AI compliance obligations
Regulatory compliance duties for AI deployers, including privacy, disclosures, risk assessments, audits, documentation, and operational controls.
34%
Best tweets about AI Regulation
50 Best Tweets About AI Regulation (2026)
Browse the best tweets about AI regulation, including laws, policy proposals, compliance, model governance, copyright, safety rules, and industry impact.
Specific AI laws, regulations, policy proposals, compliance duties, enforcement, copyright questions, and practical industry consequences.
- Creators
- 42
- Updated
Original Xholic analysis
What 50 top AI Regulation posts reveal
The discussion centers on turning AI-governance ambitions into specific compliance duties, enforcement arrangements, and sector rules. Posts also contest whether safeguards protect the public or create advantages for incumbents, with EU implementation, US federal-state authority, national security, and practical compliance recurring throughout.
- Dominant tone
- Negative
- Median score
- 7.58
- Leading format
- Opinion
- Recent posts
- 36%
46% of posts
All-time engagement
60% of posts
Published in 90 days
Conversation map
The themes creators return to
Regulatory capture and competition
Debates over regulatory capture, incumbent advantage, lobbying, conflicts of interest, and burdens on startups and open-source developers.
30%
AI legislation and jurisdiction
National AI laws, executive actions, and policy frameworks, including federal-versus-state authority and legislative preemption.
28%
AI enforcement and accountability
Enforcement mechanisms, regulators, penalties, investigations, and the practical limits of self-regulation.
22%
Sector-specific AI rules
Sector-specific rules for healthcare, children, creators, public procurement, adult content, and other applied AI uses.
18%
AI national security and exports
National-security policy governing AI access, exports, foreign ties, and geopolitical competition with China.
14%
EU AI Act compliance
EU AI Act obligations, implementation timelines, codes of practice, transparency rules, and enforcement capacity.
14%
Frontier AI safety governance
Frontier-model safety governance, technical testing, audits, release controls, and AI safety institutes.
8%
Tone and stance
Sentiment Negative leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 27
- Median reposts
- 6
- Median replies
- 4
- Median views
- 3.1K
Posts with media make up 58% of this collection. Their median all-time score is 6.41, compared with 9.84 for text-only posts.
Format mix
- Opinion 60% · score 5.04
- Announcement 36% · score 11.8
- List 4% · score 5.13
Consensus and debate
Where creators agree, and where they do not
Shared view
Compliance is operational, not abstract
Posts describe compliance in practical terms: clinical oversight and disclosure for some healthcare AI uses; a proposed medical-services framework with licensing, malpractice insurance, transparency, and a sandbox; and GDPR considerations including lawful basis, transparency, DPIAs, and human review where personal data is processed.
Shared view
Rules need workable implementation and oversight
EU-focused posts emphasize implementation questions. They point to undefined risk thresholds, supervisory capacity, and the fit between the AI Act and AI agents; another post says the Act’s transparency rules have begun applying and asks whether disclosures will be useful in practice.
Shared view
US governance remains multi-level
Posts describe a multi-level US policy landscape: California procurement safeguards, concern that a federal framework could preempt state laws without substantive replacement, and federal agencies’ use of existing enforcement authorities for AI-related conduct.
Open debate
Safety institutions: protection or entrenchment?
One post characterizes FAA-style frontier-model testing as incumbent entrenchment. Other posts portray the EU framework and government-backed safety institutes as potentially important governance infrastructure, while also warning that EU enforcement is not automatic.
Open debate
Whether regulation constrains innovation
Critics characterize regulation as slowing AI, raising entry barriers, and protecting incumbents. Other posts advocate targeted healthcare obligations or guardrails paired with accountability and room for builders and innovators.
Open debate
Federal framework versus state authority
Posts differ over federal and state roles: one warns that a federal framework can displace state laws without replacement, one reports California’s procurement safeguards, and another discusses getting a White House national framework legislated.
What performs
Patterns behind standout posts
Outliers center on high-stakes policy claims
The supplied benchmarks identify these five posts as all-time-score outliers. Their posts concern Australian AI proposals, criticism of an AI-compliance startup, a former White House official’s account of AI-policy work, a proposed data-center ban, and debate over AI policymaking conflicts and exports.
Announcements have the higher supplied median score
Announcements have a supplied median all-time score of 11.75, versus 5.04 for opinion posts. The cited announcement examples cover Australian proposals, scrutiny of a compliance startup, and a former official’s description of US AI-policy activity.
Text posts lead the supplied median score
Media-bearing posts account for 29 of 50 items, but their supplied median all-time score is 6.411, below the 9.836 supplied for text posts. The two list-format examples address OnlyFans AI-content practices and an overview of EU AI Act obligations.
