who would have thought the product market fit would be in memecoins :)

Great Video !

😃awesome! hoped so much to see you again, Kilpa!

Great video. Logan, not sure if you're familiar with Internet of Bugs channel, curious what your take is on his stance on AI in the coding field. There seems to be a large disconnect between the AI field and the coding field. Those in the AI field embrace it to code, understanding it's current limitations, those in the coding field mock it's current capabilities. To be fair, there is a good deal of grifting and VC going into this space.

18:30 this is so... weird. but also so very fascinating that you can't explain it (yet) precious stuff for deep thoughts :P

👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾

👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾👏🏾

Best interview to date. Loved how informative this was with concrete examples.

Love this video!

Over the past year, I successfully developed an innovation in auto-regressive LLM and SLM reasoning capabilities, making the model objectively smarter, better, more efficient, and more effective, using less compute while simultaneously helping users avoid common pitfalls of prompt inputs. you wouldn't believe how hard it is to share these findings without open-source publications or a whitepaper, that will never be read.

Great episode for prompt practitioners. Thanks for exploring chat-overfit, RLHF'ing capabilities out of the model, and model'ese (vs English) ♨️

1. Opening - 00:00 2. Introduction to Andrew Maine - 00:02 3. AI Journey - 00:09 4. Childhood with Robots and AI - 00:33 5. Career as a Magician - 01:32 6. Return to AI - 02:21 7. Experiments with Sharks - 03:09 ㄴ Development of Shark Detection System - 04:22 ㄴ Development of Camouflage Suit - 06:00 8. Encounter with GPT-2 - 08:00 9. Collaboration with OpenAI - 09:22 10. Work on GPT-3 - 10:05 11. Model Prompt Optimization - 14:47 ㄴ Simplification of Prompts - 15:01 12. Ways to Improve Writing Skills - 17:01 13. Model Limitations and Optimization - 20:00 14. Methods for Evaluating Prompts - 28:54 15. Systematic Approach to Prompts - 29:21 16. Reasons for Model Errors - 31:00 17. Tips for Writing Successful Prompts - 34:35 ㄴ Clear Goal Setting - 34:35 ㄴ Step-by-Step Approach - 35:18 18. Evolution of Prompt Engineering - 36:42 19. Limitations of Academic Approaches - 38:00 20. Use Cases for AI Technology - 40:01 ㄴ Cursor IDE - 41:16 ㄴ Other Tools - 42:14 21. Using Deepgram for Voice Transcription - 43:27 22. Advancement of Conversational AI Tools - 46:03 23. Release and Development of GPT-4 - 50:18 24. Impact of Generative AI on the Publishing Industry - 53:33 ㄴ Various Ways to Consume Text Information - 54:36 25. Learning Data and AI - 58:41 26. Andrew's New Project - 59:52 27. AI Accessibility and Impact on Education - 01:02:01 28. Hopes and Concerns for the Future of AI - 01:05:01 ㄴ Positive Expectations - 01:05:15 ㄴ Concerns about Technologies like Deep Fakes - 01:06:23 29. Conclusion of the Conversation - 01:08:00

Really nice episode! Andrew is very knowledgeable on how to use LLMs. Have learned a lot from the OpenAI documentation and really appreciate his efforts.

1. 오프닝 - 00:00 2. Andrew Maine 소개 - 00:02 3. AI 여정 - 00:09 4. 로봇과 AI에 대한 어린 시절 - 00:33 5. 마술사의 경력 - 01:32 6. 다시 AI로의 복귀 - 02:21 7. 상어와의 실험 - 03:09 ㄴ 상어 감지 시스템 개발 - 04:22 ㄴ 위장복 개발 - 06:00 8. GPT-2와의 만남 - 08:00 9. OpenAI와의 협업 - 09:22 10. GPT-3와의 작업 - 10:05 11. 모델 프롬프트 최적화 - 14:47 ㄴ 프롬프트 간결화 - 15:01 12. 작문 능력 향상 방법 - 17:01 13. 모델의 한계와 최적화 - 20:00 14. 프롬프트 평가 방법 - 28:54 15. 체계적인 프롬프트 접근법 - 29:21 16. 모델이 실수를 하는 이유 - 31:00 17. 성공적인 프롬프트 작성 팁 - 34:35 ㄴ 명확한 목표 설정 - 34:35 ㄴ 단계별 접근법 - 35:18 18. 프롬프트 엔지니어링의 진화 - 36:42 19. 학문적 접근법의 한계 - 38:00 20. AI 기술 활용 사례 - 40:01 ㄴ Cursor IDE - 41:16 ㄴ 기타 도구들 - 42:14 21. 딥그램을 활용한 음성 기록 - 43:27 22. 대화형 AI 도구의 발전 - 46:03 23. GPT-4의 출시와 발전 - 50:18 24. 생성 AI의 출판업계 영향 - 53:33 ㄴ 다양한 텍스트 정보 소비 방식 - 54:36 25. 학습 데이터와 AI - 58:41 26. Andrew의 새로운 프로젝트 - 59:52 27. AI의 접근성과 교육에 미치는 영향 - 01:02:01 28. AI의 미래에 대한 기대와 우려 - 01:05:01 ㄴ 긍정적인 기대 - 01:05:15 ㄴ Deep Fake와 같은 기술적 우려 - 01:06:23 29. 대화 마무리 - 01:08:00

I could not make out all the tools Marily mentioned. Could you list them please? Thank you.

really liked the interview, but whats up with the audio and very frequent cuts? its quite distracting. just thought id mention.

