AI/ML

AI/ML

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Top AI researcher dismisses AI 'extinction' fears, challenges 'hero scientist' narrative | VentureBeat
Top AI researcher dismisses AI 'extinction' fears, challenges 'hero scientist' narrative | VentureBeat
First of all, I think that there are just too many letters. Generally, I’ve never signed any of these petitions. I always tend to be a bit more careful when I sign my name on something. I don’t know why people are just signing their names so lightly.
Lindsey Graham pointed out the military use of AI. That is actually happening now. But Sam Altman couldn’t even give a single proposal on how the immediate military use of AI should be regulated. At the same time, AI has a potential to optimize healthcare so that we can implement a better, more equitable healthcare system, but none of that was actually discussed.
But now the hero scientist narrative has come back in. There’s a reason why in these letters, they always put Geoff and Yoshua at the top. I think this is actually harmful in a way that I never thought about.
’m not a fan of Effective Altruism (EA) in general. And I am very aware of the fact that the EA movement is the one that is actually driving the whole thing around AGI and existential risk. I think there are too many people in Silicon Valley with this kind of savior complex. They all want to save us from the inevitable doom that only they see and they think only they can solve.
·venturebeat.com·
Top AI researcher dismisses AI 'extinction' fears, challenges 'hero scientist' narrative | VentureBeat
MinIO | High Performance, Kubernetes Native Object Storage
MinIO | High Performance, Kubernetes Native Object Storage

MinIO is a high-performance, S3 compatible object store. It is built for large scale AI/ML, data lake and database workloads. It runs on-prem and on any cloud (public or private) and from the data center to the edge. MinIO is software-defined and open source under GNU AGPL v3.

·min.io·
MinIO | High Performance, Kubernetes Native Object Storage
All the Hard Stuff Nobody Talks About when Building Products with LLMs | Honeycomb
All the Hard Stuff Nobody Talks About when Building Products with LLMs | Honeycomb
Commercial LLMs like gpt-3.5-turbo and Claude are the best models to use for us right now. Nothing in the open source world comes close. However, this only means they’re the best of available options. They can take many seconds to produce a valid Honeycomb query, with latency ranging from two to 15+ seconds depending on the model, natural language input, size of the schema, makeup of the schema, and instructions in the prompt. As of this writing, although we have access to gpt-4’s API, it’s far too slow to work for our use case.
·honeycomb.io·
All the Hard Stuff Nobody Talks About when Building Products with LLMs | Honeycomb
Japan Goes All In: Copyright Doesn't Apply To AI Training
Japan Goes All In: Copyright Doesn't Apply To AI Training
Training data can be used "regardless of whether it is for non-profit or commercial purposes, whether it is an act other than reproduction, or whether it is content obtained from illegal sites or otherwise."
·technomancers.ai·
Japan Goes All In: Copyright Doesn't Apply To AI Training
SevaSk/ecoute: Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
SevaSk/ecoute: Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
·github.com·
SevaSk/ecoute: Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.
Lawyer cites fake cases invented by ChatGPT, judge is not amused
Lawyer cites fake cases invented by ChatGPT, judge is not amused
Legal Twitter is having tremendous fun right now reviewing the latest documents from the case Mata v. Avianca, Inc. (1:22-cv-01461). Here’s the best summary as to what has happened: So, …
·simonwillison.net·
Lawyer cites fake cases invented by ChatGPT, judge is not amused
MIT MAS.S68!
MIT MAS.S68!
Generative AI for Constructive Communication Course
·ai4comm.media.mit.edu·
MIT MAS.S68!