Statistical standouts
- View standout post 1 Score 1579.3 · 208.35× median
- View standout post 2 Score 444.3 · 58.61× median
- View standout post 3 Score 335.1 · 44.2× median
- View standout post 4 Score 299.0 · 39.44× median
- View standout post 5 Score 194.2 · 25.61× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Boring_Business
@BoringBiz_
2 posts
-
2. Charbel-Raphael
@CRSegerie
2 posts
-
3. Glen Gilmore
@GlenGilmore
2 posts
-
4. Daniel Lemire
@lemire
2 posts
-
5. Luiza Jarovsky, PhD
@LuizaJarovsky
2 posts
-
6. Mark Kretschmann
@mark_k
2 posts
National security and international governance
Luiza Jarovsky characterizes national-security risks as a major force in global AI policy. In a separate post, she reports Germany’s announced government-backed AI Safety Institute and highlights its stated aims of international information exchange and work toward standards.
Competition critique alongside procurement safeguards
Mark Kretschmann posts both a critique that regulation can raise barriers to entry and a report on California’s state-contract safeguards, spanning competition concerns and procurement controls.
Enforcement capacity and child-safety trade-offs
Charbel-Raphael raises EU AI Act enforcement-capacity concerns and, separately, frames child-safety policy as a trade-off that should account for potential migration to unregulated models as well as protections on mainstream platforms.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best AI Regulation tweets
Top AI Regulation tweets from 42 creators
Ranked 01–50
- 01
@CultureCrave ·
Australia is planning some of the world's toughest AI regulations • Water usage will be limited • AI data centers will be required to become net producers of energy • AI companies can't train on Australian creators' work without their permission • Proposals expected to https://t.co/zwHJQXyx5v
- 02
- 03
@sriramk ·
🇺🇸🚀 SOME NEWS: I'll be leaving my role at the White House at the end of this month. After a break I’ll be working on helping tackle some of the large challenges facing America on AI (more on that later). It is hard to express how big a privilege it has been to serve the American people and how grateful I am to have had the opportunity to do so. First and foremost, it has been an honor to serve under President @realDonaldTrump . Without his leadership, we would not be leading in the AI race. Second, I owe a lot to the person I’ve worked mostly closely with over the last 18 months - @DavidSacks . His continuing advocacy for America winning on AI has been and continues to be crucial. Some key public accomplishments from last year I’m proud of 1. Architecting and publishing the American AI Action Plan - charting the course for America to win on AI and helping execute on that for the last year. 2. The AI acceleration partnerships to help American AI stack win globally. 3. The National AI Policy Framework for Artificial Intelligence executive order (forming the basis for working with the Hill this year) 4. Advocating for the American AI stack with our allies globally (the AI summits in France and India, state visits to the UK, the Middle East and more) So what’s next? The past 18 months have given me a front row seat to this critical moment on AI facing America and our allies. Whether it is energy, data centers or a clear path for Americans to experience the benefits of AI, there are many tough issues we all need to navigate together. I plan on building institutions that help tackle some of those challenges for America and its allies. I want to thank many others who have helped along the way in the administration : Kevin Hassett, @mkratsios47 , CoS @SusieWiles47 , VP @JDVance , @StevenCheung47 , Sec Bessent, Sec Lutnick, Sec Rubio and @jacobhelberg , @USWREMichael , Josh Gruenbaum, Watson Fagan, Ryan Baasch, Jeff Kessler, Alexei Bulazel, DepSec Landau, DepSec Dabar, Will Scharf, Taylor Budowich, @JamesBlairUSA , @elonmusk and many, many others. You know who you are and I know I’ll continue to see you a lot more. Most of all, I want to thank @aarthir on supporting everything and being part of this unexpected but amazing journey from last January. None of this would be possible without her. This journey has been the privilege of a lifetime and shown me how special this country is and how it needs all of us to contribute in anyway we can - and I plan on continuing to do just that. 🇺🇸
- 04
- 05
@GavinSBaker ·
Deeply strange @nytimes article about @DavidSacks Leading in AI is good for America. And there is no way for America to lead in AI without American investors in AI doing well. Irrespective of whether those investors are David’s friends or his enemies. And like everyone who has been in Silicon Valley for a long time, David has enemies in Silicon Valley who are also doing well by investing in AI. The most disappointing part of the article is that there an interesting debate to be had about the wisdom of selling deprecated GPUs to China that are 18 months ahead of Chinese domestic alternatives and roughly 15 months behind our state of the art. As someone who is an active investor in national defense and super patriotic, I think this is a good idea but reasonable minds can disagree and zero attempt was made to engage with the relevant issues. From a conflict of interest perspective, I think they are being appropriately managed and this has been to David’s economic detriment. His defamation attorneys letter to the NYTimes makes it clear that an exhaustive, good faith