testable premises.
This approach allows researchers and developers to input their own probabilities and derive a live risk assessment.
Carlsmith estimates a 10% chance of civilization collapse due to misaligned AI systems by 2070, a chilling prediction that has prompted corporate labs to take risk assessment seriously.
OpenAI’s Preparedness Framework, for instance, sets capability thresholds and mandates that no model breaching a “High-Risk” line can be released without adequate counter-measures.
Yet, risk is only one side of the coin.
The potential benefits of AGI are too significant to ignore.
From breakthroughs in decarbonization to personalized education and rapid drug discovery, the upside is vast.
The challenge, therefore, is to harness these benefits while mitigating existential risks.
Research into achieving safe AGI is accelerating, with initiatives like Constitutional AI and Cooperative AI leading the way.
These efforts aim to create systems that are not only intelligent but also aligned with prosocial values.
However, these approaches remain exceptions, not the norm.
The majority of AI models continue to reflect the competitive and short-term profit-driven standards of human society.
This underscores the importance of a radical shift towards designing ProSocial ASI — systems whose organizing principle is altruistic value creation.
The journey towards safe and beneficial ASI involves four integrated steps: diagnosing probability, modeling severity and exposure, baking mitigation into incentives, and elevating human agency.
These steps are more narrative than technological, binding the digital to the analogue.
They emphasize that governance must be accompanied by a cultural change; otherwise, it is mere theater.
Aligning, scrutinizing, and incentivizing AI development helps transform intuition into insight, and panic into preparation.
At its core, the alignment of ASI with human values is about drafting a clear moral compass.
This involves creating a public constitution that outlines the system’s prosocial goals and red lines, and ensuring transparency so that trust is built on verifiable science.
It also means measuring what truly matters and rewarding collaboration over zero-sum dominance.
The future of ASI is not a question of machines outgrowing humanity, but rather humanity evolving into the values we want these machines to scale.
ASI, when measured rigorously, aligned early, and governed by our highest ideals, can indeed help humanity flourish.
The blueprint for this future is not only in our technological advancements but also, more importantly, in our collective mindset and aspirations.
As we stand on the cusp of a new era, the choices we make today will determine whether ASI becomes a force for good or a harbinger of dystopia.
It is a reminder that the most critical AI hardware is not silicon-based but resides within the synaptic networks of our minds.
The path to a future where both people and the planet thrive is already within our reach — it is up to us to walk it.
The Federal Trade Commission has launched a formal investigation into Anthropic and OpenAI, citing concerns over deceptive model behavior and public safety.
The expansion introduces agentic decision flows to bolster investigative capabilities for a national security agency in the EMEA region.
Bipartisan efforts to mandate third-party AI model evaluations gain critical industry support as lawmakers push for enforceable federal safety standards.