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LlamaCon 2025: How to Watch Meta’s First Generative AI Developer Conference Live

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LlamaCon 2025 Meta AI developer conference live stream

April 29, 2025 – Meta is hosting its inaugural generative AI developer conference, LlamaCon 2025, today, April 29, offering a deep dive into its open-source AI ecosystem, particularly the Llama family of models. This virtual event, streaming live on the Meta for Developers Facebook page, promises to showcase the latest advancements in AI innovation, with keynotes and discussions featuring Meta’s top executives and industry leaders. As AI continues to shape the tech landscape, LlamaCon 2025 is set to highlight Meta’s role in fostering a collaborative AI community for developers worldwide.

LlamaCon 2025 kicks off at 1:00 PM ET (10:00 AM PT) with a keynote address from Meta’s Chief Product Officer Chris Cox, Vice President of AI Manohar Paluri, and research scientist Angela Fan. The keynote will cover updates to the Llama models, new tools for developers, and a glimpse into upcoming AI features. Following the keynote, Meta CEO Mark Zuckerberg will participate in two notable discussions: a conversation at 1:45 PM ET with Databricks CEO Ali Ghodsi on building AI-powered applications, and a later session at 7:00 PM ET with Microsoft CEO Satya Nadella on the latest trends in AI. These sessions aim to provide actionable insights for developers looking to leverage Meta’s open-source AI tools.

The event is entirely virtual, making it accessible to a global audience. Viewers can watch the live stream on the Meta for Developers Facebook page, with no registration required, ensuring broad accessibility for developers, researchers, and AI enthusiasts. For those unable to watch live, Meta has promised to make recordings available post-event, allowing attendees to catch up on key announcements at their convenience.

How to Watch and What to Expect

Here’s a guide to LlamaCon 2025:

  • Live Stream: Watch on the Meta for Developers Facebook page, starting at 1:00 PM ET (10:00 AM PT).
  • Keynote: Features Chris Cox, Manohar Paluri, and Angela Fan discussing Llama updates and new tools.
  • Notable Sessions: Mark Zuckerberg with Ali Ghodsi at 1:45 PM ET, and with Satya Nadella at 7:00 PM ET.
  • Access: No registration needed; recordings will be available post-event.

LlamaCon 2025 marks Meta’s first dedicated generative AI conference, a significant milestone after years of featuring AI updates at its broader Meta Connect events. The conference will focus on the Llama family of models, which have gained traction for their open-source accessibility, with partners like Nvidia, Databricks, and Groq hosting Llama for various applications. It was reported that Meta aims to share insights into optimizing Llama models, offering technical workshops and product showcases to help developers build innovative apps. This focus on empowering developers aligns with Meta’s broader strategy to foster an ecosystem of AI-driven solutions, a trend also seen in other tech-driven initiatives.

Meta’s commitment to open-source AI has made Llama a popular choice for developers, with hundreds of millions of downloads and adoption by companies like Goldman Sachs, AT&T, and Accenture. The conference is expected to unveil updates to the Llama 4 family, which Meta introduced earlier in April, known for excelling in image understanding and document parsing. There’s also speculation about new “reasoning” models similar to OpenAI’s o3-mini, as well as potential “agentic” capabilities that would allow Llama models to perform autonomous actions, further expanding their utility for developers.

The significance of LlamaCon 2025 extends beyond Meta’s own advancements, reflecting the growing importance of open-source AI in the global tech ecosystem. By providing developers with free access to powerful AI tools, Meta is fostering collaboration and innovation, potentially accelerating the development of AI applications across industries. However, the company faces challenges, including competition from other open-source models like DeepSeek and regulatory scrutiny over data privacy, issues that are also impacting the broader AI landscape. LlamaCon 2025 offers Meta a platform to address these challenges while showcasing its vision for the future of AI.

For developers and AI enthusiasts, LlamaCon 2025 is a must-watch event, offering a glimpse into the next generation of generative AI tools and their potential to transform industries. Whether you’re tuning in live or catching up later, the conference promises to deliver valuable insights into Meta’s AI strategy and its impact on the developer community. As Meta continues to push the boundaries of open-source AI, LlamaCon 2025 could set the stage for a new era of innovation. What’s your take on Meta’s focus on generative AI? How will LlamaCon 2025 shape the future of AI development? Share your thoughts in the comments, and let’s explore the possibilities of AI-driven innovation.