effort was made to divest from all potential conflicts. But it is quasi-impossible for David to fully divest from *every* company he and/or Craft has invested in that might *conceivably* benefit from good AI policy making. At the limit, theoretically every company in America and the American government itself (i.e. government bonds) benefit from good AI policy making. I would guess that most of David’s assets are in private companies - if he were to leave the private sector entirely and put his assets into a blind trust he would still know what he owns as they are not liquid. Even if he were to do some dog and pony show of full divestment and a blind trust, does any reasonable person think he would not be able to walk back into Craft with his current economics intact? And everyone who is even remotely qualified to shape AI policy has the same theoretical conflicts of interest. I am 100% ok with talented citizens being able to have a dual role in the government and the private sector. That is actually the entire point of the SGE program. I think there is an argument to be made that it promotes and incentivizes ethical behavior. The downside of malfeasance for David is enormous and there is minimal upside relative to what he already has. Separately, the @nytimes urgently needs to provide remedial math education for these journalists and their editors. The idea that 500,000 GPUs sold to the UAE could generate anywhere near $200 billion in revenue to Nvidia is ridiculous. I look forward to the correction that will be assiduously posted to the @NYTimesPR account which has 90k followers vs. the main account with 52.8m followers. I should note that while I do not know David well, we have many good friends in common and I like him personally. More importantly, I am grateful for his service, which has unquestionably cost him a vast amount of money. And my superstar sister-in-law is a partner at Craft, for which David is lucky.
- 06
@AndrewCurran_ ·
OpenAI has written a new policy proposal 'Industrial Policy for the Intelligence Age: Ideas to Keep People First.' They propose the creation of a Public Wealth Fund that will provide American citizens with an automatic public stake in AI companies and AI infrastructure even if they are not invested in the market. Returns from the fund would be distributed directly to citizens.
- 07
- 08
- 09
- 10
@BoringBiz_ ·
Dario: “we should model AI regulation on agencies like the FAA. Frontier AI models, like airplanes, should be required to go through technical testing and auditing, and their release should be blocked or reversed as a threat to public safety” In other words, entrench Anthropic as the incumbent and don’t allow any new competitors to enter the space I have never liked a product but hated the management team and ethos of a company this much before
- 11
@LuizaJarovsky ·
🚨 BREAKING: After the UK and France, Germany became the third European country to announce a government-backed AI Safety Institute. Will global AI governance FINALLY take off? On Monday, Germany's National Security Council announced that, after assessing the cybersecurity implications of advanced AI models, it has decided to establish this new national institute. One of the stated goals of the institute is to intensify the exchange of information with similar institutes worldwide and to work towards global standards in AI. That's an interesting development, and I'm curious to see if other European countries will follow suit. Outside Europe, the United States, Canada, Japan, Singapore, and South Korea are examples of countries that have similar institutes. I've written before about the challenge of establishing global AI governance mechanisms, especially due to growing AI nationalism and the way countries have been tying their political, economic, and military plans to AI development. Government-backed AI safety institutes can help improve global AI governance through AI safety standards, research collaboration, and ongoing dialogue (at least on critical safety topics!). I'll keep you posted. - 👉 To stay informed of my AI policy articles, podcast episodes, and masterclasses, I invite you to join my newsletter's 96,500+ subscribers (link below).
- 12
@businessXplain ·
SA GOVERNMENT TO REGULATE Ai Cabinet has approved the draft national Ai policy for public comment, marking a step towards formal regulation of artificial intelligence in South Africa. The policy aims to balance the benefits and risks of Ai while promoting inclusive growth, job creation and wider access to skills. It focuses on six pillars, including governance, ethical use, talent development and human-centred deployment. Government intends to strengthen its ability to adopt and regulate Ai responsibly while supporting innovation. A phased approach will be followed, recognising that Ai risks and applications differ across sectors and require tailored oversight as adoption expands. Full story - https://t.co/4u91x5fr7I Pictured - Minister in The Presidency, Khumbudzo Ntshavheni
- 13
@HedgieMarkets ·
