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Lexi Love at CA AI and Copyright Hearing | Support for AB-412 Artificial Intelligence and Copyright Lexi Love delivers public comment at the California Joint Informational Hearing on Artificial Intelligence and Copyright, addressing the Senate Judiciary Committee and the Assembly Privacy and Consumer Protection Committee in support of AB-412....

39,940 次观看 • 8 个月前 •via X (Twitter)

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Chris Bryant today all but admitted why the government refuses to accept legislation that makes AI companies reveal their training data: They are going to offer creators transparency legislation *later*, in return for upending copyright law & letting AI companies train on people's life's work without permission. His justification for rejecting transparency legislation: "If we're going to get to that proper compromise solution [between creators and AI companies], it's going to require all the bits of the jigsaw to be put together into a comprehensive picture." That is: if creators want to know when AI companies are using their work, they're going to have to give up their rights. There is no other way of interpreting this comment I can think of. He is saying creators can't get transparency from AI companies without giving something up. And there is nothing to give up except their current rights under the law, which compel AI companies to ask their permission before using their work. Bryant & co. have given no other reason to reject transparency legislation. AI companies are breaking the law, and government refuses to hold them to account. IMO this is awful treatment of the creative sector by the government. Commercial generative AI training on copyrighted work without a license is illegal in the UK; creators cannot enforce their rights, because training happens behind closed doors; the government won't empower creators to enforce their rights without requiring them to give up other rights. Bookmark this. I hope I'm wrong, and that this is not the government's plan - but I see no other conclusion you can draw from Chris Bryant's words here.

Ed Newton-Rex

24,097 次观看 • 1 年前

For generative AI to become an interesting art tool, we need much more control over the output. The slot-machine-like nature of pure text-to-image leaves too much to chance. Using the "Real-time Latent Consistency Model" that I'm using in the example here, is the first time I truly got a glimpse of a future where we'll be able to use our artistic skills and sensibility, to get control over AI image gen. Systems like these will never be able to match the quality or originality of a skilled artist, it won't surprise us in the same way an artist can. Things are a mess in terms of the training data these models are based on, and the questions about copyright concerns and about a time when everything will look the same are very valid. At some point capabilities like these will be embedded in photoshop, and anyone will be able to generate a pretty picture. But to create interesting designs, to tell original stories and to surprise us, we need creatives and artists with something on their mind. We'll be able to create immersive worlds, by making brush-strokes and sculpt marks, without needing to worry about all the dials, plugins, wires of our 3d and 2d tools today. I love to sculpt, I love to draw, and I love to explore new mediums and new ways to create. The Gen AI tools we have today are far from perfect, and things need to be steered in a better direction. For that we need artists to help point the way. Gen AI isn't going away.. it's too powerful and has the potential to allow us to tell stories like never before. Like all other big technological shifts, tech like this will come at a cost, but it will also open up new opportunities and empower a new generation of storytellers. I might be naive, but I believe that human ingenuity and creativity will persevere in this new world ♥️ #art #ai

Martin Nebelong

1,660,426 次观看 • 2 年前

Generative AI is a Psy-op to Keep the Poor Dumb The growing mass reliance on Artificial Intelligence (AI) is not accidental. It is a deliberate effort driven by a few wealthy Silicon Valley capitalists to commoditise “intelligence” and convince people to adopt it in exchange for their real-life problem-solving abilities, critical thinking and cultural authenticity. The ultimate goal as always, is to enrich this already super-wealthy tech elite at the expense of everyone else. Tellingly, while these billionaire tech oligarchs spend billions to convince consumers to adopt and become dependent on “AI” solutions, they are also doubling down on the primacy of human intelligence in their elite bubbles. This was illustrated by luxury car brand Porsche, which recently released an advert whose messaging conspicuously signalled that it used exclusively human-created content. This is a clear sign of a sharp divide between the wealthy and everyday people on the question of AI adoption. While the working classes are heavily influenced to buy into the idea that generative AI platforms like ChatGPT, Suno, and VEO-3 represent the future of work, research, and art, luxury brands meant for the elite are concurrently reassuring their market that human craftsmanship, critical thinking, and genuine creativity remains central to their vision. “AI for thee, not for me” appears to be the message. Across Africa, multiple Western state and NGO actors are pushing for this so-called “AI revolution” to take a central place in African educational systems. Even in some parts of the continent where basic access to electricity remains a challenge, governments are being feverishly lobbied to adopt “AI strategies” for their under-resourced educational systems. At the very same time, it has been reported that Elon Musk, Mark Zuckerberg, and other Silicon Valley billionaires who are pushing AI adoption, not only enroll their children in Montessori schools but also restrict their exposure and access to the very same technology that their lobbyists are trying to push into African classrooms. The obvious danger in opening African education systems up to the so-called “AI Revolution” is that the next generation of Africans could end up devoid of the exact reading, writing, critical reasoning and creative skills that Africa needs to fully take its place in the world - instead trained from an early age to be reliant on ChatGPT, Grok, Suno, Nano Banana, and VEO-3 to do their thinking and expression for them. At a time when high-level human thinking is needed more than ever on the continent, it is no accident that Western lobbyists are heavily pushing the normalisation of generative AI as a core pillar of African education. If Africa is to be maintained as a colonial resource plantation and a market for excess overseas production, young Africans must be made to read, write and think less, and consume more. In Africa and elsewhere, the constant global dynamic is that the poor and underprivileged are encouraged to outsource their intellectual processes to AI in order to “stay competitive," while the wealthy quietly protect the disciplines that actually sharpen the mind: reading, writing, artistry, and critical thinking. Africans must see the “AI Revolution” for what it is. Far from just benign or neutral technological advancement, it is yet another manifestation of power consolidation by Western racial-capitalists. This class of people understands very well that literacy, philosophy, and art produce power, while delegation of thought only produces ignorance and compliance. Despite whatever message they put out, the reality remains that thinking for yourself will in fact, never be “disrupted.”

