AI Leaders Demand a Slowdown: Altman, Musk and Amodei Unite on Safety as Trump Rejects Washington Control and the U.S.–China AI Race Reaches a Breaking Point

AI Leaders Demand a Slowdown: Altman, Musk and Amodei Unite on Safety as Trump Rejects Washington Control and the U.S.–China AI Race Reaches a Breaking Point

The leaders building the world’s most powerful artificial-intelligence systems are doing something almost unprecedented: asking everyone to slow down. Anthropic CEO Dario Amodei has called for government action to pace frontier AI development, and his proposal has drawn support from OpenAI CEO Sam Altman, Elon Musk, and Microsoft CEO Satya Nadella. Yet the Trump administration says the laboratories do not need Washington’s permission to act responsibly—and warns that slowing America could hand the advantage to China.In this episode of The Daily AI Chat, we examine WIRED’s September 14, 2026 report on the emerging battle over who should control the speed of AI progress. Reporter Isabella Ward describes a widening split between laboratory leaders who say competitive pressure could produce reckless decisions and administration officials who argue that companies can voluntarily pause or coordinate without imposing new federal controls.The debate begins with Amodei’s proposal for an industry-wide pacing strategy. He wants leading AI companies to coordinate on safety standards, bring in independent evaluators with meaningful access to models and internal practices, and work toward international cooperation. Altman endorsed the idea of embedded third-party evaluators and acknowledged that stronger safeguards would impose real costs. His conclusion was blunt: American competitive pressure should never become an excuse for recklessness.That agreement is remarkable. OpenAI, Anthropic, xAI, Microsoft, Google, and other frontier players normally compete for scarce chips, elite researchers, enterprise customers, and technological prestige. A laboratory that slows while its rivals continue may lose billions of dollars and years of strategic advantage. That is why supporters of coordinated pacing say voluntary promises may collapse unless every major developer faces comparable expectations.President Donald Trump and his advisers see a different danger. Trump says the United States leads China in AI and must keep that lead because whoever wins AI wins. House Speaker Mike Johnson warns that emergency regulation could cause America to lose the race. Technology adviser David Sacks argues that companies worried about their unreleased models can simply delay them themselves, without demanding an antitrust waiver or a government-managed cartel.The international dimension makes every choice more difficult. Washington views China’s AI ecosystem as both an economic competitor and a national-security threat. But Amodei also says global pacing ultimately requires cooperation with China. If the United States restricts China’s access to advanced chips while simultaneously asking Beijing to cooperate on frontier safety, what bargain could either side realistically accept?This episode also considers what a workable framework might look like: independent testing before deployment, confidential access for qualified evaluators, incident reporting, shared thresholds for dangerous capabilities, cybersecurity requirements, and narrowly tailored coordination rules. The goal would not be to stop useful AI, but to prevent competition from rewarding the company willing to take the greatest risk.The argument is no longer a simple clash between technologists and regulators. Some of the loudest demands for stronger guardrails now come from the executives building the models, while government leaders emphasize speed, markets, and geopolitical dominance. That reversal could define the next phase of AI policy.Join us as we separate genuine safety concerns from strategic positioning, examine whether voluntary restraint can survive a global race, and ask who should be accountable if the most capable AI systems advance faster than institutions can manage them.Source: WIRED, September 14, 2026. Reporting by Isabella Ward.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(166)

GPT-6 Sol and Luna Launch: OpenAI Says Its New AI Models Cut API Costs in Half and Make Fewer Mistakes as Competition With Anthropic Heats Up Across ChatGPT and Codex

GPT-6 Sol and Luna Launch: OpenAI Says Its New AI Models Cut API Costs in Half and Make Fewer Mistakes as Competition With Anthropic Heats Up Across ChatGPT and Codex

OpenAI has expanded its GPT-6 lineup with Sol and Luna. The company says the new models cost half as much through the API as their GPT-5.6 counterparts while making fewer factual and coding mistakes. ...

