How likely are AI doomsday scenarios? I spoke at the US Senate AI Insight forum organized by Senators Chuck Schumer (D-NY), Martin Heinrich (D-NM), Mike Rounds (R-SD), and Todd Young (R-IN), and explained why I think they're very unlikely. AI systems aligned with RLHF already
RESEARCH
-
SQL Research Assistant: Complex Question Answering Over Data Tables
By
–
SQL Research Assistant Lots of data is locked in SQL tables Most text-to-SQL apps try to convert a user question to a single SQL statement – but that often isn't enough for complex questions So how we enable more complex question answering over SQL tables? We've
-
Quantizing Large LLMs Without Performance Drop
By
–
How do you quantize LLMs with tens of billions of parameters while avoiding the sharp drop in performance seen when quantizing models > 6B params?
— Cohere (@cohere) 19 décembre 2023
Listen to @aahmadian_ highlight a correct training optimization recipe (which leads to no drop in performance when quantizing vs. a… pic.twitter.com/iU1mliAjelHow do you quantize LLMs with tens of billions of parameters while avoiding the sharp drop in performance seen when quantizing models > 6B params? Listen to @aahmadian_ highlight a correct training optimization recipe (which leads to no drop in performance when quantizing vs. a
-
AI Detectors Flawed: Misclassifying Non-Native English Writers
By
–
Top AI stories of 2023: New research found most AI detectors are flawed: They misclassify essays from non-native English writers as AI-generated. https://
stanford.io/3GQ5uIv -
AI Researcher Value Compared to H100 GPU Worth
By
–
“He’s a great AI researcher; he’s worth his weight in H100s.”
-
LMSYS Chatbot Arena Head-to-Head Comparison Discussion
By
–
this is a good point, for the head-to-head lmsys chatbot arena you are right!
-
LCM and Turbo Models Guide for Stable Diffusion
By
–
A new section in our stable diffusion guide – a one page explainer on LCM, LCM Loras and Turbo models: https://
replicate.com/guides/stable-
diffusion/turbo-and-latent-consistency
… -
GPT-4 Outperforms Gemini: Google’s AI Strategy Misstep
By
–
Seen a lot of evidence that GPT-4 crushes Gemini on all the head-to-head LM benchmarks. here's my theory about what went wrong: – chatGPT released
– google execs freak out
– google consolidates (integrates Deepmind, Brain)
– google assembles a giant team to build a single giant -
Data Science Core: Data and Science Fundamentals
By
–
Yeah, I have this radical idea that the *core* of Data Science is about two things: 1. Data
2. Science -
AI Models as Interns: Matching Capability to Cost Efficiency
By
–
“you have a range of AI interns… Some are brilliant generalists (the frontier models), but they are expensive and careful workers whose time is valuable. You also have a variety of less capable interns (the many open source and GPT-3.5 class models).” https://
oneusefulthing.org/p/an-ai-haunte
d-world
…