The Spearhead

85,484 次观看 • 7 个月前

DeepSeek-R1 shattered the assumption that performant AI models must be built closed source with loss-leading computational costs. This is the reality that Web3 x Crypto firms have been waiting for, leading me to believe that the most performant AI models in the future will be built on-chain. Resource Requirements DeepSeek R1 (671 billion parameters), which took over a billion dollars, 2,000 Nvidia H800 GPUs, and over 55 days, beat benchmarks held by OpenAI’s o1 mode (near 2 trillion parameters)l, which required hundreds of billions of dollars to develop along with over 16,000 advanced GPUs. The idea that AI models must be closed-source and have loss-leading computational costs to succeed is crumbling. The Existing Decentralized AI Narrative AI x Crypto projects believed that crowdsourced, public, decentralized AI would eventually create better models than their centralized counterparts. This had thus far not been true, as the highest-performing models had come from closed-source companies like OpenAI and Anthropic. Crypto x AI companies have adapted to this by specializing in infrastructure rather than model-building. For example, GPU marketplaces like , The Render Network, io.net, and Exabits have developed sustainable revenues. Companies that allow users to share their network bandwidth like touch grass and Gradient have found their niche in supplying services, like distributed web scraping, to web2 clients. Storage networks like Arweave Ecosystem, Filecoin, and Ocean Protocol have also done well by being the platform on which these projects are built. Supply networks have flourished because of their ability to tailor their cheaper and more scalable services to off-chain customers. Renewed Focus Now that GPU and financial resources are no longer limitations to creating quality AI models, web3 AI companies can focus on replicating DeepSeek’s effectiveness while offering new benefits like modality, user ownership, censorship resistance, privacy, and more. Pantera Capital has funded companies in this space like and Sentient that believe they can match or exceed the performance of traditional AI companies while offering additional services or benefits. , for example, is building a platform where anyone can monetize AI models, data sets, and applications in a collaborative space. Users can permissionlessly train models manually, provide training data, and create tailored AI models with no-code tools. They are only able to cater to all these stakeholders (AI developers, users, resource providers) because everything is tied to their native Sahara blockchain. We invested in them precisely for this reason. The Future of AI will be built with Web3 Infrastructure I believe that supply-side projects will continue to grow, while consumer-facing projects can begin competing with web2 competitors by taking advantage of their ability to build networks that invite community involvement. and Sentient, for example, have begun setting up systems for users to train models based on the users’ expertise. These platforms will allow users to pick and choose the data and integrations to whatever they are applying the model towards. Sahara already has over 780,000 users on their waitlist while Sentient has over 1 million interactions. In the near future, I believe that the most performant AI models will be built on-chain. For the full blog post, read my newsletter.

paul.nft

32,465 次观看 • 1 年前

THE TEN RECKONINGS OF AGI are ten critical, unanswered questions that will shape the future of humanity and our relationship with artificial intelligence, from narrow AI through human-level Artificial General Intelligence (AGI) to Superintelligence. This initiative builds on our new global study, which revealed in its first phase mounting public concern over AI governance. Initial findings from US-based respondents indicate that 48% believe advanced AI systems are being developed primarily by and for the benefit of a select few Big Tech corporations and governments, with insufficient public oversight and accountability. The data also shows that two-in-five (39%) Americans are worried that current AI development is not transparent and accountable to the public. The majority (54%) say they feel the direction of development is already out of our hands, and they lack control over the role AI will play in their lives over the next 5-10 years. CEO Dr. Ben Goertzel challenges this trajectory, advocating for open dialogue and interoperability among all AI actors to ensure that future developments serve humanity and other sentient beings. Starting next week, each of THE TEN RECKONINGS will be interrogated by Dr. Goertzel together with the world’s leading minds in AI, technology, philosophy, and ethics, with publicly available information for all to engage with the discussion. Follow THE TEN RECKONINGS on YouTube and subscribe to stay updated as each question is explored:

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28,020 次观看 • 1 年前