🦔Democratic candidates running in November's midterms have been advised by top party consultants not to antagonize pro-AI campaign groups that have amassed nearly $300 million to fight for industry priorities. Internal Democratic polling shows widespread public support for tougher AI regulation, but few candidates are acting on it. Leading the Future, a Super PAC backed by Andreessen Horowitz and OpenAI co-founder Greg Brockman, has raised $125 million and is already targeting candidates perceived as critical of the industry. The strategy mirrors the crypto industry's 2024 playbook, when a $130 million Super PAC helped defeat longtime crypto critic Sherrod Brown in Ohio. My Take I'm not someone who typically sides with heavy regulation, but what's happening here has nothing to do with good policy. Democratic candidates know their own voters want tougher AI regulation and are being advised to ignore that because the money on the other side is too large. Buying political silence at scale is corporate capture of the democratic process and I'd say that regardless of which party or industry is doing it. OpenAI is simultaneously publishing social contract blueprints about protecting workers from AI disruption and funding PACs to punish politicians who try to regulate it. Whatever framework eventually emerges from Congress will be shaped by people who were told early that opposing this industry has consequences. As someone who believes markets work best with honest rules applied consistently, $300 million deployed specifically to prevent those rules from being written is hard to defend. Hedgie🤗
- 14
@mattpavelle ·
There's an excellent framework for healthcare AI legislation being developed by @AdamMeier20 and the Cicero Institute. They wrote a model bill that gets the fundamentals right: regulate the practice of medicine, not the code. Their AI Medical Services Act creates a new licensed provider type, requires malpractice insurance, mandates transparency, and more. I like this because the safety decisions related to AI in medicine should be made based on open and accurate data. Interestingly, it builds in a regulatory sandbox with a shot clock: 30 days for completeness, 90 days for a decision, etc. I'm glad to see serious people building things like this. https://t.co/sROwdqn7AT
- 15
@realBigBrainAI ·
Ohalo Genetics CEO and co-founder David Friedberg on why trying to stop AI will backfire on America: Friedberg opens with a warning about the political environment around AI regulation: "A lot of folks are feeling the pressure from Anthropic doing this and they're feeling the pressure from politicians repeating the scary words that are being said by Dario and others." His argument is direct: regulatory pressure driven by fear is simply redirecting who benefits from it. "As a result, they are going to try and they are already trying to force either natural enforcement or politicized enforcement upon the model providers in a way that is ultimately going to benefit Chinese open source model providers." @friedberg frames this as an economic and strategic threat, not just a policy disagreement: "That is a scary thing because we are going to damage our own kind of economic viability." His core point cuts through the noise around AI doomsday rhetoric: "You can't just stop AI." He argues that political and social pressure to restrict AI doesn't make the technology disappear. It simply shifts the advantage elsewhere. "By stopping AI or trying to stop AI through this political action and social behavior, you are fundamentally going to give someone else the advantage because the AI isn't going to go away." Friedberg closes with his central thesis, that restriction doesn't neutralise AI, it just changes who controls it: "What you will do is you will force the hand of someone else to now have an unfair advantage because you're unfairly restricting models and your access to those models."
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- 16
- 17
@CRSegerie ·
The EU AI Act and its Code of Practice are small miracles. They also won't be enforced by default. The AI Act is the most ambitious binding AI regulation anywhere in the world. Every major American lab has signed the Code of Practice except Meta (even xAI signed the Safety & Security chapter). If fully enforced, the CoP would meaningfully reduce catastrophic risks. Nothing else comes close: California's SB53 amounts to little more than asking companies to publish and follow their own safety frameworks. And the EU AI Office has a very good technical understanding of AI risks. It is the closest thing we have today to the international AI regulator we will ultimately need. The big problem is, obviously, that the Act won't be strongly enforced by default for three reasons. 1/ The requirements are not operationalized yet. Risk thresholds remain undefined. Many obligations read "providers shall conduct state-of-the-art risk modeling", and until that is pinned to concrete metrics, non-compliance is largely a judgment call, one the AI Office might hesitate to make against now trillion-dollar companies. 2/ The AI Office is smart, but the work that needs to be done is huge. Its mandate covers GPAI oversight, the Code of Practice, the Network of Evaluators, and coordination with 27 national authorities, with a team a fraction of the size of any single company it oversees. 3/ Sanctioning American companies takes political courage, and this has been pretty rare so far. Look at the DSA: 14 formal proceedings since 2023, one fine (€120M against X, already under appeal), and Macron warning that the EU risks losing credibility over the pace. Add the ongoing trade negotiations with the Trump administration, and the bar gets even higher. We participated in an open letter warning of the risks of a lack of enforcement of the Code of Practice, which has been sent to the leadership of the EU Commission. August is going to be interesting.