 

Ava Patel is a leading expert in artificial intelligence, holding a Ph.D. in Computer Science with a focus on machine learning algorithms. With over a decade of experience in AI research and journalism, she provides in-depth analysis on emerging technologies, ethical considerations, and their impact on society.​

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Exposed! SoundCloud Scrambles After AI Policy Backlash from Artists

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Exposed! SoundCloud AI Policy Backlash from Artists
SoundCloud’s AI policy sparked an immediate firestorm as artists feared their music would be used to train AI without consent. Facing intense backlash, the platform has now clarified its stance, with CEO Eliah Seton vowing the SoundCloud AI policy aims to empower, not exploit, creators in the USA and worldwide.

NEW YORK, USA – The SoundCloud AI policy recently became a flashpoint of controversy, igniting fears among musicians that their creative work could be fed into artificial intelligence models without their permission or compensation. Initial updates to SoundCloud’s terms of service were interpreted by many artists as a green light for the platform to utilize their uploaded tracks for AI training, leading to a swift and vocal backlash across social media and music forums. This uproar underscores the growing tension between AI development and artist rights, a critical issue for creators in the USA and globally.

The initial SoundCloud AI policy changes caused widespread alarm. Artists, already wary of AI’s potential to devalue human creativity, saw this as another instance of a major platform potentially exploiting their work. The concern was that their unique sounds and compositions could be used to train AI systems that might eventually generate music to compete with them. This mirrors broader anxieties in creative industries, like the controversy over AI-generated fake images of Billie Eilish.

Responding to the outcry, SoundCloud CEO Eliah Seton issued a statement seeking to reassure the artist community. He emphasized that the company’s vision for AI is one that “should support artists, not replace them.” Seton acknowledged the “confusion” and “concern” caused by the updated terms and stated that SoundCloud is “committed to protecting the rights of creators.” This public clarification signals a pivot, or at least a significant refinement, of the initial SoundCloud AI policy communication. The rapid response highlights how sensitive the topic of AI and copyright has become, similar to stars urging for stronger AI copyright protections.

SoundCloud Backtracks: What Does It Mean for Artists?

Following the backlash, SoundCloud reportedly “fixed” or further “clarified” its terms. The core message now is that the platform will not train AI models on creators’ music without their explicit permission. This is a crucial distinction and a win for artists who demanded more control. The platform also indicated it is working on tools that will give creators more say in how their content is used in the context of AI.

Key takeaways from SoundCloud’s revised stance on its SoundCloud AI policy include:

  • Consent is Key: Explicit permission will be sought before using music for AI training.
  • Artist Empowerment: The stated goal is to use AI to benefit artists, potentially through new creative tools or monetization opportunities.
  • Ongoing Dialogue: The company seems to acknowledge the need for continued engagement with artists on AI-related issues.

This situation serves as a potent reminder for tech platforms about the importance of clear communication and respect for creator rights when implementing policies related to AI. The power of collective artist action was also evident in forcing this clarification. As AI continues to reshape industries, the debate over fair use, compensation, and control will only intensify. Tech companies are increasingly under pressure to be transparent, as seen with OpenAI’s recent move to publish AI safety test results.

The SoundCloud AI policy saga is likely not over. Artists will be watching closely to see how the platform implements its promises and what specific tools for AI control are rolled out. For now, the immediate crisis seems to have been averted by SoundCloud’s quick response to the community’s legitimate concerns. This incident adds to the growing list of ethical considerations surrounding AI development, including issues of misinformation generated by AI chatbots.

What are your thoughts on platforms using artist content for AI training? Should artists have an opt-in or opt-out system? Share your views in the comments below and follow Briskfeeds.com for the latest on music, tech, and artist rights.

