dawn/LICENSE.md at main · Shopify/dawn

Shopify's first source available reference theme, with Online Store 2.0 features and performance built-in. - Shopify/dawn

github.com

Shopify settles copyright lawsuit against rival platform | LinkedIn

Shopify alleged that rival e-commerce platform Shopline duplicated its Dawn storefront technology and rebranded it as Seed.

linkedin.com

Nvidia and 24 other companies sign open-weights letter as Washington weighs Chinese AI model ban — OpenAI, Anthropic, and Google absent from the list

Signatories include chipmakers, server vendors, cloud operators, enterprise software firms, security companies, and venture funds

tomshardware.com

Original post on fosstodon.org

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mstdn.social

AI-generated search summaries and personality rights: Munich court grants preliminary injunction against Google

The IPKat blog reports on copyright, patent, trade mark, info-tech and confidentiality issues from a mainly UK and European perspective.

ipkitten.blogspot.com

Bill Text - SB-942 California AI Transparency Act.

SB 942 California AI Transparency Act.

leginfo.legislature.ca.gov

github.blog

github.blog

Polymarket uses typo domain to trick consumers - Domain Name Wire | Domain Name News

Betting platform created fake site to help influencers fake wins on its real site. The Wall Street Journal published a report this weekend about how the betting platform Polymarket hired influencers to fabricate wins on its platform. The story kicks off with this antedote: In his videos, George Makihara appears to have a lucrative side […]

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Dorothea Lange (@DorotheaLange@mastodon.ozioso.online)

Attached: 1 image · Content warning: This content might contain sensitive material that may be distressing or triggering to some readers.

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When Can Amazon Block an Agentic AI Service?–Amazon v. Perplexity (Guest Blog Post)

