Synthetic Minds RSS

AI, Geoffrey Hinton, Ilya Sutskever, Neuroplasticity, Neuroscience -

Geoffrey Hinton | Collaboration with Ilya, problem-solving, and the impact of intuition on AI

Geoffrey Hinton | Collaboration with Ilya, problem-solving, and the impact of intuition on AI
Timestamps Early inspirations (00:00:00) Meeting Ilya Sutskever (00:05:05) Ilya’s intuition (00:06:12) Understanding of LLMs (00:09:00) Scaling neural networks (00:15:15) What is language? (00:18:30) The GPU revolution (00:21:35) Human Brain Insights (00:25:05) Feelings & analogies (00:29:05 Problem selection (00:32:58) Gradient processing (00:35:21) Ethical implications (00:36:52) Selecting talent (00:40:15) Developing intuition (00:41:49) The road to AGI (00:43:50) Proudest moment (00:45:00)

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Agentic AI, AI, AI Ethics, AI Models, Synthetic Intelligence, Synthetic Mind, TrustLLM -

TrustLLM: Robustness

Abstract Introduction Background Trust LLM Preliminaries  Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics  Transparency AccountabilityOpen Challenges Future WorkConclusions

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Abundance, Abundance Society, AGI, Cognition Services, Synthetic Intelligence, Synthetic Mind, UBI -

The future of human labor in the age of AGI

The future of human labor in the age of AGI

#AbundanceSociety2040 #UBI #ManualLabor #CognitionServices #SyntheticMind The future of human labor in the age of AGI and automation, as discussed in the articles from Digital Habitats, suggests significant shifts in both manual and cognitive work. Automation and AI advancements are predicted to take over a substantial portion of human jobs within the next 5 to 20 years. This transition could lead to increased efficiency and productivity, but also raises concerns about job displacement and economic disruption. The challenge will be to reimagine our relationship with labor and work, possibly leading to a post-labor economy where human creativity and innovation are directed...

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LLM Contamination 🪲 How LLaMA 13b "BEAT" GPT4

LLM Contamination 🪲 How LLaMA 13b "BEAT" GPT4
Let's explore LLM contamination and how we can make a LLaMA 13b model perform better than GPT4 against the most common benchmarks while avoiding contamination detection. Enjoy :) Get Cody, the free AI coding assistant, to fix bugs and complete code for you in seconds! https://bit.ly/3RFYi89 Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Subscribe to my Substack 🗞️ - https://matthewberman.substack.com/ Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Need AI Consulting? ✅ - https://forwardfuture.ai/ Links: https://lmsys.org/blog/2023-11-14-llm-decontaminator/

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Mixtral 8x7B - Mixture of Experts DOMINATES Other Models (Review, Testing, and Tutorial)

Mixtral 8x7B - Mixture of Experts DOMINATES Other Models (Review, Testing, and Tutorial)
MistralAI is at it again. They've released an MoE (mixture of experts) model that completely dominates the open-source world. Here's a breakdown of what they released, plus an installation guide and an LLM test.

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