Podcast · 156 episodes on record

Switched to Claude 3.5

Published

July 3, 2024

Length

6 min

Position

36 of 156

July 3, 2024

Switched to Claude 3.5

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Nathan Lambert Episodes Around July 3, 2024

Episode 36 of 156 — walk the feed in the order it was published.

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Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws

Jun 27, 2024

6:39This episode

Switched to Claude 3.5

Jul 3, 2024

14:19

SB 1047, AI regulation, and unlikely allies for open models

Jul 17, 2024

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Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem

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Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

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Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents

Aug 8, 2024

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Nous Hermes 3 and exploiting underspecified evaluations

Aug 16, 2024

8:00

On the current definitions of open-source AI and the state of the data commons

Aug 28, 2024

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OLMoE and the hidden simplicity in training better foundation models

Sep 4, 2024

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OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

Sep 5, 2024

5:38

A post-training approach to AI regulation with Model Specs

Sep 10, 2024

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Futures of the data foundry business model

Sep 11, 2024

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[Article Voiceover] Reverse engineering OpenAI's o1

Sep 17, 2024

14:04

[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

Sep 27, 2024

1:08:39

Interviewing Riley Goodside on the science of prompting

Sep 30, 2024

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Summary

I Switched to Claude 3.5 Speculations on the role of RLHF and why I love the model for people who pay attention. This is AI generated audio with Python and 11Labs. Source code: <a class="linkified" href="https://github.com/natolambert/interconnects-tools" target="_blank">https://github.com/natolambert/interconnects-tools</a> Original post: <a class="linkified" href="https://www.interconnects.ai/p/switched-to-claude-from-chatgpt" target="_blank">https://www.interconnects.ai/p/switched-to-claude-from-chatgpt</a>00:00 I Switched to Claude 3.5 03:57 Product priorities 05:15 RLHF's peak?Fig 1: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_016.png" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_016.png</a> Fig 2: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_018.png" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_018.png</a> Fig 3: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_020.png" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_020.png</a> Fig 4: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_022.png" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/claude/img_022.png</a> This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://www.interconnects.ai/subscribe?utm_medium=podcast&utm_campaign=CTA_2">www.interconnects.ai/subscribe</a>

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← All episodes from Nathan Lambert

Switched to Claude 3.5

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Nathan Lambert Episodes Around July 3, 2024

Stop "reinventing" everything to "solve" alignment

Llama 3: Scaling open LLMs to AGI

AGI is what you want it to be

Phi 3 and Arctic: Outlier LMs are hints

RLHF: A thin line between useful and lobotomized

OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions

OpenAI chases Her

Name, image, and AI's likeness

We aren't running out of training data, we are running out of open training data

A realistic path to robotic foundation models

AI for the rest of us

Text-to-video AI is already abundant

Frontiers in synthetic data

RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition

Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws

Switched to Claude 3.5

SB 1047, AI regulation, and unlikely allies for open models

Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem

GPT-4o-mini changed ChatBotArena

Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

A recipe for frontier model post-training

Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents

Nous Hermes 3 and exploiting underspecified evaluations

On the current definitions of open-source AI and the state of the data commons

OLMoE and the hidden simplicity in training better foundation models

OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

A post-training approach to AI regulation with Model Specs

Futures of the data foundry business model

[Article Voiceover] Reverse engineering OpenAI's o1

[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

Interviewing Riley Goodside on the science of prompting

Summary