That has been one of my main arguments for years: AI systems need to learn how the world works from sensory inputs (e.g. visual inputs).
AI
-
LLMs Struggle With Logical Equivalence in Prompts
By
–
That statement is easily retrived.
But tests have shown that when faced with a situation in which the answer requires to know that B is the same as A, when the prompt clearly says that A is the same as B, the best LLMs often don't answer correctly. -
Human Genome Storage Capacity vs LLM Requirements Analysis
By
–
I'm not.
There just isn't enough capacity in the genome.
Your entire genome fits in 800MB (uncompressed).
The difference between the human and chimp genomes is 1% of that, or 8MB.
Not enough to encode a significant structure.
For comparison, a small 7B LLM requires 14GB. -
A* Search Without Expansions: Deep Q-Networks Heuristics
By
–
A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks Agostinelli et al.: https://
arxiv.org/abs/2102.04518 #ArtificialIntelligence #DeepQNetworks #ReinforcementLearning -
Implementing Llama from Scratch: A Practical Guide
By
–
Llama from scratch (or how to implement a paper without crying) https://
bit.ly/3PmBVCi #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Dystopian AI Takeover Narrative Remains Timeless Cliché
By
–
The dystopian fantasy of machines taking over humanity is so old that it's a cliché.
-
LLMs lack basic logical reasoning despite massive training data
By
–
Current LLMs are trained on text data that would take 20,000 years for a human to read.
And still, they haven't learned that if A is the same as B, then B is the same as A.
Humans get a lot smarter than that with comparatively little training data.
Even corvids, parrots, dogs, -
Google Meet adds AI-powered hand gesture detection
By
–
Google Meet introduces a new hand gesture detection feature that can recognize when users physically raise their hand during a video call.
— AI Breakfast (@AiBreakfast) 23 novembre 2023
In case anyone at OpenAI was curious. pic.twitter.com/cm5leI3xKyGoogle Meet introduces a new hand gesture detection feature that can recognize when users physically raise their hand during a video call. In case anyone at OpenAI was curious.
-
AutoTrain Local Training Feature Coming Next Week
By
–
Training locally available in AutoTrain next week!
-
MetaLearning Enables AI Agents Rapid Adaptation to New Environments
By
–
[ MetaLearning.eth ] METALEARNING enables #AIAgents to “learn to learn”, allowing them to rapidly adapt to new environments. Asset: https://
opensea.io/assets/ethereu
m/0x57f1887a8bf19b14fc0df6fd9b2acc9af147ea85/28653756243418125983896305525248630918490602894709024564651983387428933128798
… http://
MONTREAL.AI: Winning the #AGI Race MetaLearning.Eth #MetaLearning #MontrealAI