Sam Altman was a force to be reckoned with as the president of Y Combinator. Little has changed in his transition to CEO of OpenAI, a “capped-profit” company whose mission it is to “enact a path to safe artificial general intelligence.” We talked at length about his work, OpenAI’s mission, and some of the criticisms that the young outfit is facing. We had fun, talking with him for this extended sit-down; hope you’ll enjoy it, too.
Posted in robotics/AI
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Music:
computer talk — austenyo.
OpenAI is the developer of a new AI program called ChatGPT, capable of writing and conversing very much like a human.
On the first task, the general impression from teachers was that at best it provided a framework but not the details for lesson planning. The same was said about the letter-writing capabilities of the tool, and the composing of a rubric. On providing feedback on student work, the response was less than impressed with the comments and grading. And on writing a letter of recommendation, the comments stated that what ChatGPT came up with was “far too generic.” So all in all, the current version of ChatGPT as a teaching aid seems underwhelming.
On the student work side, ChatGPT is far more problematic. Because ChatGPT can compose the kind of content it produced for me in the above example, teachers have expressed concern that the tool makes it easy for students to submit work they didn’t write.
Every year, the Stanford Institute for Human-Centered Artificial Intelligence (HAI) puts out its AI Index, a massive compendium of data and graphs that tries to sum up the current state of artificial intelligence. The 2022 AI Index, which came out this week, is as impressive as ever, with 190 pages covering R&D, technical performance, ethics, policy, education, and the economy. I’ve done you a favor by reading every page of the report and plucking out 12 charts that capture the state of play.
It’s worth noting that many of the trends I reported from last year’s 2021 index still hold. For example, we are still living in a golden AI summer with ever-increasing publications, the AI job market is still global, and there’s still a disconcerting gap between corporate recognition of AI risks and attempts to mitigate said risks. Rather than repeat those points here, we refer you to last year’s coverage.
The tech giant, Google, has clarified its position on AI-generated content, stating that content created solely for search engine rankings violates their guidelines; however, it is not an issue if created with people in mind.
ChatGPT, OpenAI’s newest model is a GPT-3 variant that has been fine-tuned using Reinforcement Learning from Human Feedback, and it is taking the world by storm!
Sponsor: Weights & Biases.
https://wandb.me/yannic.
OUTLINE:
0:00 — Intro.
0:40 — Sponsor: Weights & Biases.
3:20 — ChatGPT: How does it work?
5:20 — Reinforcement Learning from Human Feedback.
7:10 — ChatGPT Origins: The GPT-3.5 Series.
8:20 — OpenAI’s strategy: Iterative Refinement.
9:10 — ChatGPT’s amazing capabilities.
14:10 — Internals: What we know so far.
16:10 — Building a virtual machine in ChatGPT’s imagination (insane)
20:15 — Jailbreaks: Circumventing the safety mechanisms.
29:25 — How OpenAI sees the future.
References:
A new AI-assisted chatbot that can generate eerily fluent prose is only the latest in a long series of useful tech accessories.
The Memo: https://lifearchitect.ai/memo/
Read the paper: https://arxiv.org/abs/2212.08073
GitHub repo: https://github.com/anthropics/ConstitutionalHarmlessnessPaper/tree/main/samples.
Chapters:
0:00 Opening.
3:59 Demonstration.
11:26 Explanation.
Dr Alan D. Thompson is a world expert in artificial intelligence (AI), specialising in the augmentation of human intelligence, and advancing the evolution of ‘integrated AI’. Alan’s applied AI research and visualisations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021.
Posted in robotics/AI
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers.
📝 The paper “Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback” is available here:
https://www.deepmind.com/blog/building-interactive-agents-in-video-game-worlds.
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