- 18
- 19
@sethlazar ·
Vital reading, and a lesson on why rushing regulation into statute is a bad idea right now: "Regulating AI Agents" by Katrin Gardhouse, Amin Oueslati, and Noam Kolt Abstract: AI agents—systems that can independently take actions to pursue complex goals with only limited human oversight—have entered the mainstream. These systems are now being widely used to produce software, conduct business activities, and automate everyday personal tasks. While AI agents implicate many areas of law, ranging from agency law and contracts to tort liability and labor law, they present particularly pressing questions for the most globally consequential AI regulation: the European Union’s AI Act. Promulgated prior to the development and widespread use of AI agents, the EU AI Act faces significant obstacles in confronting the governance challenges arising from this transformative technology, such as performance failures in autonomous task execution, the risk of misuse of agents by malicious actors, and unequal access to the economic opportunities afforded by AI agents. We systematically analyze the EU AI Act’s response to these challenges, focusing on both the substantive provisions of the regulation and, crucially, the institutional frameworks that aim to support its implementation. Our analysis of the Act’s allocation of monitoring and enforcement responsibilities, reliance on industry self-regulation, and level of government resourcing illustrates how a regulatory framework designed for conventional AI systems can be ill-suited to AI agents. Taken together, our findings suggest that policymakers in the EU and beyond will need to change course, and soon, if they are to effectively govern the next generation of AI technology. https://t.co/LWBFjS0xjS Ps thanks twitter & SSRN for not unfurling the link you both suck
- 20
- 21
@mark_k ·
California pushes back on federal hands-off AI policy. Governor Gavin Newsom signed an executive order requiring any company seeking state contracts to implement safeguards against AI misuse, illegal content, harmful bias, and civil-rights violations. It explicitly aims to preserve California’s stricter AI laws despite Trump administration warnings against state-level regulation.
- 22
@sexworkceo ·
5 things to do this week after the new OnlyFans AI rules: 1. Audit posts for unlabeled AI content 2. Check your verification status 3. Add AI disclosure to your captions if using AI-generated media 4. Learn your Take It Down Act rights to protect your own image/likeness 5. Separate AI business tools from AI content generation tools
- 23
@BoringBiz_ ·
David Sacks, former AI czar, on the regulatory capture happening right now in Washington around artificial intelligence "You look at the rhetoric around how models need to have guardrails, and with open source models these guardrails can be removed, so they can be dangerous. You see this rhetoric already in Anthropic's blog posts"
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- 24
@lemire ·
We need to take the 'AI security research' slop seriously. 1. Stop it already with the 'vulnerability reports.' If you claim to have found a bug, then call it that. No more pretentious language. 2. If you are using AI to find a 'vulnerability' (i.e., a bug) in a library that I maintain, good for you. I encourage you to do it. However, if I have an AI policy stating that you are responsible for the content, then you are expected to understand what is going on. That means you must act as a human-level expert. Yes, it takes time. You need to study the documentation like a human being. Read and understand the code. Tough. That's how it is. Let me be clear: some people are trying to extract free labor from me by having their AI send me messages. This is not acceptable. I promise you, this sort of behaviour will destroy your reputation. Nobody likes AI slavers.
- 25
@VanberghenEU ·
Today in Brussels: EU Council Moves to Simplify AI Regulation The initiative forms part of the “Omnibus VII” legislative package, designed to reduce regulatory complexity and improve the implementation of the Artificial Intelligence Act across the Union. The package includes two proposed regulations intended to simplify the EU’s digital legislative framework and ensure more coherent and practical application of harmonised AI rules throughout the EU. Main amendments introduced by the Council The Presidency treated the proposal as a priority, and member states broadly supported the direction of the initial proposal from the European Commission, recognising the urgency of ensuring a smoother implementation of the Artificial Intelligence Act. However, the Council’s mandate introduces several important adjustments. First, it adds a new prohibition targeting AI systems used to generate non-consensual sexual or intimate content, as well as child sexual abuse material. The Council also establishes a clear timeline for the postponed application of rules governing high-risk AI systems. Under the new schedule, rules will apply from 2 December 2027 for standalone high-risk AI systems and from 2 August 2028 for high-risk AI systems embedded in products. In addition, providers will again be required to register AI systems in the EU database for high-risk systems, even when they consider their systems exempt from high-risk classification. The Council also restores the strict necessity standard for processing special categories of personal data when used for bias detection and mitigation. The mandate further extends the deadline for establishing national AI regulatory sandboxes to 2 December 2027. It also clarifies the supervisory responsibilities of the AI Office, particularly regarding AI systems built on general-purpose AI models developed by the same provider. Certain areas -such as law enforcement, border management, judicial authorities and financial institutions - remain under national supervisory competence. Finally, the Council calls on the Commission to issue practical guidance to help companies operating high-risk AI systems comply with the AI Act in a way that reduces administrative and compliance burdens, especially where sector-specific EU legislation already applies. Following the Council’s agreement on its negotiating mandate, the Presidency will now begin interinstitutional negotiations with the European Parliament to reach a final agreement on the proposal.
- 26
@Hesamation ·
“AI IS THE ONLY INDUSTRY THAT IS LESS REGULATED THAN A SANDWICH SHOP.” - MIT professor US government has two choices: > pull the EU card, regulate, be “safe” > minimum regulations, lead the AI race the Fable 5 ban was already a big move that might not be the only one we see in the future. but Open Source AI and small labs take the bigger hit from regulations while OpenAI and Anthropic, with huge capital, lawyers, and lobbyists, who active push for more regulations, are the ones who benefit from less competition.
