Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Introducing "Truth Chain." A real-time polling solution to log controversial responses across major LLMs to the blockchain. The objective is continuous accountability and measurement of which LLMs are being tampered with for political purposes. cc Elon Musk

Rex St. John

50,580 subscribers

210,970 views • 1 year ago •via X (Twitter)

Science & Technology News & Politics

Anya Rossi• Live Now

Private livecam show

10 Comments

Renaissance1 year ago

@elonmusk So it’s essentially community notes for LLMs?

Rex St. John1 year ago

@elonmusk correct

d’admi smalls1 year ago

@elonmusk the madman just before Christmas delivered the biggest gift of all

Rex St. John1 year ago

@alexc_xyz @elonmusk cant sleep clowns will eat me

Sweep1 year ago

@elonmusk intresting

Alex1 year ago

@elonmusk $TRUTH shall prevail

SavageBoy1 year ago

@elonmusk genius

🧧꧁Zen꧂🧧1 year ago

@elonmusk @opus_genesis would you wanna collaborate with @rexstjohn alongside @veryvanya on the community note LLMs

Mark1 year ago

@0xRenaissance @elonmusk Hahaha I know man. Just teasing. Excited to follow what you’re building!

matthew bernal1 year ago

@elonmusk 2GmUPhpe93kcTJZrC7NJ2keeDZRT5dBveUgegb13pump

Related Videos

Elon Musk: "The biggest thing for the development of AI is that it be maximally truth-seeking… But what I see being done with a lot of the major AI companies is not truth-seeking. They're aiming to be politically correct, which means lying, essentially."

Elon Musk: "The biggest thing for the development of AI is that it be maximally truth-seeking… But what I see being done with a lot of the major AI companies is not truth-seeking. They're aiming to be politically correct, which means lying, essentially."

Thomas Sowell Quotes

19,033 views • 2 months ago

Today, we are announcing the launch of a blockchain-secured supply chain initiative to safeguard our product-related data. Decentralizing our inventory tracking system on blockchain offers enhanced transparency, security, and real-time visibility across the entire supply chain. Learn more:

Today, we are announcing the launch of a blockchain-secured supply chain initiative to safeguard our product-related data. Decentralizing our inventory tracking system on blockchain offers enhanced transparency, security, and real-time visibility across the entire supply chain. Learn more:

KULR Technology

20,753 views • 1 year ago

Crazy times. Journalists are losing their jobs at a rapid rate - and are being hired to run RLHF. Ex-journalists are training LLMs to make journalists redundant even faster. The question is how long LLMs will even need RLHF to this extent.

Crazy times. Journalists are losing their jobs at a rapid rate - and are being hired to run RLHF. Ex-journalists are training LLMs to make journalists redundant even faster. The question is how long LLMs will even need RLHF to this extent.

Chubby♨️

41,645 views • 1 year ago

Enterprises are spending millions on DIY AI and copilots— and have yet to see the return. The truth is, LLMs alone are not the answer. Agentforce delivers a complete AI system for your success:

Enterprises are spending millions on DIY AI and copilots— and have yet to see the return. The truth is, LLMs alone are not the answer. Agentforce delivers a complete AI system for your success:

Salesforce

26,787 views • 1 year ago

I'm exploring running LLMs locally on iPhones and Macs. I’ve got Llama 3.2 running locally using Apple’s MLX and with support for tool calling. This example runs two LLMs: one to identify tools to call based on the query and one to generate responses based on the tools’ outputs.

I'm exploring running LLMs locally on iPhones and Macs. I’ve got Llama 3.2 running locally using Apple’s MLX and with support for tool calling. This example runs two LLMs: one to identify tools to call based on the query and one to generate responses based on the tools’ outputs.

