Lex Fridman, after 10,000 steps this morning, I still had an hour left of this podcast, and I’m so glad I finished it! Definitely worth every minute. The conversation with the founding members of the Cursor team explores enhancing the developer experience—helping engineers make micro-decisions and understand tradeoffs in real time while boosting productivity. They also discuss problems that can be solved now and what should be tackled soon. Most of the discussion goes deep into the challenges of scaling frontier models, infrastructure requirements, and the importance of fine-tuning AI for accuracy. If you’re curious, give Cursor a try here: [cursor.com](https://www.cursor.com/) https://lnkd.in/ew-WZEzh #AI #DeveloperExperience #Innovation #Tech #anthropic #aws #genai
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One of our Gnarians, Erik Cameron, joined the Code with Jason podcast. They discuss containerization, WASI, the possibilities of AI-generated binaries, the iterative process of AI-assisted programming, potential professional and social changes from AI-assisted programming, the mismatch between the stock of currently available programmers and the needs of the current programming industry, and the granularity of the work that is output by AI. Check it out: https://hubs.li/Q02nzCt_0
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As a reminder, Diana Graber and I are excited to chat with Bill Marsland from Code Ninjas tomorrow (3/19). I'm curious about Bill's definition of coding and his take on the value of coding with so many people talking about how AI is taking over. Got questions? Join us 3/19 @ 12 noon PT. See Cyberwise.org/chats to register. Or post your questions below and catch up later on the video or podcast! #coding #kidslearning #AI #computationalthinking
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The latest episode of the AI Engineering Podcast is available now! Episode 41 is ready to listen to and share with all of your friends and colleagues.
The Impact of Generative AI on Software Development
aiengineeringpodcast.com
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Stop thinking of AI like traditional programming—it's time for a paradigm shift! 🤖 In the latest episode of the Using AI at Work podcast, we dive into how AI differs from conventional programming. Instead of needing to provide a specific answer to move forward, AI allows you to approach problems more flexibly. You can start by simply stating your goal or challenge, even if you're unsure how to articulate it. AI then offers multiple solutions, helping you explore different paths. By shifting your mindset from traditional workflows to AI-driven problem-solving, you can create novel and useful solutions that you might not have considered otherwise.
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LinkedIn Top AI Voice 🏆 | #AI Best Practices ✅ | #CPMAI Certified | 💡Focused on innovation in the private and public sector
To improve the reliability and performance of LLMs, sometimes you need to break large tasks/prompts into sub-tasks. This is the idea behind #promptchaining. Prompt chaining is useful if the LLM is struggling to complete your larger complex task in one step. 🎙 In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss prompt chaining further and why it's a best practice for Prompt Engineering. 🎧 https://lnkd.in/e6njuEbb ✅ This is part 2 in our 6 part series on Prompt Engineering Best Practices so subscribe to #AIToday #podcast to listen to all episodes in the series!
Prompt Engineering Best Practices: What is Prompt Chaining? [AI Today Podcast] - Cognilytica
https://www.cognilytica.com
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💥 In the newest episode of the Next-Gen Metal Fab podcast, Tim Heston and Caleb Chamberlain discuss the evolution of software in the metal fabrication industry and how AI tools have greatly improved the coding experience. 👉🔗 Link in the comments #nextgenmetalfab #metalfabrication #advancedmanufacturing #sheetmetal #smartmanufacturing #software #coding #ai OSH Cut
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🎙️ Tune in to our complete podcast , where we explore how the TRL scale framework effectively manages stakeholder expectations. 🤝🏻✨ Don’t miss out on these valuable insights! #Podcast #TechInnovation #TRLScale #StakeholderManagement #AI #TechnologyAdoption #InnovationFramework #IndustryInsights #ResearchToMarket #TechTransfer #AHBai #StartupEcosystem https://lnkd.in/ds6GaTAv
How the TRL scale framework effectively manages stakeholder expectations🤝🏻 I #ai #coding #tech
https://www.youtube.com/
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Business Strategist & Negotiation Trainer ⚜️ Helping tech companies solve complex revenue & profitability challenges through Positioning | Podcast Host | Author
AI won’t take your job. Actually, seeing it that way is almost childish. That’s one of the takeaways from my conversation with Santosh Kotnis, the CEO of SpringUp Labs. Santosh is building a global tech offshore powerhouse that has already expanded across three countries. Find out more about him & his company in this week’s episode of The Tech of Tomorrow. Link in the comments 👇🏽 - - - #IT #tech #ai #artificialintelligence #programming #consulting #strategy #podcast
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Become the AI expert in Your Company in 4 Weeks or less | Leaders in AI Strategy & Implementation for Mid-Market & Portfolios | AI Training & CAIO Certification
Stop thinking of AI like traditional programming—it's time for a paradigm shift! 🤖 In the latest episode of the Using AI at Work podcast, we dive into how AI differs from conventional programming. Instead of needing to provide a specific answer to move forward, AI allows you to approach problems more flexibly. You can start by simply stating your goal or challenge, even if you're unsure how to articulate it. AI then offers multiple solutions, helping you explore different paths. By shifting your mindset from traditional workflows to AI-driven problem-solving, you can create novel and useful solutions that you might not have considered otherwise.
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Stop thinking of AI like traditional programming—it's time for a paradigm shift! 🤖 In the latest episode of the Using AI at Work podcast, we dive into how AI differs from conventional programming. Instead of needing to provide a specific answer to move forward, AI allows you to approach problems more flexibly. You can start by simply stating your goal or challenge, even if you're unsure how to articulate it. AI then offers multiple solutions, helping you explore different paths. By shifting your mindset from traditional workflows to AI-driven problem-solving, you can create novel and useful solutions that you might not have considered otherwise.
