The implications of Sam Altman's testimony plus prompt hacking / prompt engineering tips. EU AI Act, Open Source OpenAI Models and much more. Links Watch this on Youtube AI News this week Sam Altman’s abridged testimony (Twitter): Senate sub-comittee hearing in full: Sam Altman Testimony on TikTok Genie AI Linkedin Mentions: Sparks of AGI Microsoft Paper OpenAI open source model EU AI Act Crazy things this week https://mealpractice.com/generate - Effortless meal planning with AI-generated recipes Elon saying OpenAI wouldn’t exist without him. Discussion Points AI generated opening statement by Richard Blumenthal Sam Altman (OpenAI), Gary Marcus (Uber, Robust.ai), Christina Montgomery (IBM) Senate is aware they don’t understand this enough to legislate on it OpenAI is making significant efforts towards safety OpenAI advocates for a committee to regulate AI development for large companies Election fraud seems to be a major concern for OpenAI New, better jobs will be created according to OpenAI Prompt hacking tips Be succint and specific! Prime the language model by providing a persona for it. Asking the model to think through its response step-by-step “Let’s think step-by-step” Providing clear context: Offer concise background information for guidance. Use Cases: Definition explanations, historical event summaries, concept descriptions. Specifying the output format: Indicate desired answer structure explicitly. Use Cases: Generating lists, step-by-step instructions, summarizing long texts. Using explicit instructions: Request specific detail or critical thinking. Use Cases: Debating pros and cons, analyzing biases, evaluating arguments. Redundancy and rephrasing: Reinforce information by reiterating questions. Use Cases: Clarifying ambiguous topics, extracting specific details, verifying facts. Temperature and token settings: Adjust randomness and output length. Use Cases: Creative writing, focused summaries, generating multiple response variations. Iterative refinement: Refine prompts based on previous responses. Use Cases: Troubleshooting, problem-solving, narrowing down complex topics. Prompt engineering: Craft effective prompts using templates or examples. Use Cases: Analogies, translating complex topics into simple explanations, generating structured responses. Advanced techniques like asking the language model to think step by step Shout out to DeepLearning.AI’s free prompt engineering course: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/ Links to us on other podcast platforms Spotify - https://open.spotify.com/show/5Lbw5IlX0z22rqzQheZ5MyApple Podcasts - https://podcasts.apple.com/us/podcast/using-ai/id1683562982Google Podcasts - https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy9kZjg0ODk2Yy9wb2RjYXN0L3JzcwAmazon Music - https://music.amazon.co.uk/podcasts/d68cc64d-9854-43b2-b72c-c54486f0cb06/using-aiCastbox - https://castbox.fm/channel/id5409720Overcast - https://overcast.fm/itunes1683562982/using-aiPocket Casts - https://pca.st/8q41hgrbRadio Public - https://radiopublic.com/using-ai-GMvYqZStitcher - https://www.stitcher.com/show/1066264RSS - https://anchor.fm/s/df84896c/podcast/rss --- Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message

News from the week PaLM2 - better at reasoning, maths, and logic, and in many cases, and does better than OpenAI’s GPT-4. PaLM2 PDF technical report Apps mentioned screenloop.com gamma.app - Generation of the entire presentation canva.com - AI throughout all the tools Cloudsale.ai Entrepreneur First (EF) - https://www.joinef.com/ Crazy Things Palantir showcases “AIP” platform using LLMs in military situations 😬 (https://www.youtube.com/watch?v=XEM5qz__HOU) Guardian article calling LLMs the largest heist in human history The Scientist and the A.I.-Assisted, Remote-Control Killing Machine (NY Times) Books mentioned Innovator’s Dilemma - https://en.wikipedia.org/wiki/The_Innovator's_Dilemma New Silk Roads - https://en.wikipedia.org/wiki/The_Silk_Roads Groups of key words people use to actively look for AI tools with Images / Photo / Drawings / Video / Portrait / Design / Concepts Text / Copy / Writing Analytics / Detection / Voice / Vision / Recognition / Diagnosis / Patterns / Prediction / Optimization Industries: Coding / HR / Marketing / Design / Robotics Personalisation Mentions MedPalm2 The UK’s ICO, GDPR and Automated Decision Making (https://ico.org.uk/for-organisations/guide-to-data-protection/guide-to-the-general-data-protection-regulation-gdpr/individual-rights/rights-related-to-automated-decision-making-including-profiling/) --- Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message

