The Quora Blog
While price per message is currently limited to creators in the US, we will be expanding to additional countries and regions soon. You can get started at poe.com/creators, or visit our Poe for Creators Resources to learn more about creating a bot. We look forward to seeing what you build and to sharing revenue with you for creating engaging bots on Poe!
AI for business: multiplying the impact of AI
As businesses adopt AI, a new era of problem-solving, innovation, and creative decision-making can be brought to scale. In this episode of Smart Talks with IBM, Malcolm Gladwell and Jacob Goldstein explore the future of AI for business with Kareem Yusuf, senior vice president of product management and growth for IBM software. They discuss the advent of foundation models, how AI can transform data storage and decision-making, and how next-generation AI platforms like watsonx can empower businesses to use AI at scale.
LinkedIn Co-Founder Reid Hoffman on the Future of AI
YouChat GPT-4 Summary:
The video features Reid Hoffman, co-founder of LinkedIn and Inflection AI, discussing various aspects of Artificial Intelligence (AI) and its impact on the digital economy. Here are the main points:
AI and the Digital Economy: Hoffman compares the potential of AI to a cognitive industrial revolution, emphasizing its ability to amplify human capabilities. He also highlights the importance of AI in various sectors, including education and healthcare.
AI Investments and Blitzscaling: Sharing his experiences in investing in AI companies, Hoffman emphasizes the importance of continuous learning, embracing chaos, and being prepared for rapid changes in leadership and organizational structure during periods of explosive growth.
Open Sourcing AI: While acknowledging the benefits of open sourcing for academic and entrepreneurial purposes, Hoffman expresses caution due to the potential for misuse by bad actors. He stresses the need to consider the potential negative impacts.
AI and the Future of Work: Hoffman discusses the potential impact of AI on the future of work. He suggests that while AI may replace certain tasks, it will also create new opportunities and transform existing jobs. He emphasizes the importance of being able to use AI in the future job market.
AI Policy and Regulation: Hoffman discusses the need for effective policy and regulation in the AI sector. He suggests that regulators should focus on defining desired outcomes and creating a learning ecosystem. He also highlights the importance of considering societal impacts when developing AI technologies.
How to UPGRADE iPad note taking (with Science)
Nonlinear. Networks. (How is this different from the knowledge graph? Some people also add icons and emotions for mnemonics. Others make menus by scanning the package labels rather than the dish photos so they get the ingredients, nutrients, and calories. Also fits into a spreadsheet. Food for chatbots. This was about Apple.)
What's the Best Way to Write Notes? @CajunKoiAcademy
0:00 Note-taking 0:16 How to take notes for a new class 0:59 What actually happens when you take notes 1:23 What good note taking looks like 2:30 Good note-taking allows for deep processing 4:20 Intuitive vs logical 7:23 Should I type or handwrite my notes? 12:48 How do you transition to freehand notes? 17:31 How can you tell if your notes are effective? 20:26 Getting questions right doesn't matter (An author wants to put the text in the right form for the reader to mull. Items and relations. The basis of mathematics. Symbolism influences ethos. Conversely, the goons can likely tell who is most likely to fail parole. Prisoner dilemma as group theory.)
nonlinear
How the Top 0.1% Learn in Lectures
03:36 The skills you NEED for learning in lectures
06:09 Learn to manage your cognitive load
09:15 What should I do before the lecture?
12:35 The best questions to ask during the lecture
17:12 Filtering information during the lecture
(Does this apply to juries?)
03:36 The skills you NEED for learning in lectures
06:09 Learn to manage your cognitive load
09:15 What should I do before the lecture?
12:35 The best questions to ask during the lecture
17:12 Filtering information during the lecture
The Three Horizons of AI Policy
In this episode, we discuss a framework for understanding the rapidly changing AI policy landscape (0:53), the first-of-its-kind U.S. and U.K. partnership on AI Safety (8:20), Open AI's Voice Engine system (10:53), OMB's latest AI policy announcement (18:00), and Mexico's new role in AI infrastructure (21:50).
In this episode, we discuss a framework for understanding the rapidly changing AI policy landscape (0:53), the first-of-its-kind U.S. and U.K. partnership on AI Safety (8:20), Open AI's Voice Engine system (10:53), OMB's latest AI policy announcement (18:00), and Mexico's new role in AI infrastructure (21:50).
MIT Robotics - Russ Tedrake - Planning with Graphs of Convex Sets (in the age of foundation models)
Google Gemini summary: According to the video, the lesson learned from the talk is that planning and learning are complementary to each other and both are necessary for robots to achieve intelligence.
The speaker, Russ Tedrake, argues that while foundation models are powerful and will play an important role in the future of robotics, planning is still an important aspect that should not be ignored. He emphasizes that planning can improve the efficiency of learning by guiding the exploration process and focusing on the most promising actions.
The talk also introduces GCS (Graphs of Convex Sets) as a powerful tool for planning in robotics. GCS allows robots to reason about the uncertainties in their environment and make decisions that are robust to these uncertainties.
Here are the key points from the talk:
Planning and learning are complementary: Planning can improve the efficiency of learning by guiding the exploration process. GCS is a powerful tool for planning in robotics: GCS allows robots to reason about uncertainties in their environment. Behavior cloning is a useful tool for robotics: Behavior cloning can be used to learn from human demonstrations. Foundation models are powerful but not a silver bullet: Planning is still important in the age of foundation models.
Steve Jurvetson on Twitter / X
(You have to wonder about the author's objectives here, e.g. addressing the risk of Doomers as an extreme example who used it as motivation for other things. Now they can return to their regularly scheduled horror stories. Back in the day, a lifeguard would loosen the stranglehold a desperate swimmer had on them by diving so they could swap positions and carry them safely to shore. But this may also be a pun on Chomsky like machine learning itself. Newport, on the other hand, might drag them off the beach entirely. Or in terms of mathematical philosophers, DFW would have nth-order footnotes. Bostrum, Wolfram, have you ever seen them together? FLI had simply argued for a halt. Toss in etiology, and brevity is history. So, it appears to be a Monty Python API. Hanson begrudgingly on the Muppets. Sandberg ahead.)
Opinion | If A.I. Takes All Our Jobs, Will It Also Take Our Purpose?
He likened the book to a particle accelerator that smashes atoms together to study their parts, such as quarks. In “Deep Utopia,” he said, he smashed values into one another to study their composition.
(The author also spreads the topics across a week. Each day, they go through sentiment, logic, and symbolism. So it may be mimicking how the parts of a brain do interpretation. Or that could be the journaling routine. As mnemonic for both self and reader.)
Poe on X: "We've added Claude 3 Opus 200k and Sonnet 200k as bases for your prompt bots! These multimodal models are the most powerful base bots available, and can handle longer inputs for more natural back-and-forth conversations, in-depth analysis, multi-step tasks, and more. https://t.co/QKjGlkCTjY" / X