DeepMind CEO Demis Hassabis pushes back on claims by Meta's Yann LeCun that he, Sam Altman, and Dario Amodei are fearmongering to achieve AI regulatory capture
Ng states that the idea that artificial intelligence could lead to the extinction of humanity is a lie being spread by big tech in the hope of triggering heavy regulation that would shut down competition in the AI market. … X: Yann LeCun / @ylecun : Altman, Hassabis, and Amodei are the ones doing massive corporate lobbying at the moment. They are the ones who are attempting to perform a regulatory capture of the AI industry. You, Geoff, and Yoshua are giving ammunition to those who are lobbying for a ban on open AI R&D. If your fear-mongering campaigns succeed, they will *inevitably* result in what you and I would identify as a catastrophe: a small number of companies will control AI... Jeremy Howard / @jeremyphoward : Whilst @geoffreyhinton is a *brilliant* scientist, scientists are *not* the people to teach us about risk management. The project manager for the Nuclear Information Project has already warned us about these “muddled analogies”, leading to a “calorie-free media panic”. [image] Mark Chen / @markchen90 : Let me get something straight. The folks who have been worried about AI safety consistently since 2015 — 3 years before GPT and 7 years before ChatGPT — have been using it this whole time as a tool for regulatory capture? Pedro Domingos / @pmddomingos : The psychology of AI alarmists: Elon Musk: Savior complex. Needs something to save the world from. Geoff Hinton: Ultra-leftist, world-class eccentric. Yoshua Bengio: Hopelessly naive idealist. Stuart Russell: His only impactful application ever was to nuclear test monitoring.... Sriram Krishnan / @sriramk : Realizing how important it was for @ylecun and team to get llama2 out of the door. A) they may have never had a chance to later legally B) we would have never seen what is possible with open source ( see all the work downstream of llama2) and thought of LLMs as the birthright of 2-4 companies. Clem / @clementdelangue : IMO compute or model size thresholds for AI building would be like counting the lines of code for software building. Regulation based on this will most likely be easily fooled, create hurdles/worries for companies to compete on bigger models (so concentration of power) and slow... Forums: r/singularity : Google DeepMind boss hits back at Meta AI chief over ‘fearmongering’ claim
The debate is not about “for or against regulations.” It's about whether open research in AI, open source AI code, and open access AI models should be regulated out of existence. People's position on this depends on whether they believe the benefits of openness far outweigh the…
A fierce debate between ML builders and researchers for and against regulation. For early regulation are closed AI companies like OpenAI, Google, & Microsoft. Against premature regulation are open source cos like Meta, Amazon, & most startups. Pro: https://www.afr.com/... Con:…
Altman, Hassabis, and Amodei are the ones doing massive corporate lobbying at the moment. They are the ones who are attempting to perform a regulatory capture of the AI industry. You, Geoff, and Yoshua are giving ammunition to those who are lobbying for a ban on open AI R&D. If…
Whilst @geoffreyhinton is a *brilliant* scientist, scientists are *not* the people to teach us about risk management. The project manager for the Nuclear Information Project has already warned us about these “muddled analogies”, leading to a “calorie-free media panic”. [image]
Let me get something straight. The folks who have been worried about AI safety consistently since 2015 — 3 years before GPT and 7 years before ChatGPT — have been using it this whole time as a tool for regulatory capture?
The psychology of AI alarmists: Elon Musk: Savior complex. Needs something to save the world from. Geoff Hinton: Ultra-leftist, world-class eccentric. Yoshua Bengio: Hopelessly naive idealist. Stuart Russell: His only impactful application ever was to nuclear test monitoring....
Realizing how important it was for @ylecun and team to get llama2 out of the door. A) they may have never had a chance to later legally B) we would have never seen what is possible with open source ( see all the work downstream of llama2) and thought of LLMs as the birthright of…
IMO compute or model size thresholds for AI building would be like counting the lines of code for software building. Regulation based on this will most likely be easily fooled, create hurdles/worries for companies to compete on bigger models (so concentration of power) and slow..…