Podcast · 156 episodes on record

OpenAI chases Her

Published

May 16, 2024

Length

12 min

Position

27 of 156

May 16, 2024

OpenAI chases Her

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Nathan Lambert Episodes Around May 16, 2024

Episode 27 of 156 — walk the feed in the order it was published.

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17:16

Google ships it: Gemma open LLMs and Gemini backlash

Feb 22, 2024

10:46

How to cultivate a high-signal AI feed

Feb 28, 2024

1:26:28

Interviewing Louis Castricato of Synth Labs and Eleuther AI on RLHF, Gemini Drama, DPO, founding Carper AI, preference data, reward models, and everything in between

Mar 4, 2024

23:06

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

May 13, 2024

12:28This episode

OpenAI chases Her

May 16, 2024

9:03

Name, image, and AI's likeness

May 22, 2024

8:29

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

May 29, 2024

7:49

A realistic path to robotic foundation models

Jun 5, 2024

12:35

AI for the rest of us

Jun 12, 2024

8:18

Text-to-video AI is already abundant

Jun 18, 2024

11:27

Frontiers in synthetic data

Jun 21, 2024

11:51

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

Jun 26, 2024

56:30

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

6:39

Switched to Claude 3.5

Jul 3, 2024

14:19

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

Jul 17, 2024

15:22

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

Jul 23, 2024

7:55

GPT-4o-mini changed ChatBotArena

Jul 31, 2024

1:03:42

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

Aug 1, 2024

10:23

A recipe for frontier model post-training

Aug 7, 2024

1:02:22

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

Aug 8, 2024

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Summary

ChatGPT leaves the textbox, and Google is building the same, and more, as practical tools. 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/openai-and-her" target="_blank">https://www.interconnects.ai/p/openai-and-her</a>00:00 OpenAI chases Her 02:10 Talking to ChatGPT 03:53 GPT-4o: Toward omnimodal models 08:25 Google's mirror with Gemini 10:11 OpenAI's AI Safety: Have your cake and eat it tooFig 1: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/her/img_018.png" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/her/img_018.png</a> Fig 2: <a class="linkified" href="https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/her/img_023.jpg" target="_blank">https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/her/img_023.jpg</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>

Episode details and artwork are published by the show’s own feed. Sentinel plays short cited excerpts and links every episode back to its publisher.

← All episodes from Nathan Lambert

OpenAI chases Her

Search the Record

Nathan Lambert Episodes Around May 16, 2024

Google ships it: Gemma open LLMs and Gemini backlash

How to cultivate a high-signal AI feed

Interviewing Louis Castricato of Synth Labs and Eleuther AI on RLHF, Gemini Drama, DPO, founding Carper AI, preference data, reward models, and everything in between

The koan of an open-source LLM

Model commoditization and product moats

Evaluations: Trust, performance, and price (bonus, announcing RewardBench)

DBRX: The new best open LLM and Databricks' ML strategy

Why we disagree on what open-source AI should be

The end of the "best open LLM"

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

Summary