With AGI : 10% probability of dying. Without AGI : 100% probability of dying. #AGIFirst
RESEARCH
-
The K-T Boundary: Archiving the Human-AI Content Divide
By
–
Now would be the time for archivists and librarians to begin separating out post-2022 written and visual work from what was produced before. As I saw once on Twitter, "this is the K-T boundary of information." Anything afterwards is increasingly unlikely to be made by humans.
-
AI-generated face blending and data privacy concerns
By
–
It *could* technically be unrecognisable blend of faces with infinitesimally small contributions from the input data. But it would look average and suspicious…
-
Major disruption from scaling alternative generation techniques
By
–
Yes, this is exactly what the quoted passage says. It would likely a few years of major disruption while techniques to generate alternatives were scaled up. But the disruption would be pretty catastrophic.
-
Emergent LLM Abilities: Gradual Path to AGI
By
–
When we get to AGI, it will have come slowly, not overnight. A NeurIPS Outstanding Paper award recipient, Are Emergent Abilities of Large Language Models a Mirage? (by @RylanSchaeffer
, @BrandoHablando
, @sanmikoyejo
) studies emergent properties of LLMs, and concludes: "… -
Why Fictional AI Differs Radically From Real AI Systems
By
–
The fact that our current form of AI is so different from the AIs in science fiction blinds our imagination. In fiction, AIs are cold calculating machines driven by logic (unless you make them go insane by giving them a paradox). We have warm, weird, fallible, gullible systems.
-
Fake AI-Generated Biography Floods Amazon With Misinformation
By
–
Apparently I have an unauthorized biography that is 100% made up AI stuff, 118 pages of looping & repeating vagueness without any true facts. Just my official school biography used as a prompt. It manages to be both insane and boring. Amazon is getting completely overwhelmed.
-
Training LLMs from Ground Zero: Compute Procurement Insights
By
–
Amazing new blogpost by @YiTayML on training LLMs in the wilderness from the ground up Blog post link https://
yitay.net/blog/training-
great-llms-entirely-from-ground-zero-in-the-wilderness
… *****************
In this blog post, he discussed:
1. Experiences in procuring compute & variance in different compute providers. Our -
ProteinDT and MoleculeSTM Featured in AI Research
By
–
Thank you for featuring ProteinDT and MoleculeSTM @Shengchao_Liu
-
Understanding Deep Learning: Comprehensive eBook Guide Released
By
–
[Download 541-page PDF eBook] Understanding #DeepLearning: http://
udlbook.github.io/udlbook/ by @SimonPrinceAI V/ @KirkDBorne #AI #artificialintelligence #genai #BigData #DataScience #LLM #ML #MachineLearning #NeuralNetworks #ReinforcementLearning #NLProc #ComputerVision #Algorithms