by guest blogger Kieran McCarthy On March 9, 2026, Judge Chesney granted a preliminary injunction in the case of _Amazon v. Perplexity_, concluding Amazon was likely to succeed on its CFAA and California Penal Code section 502 theories. If you’re familiar with the CFAA, the outcome of the preliminary injunction opinion was what you might expect. But it is underwhelming in some new and interesting ways. It is, in my opinion, a shockingly poor effort to grapple with CFAA applicability to agentic AI technology after _Van Buren_. If you’re unfamiliar, agentic AI is simply the name for AI that actually does work for you instead of answering questions. An agent can take a loose goal, break it into steps, use tools, gather information, make decisions, and come back with the task done. That makes it useful for the work people hate but still need judgment to finish, such as research, product comparisons, customer support, and multi-step coordination. One valuable use case for agentic AI is shopping. Not only can Agentic AI tell you what the highest rated toaster on Amazon is for under $100, it can actually buy it for you. You can tell agentic AI: _Buy a toaster on Amazon for under $100. Prioritize name brands, Amazon Prime shipping, and wide slots for bagels. Do not buy based solely on Amazon rating. Consider only models with at least 1,000 reviews, a rating of 4.7 or higher, and no obvious fake-review pattern. Cross-check at least two independent review sources or testing sites for confirmation that the quality is among the best at this price point. Choose a 2-slice toaster unless a 4-slice model is clearly better._ _If one option is clearly superior under these criteria, add it to my cart and proceed to purchase. If not, add the best by these measures and I will review and purchase._ The thing about instructions like these is that they totally kill many of the ways online e-commerce sites make money. Amazon doesn’t just make money from selling you stuff and sending it to you. They also make money from product placement, ads, upselling, and a million other ways of nudging you into buying more stuff. Amazon wants their search bar to be the way that you buy things online. But if the interface for your shopping becomes the AI labs’ platforms, that’s a big deal for e-commerce sites. It’s an existential threat to some e-commerce platforms and a major margins headwind for giants like Amazon and Walmart. Those are the stakes. * * * The injunction in this case arose from Amazon’s challenge to Perplexity’s Comet browser and shopping agent. Perplexity built a tool that allows software to shop for users on Amazon through their logged-in accounts. Amazon sent a cease-and-desist letter. But Comet didn’t stop. Created by ChatGPT Dec. 2025 The court focused on a familiar question for CFAA folks, which is that Amazon allegedly revoked authorization, Perplexity’s agents continued accessing Amazon’s systems through user accounts, and therefore Amazon was likely to succeed under theories derived from CFAA and California computer-access law. From a pure CFAA perspective, the allegations were straightforward. Monopolist platform discovers a kind of automation that people who use the Internet enjoy, labels it “unauthorized,” cites to _Power Ventures_ , points to investigative costs, and gets its injunction. It has happened before and it will happen again. But the genuinely novel issue was totally ignored in the opinion. Perplexity’s Comet is an AI agent. And agentic AI is not merely collecting data. It is acting as the user’s delegated representative in an ongoing workflow. The opinion makes zero effort to analyze: * whether an AI agent should be treated like a browser, * whether it should be treated like a human assistant using delegated credentials, * whether agency-law concepts matter, * whether user autonomy creates an independent authorization interest distinct from _Power Ventures_ , * whether there is a meaningful distinction between scraping data and performing user-directed actions. Instead, the court seems to jump directly to the conclusion that Amazon retains ultimate authority to exclude the intermediary. (In partial defense of the court, they hint that they may have discussed this at oral arguments. But there’s no analysis of agentic AI in the opinion itself). From an agentic-AI perspective, it’s straightforward to ask: **If I can personally log into Amazon and buy a toaster, why can’t I save time and have software do it for me?** **Because _Power Ventures_ is dumb and Amazon says so, that’s why. ** The _Power Ventures_ framing has always allowed platforms to control their platforms, even when the user wants a certain tool to interact with them, if the integration includes a logged-in component. If there is a password at any part of the flow, most courts find that the CFAA can be used to crush any unwanted integration, no matter how benign or socially useful it is. Log-in plus cease-and-desist has almost always been a CFAA violation. That’s why _Power Ventures_ matters so much. If _Power Ventures_ controls, Amazon gets to frame Comet as just another unwanted logged-in integration. If it doesn’t, the case becomes about whether users can delegate ordinary account activity to software. That is also what makes this such an interesting test case for _Power Ventures_. Amazon wants to put Comet in the _Power Ventures_ box, and legally, that is exactly where a plaintiff wants to be. But the factual analogy is imperfect. Power Ventures was not merely helping users operate Facebook. It built a competing service, collected Facebook users’ information, imported that information into its own platform, and used users’ networks to market itself. Comet’s better factual description is simpler, because the user is still shopping. The user just has delegated parts of the shopping flow to software. If _Power Ventures_ means that a platform can veto any third-party agent, then the CFAA becomes a platform-control statute for the agentic web. Maybe that is where the Ninth Circuit ultimately lands. But if that’s the case, the CFAA is going to be an increasingly unpopular law. What’s especially disappointing is that courts continue to pretend that there are not difficult policy questions to consider with these new technologies. It is particularly true in this case, because it was a preliminary injunction proceeding, and the court was _required_ to consider the broader public interest question. Perplexity argued that an injunction would disserve the public interest in consumer choice and innovation. The court’s response was as thin and fragile as overcooked spaghetti. It said that the public has an interest in preventing unauthorized access to computers, and that was that. The platform says it’s not allowed, therefore it’s not allowed, and it’s in the public’s interest for it not to be allowed. See how easily we resolved issues with agentic AI? Reasoning like this makes the CFAA one giant circle of enforcing platform preferences. To be clear, there’s an argument for Amazon’s position, too. Platforms have real interests in account security, fraud prevention, bot detection, and knowing whether an automated system is moving through logged-in user accounts. But that’s only a small part of the story. The anti-competitive implications here are super-obvious. Perplexity’s stated theory of the case is that Amazon does not like a user tool that routes around Amazon’s preferred shopping and advertising experience. AI agents “don’t have eyeballs” for the ads Amazon “bombards” users with. Even if you think that line is a bit cute, the underlying point is real. Intermediaries often threaten incumbents precisely because they reduce friction, reorder presentation, or weaken monetization levers the incumbent would rather preserve. Search engines did that. Price-comparison tools do that. Browser extensions do that. API clients and integrations do that. AI agents will absolutely do that in a way that the platforms are not yet prepared to deal with. Stated plainly, the public interest section just isn’t serious here. A court need not become an antitrust tribunal every time someone says “innovation” or “consumer choice.” But this fact pattern is different from the fact pattern in _Power Ventures_. A court has a duty to at least think about that. — The other interesting part of this case is it’s another test of the definition of technological harm after _Van Buren_. Knowing that the _Power Ventures_ question was always going to be a tough climb, _Perplexity_ also asked some of the other tough CFAA questions that _Van Buren_ didn’t bother to answer. The order recognizes that _Van Buren_ at least raises a question about whether “loss” should be limited to technological harms, and it notes the Ninth Circuit’s comment in _hiQ_ about _Van Buren_ requiring such harms. Then it basically shrugs and says, in substance, “this is going to be resolved in Amazon’s favor,” without any explanation or analysis of whether that’s the correct outcome. To me, the technological harm question would be the easiest way to separate _Power Ventures_ from benign or socially useful integrations. A few courts have agreed, but many do not. And whether I like it or not, the Section 502 piece of the opinion is even more “chalk” than the CFAA ruling. California cases have long treated response and investigatory expenses as cognizable losses under Section 502. This also dates back to _Power Ventures_ and beyond. So if defendants already face an uphill fight arguing that CFAA investigative costs must be tethered to technological harm notwithstanding _Van Buren_ ’s “technological harms” language, that argument is harder still under Section 502, where _Van Buren_ is not controlling and the California text is friendlier to verification costs. Regardless, it is hard to imagine that _Power Ventures_ will survive agentic AI forever. Sooner or later, courts will be forced to acknowledge that people should be allowed to delegate to software tasks that they are legally allowed to do themselves, especially as software gets better and better at doing those tasks. But for now, _Power Ventures_ stays intact. Until courts grapple with the power with what agentic AI actually does, the CFAA will remain what large platforms want it to be. Not just a law against hacking, but a legal cudgel against unwanted interoperability or user preferences. The real task is for courts to acknowledge that platforms don’t need unchecked authority to kill all forms of automation on their platforms, but should instead distinguish malicious automation from disclosed, user-directed software that functions as the user’s chosen interface. I think we’ll get there eventually, but this opinion makes me think it’ll be some time before we do. Share this: * Click to email a link to a friend (Opens in new window) Email * Click to print (Opens in new window) Print * Click to share on Facebook (Opens in new window) Facebook * Click to share on LinkedIn (Opens in new window) LinkedIn * Click to share on X (Opens in new window) X * Click to share on Tumblr (Opens in new window) Tumblr * Click to share on Pinterest (Opens in new window) Pinterest * Click to share on Pocket (Opens in new window) Pocket * Click to share on Reddit (Opens in new window) Reddit *

