When you look at the current state of the world, which of these two poses a greater existential threat to humanity?
ETHICS
-
Deepfakes and AI: Distinguishing Truth from Deception
By
–
Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants. pic.twitter.com/DPSVgDh0BZ
— Rafik Smati (@RafikSmati) 28 octobre 2023Rien dans cette vidéo n'est vrai ! Ceci est un clone de moi même (ou deep-fake) réalisé en quelques secondes à partir d'une IA. Le grand défi des années à venir sera de distinguer le vrai du faux dans un monde saturé de fake news et d'images trompeuses. Soyez vigilants.
-
Distinguishing Approximate Retrieval from Reasoning in LLMs
By
–
Do not confuse approximate retrieval with reasoning.
I used this scenario as a simple didactic example of physical understanding (or lack thereof).
Naturally, a pure text LLM will answer such questions correctly if the scenario, or a significantly similar one, is described in its -
Why Current Auto-Regressive LLMs Will Remain Fundamentally Limited
By
–
One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely -
Autoregressive LLMs limitations: knowledge without intelligence
By
–
One thing we know is that if future AI systems are built on the same blueprint as current Auto-Regressive LLMs, they may become highly knowledgeable but they will still be dumb.
They will still hallucinate, they will still be difficult to control, and they will still merely -
GPAI-PMIA Shares Views on Frontier Models at Summit
By
–
@GPAI_PMIA is honoured to be invited share our views on Frontier models. I personally congratulate all participants at the summit for their generosity in sharing with honesty and spirit of collaboration their views on how to ensure the future for an AI for Good
-
LLM Disclosure Requirements: Transparency and Accountability Standards
By
–
Huge +1. Everything she says in this response should be listed as bullet points as disclosure for all LLM tools before every use.
-
Government Control vs Private Companies in AI Governance
By
–
I am actually a big proponent of open-source AI models … but I also believe that it is beneficial for us all if the governments (which are elected by us) control the AI actors. I don't trust governments much, but I trust them more than I trust profit-driven companies.
-
Government Regulation of Open Foundation Models Discussed
By
–
Should governments regulate open foundation models? This Princeton-Stanford workshop convened experts to discuss principles, practices, and policy. @PrincetonCITP @StanfordCRFM
-
Hopes and Fears Lab: Public and Experts Share AI Insights
By
–
Fantastic two days of activities around the Hopes and Fears lab, thanks to @EthicsSciPublic and @AccelerateSci for pulling this together and lots of AI experts for joining in. But thanks even more everyone who joined from the public to share their thoughts!