Bahruz Babayev’s Post

When content is used for training, Altman said we need new economic models that would compensate content owners. "If we're going to teach someone else physics using your textbook and using your lesson plans, we'd like to find a way for you to get paid for that. If you teach our models, I'd love to find new models for you to get paid based off the success of that... The current conversation is focused a little bit at the wrong level, and I think what it means to train these models is going to change a lot in the next few years." #ai #generativeai

Why we must bridge the skills gap to harness the power of AI | World Economic Forum: AI has vast potential, both positive and negative. To maximize its benefits, closing the AI skills gap is crucial. - Artificial Intelligence topics! #ai #artificialintelligence #intelligenzaartificiale

Happy to share our last science for policy brief on generative AI transparency, where we provide a summary of technical solutions vs desired properties (efficiency, data integrity, robustness and protection) in the context of the #EUAIAct https://lnkd.in/egRSJzq3 with amazing team Ronan Hamon , @ignacio Sanchez, David Fernández Llorca

"Sam Altman's Insights at Davos: Navigating the Future of AI, Trust, and Human Connection" 1. AI and Productivity: Altman highlights that despite AI’s current limitations, people are finding ways to use it for significant productivity gains, understanding the tool’s capabilities and limitations. 2. Explanations by AI: Altman predicts that AI systems will be able to explain their reasoning to users in natural language, enhancing trust by allowing users to evaluate the steps taken by the AI. 3. Human Care and AI: Contrary to concerns in the past, Altman believes AI won’t replace human care for each other. Humans remain interested in human activities, and AI won’t diminish the value of human connections. 4. Shift in Job Roles: Altman anticipates a shift in job roles towards higher abstraction, with AI providing more capability. Jobs may involve thinking about decisions, coordinating with others, and making decisions at a higher level. 5. Optimism on AI Values Alignment: Altman expresses optimism in aligning AI with human values. He acknowledges progress in aligning AI technology with values but emphasizes the need for societal discussions on determining those values. 6. Responsibility of Tech Industry: Altman stresses the responsibility of the tech industry to involve society in decisions about AI values, safety thresholds, and deployment. He sees the co-evolution of technology and society as crucial. 7. New Economic Models for Content: Altman discusses the need for new economic models for content in AI training. He suggests compensating content owners when their data is used for training, emphasizing the importance of evolving models in the coming years. #ai #aicommunity #wef #society #data #openai

Is AI's future locked into trillion-dollar investments, or is there a more democratic path forward? I recently spoke with Eugene Cheah, founder of Recursal AI and co-lead on the open-source RWKV project, who's working to democratize AI by tackling some of the core constraints of transformers. Listen in on our full conversation here: https://lnkd.in/gKrrVRjp

Why we must bridge the #skillsgap to #harness the #powerofAI A compelling read highlighting the essential steps needed to unlock the full potential of AI in our rapidly evolving digital era. #AI #SkillsGap #FutureTech #HumanCapital #ReSkilling https://lnkd.in/deaRkzpQ

Will there be enough GPUs to serve AI for the world? Will we be able to scale beyond the English market? Thanks for having me over for the interview where we talked about RWKV and Recursal AI Our belief in open source. & Our group's goal, in making ... AI accessible to everyone, in every language or nation.

How to make transparency as a security principle more practical and implementable? 👉 "Incorporating metadata and watermarking into content allow for easier tracking and authentication of machine-generated digital content".

Davos 2024: Sam Altman on the future of AI "AI has been somewhat demystified because people really use it now. And that's always the best way to pull the world forward with a new technology." "Humans know what other humans want. Humans are going to have better tools. We've had better tools before, but we're still very focused on each other." "I think it's good that we and others are being held to a high standard. We can draw on lessons from the past about how technology has been made to be safe and how different stakeholders have handled negotiations about what safe means." — Sam Altman, CEO, OpenAI

Lately, I've developed a keen interest in understanding algorithmic bias and delving into methods to enhance its transparency and reliability. In a world increasingly shaped by AI, it's crucial to demystify the assumptions surrounding the fairness of AI solutions. My recent piece, "Understanding Data, Bias, and Algorithmic Transparency," takes a closer look at the intricate connections between these components. Let me know your thoughts on this!