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Original post on fosstodon.org

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Original post on infosec.exchange

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Original post on mas.to

mas.to

Cybersecurity company says former employee is holding domain name hostage - Domain Name Wire | Domain Name News

San Francisco startup alleges terminated employee won’t give it access to its domain name. System Two Security, a San Francisco-based cybersecurity company that raised a $7 million seed round in 2024, is suing (pdf) a former employee who it alleges is holding the company’s domain name hostage. The company used the domain name detections.ai for […]

domainnamewire.com

Open Source Initiative Helps G7 Deliver Vision On AI Openness

June 1, 2026 * News * Jordan Maris # Open Source Initiative Helps G7 Deliver Vision On AI Openness _On May 29, 2026 in Paris, G7 Digital and Technology ministers approved a “Vision on AI openness opportunities and shared language”. The vision, which sets out terminology around AI openness, is the result of a three-month partnership between the OSI and the G7._ OSI Executive Director, Duane O’Brien (pictured on the monitor), presents a summary of the work done to the G7 Ministers, while highlighting the benefits of Open Source AI and the need for continued collaboration to ensure clarity. The Vision, which comes under the French Presidency of the G7, highlights the vital role of the Open Source community in building and defining AI Openness. Additionally, it recognizes the challenges in understanding Openness and Open Source in the context of AI, as well as the elements that determine openness, and it calls for the use of clear and appropriate labels that accurately describe the degree of openness of AI systems. To this end, the Vision sets out clear criteria for AI model openness: labeling models with proprietary licensing as “ _Weights Available_ ”, while labeling models which are distributed under an Open Source license as “ _Open Weights”._ When it comes to Open Source AI, the criteria broadly follow those of the OSI’s Open Source AI definition (OSAID), however restrict exceptions to publishing training data to cases of legal or technical impossibility, and only require data information in absence of training data. Finally, the Vision adds criteria for “Open Source AI with Open Data” to describe AI systems where _all_ assets are released free of charge under an Open Source license – including its models’ weights, deployment code, training code, and full training data. As a knowledge partner in the process, the OSI sought to bring the voices of Open Source communities to the G7, making use of the expertise and experience gained in work on the OSAID, including the feedback received from Open Source communities about the definition. Over the course of three months, OSI staff helped draft the Vision and participated in online negotiations and in-person negotiations in Paris, providing clarity on the varying levels of openness in different AI models. OSI Executive Director Duane O’Brien welcomed the development, saying: > “ _The G7 Vision on AI Openness is the first such document to be written with this level of direct engagement between Government and representatives of the Open Source community. We believe it will contribute to creating certainty about Open Source AI, and are grateful to the French Presidency of the G7 for their inclusive approach, trust and support throughout this process.”_ In the G7 Ministerial Declaration on Digital & Technology, ministers also highlighted the role of the OSI in the process, welcoming “ _the valuable contribution of the Open Source Initiative, as well as other members of the community, in supporting the development of this document_.” Following the adoption of the Ministerial Declaration and shared vision at a meeting of G7 Digital and Technology Ministers in Paris, OSI Executive Director Duane O’Brien presented a summary of the work done to the attending Ministers, while highlighting the benefits of Open Source AI and the need for continued collaboration to ensure clarity: > _“Open Source transformed the global software industry. It enabled us to collaborate quickly and effectively to develop shared solutions for common problems. This transformation only worked because when we came together to collaborate, we had a shared understanding of what Open Source means. As we evolve our understanding of Open Source AI, it is vital that we continue to work from a similar shared understanding. We hope to continue to work closely with G7 countries on this important issue, and we stand ready to be your knowledge partners in the years to come.”_ As Open Source is increasingly in geopolitical focus, the Open Source Initiative continues to defend the interests of Open Source communities globally. Your membership and donations make our work possible! Click here to donate or to join the OSI.

opensource.org

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