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Today’s Headlines:

• Blockchain, the tech behind bitcoin, may have found its ‘killer use case’ by keeping AI in check - Blockchain could be used to prevent bias in the data that artificial intelligence models are being trained on.

• GPT-4 successor reportedly a "major upgrade" - OpenAI's Altman in talks with TSMC for AI chips - OpenAI is working on a new AI model that will be a "major upgrade" to GPT-4 and is expected to be released later this year. The goal is to develop chips needed for training and running AI models, and to reduce OpenAI's dependence on Nvidia.

• Google aims to deliver "world's most advanced AI" in 2024, and it certainly has a long way to go - Google's main goal for 2024 is to "deliver the world’s most advanced, safe, and responsible AI." The fact that Microsoft's cloud business is growing faster than Google's thanks to the OpenAI collaboration is likely to be a major pain point for Google. The big tech companies see the cloud as the next growth horizon.

• Stanford HAI on Open Foundation Models - This brief highlights the benefits of open foundation models and calls for greater focus on their marginal risks. It aims to provide policymakers and the public with a clear and nuanced understanding of these complex technologies, and to help them make informed decisions about how best to regulate and govern their development and use.

• Delivery Firm’s AI Chatbot Goes Rogue, Curses at Customer and Criticizes Company - An AI customer service chatbot for international delivery service DPD used profanity, told a joke, wrote poetry about how useless it was, and criticized the company as the “worst delivery firm in the world” after prompting by a frustrated customer.

• OpenAI bans Dean Phillips chatbot, but chatting with Trump in OpenAI's GPT store works fine - The "Dean.bot" was a political chatbot for Democratic presidential candidate Dean Phillips. The bot used language models from OpenAI to answer questions from potential voters on a website. OpenAI prohibits the use of its language models for political purposes.

• How AI Can Help Humans Become More Human - At the moment the AI conversation is focused on how to align AI with human values. But the possibility I’m most excited about isn’t how AI can become more human — it’s how AI can help humans become more human.

• AI is destabilizing ‘the concept of truth itself’ in 2024 election - Politicians around the globe have been swatting away potentially damning pieces of evidence — grainy video footage of hotel trysts, voice recordings criticizing political opponents — by dismissing them as AI-generated fakes.

• Demystifying AI: The Probability Theory Behind LLMs Like OpenAI’s ChatGPT - Understanding how the large language models (LLMs) are powering AI work is critical to not just piercing the black box of the technology’s supposed inscrutability, but also to applying AI tools correctly within an enterprise setting.

• AI costs too much to automate vision-related jobs – for now - Artificial intelligence may be coming for many people’s jobs according to some Fortune 500 CEOs and Silicon Valley leaders – but AI computer vision technologies are not yet cheap enough to make them worthwhile for most US businesses today.

• Voice AI startup ElevenLabs gains unicorn status after latest fundraising - ElevenLabs said it raised $80 million in Series B funding from investors led by venture capitalist Andreessen Horowitz along with entrepreneurs Nat Friedman and Daniel Gross, with participation from Sequoia Capital among others. The two-year-old firm did not disclose a valuation but the person said the round valued it at $1.1 billion, making it a unicorn - or billion-dollar startup.

• How AI will — and won't — change health care - Even AI optimists don't envision the technology fundamentally remaking the U.S. health care system anytime soon, but there's widespread agreement that it has the potential to vastly improve the quality of care and trim costly waste.

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