This week we will delve into the fascinating crossroads of AI and the future of work! I’m joined by ML Research Scientist Alex Papadopoulos Korfiatis and AI Startup Founder Rafie Faruq. Links: MacWhisper: ⁠https://goodsnooze.gumroad.com/l/macwhisper⁠ Whisper Transcription by OpenAI: ⁠https://openai.com/research/whisper⁠ Hinton leaves Google: ⁠https://www.theguardian.com/technology/2023/may/02/geoffrey-hinton-godfather-of-ai-quits-google-warns-dangers-of-machine-learning⁠ Google leaked document about open source LLMs: ⁠https://www.semianalysis.com/p/google-we-have-no-moat-and-neither⁠ Labor Market Impact Potential of Large Language Models: ⁠https://imgur.com/a/qBDSYRv⁠ (Full paper: ⁠https://arxiv.org/pdf/2304.06123.pdf⁠) IBM to freeze hiring as CEO expects AI to replace 7,800 jobs: ⁠https://www.aljazeera.com/economy/2023/5/3/ibm-to-freeze-hiring-as-ceo-expects-ai-to-replace-7800-jobs⁠ AI research chatbot which interviews people to learn about their views on upcoming elections: https://canvasbot.understood.chat We constrain this conversation to the technology available between today and no further ahead than 18 months. We discuss how and why creative-roles have been affected most so far, e.g. concept artists and writers. We discuss how democratizing access to AI will lower the barrier to entry for new applications, and how there is a huge underground open-source AI movement. We discuss roles such as Journalism which may be at least partially immune to these changes. We cover how LLMs can provide the median information on a subject today, but future models can easily have specific tilts or opinions. We cover open-source transcription tool MacWhisper vs paid silicon-valley startup sweetheart Otter.AI (powered by Google Speech to text) and how open-source is winning. Alex discusses AI for medical transcription in his previous role in Babylon Health, and how important AI safety is in this subject. This gets us on to high risk and expert roles - where you need responsibility and connection - and how they may be the last to really shift. We cover how with legal notes you don't have to be 100% correct, you just need to make logical arguments that are legally sound - so our job in creating an AI assisted legal services is easier than medical AI's job. The clerical parts of many roles will start to go in droves over the next 18 months, as many people hate this part of their job and it's easy for LLMs. --- Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message

Links: Google C4 dataset analysed by The Washington Post: https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/ Snapchat’s AI flop https://www.businessinsider.com/snapchat-ai-tool-chatbot-total-fail-with-users-app-store-2023-4 AI Pizza commercial: https://www.youtube.com/watch?v=qSewd6Iaj6I Call Annie (Free video call with AI avatar Annie): https://callannie.ai/ Join ML Research Scientist Alex Papadopoulos Korfiatis and AI Startup Founder Rafie Faruq, a Philosophy and Ethics expert, as they explore the challenges and opportunities in creating ethical AI. AI Ethics is a massive subject. We barely touched on each of these, but will do more on each in future episodes. AI Bias (e.g. ai pictures of lawyers are usually white males) AI Safety - (lots of examples) AI Explainability - AI showing its working and being transparent Copyright & IP in AI - and at scale (who owns the prompt? Who owns the response? Quality of AI - Used to be much more of an issue, but quality is improving rapidly. AI regulation - Is any company taking proactive steps? Is any country clearly 'ahead' on this area? We all know that regulating artificial intelligence will not be easy. Would we have regulated Social Media differently if we knew the effect it would have on society? Accountability and Responsibility in AI - i.e. Who is responsible for the output. The user prompting, or the creator of the model? What about the businesses hooked in to the model via API and layering a UI on top? Links to us on other platforms: I think just go for it re podcast - and I’ll share the link to all the places people can listen in a comment:In order of platform popularity:Spotify - https://open.spotify.com/show/5Lbw5IlX0z22rqzQheZ5MyApple Podcasts - https://podcasts.apple.com/us/podcast/using-ai/id1683562982Google Podcasts - https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy9kZjg0ODk2Yy9wb2RjYXN0L3JzcwAmazon Music - https://music.amazon.co.uk/podcasts/d68cc64d-9854-43b2-b72c-c54486f0cb06/using-aiCastbox - https://castbox.fm/channel/id5409720Overcast - https://overcast.fm/itunes1683562982/using-aiPocket Casts - https://pca.st/8q41hgrbRadio Public - https://radiopublic.com/using-ai-GMvYqZStitcher - https://www.stitcher.com/show/1066264RSS - https://anchor.fm/s/df84896c/podcast/rss --- Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message

This week we are discussing Google Search and Large Language Models. We'll be exploring how LLMs and Transformers are encroaching on the world of search engines. We discuss how AI is changing the way we find information and interact with the internet from BabyAGI to AutoGPT. We touch on Filter bubbles, Hallucinations (and how nobody has solved this yet). News from this week in AI Reddit Wants to Get Paid for Helping to Teach Big A.I. Systems https://www.theverge.com/2023/4/18/23688463/reddit-developer-api-terms-change-monetization-ai Google Working On New More Personalized Search Engine & Project Magi https://www.seroundtable.com/google-new-search-engine-project-magi-35230.html Samsung has considered changing its search partner. Microsoft's Bing is powered by Open AI after Microsoft invested $10 billion in the company back in January. Sundar Pichai "No One In The Field Has Yet Solved Hallucination Problems" - https://uk.investing.com/news/stock-market-news/sundar-pichai-opens-up-about-google-bards-trippy-troubles-no-one-in-the-field-has-yet-solved-hallucination-problems-2987805 Crazy things we saw this week Autogpt (GPT-4 running fully autonomously) - https://twitter.com/mattcduff/status/1642528658693984256 Photographer admits prize-winning image was AI-generated https://www.theguardian.com/technology/2023/apr/17/photographer-admits-prize-winning-image-was-ai-generated https://callsam.ai/ • Call Sam - call and speak to an AI about absolutely anything. Fun thing to try out Some questions from this episode What do you think the future of Google Search will look like in the next 5-10 years? There has been some concern about AI and LLMs creating "filter bubbles" that limit the diversity of information users are exposed to. What are your thoughts on this issue, and how can it be addressed? Next week's episode - AI Ethics --- Send in a voice message: https://podcasters.spotify.com/pod/show/using-ai/message