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- 27
@PeterHndrsn ·
Since our piece was cited as agreeing with this post, I want to make it clear. I do not agree, and it's not what we wrote. Just because AI outputs are entitled to First Amendment protections does not mean "almost all regulation of AI is ipso facto illegal." Thoughts👇 Yes, it makes some types of regulation harder. I think that's a good thing! The First Amendment should prevent regulation that forces a particular viewpoint on AI outputs. There's too quick a path from no 1A scrutiny of AI to authoritarianism. Yes, there is lots of poorly crafted legislation that doesn't consider 1A principles and gets struck down. But you *can* draft regulation that addresses AI harms while passing 1A scrutiny. Traditional exceptions (e.g., speech integral to criminal conduct) apply just the same. We also have tiers of scrutiny! Commercial speech gets intermediate (not strict) scrutiny under Central Hudson. And regulating the use of AI can be drafted to appropriately navigate these tiers (attaching a handy chart that might be useful from Congress). I encourage folks to read our piece for more on the contours of this question. When I have more time I'll write up something more detailed on my current thinking.
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@JoshuaTLevine ·
Ensuring the federal government can procure AI systems quickly and effectively is a crucial component of AI policy, but has flown under the radar, save one notable example. Today, my colleagues and I @JoinFAI filed a comment in response to GSAR 552.239-7001, the GSA’s proposal for rewriting the contract terms for how every agency buys AI through the government's largest commercial marketplace (the Multiple Award Schedule).
- 30
@tonysimons_ ·
Today is a pretty damn important day for AI. The EU AI Act’s transparency rules officially begin applying. That means new disclosure requirements for: - AI systems interacting with people - Deepfakes - Certain AI-generated public-interest content - Machine-readable detection of generated media The real question now: Will platforms make disclosure useful, or bury it behind another meaningless little badge? https://t.co/FSpwavXEFf
- 31
@lemire ·
Ideas have consequences. Not all bad ideas end up with mass murders… thankfully… but ideas have consequences nonetheless. Currently, you can just go to your favourite AI (Grok, Gemini, Claude, ChatGPT) and ask anything. In some cases, the vendors themselves censor the AI. Gemini might refuse to answer a political question, for example. Importantly, the AI that helps you code won’t stop you from designing a website that criticizes the immigration policy of your current government. The AI won’t stop you from double-checking the diagnosis your medical doctor gave you. But this could easily change. We have had far-reaching regulations in Europe and elsewhere… and more could easily come. “But what is wrong, Daniel, with ensuring that AI is safe?” The problem is regulatory capture. Imagine that I am a financial advisor sick of seeing my clients double-check my recommendations with ChatGPT. I can simply go to a politician and propose that ChatGPT be held accountable if its financial advice ends up wrong. You just allow citizens to sue OpenAI for bad advice. You are IBM and want to protect your consulting business. You make sure that if someone uses Anthropic’s AI Claude to write COBOL and there is a bug, then Anthropic can be sued. You are a pharmaceutical company that does not like it when an AI recommends against a particular medication due to its side effects? Make sure AI providers can be sued for medical malpractice. You are a politician who does not like what the AI tells your citizens about you? Make sure AI vendors must get a licence from the state to offer their services—and as a condition for maintaining their licence, they must pass stringent compliance tests every few months. Every single one of these steps can then lead to a spiral of regulations that might halt further innovation. What protects us from such a fate? Maybe not as much as we’d like. If you think that your AI coding agents can't possibly be forced to monitor your work in the future... think again. Thus it is important to fight in the realm of ideas and culture right now.
- 32
@tbpn ·
"Federal preemption is good when you are pro-regulatory capture." Asked about the discussion over AI regulation, @travisk says companies push for broad federal regulation when it helps squeeze out competitors. "When you want to squeeze others out, you should get federal regulatory bigness going for you." "We never did that at Uber. We basically never ever proposed or pushed any rule that would be beneficial to us versus somebody else. We always were trying to open up the market and we said, 'Let the best man win' and we just went for it." "I think we've got to be careful of some of these closed-weight things that are creating situations where they need to be regulated."
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- 33
@MattPerault ·
Protect kids when they use AI. Let kids use AI. Too many proposals treat these as competing goals. We lay out a framework that embraces both. Don't ban minors from AI. Learning these tools is becoming as essential as learning to use a computer. But require platforms to offer parental controls, prohibit misrepresentations about AI tools, and publish protocols for handling crisis situations. And enforce the law when AI is used to harm kids. New on the a16z AI Policy Brief today.
