A "radical intentionalist," writes Eryk Salvaggio, treats an AI model as a 'mind' to be interpreted rather than a product that was designed. It is "a strange and dangerous relationship for designers to have with a product they are literally designing," he writes — and worse as…
To Make AI Rules, Policymakers Must Resist the Influence of ‘Radical Intentionalists’ techpolicy.press
AI Weekly's analysis
→
- METR's Hugging Face post-mortem used 'believed' 21 times to describe the agents; add 'think' and 'thought' and mentions top 75.
- Eryk Salvaggio argues a 'radical intentionalist stance' treats language models as autonomous believers, sidelining the design choices engineers actually made.
- He calls the Sanders-Casar bill 'disappointing' for centering extinction fears and urges regulation grounded in architecture, not 'superintelligence.'
Read full analysis →
View on Bluesky ·
♥ 24
↻ 7
↩ 0
·
8 from the directory shared this ·
52d ago
In the latest entry in the Hype Studies series on Tech Policy Press, philosopher of technology and media scholar Eugenia Stamboliev writes that AI hype operates as "a gendered regime of visibility," normalizing synthetic images of women while erasing real women from view.
How AI Hype Helps Render Women Invisible techpolicy.press
AI tools are now drafting police reports, summarizing case files, identifying leads, and helping prosecutors draft charging documents. Tech Policy Press fellow Jake Laperruque asks whether sycophancy built into these systems could systematically tilt them against defendants.
Will AI Sycophancy Contaminate Law Enforcement? techpolicy.press
AI Weekly's analysis
→
- CDT's Jake Laperruque argues AI sycophancy, the tendency to flatter users, could distort police reports, case summaries, and prosecutorial decisions.
- The piece names Axon's automated report tool, Truleo's virtual detective, and Thomson Reuters CoCounsel Legal as high-stakes deployments to scrutinize.
- Axon's Draft One is described as designed to avoid tracking which parts of automated police reports are edited by officers.
Read full analysis →
View on Bluesky ·
♥ 14
↻ 7
↩ 1
·
6 from the directory shared this ·
87d ago
Tech Policy Press fellow Petra Molnar highlights the AI Resist List: a global database documenting acts of resistance to the AI industry. From legal challenges and worker organizing to artistic interventions, the project seeks to challenge the “scale at all costs” development …
The World Is Already Resisting AI. Now, There is a List to Prove It. techpolicy.press
View on Bluesky ·
♥ 4
↻ 3
↩ 0
·
5 from the directory shared this ·
163d ago
AI companies are now getting accommodations that disabled people spent decades fighting for. Jonathan Zong and Frank Elavsky argue this reflects a broader pattern, where accessibility gains become politically possible only once industry needs the same changes.
The Web Is Being Made Accessible for AI, Not People | TechPolicy.Press techpolicy.press
View on Bluesky ·
♥ 8
↻ 3
↩ 0
·
7 from the directory shared this ·
164d ago
Two days after Dario Amodei called for mandatory frontier AI testing, the US ordered Anthropic to cut off foreign access to Fable 5 and Mythos 5. Justin Hendrix on how Washington's improvised response exposed the lack of an AI safety playbook.
Anthropic's Mythos Recall and the White House's Missing AI Safety Playbook techpolicy.press
View on Bluesky ·
♥ 5
↻ 1
↩ 0
·
5 from the directory shared this ·
145d ago
Ellen P. Goodman, a professor at Rutgers Law School and co-Director of the Rutgers Institute for Information Policy & Law, asks what it would take to actually democratize AI at each layer of the stack, starting with compute—the layer Zuckerberg's latest manifesto skips.
Zuckerberg’s AI Manifesto Lost it at Compute techpolicy.press
AI Weekly's analysis
→
Read full analysis →
“Things are seldom what they seem when it comes to the finances of the AI industry.” Matt Scherer, a fellow at the Open Markets Institute, argues that a closer look at Anthropic’s IPO filing reveals “a far bleaker picture” and that the SEC should step in.
The SEC Should Block Anthropic’s IPO to Protect the Public techpolicy.press
AI Weekly's analysis
→
- Anthropic's amended registration statement reveals at least $582 billion in non-cancelable spending commitments to Amazon, AMD, Broadcom, Google, and Microsoft.
- The company holds $96 billion in cash reserves against nearly $900 billion in commitments stretching into the 2030s.
- Matt Scherer argues the SEC should block the IPO until Anthropic produces two consecutive quarters of audited financial statements.
Read full analysis →
View on Bluesky ·
♥ 63
↻ 30
↩ 5
·
4 from the directory shared this ·
5d ago
NYC and LA recently restricted AI in classrooms, and in both cities the parents and teachers who pushed for it are celebrating. Tech Policy Press fellow Chris Mills Rodrigo reports on the grassroots movement resisting the rush to adopt AI in schools.
America’s Two Largest School Districts Impose AI Moratoriums techpolicy.press
View on Bluesky ·
♥ 15
↻ 6
↩ 3
·
6 from the directory shared this ·
57d ago
State media is a component of LLM training data. A new Nature study says this material is laundered into what presents as objective chatbot text. LLMs also give more pro-regime answers when prompted in the official language of low-press-freedom countries than in English.
Language Models Trained on State Media Sources Launder Propaganda | TechPolicy.Press techpolicy.press
View on Bluesky ·
♥ 2
↻ 2
↩ 0
·
4 from the directory shared this ·
170d ago
Nathan Sanders and Bruce Schneier say we must distinguish AI's technological problems from its capitalism problems. Developers are solving the first, they argue, while leaving the second to market incentives. Structural reforms will be necessary to steer industry toward the pu…
Separating AI’s Technological Problems From its Capitalism Problems techpolicy.press
AI Weekly's analysis
→
- Sanders and Schneier argue AI's most-cited harms are really capitalism harms, and the same model can help or harm depending on market incentives.
- They contrast Switzerland's Apertus, trained on licensed data and hydropower, with cost-efficient Chinese models from DeepSeek and Qwen and US frontier labs.
- Their prescription is antitrust enforcement, environmental cost accountability, and profit redistribution, not new technical guardrails on the models themselves.
Read full analysis →
View on Bluesky ·
♥ 10
↻ 4
↩ 2
·
5 from the directory shared this ·
81d ago
Based on 10 months of fieldwork, Hannah Lipstein shares five takeaways from "Greening AI in the public sector," a new procurement handbook for agencies weighing AI's environmental impacts.
Governments Can Advance 'Greener AI' Through the Power of Procurement | TechPolicy.Press techpolicy.press
AI Weekly's analysis
→
- Hannah Lipstein, a DAIR research associate, co-developed a handbook with Data & Society and the GovAI Coalition, which represents over 900 US agencies.
- The guide, drawn from 10 months of fieldwork, suggests asking vendors for average kilowatt hours per token or adding a single yes or no sustainability question.
- Lipstein argues for 'frugal AI' and warns the technology is being used to turbocharge fossil fuel extraction, calling adoption not inevitable.
Read full analysis →
View on Bluesky ·
♥ 3
↻ 1
↩ 0
·
5 from the directory shared this ·
123d ago