Simon B. Støvring

47,972 views • 1 year ago

90% of AI products fail in the first month. It's not bad models but bad prompts. Adaline AI is a platform to create prompts, test across models and modalities, integrate tools, evaluate performance, and deploy with real-time monitoring. Find the best prompt for your LLMs...👇

90% of AI products fail in the first month. It's not bad models but bad prompts. Adaline AI is a platform to create prompts, test across models and modalities, integrate tools, evaluate performance, and deploy with real-time monitoring. Find the best prompt for your LLMs...👇

Akshay 🚀

46,821 views • 1 year ago

📁 Yann LeCun explains that LLMs work well when problems are symbolic, like math, code or chess, where searching through known sequences is enough. But the real world does not work that way. Physical action, planning and understanding what is possible require continuous intuition, which LLMs lack. Manipulating symbols is not the same as understanding reality.

📁 Yann LeCun explains that LLMs work well when problems are symbolic, like math, code or chess, where searching through known sequences is enough. But the real world does not work that way. Physical action, planning and understanding what is possible require continuous intuition, which LLMs lack. Manipulating symbols is not the same as understanding reality.

Jon Hernandez

42,638 views • 6 months ago

INEC Nigeria The statement made by Festus Okoye assures Nigerians that the polling unit results, which were issued to political parties, are safe on both the BVAS and IREV portal and cannot be tampered with. 1/5

INEC Nigeria The statement made by Festus Okoye assures Nigerians that the polling unit results, which were issued to political parties, are safe on both the BVAS and IREV portal and cannot be tampered with. 1/5

IPC Justice

47,501 views • 3 years ago

Introducing 🌈 Rainbow Teaming, a new method for generating diverse adversarial prompts for LLMs via LLMs It's a versatile tool 🛠️ for diagnosing model vulnerabilities across domains and creating data to enhance robustness & safety 🦺 Co-lead w/ Sharath Raparthy & Andrei Lupu

Introducing 🌈 Rainbow Teaming, a new method for generating diverse adversarial prompts for LLMs via LLMs It's a versatile tool 🛠️ for diagnosing model vulnerabilities across domains and creating data to enhance robustness & safety 🦺 Co-lead w/ Sharath Raparthy & Andrei Lupu

Mikayel Samvelyan

56,409 views • 2 years ago

English Is The New SQL LLMs have made it easy for everyone to create on-the-fly dashboards and plots. You can connect to your database and then use a SOTA LLM like 4o, Opus, or Gemini to generate SQL and Python code to create on-the-fly dashboards and plots. ChatLLM makes it possible across all state-of-the-art LLMs -

English Is The New SQL LLMs have made it easy for everyone to create on-the-fly dashboards and plots. You can connect to your database and then use a SOTA LLM like 4o, Opus, or Gemini to generate SQL and Python code to create on-the-fly dashboards and plots. ChatLLM makes it possible across all state-of-the-art LLMs -

Bindu Reddy

50,564 views • 2 years ago

OpenLedger Mainnet is Now Live OpenLedger is now the chain where builders can launch next-generation on-chain platforms. From core infrastructure to new digital economies, The entire stack is OPEN for teams ready to launch, scale, and innovate on top of OpenLedger Blockchain. With Blockchain Enabling AI Fairness On-Chain across the web3, this is where the future of AI and blockchain is defined, and the next chapter of on-chain intelligence begins.

OpenLedger Mainnet is Now Live OpenLedger is now the chain where builders can launch next-generation on-chain platforms. From core infrastructure to new digital economies, The entire stack is OPEN for teams ready to launch, scale, and innovate on top of OpenLedger Blockchain. With Blockchain Enabling AI Fairness On-Chain across the web3, this is where the future of AI and blockchain is defined, and the next chapter of on-chain intelligence begins.

Openledger Foundation

223,949 views • 7 months ago

$Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. Subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.$

Introducing SubQ - a major breakthrough in LLM intelligence. It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA), And the first frontier model with a 12 million token context window which is: - 52x faster than FlashAttention at 1MM tokens - Less than 5% the cost of Opus Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention). Only a small fraction actually matter. Subquadratic finds and focuses only on the ones that do. That's nearly 1,000x less compute and a new way for LLMs to scale.