- 34
@stocksnipa ·
AOC & Bernie Sanders are introducing a ban on AI data centers & hyperscale data centers🤕 This ban would take effect and remain until Congress is able to pass new AI legislation This wouldn’t affect existing & running centers, this targets construction of new data centers.
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@MattPerault ·
Building an AI startup is hard. Small teams must compete with well-resourced incumbents, fighting for access to talent, data, and compute. But in California, there’s another barrier that increasingly makes it hard for startups to compete: a dense and fast-growing web of regulations. What does a small team of founders need to do to comply with California’s AI regulations? We mapped the compliance obligations AI startups face in California in the wake of new laws passed in California in the last few years. A startup’s success shouldn’t be determined by its legal budget. If startups need to write big checks to lawyers just to get an AI product into the market, we’ll end up with fewer challengers, worse products, and a less dynamic AI ecosystem. Greetings from the Garage: https://t.co/0rK7P3aykd
- 37
@sagar_batchu ·
There's plenty written about what to govern in AI systems and almost nothing about how to actually enforce it on live traffic. We wrote up how we do it. The most important place to enforce a policy is the tool call, because that's where an agent's intent turns into a real action. A cheap string match handles most calls, an entity detector takes what it can't, and an LLM judge steps in only for what neither can settle. The cheaper checks are also the faster and more deterministic ones, which keeps latency and false alarms low enough that teams actually leave the controls on. That's the only way a control matters. More on enforcing AI policy here: https://t.co/SWZLPhAQhV
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@jonathanstray ·
OpenAI released an "industrial policy" whitepaper today which proposes, among other things, public ownership in AI to distribute dividends (i.e. UBI) and four day work weeks. Here's what I think of this, both as policy and politics. https://t.co/bUHmkt0JY8 As policy, it seems largely reasonable. If AI is supposed to create massive widespread benefits, those benefits have to cash out as either time or money for ordinary people, and this policy offers specific ideas for how to do that. For example, public ownership of shares in AI companies, the dividends of which "could be distributed directly to citizens." Also, "convert reclaimed hours into a permanent shorter week." It reiterates a lot of previous thinking on these topics, which is a good sign (though citations would have been nice, e.g. to Anthropic's similar Nov 2025 proposals. https://t.co/2BfWKfiBmU) As politics, well, it's just words so far. And OpenAI's track record is not unblemished. The whitepaper argues "not to entrench incumbents through regulatory capture." However, OpenAI has already tried to do exactly this, by spending $10M on a ballot measure which would make their current age verification plan law and indemnify them against further liability. Oh, and also secretly backing a nonprofit to do political organizing. (https://t.co/ge8UQAJKPP). I will be watching very closely what OpenAI does when actual policy comes up for debate. If they wanted to be proactive, they could propose model legislation that they would support -- rather than, inevitably, resisting the legislation that actually emerges around these ideas.
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@DJTRadar ·
Trump Jr. is promoting a Hong Kong AI company. Weeks later, his father signed an executive order tightening security around American AI. I dug into this one and the details are worth your time. The company is WorldClaw Limited. Incorporated in Hong Kong, governing law explicitly Hong Kong SAR per their own terms. This is a real product, real infrastructure. Their flagship is WorldRouter. One API, access to 300+ AI models from OpenAI, Anthropic, Google, and Meta. They claim around 30% cheaper inference than going direct on many models and publish the comparisons. Payments run through USD1. The Trump family stablecoin from World Liberty Financial. On May 5, Trump Jr. posted about the launch himself. He tagged WLFI. High-tier users who buy plans or lock tokens can enter a raffle for a private event with him at Mar-a-Lago. The WLFI connection matters. It is the Trump family crypto project. Trump entities hold significant ownership and revenue share. Don Jr. and Eric are actively involved. Zach Witkoff, son of Steve Witkoff, is a co-founder on the WLFI side. WorldClaw itself is a separate Hong Kong company and disclaims being controlled by WLFI. But the promotional relationship is right there in the open. Now the timing. The launch was May 5. On June 2, President Trump signed an executive order introducing federal review of frontier AI models for national security risks. Export control actions on certain advanced models followed in the same window. So while the US government is locking down American AI, the family orbit is promoting a Hong Kong company that lowers the barrier to accessing hundreds of models at scale. Paid for in the family stablecoin. I am not claiming a conspiracy. The company appears legitimate and the service is real. But the incentives deserve scrutiny. The White House sets AI policy. The family monetizes AI access. Those two things are not moving in the same direction. We will keep watching this one.
