Alignment and Stability's Approach

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

All technology is biased and all is a function of its training data and the creator, especially this. It's not possible to have an unbiased AI because these learn principles are what we have different from nature and duration. My take was to move away from scrapes. I think alignment should be focused on the upstream versus downstream. The data that goes inside how you feed the model, how you teach the model, as opposed to the actions of the model.

In this episode of the Delphi podcast, host Tommy interviews Emad, the CEO of Stability.ai, an open source AI company dedicated to democratizing access to AI tech. Emad explains how his company handles the rapidly evolving field of AI and machine learning, including their curation filtering priority setting process and the importance of building all types of models. The discussion also touches on the potential threat of artificial general intelligence to humanity.

[00:01:32] Artificial General Intelligence.

[00:04:11] Misaligned AI and ISIS.

[00:07:26] Need for decentralization in AI.

[00:11:17] Optimizing data for aligned AI.

[00:13:46] Culture-specific AI models.

[00:17:53] Standardized models for intelligence.

[00:21:19] OpenAI's objectives and actions.

[00:24:07] AGI vs. productivity.

[00:30:07] The era of big models.

[00:30:51] AI's mind-boggling compression.

[00:36:37] Education with AI tablets.

[00:38:31] AI's emergent behavior.

[00:41:02] AI and Government Control.

[00:44:53] New definition of intelligence.

[00:48:45] The AI Bubble.

[00:52:23] Impact of AI on economy.

Socials

Recent Articles to Note

Disclosures

Disclosures: This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token. Delphi’s transparency page can be viewed ⁠here⁠.

Keywords

Stability.ai, open source AI, machine learning, text to image AI, artificial general intelligence.,AGI, dangers, AIs, humans, fake news,AI, education, healthcare, productivity gains, unemployment, panopticon, centralized control, propaganda, metaverse, regulations, government control, decentralization, distribution, Internet 2.,Google, Microsoft, Meta, AI, China Social Credit Score System.,entity, alignment, national models, data sets, AGI.,information rails, Reddit, structured data sets, AI, business model,data center, cloud, partnerships, revenue, open auditable AI,Google Search, standardized models, primitive building blocks, custom model creation, Amazon SageMaker.,models, business, culture, library, AGI,education, healthcare, AGI, automation, open source A.I.,Amazon, supercomputer, petaflops, ranking, infrastructure.,technology, deals, GPUs, super compute, partners,stable diffusion, clusters, optimization, speed, size,language, AI, productivity, scalability, data,GPT-4, compute, training, language models, productivity increase.,supercomputer, AI, training, terrorism, model weights,Iran, nuclear weapon, technology, AI, government.,GPUs, data, compute, intelligence, deep learning,protests, deep learning models, AGI, swarm intelligence, AI bubble,investing, business model, AI, finance, moats,AI startups, SaaS revenue, exit, Stability, Web3 chains, infrastructure, consolidation waves, CACLTVs, open side, production models.