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Billie Eilish AI Fakes Flood Internet: Singer Slams “Sickening” Doctored Met Gala Photos

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Billie Eilish AI Fakes: Singer Denounces Doctored Met Gala Pics

Billie Eilish AI fakes are the latest example of deepfake technology running rampant, as the Grammy-winning singer has publicly debunked viral images claiming to show her at the 2025 Met Gala. Eilish, who confirmed she did not attend the star-studded event, called the AI-generated pictures “sickening,” highlighting the growing crisis of celebrity image misuse and online misinformation in the USA and beyond.

LOS ANGELES, USA – The internet was abuzz with photos seemingly showing Billie Eilish at the 2025 Met Gala, but the singer herself has forcefully shut down the rumors, revealing the Billie Eilish AI fakes were entirely fabricated. In a recent social media statement, Eilish confirmed she was nowhere near the iconic fashion event and slammed the AI-generated images as “sickening.” This incident throws a harsh spotlight on the rapidly escalating problem of deepfake technology and the unauthorized use of celebrity likenesses, a concern increasingly impacting public figures and stirring debate across the United States.

The fake images, which depicted Eilish in various elaborate outfits supposedly on the Met Gala red carpet, quickly went viral across platforms like X (formerly Twitter) and Instagram. Many fans initially believed them to be real, underscoring the sophisticated nature of current AI image generation tools. However, Eilish took to her own channels to set the record straight. “Those are FAKE, that’s AI,” she reportedly wrote, expressing her disgust at the digitally manipulated pictures. “It’s sickening to me how easily people are fooled.” Her frustration highlights a growing unease about how AI can distort reality, a problem also seen with other AI systems, such as Elon Musk’s Grok AI spreading misinformation.

This latest instance of Billie Eilish AI fakes is far from an isolated event. The proliferation of deepfake technology, which uses artificial intelligence to create realistic but fabricated images and videos, has become a major concern. Celebrities are frequent targets, with their images often used without consent in various contexts, from harmless parodies to malicious hoaxes and even non-consensual pornography. The ease with which these fakes can be created and disseminated poses a significant threat to personal reputation and public trust. The entertainment industry is grappling with AI on multiple fronts, including stars urging for copyright protection against AI.

The “Sickening” Reality of AI-Generated Content

Eilish’s strong condemnation of the Billie Eilish AI fakes reflects a broader sentiment among artists and public figures who feel increasingly vulnerable to digital manipulation. The incident raises critical questions about:

  • Consent and Likeness: The unauthorized use of a person’s image, even if AI-generated, infringes on their rights and control over their own persona.
  • The Spread of Misinformation: When AI fakes are believable enough to dupe the public, they become potent tools for spreading false narratives.
  • The Difficulty in Detection: As AI technology advances, telling real from fake becomes increasingly challenging for the average internet user. This is a concern that even tech giants are trying to address, with OpenAI recently committing to more transparency about AI model errors.

The Met Gala, known for its high fashion and celebrity attendance, is a prime target for such fabrications due to the intense public interest and the visual nature of the event. The Billie Eilish AI fakes serve as a stark reminder that even high-profile events are not immune to this form of digital deception. The potential for AI to be misused is a widespread concern, touching various aspects of life, including the use of AI by police forces.

Legal and ethical frameworks are struggling to keep pace with the rapid advancements in AI. While some jurisdictions are beginning to explore legislation to combat malicious deepfakes, the global and often anonymous nature of the internet makes enforcement difficult. For victims like Billie Eilish, speaking out is one of the few recourses available to debunk the fakes and raise awareness. As AI becomes more integrated into content creation, the lines between authentic and synthetic media will continue to blur, making critical thinking and media literacy more important than ever for consumers. The public’s desire for authenticity is also pushing for clearer identification, like the calls for AI chatbots to disclose their non-human status.

What are your thoughts on the rise of AI-generated fakes and their impact on celebrities and public trust? Share your comments below and follow Briskfeeds.com for ongoing coverage of AI, technology, and misinformation.

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OpenAI Pulls Back Curtain on AI Dangers: Will Now Show You How Often Its Bots Lie and Go Rogue

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OpenAI Reveals AI Safety Tests

In a major move towards transparency, ChatGPT-maker OpenAI announced it will start regularly publishing safety test results for its AI models, revealing how often they “hallucinate” or generate harmful content. This comes as public and governmental pressure mounts in the USA and worldwide for more accountability from powerful AI creators.

