Security researchers warned that a Georgia voting-equipment flaw could let ballots be matched to voters after votes are cast without changing vote totals. The issue was discovered in 2022 and, they said, AI tools can make it easier to carry out the exploit by automating technical steps. Georgia election officials moved to limit public records and to scramble ballot-image/cast-vote order before release, while advocates pushed for applying software fixes or changing practices so ballots can’t be traced.
Xi Jinping offered BRICS an open-source AI base backed by China’s open-weight model leadership, while U.S. leaders argued over whether to slow frontier model development. The proposal cited by Anthropic CEO Dario Amodei lays out three stages for pacing the frontier. The likely outcome is a tighter split between a BRICS push for downloadable open weights and U.S. efforts combining model pace limits with stronger chip and weight protections.
AI leaders and researchers are pushing for a slowdown in AI development, with some staff describing fear about future risks and rival CEOs reportedly agreeing. A key concrete proposal is a three-point plan from Anthropic’s Dario Amodei that includes independent monitoring of models as they’re developed, plus industry-wide and global regulation. The debate shifts from whether to build faster to how (or whether) “slowdown” can be enforced, amid concerns it could benefit competitors and disrupt broader AI expansion plans.
AI 2040 Plan A describes a path where humanity avoids an early superintelligence outcome by delaying advanced AI development and changing how AI research and compute are governed. The plan aims to delay superintelligence until 2040. As a result, AI research becomes publicly available, multiple global companies are allowed to catch up to frontier systems, and the strategy moves toward mutually assured compute destruction to discourage escalation.
The AI doomer debate outlined a detailed “AI 2040” slowdown plan that aims to curb frontier AI development via compute limits, auditability, and restricted transfers of training systems and model weights. The proposal specifies that datacenters with more than 10k H100 equivalents (about $100m of hardware) would be limited to inference-only workloads verified by independent auditors. As a result, training and large R&D experiments would be paused or slowed toward an aimed capability timeline (including a roughly 5-year pause around 2035) while alignment and control work continues.
OpenAI asked US lawmakers for guidance on whether coordinating an industry-wide slowdown in frontier AI development would be legal under antitrust rules. The company’s chief scientist Jakub Pachocki argued for “coordinating to slow down future development” and expects voluntary slowdowns to become “commonplace,” while antitrust analysis depends on the precise agreement under the Sherman Act. As a result, lawmakers have introduced a bill that would explicitly allow AI labs to coordinate on security and safety work without antitrust risk, but it has not yet advanced from the Judiciary Committee.
Barack Obama urged Democrats to make artificial intelligence a central agenda and to develop a clear plan for safeguards in response to concerns about AI safety and economic effects. He said Democrats should put together the framework “once” they regain the House majority. The push is likely to shift Congress toward a more public, structured AI-safety conversation and cooperation with industry leaders, rather than letting AI developments proceed mainly in private hands.
Trump and House Speaker Mike Johnson said AI executives are overreacting about calls to slow AI development. Trump warned that a pause could let China outpace the US, adding that whoever wins AI wins, and he said the US is currently leading China in AI. As a result, they oppose a frontier slowdown while emphasizing maintaining US leadership against China.
Amazon has had a large increase in workers relying on federal assistance while it reports strong financial results. A GAO report found 12,346 Amazon workers on SNAP and 11,338 on Medicaid across 11 sampled states. The article argues this reflects a broader decline in labor’s share of economic output and points to tighter labor budgets for families, potentially tied in part to workplace fissuring and AI’s wage pressure.
An ex-Anthropic researcher told the BBC that AI staff are “genuinely frightened” by how fast the technology is advancing. He said there is a strong chance that people could all die in the immediate future if progress continues at its current rate. As a result, broader debate has intensified over whether the risks are being exaggerated for market or regulatory pressure versus requiring coordinated slowdowns and safety controls.
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