Great episode!

Connor's Take on Generative AI and Education: 1. Debunking AI Myths: Connor stresses that most people don't have a tech background and struggle to grasp AI. He thinks it's more about changing habits, like starting a new workout routine, rather than being a tech whiz. He suggests focusing on how AI can simplify daily tasks, rather than getting bogged down in technical details. 2. The Trouble with Use Cases: Connor argues that relying too heavily on use cases limits our understanding of AI's potential. He thinks this approach can create solutions that don't really solve a problem. Instead, he advocates for exploring AI without preconceived notions to uncover its true potential. 3. A Fresh Perspective: Connor's non-technical background gives him a unique view of AI, allowing him to see its possibilities from a different angle. He likens his role to a personal trainer who gets what it's like to start from scratch. He emphasizes the importance of bringing in fresh perspectives to think outside the "tech bubble." 4. AI's Gradual Growth: Connor points out that AI's progress is gradual, not a sudden game-changer. He notes that people expect AI to be a magic fix, but it's more about delegating tasks and boosting efficiency. He believes the future of AI lies in personalization and learning, not replacing humans entirely. 5. The Need for Clear Communication: Connor stresses the importance of explaining AI in a way that's easy to understand, avoiding tech jargon and using relatable examples instead. He thinks that by making AI more accessible, we can unlock its full potential and encourage more widespread adoption.

This engaging audio interview features Ben Tossell, the mastermind behind Ben's Bites, a popular newsletter that drills down into the world of AI and no-code tools. The conversation tackles a range of topics, including: Who's Tuning In: Ben's Bites is geared towards startup founders and individuals intrigued by AI, but not necessarily tech-savvy software engineers. The No-Code to AI Journey: Ben's Bites initially focused on no-code tools, but as AI advanced, it became a natural fit to transition and explore its possibilities. AI can now generate code, making it more accessible to a broader audience. The AI Revolution: Ben foresees AI unlocking the doors to software creation, enabling anyone to build tools and apps. He points to Zapier's AI chatbot builder as a prime example of this shift. Investing in AI Startups: Ben shares his expertise on investing in AI startups, emphasizing the need for speed and innovation. He looks for visionary founders who can break down complex tech into simple, easy-to-understand language. The Future of Ben's Bites: Ben plans to launch an immersive platform offering in-depth tutorials and real-life case studies on harnessing AI for work. This will complement his newsletter, providing a one-stop-shop for AI enthusiasts. The Rise of AI Agents: Ben believes AI agents are poised to revolutionize the way we work, automating tasks and streamlining processes. He sees Zapier as well-positioned to capitalize on this trend. Takeaway: This conversation shines a light on the rapid advancement of AI and its transformative potential across various industries. It also offers valuable insights into the no-code movement and the investment landscape for AI startups.

Great insights, excellent interview.

thanks both. fun of yours. would love to connect!

Super fun conversation with you guys!

Thank you. 🎉

#curious

awesome interview

Interesting. I’ve got a bit of experience in Agent-driven AI myself. You might have heard of WebGPT🤖 & Web Requests. Should check it out if you’re interested in BabyAGI!

31:00, 39:30, 40:11

Great interview. Well done Logan!

Where can we find access to MeanVC?

The interviewers audio is distorted and pretty harsh on the ear

I am excited to see my Pet Programming Language PROLOG being revived to work on Knowledge Graphs in AI.I am keen to even join a research project as a volunteer!!

Why is your voice distorted? 🤔

Great work. Thanks for sharing.

Huh, apparently Yohei Nakajima is my friend on Facebook, I had no idea! :)

Love this! Keep up the good work, can't wait for I/O! <3

Kinda interesting that the automatic chapter from KZbin says ABAGI instead of BabyAGI

Big Yohei fan

Big fan of both, perfect for a Saturday morning walk - thanks for producing!

Wow, thanks for this interview! You asked exactly the questions I would like to hear the answer to.

good questions!

thanks !♥

Such good interviewers that are not forcing their own opinions or expertise into the conversation. I really owe Jeremy and Andrew Ng for laying solid foundations for me. I can really relate to the tinkerer narrative. It was ages ago (2017?) that I had taken the fastai course and looked at dog v cat classification as the very first lesson. Before fastai I never felt it was accessible or would be as easy to implement and Andrew filled in the gaps and kept me on my journey by saying "don't worry if you don't understand".

Yes, I love listening to anything Jeremy has to say. Thanks!

Please less editing, its so obvious 💀

Anything involving Jeremy Howard is always great, looking forward to this one

And also could you please re-check the time stamps in the video description!

Loved your podcast with Lenny, glad you came out from OpenAI and started supporting Open Source community. And I'm happy that you're also supporting, investing, and mentoring many new start-ups thereby creating more competition in the market and increasing net good for society. I have a little doubt - why no start-up is providing serverless domain adaptation fine-tuning (AKA continued pre-training) for transformer or diffusion models! Because that is probably the only way to infuse knowledge and improve capabilities!

open ai converge 2 sora video ai sucks on so many level from algorithms to anti user freindly interface freindly and infringement of my copyright in uss Save your face water and fund me already before i proceed further with fbi