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@RealAmVoice ·
AI POLICY BATTLE: ACCOUNTABILITY FOR BIG TECH @twestes from Alliance for a Better Future says it’s stepping into the public fight on AI policy. Backed by multiple pro-family groups, they argue AI rules should prioritize human dignity, kids, families, and jobs—without “amnesty” for Big Tech. They support a market-based approach but warn that current proposals are overly influenced by tech lobbyists and lack accountability for some of the world’s most powerful companies. @Bannons_WarRoom @BetterFuture_AI
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@CRSegerie ·
I agree with @deanwball that getting AI child-safety laws right is quite challenging AI law could backfire, yes But my biggest criticism of this is that there are no numbers or a prediction of the amount of illegal usage If 5% of kids would migrate to unregulated Chinese open-weight models while 95% benefit from guardrails on mainstream platforms, the law is overwhelmingly worth passing
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@MTorygreen ·
Sam Altman is the last person who should be writing AI regulation and he knows it. Sam called for a "new social contract" between AI companies and society, while his company ships gpt-5.4, o3, and operator-class agents at a pace no legislature on earth can track. aws can't decentralize without cannibalizing its own margins, and every "self-regulatory framework" in tech history has ended with the same few entities writing the rules they agreed to follow if you're running your model on aws or azure, you're ONE policy memo away from a TOS change that reprices, restricts, or kills your workload the only architecture that doesn't have that failure mode is permissionless. no single entity decides what can run or which agents get access when trillions of them need compute across billions of devices a feature announcement wrapped in a warning Sam's writing the social contract for a stack he owns builders who don't want to live under it have exactly one option
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@GlenGilmore ·
AI Governance Lessons Businesses Can't Ignore In 2026 “EU member states designated enforcement authorities in August 2025, with the penalty regime now in effect—fines reaching €35 million or 7% of global revenue for the most serious violations. In the U.S., states are building their own patchwork of requirements—260 AI-related measures were introduced across 47 states in 2025, with 22 already passed into law.” https://t.co/sxhNG8dVTT
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@GlenGilmore ·
AI Enforcement Accelerates as Federal Policy Stalls and States Step In Federal agencies are relying on existing authorities to regulate AI-related conduct: FTC: Section 5 of the FTC Act remains a primary enforcement vehicle for allegedly unfair or deceptive AI practices SEC: focused on so-called “AI washing” misrepresenting the use or performance of AI in disclosures to investors False Claims Act: DOJ has signaled willingness to pursue FCA theories where AI tools are used in government-funded programs, including healthcare reimbursement and cybersecurity compliance contexts. Antitrust Enforcers: DOJ and FTC https://t.co/stZVb48cD2 #AIGovernance
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@JoachimSchork ·
Until recently, AI had little regulation. The EU AI Act is one of the first serious attempts to build a full legal framework for safe and transparent AI. But it also introduces obligations that everyone working with data and AI needs to know. Here’s a quick overview: 🔹 https://t.co/yuSN8kDgoZ
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@1DavidClarke ·
Everyone is talking about AI governance. But here's the uncomfortable truth. In most organisations, AI is already a GDPR issue. Why? Because the majority of AI systems process personal data — whether in the input, the processing, or the output. The model may analyse behaviour. The output may profile, score, rank, or influence decisions about people. Not every AI system triggers GDPR. But far more do than most organisations realise. Look at what organisations are already deploying: • customer service copilots • recruitment screening tools • fraud detection systems • marketing recommendation engines • credit and risk scoring models All of these involve profiling or analysing identifiable individuals. Under GDPR, that is personal data processing. So before we get lost in complex AI frameworks, the first question should always be simple: Does this AI system process or affect personal data? If the answer is yes, the organisation must address the core GDPR obligations. In practice, the key areas to focus on are: Lawful basis — Why is personal data being used in the AI system? Purpose limitation — Is existing data being reused for AI training or analytics beyond the original purpose? Data minimisation — How much personal data is actually going in, and is all of it necessary? Transparency — Do individuals know AI is involved in the decision or interaction? Profiling and automated decisions (Article 22) — Is the AI making or influencing decisions about people? DPIAs — High-risk AI systems should trigger data protection impact assessments. Accuracy and fairness — Incorrect AI outputs about individuals can create GDPR risk. Human oversight — Can a human review or override AI outcomes? These aren't theoretical. They're live compliance obligations. Yes, broader AI governance matters. But for most organisations, the biggest immediate exposure sits somewhere much more familiar. Their AI is simply another form of personal data processing. Start with GDPR. Then build AI governance on top of it. What's the biggest GDPR blind spot you've encountered (or recently fixed) in your organisation's AI projects?
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@TheSixFiveMedia ·
Should AI be regulated like a utility? @DanielNewmanUV and @PatrickMoorhead debate it this week on The Flip. One side: AI is becoming infrastructure, with real power and access constraints The other: regulation kills innovation and risks handing leadership to China “Utilities are designed for stable tech. AI is doubling every 12 months.” So what happens if we treat it like one?
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