SingularityNET - A Decentralized, Open Market and Network for AIs (Whitepaper Explained)

Subscribers:
284,000
Published on ● Video Link: https://www.youtube.com/watch?v=yFAuXmcGk2Y



Duration: 52:09
17,084 views
559


#ai #research #blockchain

Big Tech is currently dominating the pursuit of ever more capable AI. This happens behind closed doors and results in a monopoly of power. SingularityNET is an open, decentralized network where anyone can offer and consume AI services, and where AI agents can interlink with each other to provide ever more sophisticated AI, with the goal to create a singularity that's beneficial for humanity. This video takes a look at the basics behind SingularityNET and some of its core components.

OUTLINE:
0:00 - Intro & Overview
2:55 - Document Summarization Example Workflow
5:50 - Why AI needs a Marketplace?
9:20 - A network of APIs
12:30 - AI Evaluators & Matchmakers
15:00 - My criticisms of the Marketplace
17:45 - What is on the Blockchain?
20:45 - AI Marketplace Demo
22:00 - The AGI Token & Inflation
26:30 - Reputation System & other features
30:00 - Democratic Governance
33:00 - Benefit Tasks
36:15 - My general thoughts on the application examples
38:05 - Measuring Intelligence on SingularityNET
45:15 - OfferNet Economy
50:00 - Summary & Comments

Whitepaper: https://public.singularitynet.io/whitepaper.pdf
Website: https://singularitynet.io/
AI Marketplace: https://beta.singularitynet.io/aimarketplace

References:
https://www.hansonrobotics.com/wp-content/uploads/2018/12/Using-Tononi-Phi-to-Measure-Consciousness-of-a-Cognitive-System-While-Reading-and-Conversing.pdf
https://arxiv.org/pdf/1601.02626.pdf
https://blog.singularitynet.io/singularitynet-the-past-the-present-and-the-future-7bacb2b8e7f0
https://blog.singularitynet.io/singularitynet-supervisory-council-e7c513fd3ea6
https://blog.singularitynet.io/singularitynet-phase-two-massive-token-utilization-toward-decentralized-beneficial-agi-6e3ac5a5b44a

ADDENDUM:
I forgot to mention one important example for the utility of dynamic matchmaking: If I have a German text to summarize, and there is a German summarizer, but there is also a better English one, a clever AI could figure out for me whether to use the German one or whether to use a translator to English, then the English summarizer, then a backtranslator. And it could even do so depending on the input text.

Abstract:
[...] Most AI research today is controlled by a handful of corporations—those with
the resources to fund development. Independent developers of AI tools have no
readily available way to monetize their creations. Usually, their most lucrative
option is to sell their tool to one of the big tech companies, leading to control of
the technology becoming even more concentrated. SingularityNET’s open-source
protocol and collection of smart contracts are designed to address these problems.
Developers can launch their AI tools on the network, where they can interoperate
with other AIs and with paying users.
Not only does the SingularityNET platform give developers a commercial
launchpad (much like app stores give mobile app developers an easy path to
market), it also allows the AIs to interoperate, creating a more synergistic, broadly
capable intelligence. For example, if a text-to-speech AI and an Italian-to-English
translation AI were both on the network, then the network as a whole would be
capable of using Italian text to produce English speech.
Within this framework, AI transforms from a corporate asset to a global
commons; anyone can access AI tech or become a stakeholder in its development.
Also, anyone can add an AI/machine learning service to SingularityNET for use
by the network and receive network payment tokens in exchange. [...]


Links:
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://discord.gg/4H8xxDF
BitChute: https://www.bitchute.com/channel/yannic-kilcher
Minds: https://www.minds.com/ykilcher
Parler: https://parler.com/profile/YannicKilcher
LinkedIn: https://www.linkedin.com/in/yannic-kilcher-488534136/
BiliBili: https://space.bilibili.com/1824646584

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
SubscribeStar: https://www.subscribestar.com/yannickilcher
Patreon: https://www.patreon.com/yannickilcher
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq
Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2
Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m
Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n




Other Videos By Yannic Kilcher


2021-03-05Multimodal Neurons in Artificial Neural Networks (w/ OpenAI Microscope, Research Paper Explained)
2021-02-27GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)
2021-02-26Linear Transformers Are Secretly Fast Weight Memory Systems (Machine Learning Paper Explained)
2021-02-25DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Machine Learning Paper Explained)
2021-02-19Dreamer v2: Mastering Atari with Discrete World Models (Machine Learning Research Paper Explained)
2021-02-17TransGAN: Two Transformers Can Make One Strong GAN (Machine Learning Research Paper Explained)
2021-02-14NFNets: High-Performance Large-Scale Image Recognition Without Normalization (ML Paper Explained)
2021-02-11Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention (AI Paper Explained)
2021-02-04Deep Networks Are Kernel Machines (Paper Explained)
2021-02-02Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained)
2021-01-29SingularityNET - A Decentralized, Open Market and Network for AIs (Whitepaper Explained)
2021-01-22Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
2021-01-17STOCHASTIC MEME DESCENT - Deep Learning Meme Review - Episode 2 (Part 2 of 2)
2021-01-12OpenAI CLIP: ConnectingText and Images (Paper Explained)
2021-01-06OpenAI DALL·E: Creating Images from Text (Blog Post Explained)
2020-12-26Extracting Training Data from Large Language Models (Paper Explained)
2020-12-24MEMES IS ALL YOU NEED - Deep Learning Meme Review - Episode 2 (Part 1 of 2)
2020-12-16ReBeL - Combining Deep Reinforcement Learning and Search for Imperfect-Information Games (Explained)
2020-12-132M All-In into $5 Pot! WWYD? Daniel Negreanu's No-Limit Hold'em Challenge! (Poker Hand Analysis)
2020-12-01DeepMind's AlphaFold 2 Explained! AI Breakthrough in Protein Folding! What we know (& what we don't)
2020-11-29Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)



Tags:
deep learning
machine learning
arxiv
explained
neural networks
ai
artificial intelligence
paper
singularity
singularitynet
agi
ben goertzel
goertzel
hanson
hanson robotics
sophia
network
api
offercoin
offernetworks
offer networks
offer coin
agi token
erc20
ethereum
cardano
governance
benefit
reputation
reputation system
liquid rank
liquidrank
deoldify
inflation
ico
matchmaking
graph
opencog
open cog
tontoni phi
intelligence
artificial general intelligence
blockchain