Explore >> Select a destination
|
You are here 
|
www.tobyord.com | ||
| | | | |
thezvi.wordpress.com
|
|
| | | | | The fun at OpenAI continues. We finally have the details of how Leopold Aschenbrenner was fired, at least according to Leopold. We have a letter calling for a way for employees to do something if frontier AI labs are endangering safety. And we have continued details and fallout from the issues with non-disparagement agreements and... | |
| | | | |
yoshuabengio.org
|
|
| | | | | I have been hearing many arguments from different people regarding catastrophic AI risks. I wanted to clarify these arguments, first for myself, because I would really like to be convinced that we need not worry. Reflecting on these arguments, some of the main points in favor of taking this risk seriously can be summarized as follows: (1) many experts agree that superhuman capabilities could arise in just a few years (but it could also be decades) (2) digital technologies have advantages over biological machines (3) we should take even a small probability of catastrophic outcomes of superdangerous AI seriously, because of the possibly large magnitude of the impact (4) more powerful AI systems can be catastrophically dangerous even if they do not surpass humans on every front and even if they have to go through humans to produce non-virtual actions, so long as they can manipulate or pay humans for tasks (5) catastrophic AI outcomes are part of a spectrum of harms and risks that should be mitigated with appropriate investments and oversight in order to protect human rights and humanity, including possibly using safe AI systems to help protect us. | |
| | | | |
www.marketingaiinstitute.com
|
|
| | | | | Discover why AI scaling faces challenges at OpenAI, Google, and Anthropic, plus the reality behind AI agents and exclusive insights from Dario Amodei's recent interview on responsible AI development. | |
| | | | |
blog.pdebruin.org
|
|
| | | Retrieval Augmented Generation Hackathon starts on September 3. Repo with more info, stream schedule, samples, registration: https://aka.ms/raghack Large language models are powerful language generators, but they don't know everything about the world. RAG combines the power of large language models with the knowledge of a search engine. This allows you to ask questions of your own data, and get answers that are relevant to the context of your question. LLM AI YouTube playlists Thanks for reading! :-) | ||
