AI Now's Chief AI Scientist @heidykhlaaf.bsky.social joined @democracynow.org to demystify the misconceptions around AI in military decision making and discuss our visual project with @airwars.bsky.social: ai-killchain.airwars.org
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Articles & links
Ending AI exceptionalism is key to holding tech companies accountable. Policymakers have a track record of being deferential when dealing with the tech sector, said AI Now's @ayaibrahim.bsky.social, but it's an industry like any other in need of regulation. www.washingtonpost.…
AI firms are spending trillions on infrastructure, but does the demand exist to justify it? "The returns are not coming in & the claims that are being made in terms of efficiency or productivity numbers are not netting out." cbsnews.com/news/ai-bubble-tech-selloff-investment-c…
The alarmist claims of existential threat dominating recent headlines are not grounded in scientific evidence. AI Now’s @heidykhlaaf.bsky.social is not letting them go unchecked: “These claims are neither falsifiable nor verifiable, making them unscientific by their very natur…
- Anthropic CEO Dario Amodei warned a swarm of AI agents could take over the entire internet within six to 12 months, causing hundreds of billions in damage.
- Anthropic alignment lead Evan Hubinger puts the probability of AI-driven human extinction above 10% within the next decade.
- NYU's Gary Marcus called the internet-takeover claim 'nonsensical' and AI Now's Heidy Khlaaf said such extinction odds are 'neither falsifiable nor verifiable'.
Momentum is building around regulating the AI industry, but we need to parse out real world corporate negligence from the alarmist and distracting warnings manufactured by the industry itself. AI Now's @smw.bsky.social speaks with @davey.bsky.social: www.bloomberg.com/news/art…
Public concern is growing around the impact of AI in our everyday lives. AI Now's @smw.bsky.social warns that opposition is deeper than a simple PR issue. People can see what their jobs and lives will be like with this technology, and are pushing back: www.cnbc.com/2026/08/29/…
The history of AI development is not rooted in neutral algorithms, but in entrenched systems of power that shape our lives. Ghost in the Machine dives into this history, interrogating who builds this tech, who benefits from it, and who bears the cost 👉 https://t.co/6SbClYmCxM
Adding humans into the loop to evaluate AI isn’t a cure-all for the myriad harms of AI. AI Now's @sarahbmyers spoke with @daveyalba about why benchmarks that measure real world use are key for mitigating risks and getting the rules right: https://t.co/UMBfQQkprN
It's not the first time that ominous warnings about the future of AI have dominated the news cycle. But, conveniently, this time AI companies were ready to position themselves as the only ones who can solve such problems, says AI Now's @ambakak.bsky.social: www.theguardian.com…
- Jacob Coxon, 27, resigned from Anthropic on September 8 with an X post that drew more than 90 million views in under 24 hours.
- Coxon accused Anthropic and OpenAI of 'gambling with our lives' by racing to self-improving AI, while saying today's models are safe for everyday use.
- What sets the warning apart is its source: a Cambridge maths graduate who spent three years building pretraining capabilities, not a safety-team resignation.
The documentary is playing at select community screenings across the country and is available online via @PBS. Tonight, AI Now's Alli Finn is joining a panel discussion at the screening in NYC! https://t.co/ZF1OGVdnQG
Who regulates AI when Washington won’t? @smw.bsky.social joins @usatoday.com's The Excerpt to discuss how AI companies “are being allowed to grade their own homework” and how to fill these regulatory gaps to protect frontline communities. Listen here: podcasts.apple.com/us/pod…
Recent commentary
We're at risk of AI companies not only "grading their own homework, but setting the curriculum" for how we hold them accountable for the harms and risks they create. AI Now's @ambakak.bsky.social speaks to @ramirez.house.gov at the Monopoly Busters Caucus hearing on Big Tech and AI.
Big Tech wants to sell the idea that their models are all powerful + autonomous. In reality, these companies are failing to implement basic safety practices to monitor + control their agents. AI Now's @heidykhlaaf.bsky.social points to the Hugging Face incident as an example 👇 via @pbsnews.org
The speculative frenzy and doomsday AI narratives circulating alongside calls for regulation are no coincidence. They come from the same source: AI companies. AI Now's @smw.bsky.social talks w/ @mcgrathmag.bsky.social about restraining the political and economic power of AI companies as a priority.
"The internet remembers everything." Nowadays, info online can be removed, distorted, falsified or censored completely. Next week, AI Now's @smw.bsky.social, @stevefeldstein.bsky.social & @mashagessen.bsky.social discuss how rewriting digital history is the latest tool of authoritarian regimes.
This morning, AI Now's @ambakak.bsky.social testified before the Monopoly Busters Caucus on reining in the power of the AI industry. Her testimony calls for clear, enforceable rules of the road, consequences for companies who violate them, and no exemption from the law.
At the Seattle City Council, @katiejwells.bsky.social explained what happens to fair pricing when retailers adopt AI-powered algorithms. She shared why it is so hard to document this practice and highlighted @moreperfectunion.bsky.social’s grocery pricing investigation, which did just that.
This week, @smw.bsky.social testified before the US Senate Committee on Banking, Housing, and Urban Affairs. Her testimony highlighted the economic risks of the ‘AI bubble’ – a race to the bottom, where the American people absorb all of the downsides; higher prices, job loss and devaluation.
While AI execs write essays about how dangerous their technology is, President Trump focuses on how we can "win AI" before China. AI Now's Aya Ibrahim speaks to @aljazeera.com about the consequences of AI companies unwilling (not unable!) to control their models.
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