22 Syys 17min

AI Data Center Backlash Is Growing: Why Pennsylvania Residents, Unions, and Environmental Groups Are Fighting New Construction as the AI Infrastructure Boom Accelerates

AI Data Center Backlash Is Growing: Why Pennsylvania Residents, Unions, and Environmental Groups Are Fighting New Construction as the AI Infrastructure Boom Accelerates

AI companies are racing to build the data centers that power bigger models and new products. But the communities asked to host that infrastructure are raising questions about electricity costs, water,...

22 Syys 17min

Nscale’s $103 Billion AI Contract Backlog Meets Wall Street: The IPO Test for Microsoft and Anthropic Dependence, Financing Risk, Data Centers, and the Neocloud Boom

Nscale’s $103 Billion AI Contract Backlog Meets Wall Street: The IPO Test for Microsoft and Anthropic Dependence, Financing Risk, Data Centers, and the Neocloud Boom

Nscale says it has more than $103 billion in contracts. Now the British AI cloud company is preparing to go public, and its filing exposes a question investors across the AI boom can no longer avoid: ...

22 Syys 10min

AI Speaks to the Other 3 Billion: Inside the Gates Foundation Coalition Fixing the Global Language Data Gap With Anthropic, Google and OpenAI—and Why It Matters

AI Speaks to the Other 3 Billion: Inside the Gates Foundation Coalition Fixing the Global Language Data Gap With Anthropic, Google and OpenAI—and Why It Matters

Artificial intelligence can write essays, generate code and answer questions in seconds—but for billions of people, it still struggles to understand the language they actually speak. The Gates Foundat...

21 Syys 21min

UN Scientists Warn AI Agents Are Outpacing Traditional Safeguards: Inside the Global Push for Precaution, Governance and Controls Before Autonomous Systems Scale

UN Scientists Warn AI Agents Are Outpacing Traditional Safeguards: Inside the Global Push for Precaution, Governance and Controls Before Autonomous Systems Scale

AI agents are rapidly moving beyond simple question-and-answer tools. They can plan, use software, communicate with other systems, and take actions with limited human supervision. Now a new United Nat...

21 Syys 18min

Only 7,000 Humanoid Robots Sold Worldwide: The Reality Behind the AI Robotics Boom, China’s Ambitions, Factory Pilots and the Race to 1.2 Million by 2030

Only 7,000 Humanoid Robots Sold Worldwide: The Reality Behind the AI Robotics Boom, China’s Ambitions, Factory Pilots and the Race to 1.2 Million by 2030

Humanoid robots can run, box, dance, carry parts, and dominate technology demonstrations—but how many are actually being sold and put to work? In this episode of The Daily AI Chat, we examine a striki...

21 Syys 20min

Big Tech’s Hidden $300 Billion AI Debt Bet: How Off-Balance-Sheet Guarantees Are Financing the Data-Center Boom—and What Investors Should Watch, Explained

Big Tech’s Hidden $300 Billion AI Debt Bet: How Off-Balance-Sheet Guarantees Are Financing the Data-Center Boom—and What Investors Should Watch, Explained

Big Tech’s artificial-intelligence spending boom may be even larger—and more financially complex—than corporate balance sheets suggest. In this episode of The Daily AI Chat, we unpack Financial Times ...

20 Syys 20min

AI Is Finding Software Flaws Faster Than Humans Can Fix Them: Inside the Vulnerability Explosion Overwhelming Security Teams, Browsers and Open-Source Maintainers

AI Is Finding Software Flaws Faster Than Humans Can Fix Them: Inside the Vulnerability Explosion Overwhelming Security Teams, Browsers and Open-Source Maintainers

The AI security crisis may not begin with a superintelligent system escaping control. It may arrive as an overwhelming flood of ordinary software bugs discovered faster than people can investigate, pr...

20 Syys 20min

Suosittua kategoriassa Politiikka ja uutiset

uutiscast
vallattomat
aikalisa
politiikan-puskaradio
rss-viihde-media
ootsa-kuullut-tasta-2
rss-ootsa-kuullut-tasta
rss-vaalirankkurit-podcast
tervo-halme
rss-voi-venaja
otetaan-yhdet
et-sa-noin-voi-sanoo-esittaa
rss-ulkopoditiikkaa
rss-podme-livebox
rss-asiastudio
rikosmyytit
the-ulkopolitist
rss-raha-talous-ja-politiikka
rss-kaikki-uusiksi
aihe