Has Open Source AI Just Become Too Dangerous?

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Description/Info Box:
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Title: Has Open Source AI Just Become Too Dangerous?
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Did Mark Zuckerberg make a mistake to open source an LLM with 405 billion parameters? Support me: https://www.patreon.com/thehatedone
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There is a new open source AI out there. It was published by Meta and it’s one of the most powerful models ever developed. And now a lot of people want to stop it. They say Meta is too dangerous and irresponsible. And what if they are right this time? Why would Mark Zuckerberg do this? Who should you believe and what if open source AI is a mistake?
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Let me shine a light on all of these things that I’ve been following extremely closely as I believe what will transpire over the next months and years will profoundly affect all of our digital lives.
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On July 23, Meta published a new stack of AI models as Llama 3.1 packaged into three different sizes. There are two models small enough to run on consumer hardware with just 8 and 70 billion parameters. But we’ve had those for a while. What really changes everything is Meta’s largest model to date – with whopping 405B paramaters, it’s the biggest and most capable open source LLM ever created.
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The 405b model is now capable of rivaling and even outperforming ChatGPT. No open source AI has done this before. But unlike GPT-4, anyone in the world can copy, modify and redistribute Meta’s flagship AI without almost any restrictions.
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Sources [references available in the transcript]
[0] https://ai.meta.com/blog/meta-llama-3-1/
[1] https://huggingface.co/meta-llama/Meta-Llama-3.1-405B
[2] https://www.ft.com/content/a09e4aaf-be52-4a45-86a7-c6d1636526bc
[3] https://time.com/7002563/mark-zuckerberg-ai-llama-meta-open-source/
[4] https://www.engadget.com/llama-31-is-metas-latest-salvo-in-the-battle-for-ai-dominance-150042924.html
[5] https://www.politico.com/news/2023/12/03/congress-ai-fellows-tech-companies-00129701
[6] https://www.politico.eu/article/rishi-sunak-artificial-intelligence-pivot-safety-summit-united-kingdom-silicon-valley-effective-altruism/
[7] https://www.afr.com/technology/google..
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