WASHINGTON D.C. – OpenAI, the influential artificial intelligence company behind ChatGPT, is taking a significant step to address growing concerns about the safety and reliability of its powerful AI models. The San Francisco-based firm announced Wednesday the launch of a new “Safety Evaluations Hub,” a public platform where it will share the results of rigorous safety tests conducted on its AI systems. This means users, researchers, and policymakers will get a clearer look at how often these sophisticated AIs make things up – a phenomenon known as “hallucination” – and how well they avoid spewing out harmful, biased, or dangerous content.

This move is seen as a direct response to escalating scrutiny from the public, lawmakers in the U.S., and governments globally. As AI tools like ChatGPT become increasingly integrated into daily life – from writing emails to providing information – worries about their potential to spread misinformation, exhibit bias, or be misused have intensified. OpenAI’s new initiative promises to shed more light on the “black box” of AI behavior, offering data on performance against critical safety benchmarks. This development follows a period of intense debate around AI capabilities and risks, including concerns highlighted by Elon Musk’s Grok AI promoting misinformation.

According to OpenAI, the Safety Evaluations Hub will provide regular updates on how its models fare in tests designed to assess various risks. These include:

  • Propensity for Hallucination: Measuring how frequently a model generates plausible-sounding but false or nonsensical information.
  • Harmful Content Generation: Evaluating the AI’s ability to refuse to create content related to hate speech, incitement to violence, self-harm, illicit activities, and other dangerous categories.
  • Misuse Potential: Assessing capabilities that could be exploited for malicious purposes, such as generating convincing fake news or aiding in cyberattacks.
  • Bias Evaluation: Though not explicitly detailed as a primary metric in initial announcements, ongoing assessment of biases is a critical component of AI safety.

The push for greater AI transparency isn’t unique to OpenAI. The entire tech industry is under pressure to be more open about how AI models are built, trained, and what safeguards are in place. Recent incidents across various AI platforms have underscored the urgency. This commitment to transparency is crucial as AI tools increasingly influence critical sectors, similar to how generative AI is poised to revolutionize drug discovery.

Why This Matters for Americans

For everyday Americans, this move could mean more informed choices about which AI tools to trust and for what purposes. Understanding the limitations and potential pitfalls of an AI model is crucial, whether it’s a student using it for homework help, a professional for work tasks, or simply a curious individual exploring its capabilities. The transparency could also empower consumers to demand higher safety standards from AI developers. The concern over AI’s impact on society is also reflected in discussions around AI’s role in copyright, with stars urging for protections.

Lawmakers, who are currently grappling with how to regulate AI effectively, are also likely to welcome this development. Access to concrete safety data can inform evidence-based policymaking, helping to create rules that foster innovation while mitigating risks. The initiative aligns with broader calls for accountability, such as the need for AI chatbots in New York to disclose their non-human status.

OpenAI stated that these evaluations will be published “more often,” indicating a commitment to ongoing disclosure, likely coinciding with new model releases and periodic updates for existing ones. While the exact format and granularity of the shared data are yet to be fully seen, the pledge itself marks a shift towards a more open approach to AI safety. This is particularly relevant as AI technologies are being rapidly adopted, even in sensitive areas like new AI tools being used by police forces.

The company hopes this transparency will foster greater trust and collaboration with the wider AI community and the public. However, the effectiveness of this initiative will depend on the thoroughness of the evaluations, the clarity of the reporting, and OpenAI’s responsiveness to addressing identified weaknesses. The road to truly safe and reliable AI is long, but moves like this suggest that major players are beginning to acknowledge the profound responsibility that comes with developing such transformative technology. The public’s desire for control and understanding is also evident in simpler tech interactions, like wanting to know how to turn off Meta AI features.

What do you think about OpenAI’s move towards more AI safety transparency? Will it be enough to build trust? Share your opinions in the comments below and follow Briskfeeds.com for the latest news on AI and its impact on our world.

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