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Neil Lawrence, a DeepMind Professor, critiques Big Tech's failures in addressing societal issues. He argues that these companies often lack the social intelligence necessary to deploy technology effectively. Lawrence emphasizes the need for a more responsible approach to technology deployment to avoid further societal harm.
Lawrence outlines four key steps to mitigate the negative impact of Big Tech, including recognizing past mistakes and understanding the complexities of AI regulation. He highlights the importance of respecting human limitations and vulnerabilities in the face of rapidly advancing technology. Ultimately, he calls for a re-empowerment of the open society to address the challenges posed by AI.
• Big Tech often exacerbates societal problems instead of solving them.
• AI regulation requires a distributed approach among various experts.
Lawrence emphasizes that effective AI regulation must involve multiple experts rather than relying on a single authority.
This tendency can lead to misunderstandings about AI's capabilities and motivations.
Lawrence argues that re-empowering the open society is crucial for addressing the challenges posed by AI.
DeepMind's work is often referenced in discussions about the ethical implications of AI technology.
Meta's CEO, Mark Zuckerberg, is cited as an example of tech leaders misunderstanding the complexities of AI regulation.
OpenAI's initiatives, such as universal basic income trials, are critiqued for not addressing the broader implications of AI on employment.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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