Alexander Whedon

13,177,330 views • 2 months ago

Building with LLMs on BNB Chain just got easier. This tutorial walks through MCP setup and shows how to connect LLMs, such as Claude/@openai, to onchain agents and workflows. Watch the tutorial by our DevRel, gwen.eth 👇

Building with LLMs on BNB Chain just got easier. This tutorial walks through MCP setup and shows how to connect LLMs, such as Claude/@openai, to onchain agents and workflows. Watch the tutorial by our DevRel, gwen.eth 👇

BNB Chain Developers

27,076 views • 3 months ago

Maye Musk "Being a Mom is a real job that deserves major respect" - Elon Musk Thanks maye for cultivating such an excellent and great leader for humanity. Elon will lead humanity to create an exciting future.

Maye Musk "Being a Mom is a real job that deserves major respect" - Elon Musk Thanks maye for cultivating such an excellent and great leader for humanity. Elon will lead humanity to create an exciting future.

MarsX

185,960 views • 1 year ago

NEW: Democrats have launched a coordinated campaign with help from the media to drive a wedge between Elon Musk and Donald Trump. They see how influential X is and are trying to sabotage it. Don't fall for it. At the exact same time, every major Democrat leader is now referring to Elon Musk as "President Musk," in an effort to upset Trump and get him to distance himself from Musk.

NEW: Democrats have launched a coordinated campaign with help from the media to drive a wedge between Elon Musk and Donald Trump. They see how influential X is and are trying to sabotage it. Don't fall for it. At the exact same time, every major Democrat leader is now referring to Elon Musk as "President Musk," in an effort to upset Trump and get him to distance himself from Musk.

Collin Rugg

256,754 views • 1 year ago

A 4-year-old child has seen 50x more information than the biggest LLMs. Yann LeCun is the Chief AI Scientist at Meta. He recently spoke on “The Expanding Universe of Generative Models” panel at the World Economic Forum in Davos. Yann highlighted the idea that a 4-year-old child is way smarter than current cutting-edge large language models (LLMs). “Think about what a child sees through vision. Put a number on how much information a 4-year-old child has seen during their life. It’s 20 Mbps going through the optical nerve for 16,000 wake hours in the first 4 years of life. 3,600 seconds per hour is 10^15 bytes. This is 50x more information than the biggest LLMs we have. A 4-year-old child is way smarter than these models having acquired an enormous amount of knowledge about how the world works.” The real constraint right now is the ability of LLMs to think. Today, LLMs are only capable of System 1 thinking. System 1 vs System 2 thinking was popularised in the book 'Thinking, Fast and Slow' by Daniel Kahneman. System 1 tasks involve quick, instinctive, automatic responses. LLMs struggle with discontinuous tasks that require a creative leap in progress as they imitate human responses. It's hard to go above human response accuracy if LLMs are only trained on humans. Models are building the track in front of them with each word being generated. What could it mean to give language models System 2 thinking? This remains a future development I'm excited about.

A 4-year-old child has seen 50x more information than the biggest LLMs. Yann LeCun is the Chief AI Scientist at Meta. He recently spoke on “The Expanding Universe of Generative Models” panel at the World Economic Forum in Davos. Yann highlighted the idea that a 4-year-old child is way smarter than current cutting-edge large language models (LLMs). “Think about what a child sees through vision. Put a number on how much information a 4-year-old child has seen during their life. It’s 20 Mbps going through the optical nerve for 16,000 wake hours in the first 4 years of life. 3,600 seconds per hour is 10^15 bytes. This is 50x more information than the biggest LLMs we have. A 4-year-old child is way smarter than these models having acquired an enormous amount of knowledge about how the world works.” The real constraint right now is the ability of LLMs to think. Today, LLMs are only capable of System 1 thinking. System 1 vs System 2 thinking was popularised in the book 'Thinking, Fast and Slow' by Daniel Kahneman. System 1 tasks involve quick, instinctive, automatic responses. LLMs struggle with discontinuous tasks that require a creative leap in progress as they imitate human responses. It's hard to go above human response accuracy if LLMs are only trained on humans. Models are building the track in front of them with each word being generated. What could it mean to give language models System 2 thinking? This remains a future development I'm excited about.

Alex Banks

22,958 views • 2 years ago

Introducing Frontier Palantir for LLMs

Introducing Frontier Palantir for LLMs

Arav Kumar

64,097 views • 9 months ago