Eric Porres

💡 One ChatGTP request requires 10 times the energy of a Google search. In five years, the incremental energy demand of AI will be equivalent to 40 million homes — more than California, Texas, Florida, and New York combined. - Professor Scott Galloway Tracking Scope 3 Emissions for data centers in supply chains will be a BIG focus in the next few years. I wrote a little something about it here... #GHG #supplychains

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Adtech ecosystem, Jan-May 2024: “The internet is fraught with large, dark and scary corners. MFA, low-grade UGC, divisiveness, brand unsafe. “ The Trade Desk May 29 2024: “Consumers are spending more time on the best of the open internet and there’s tremendous value for advertisers in reaching them there. “ Adtech ecosystem, June 2024: “We don’t want a solution to the problem”.

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The impact AI will have on jobs continues to be debated. However, for audiobook narrators, AI is a threat right now. #AI Infinitive #GenAI https://lnkd.in/e4Aa_seA

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How Big Tech "Owns" Generative AI: The Usual Suspects Control the Future of AI - Will the Feds & We Let Them?" ICYMI - check out my recent article where I lay it all out. Here's an excerpt: The last massive tech-tonic shift that rocked Hollywood – the Internet – birthed whole new categories of companies that ultimately created the Big Tech world we know (and love/fear?) today. Now we’re in the next transformational wave – generative AI – and this time, history most certainly is not repeating itself. We see no new truly independent players here (at least not yet), and Big Tech is doing everything in its enormous power to keep it that way. And that concentrated power is something about which we in the creative community must be aware. Left unchecked, it both stifles innovation and our ability to place sensible and necessary guardrails. After all, we know how Big Tech feels about our copyrighted works – in its view, there is no reason to pay for it. All’s f-AI-r in AI love and war, after all. Right? Move beyond the “indie” optics here and think about AI’s realities... [READ THE REST IN MY ARTICLE - AND SUBSCRIBE TO MY WEEKLY "THE BRAIN" NEWSLETTER VIA THAT POST -- all about how #generativeAI is transforming the world of #media and #entertainment]  #AI #openAI #microsoft #google #amazon #tech The New York Times The Wall Street Journal https://lnkd.in/gtcVwhTY

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SlidesAI: Create Presentation Slides Effortlessly with Generative AI from Martech Zone - https://lnkd.in/eZVPmAD4

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Copy & paste these ChatGPT prompts to learn anything 10X faster 👇 Save time. Quickly understand and apply new skills! Use these top 10 ChatGPT prompts: 🔥 Prompt 1: Complex Concept Simplifier Break down [Complex Concept] into its core components using the simplification technique. Create an explanation as if teaching it to a 12-year-old. Include 3-5 key points and 1-2 everyday analogies. Present the result as a mind map with brief explanations for each branch. 🔥 Prompt 2: Accelerated Learning Strategy Designer Design a personalized learning strategy for mastering [Skill/Subject]. Include methods for pre-learning research, skill deconstruction, and direct practice. Create a 30-day learning sprint plan with daily actionable steps and milestones. 🔥 Prompt 3: Comprehensive Knowledge Map Creator Develop a detailed knowledge map for [Topic/Field]. Identify key concepts, their relationships, and hierarchies. Present the map with main branches, sub-topics, and connections between ideas. Include a legend explaining the map's structure. 🔥 Prompt 4: Rapid Book Summarizer Summarize the key ideas from [Book Title] using a progressive summarization technique. Provide a 1-sentence summary, a 1-paragraph synopsis, and 3-5 main takeaways with brief explanations. Include a list of actionable insights for practical application. 🔥 Prompt 5: Structured Problem-Solving Framework Create a problem-solving framework for [Type of Problem]. Outline steps to identify, diagnose, explore, and act on the problem. Provide a template with guiding questions for each stage and suggest tools or techniques for effective execution. 🔥 Prompt 6: Case Study Analysis Accelerator Develop a rapid case study analysis framework for [Industry/Field]. Create a structured approach including situation overview, key issues identification, and solution development. Provide a checklist for quick analysis and a template for presenting findings. 🔥 Prompt 7: Writing Skills Enhancer Design a 14-day writing improvement plan focusing on clarity, brevity, and style. Include daily exercises, editing techniques, and a method for tracking progress. Provide a rubric for self-assessment of writing samples. My current writing level & goal: [Writing Level and Goal] 🔥 Prompt 8: Language Learning Accelerator Create a rapid language learning plan for [Target Language]. Focus on high-frequency vocabulary, pronunciation, and grammar patterns. Design a daily 1-hour study schedule for 30 days, including immersion techniques and spaced repetition practice. ⭐ Find prompts 9 & 10 in comments. - - - 📌📌 Get Advanced ChatGPT Guide (free): https://bit.ly/3TMg22H 👉 Follow me Andrew Bolis for AI tips 🔄 REPOST to help others use AI

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"AI will Create Abundance and a Fairer Society." "Vinod Khosla, a key figure in Silicon Valley, envisions a future where AI creates abundance and fosters a fairer society. Known for co-founding Sun Microsystems and leading Khosla Ventures, he advocates for the transformative power of AI in various sectors, from green tech to healthcare. Khosla's early investment in OpenAI showcases his commitment to advancing AI technologies globally. As a TIME100 Most Influential People in AI honouree, he believes AI can revolutionise industries, potentially replacing jobs to liberate humanity from servitude. Khosla's stance reflects a balance between managing risks and embracing the benefits of powerful technologies like AI. #AI #Technology #Innovation #Abundance #FairerSociety #GreaterGood

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The AI landscape is changing beneath our feet. "Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, told Reuters recently that results from scaling up pre-training - the phase of training an AI model that uses a vast amount of unlabeled data to understand language patterns and structures - have plateaued. To overcome these challenges, researchers are exploring 'test-time compute,' a technique that enhances existing AI models during the so-called 'inference' phase, or when the model is being used. For example, instead of immediately choosing a single answer, a model could generate and evaluate multiple possibilities in real-time, ultimately choosing the best path forward. 'This shift will move us from a world of massive pre-training clusters toward inference clouds, which are distributed, cloud-based servers for inference,' Sonya Huang, a partner at Sequoia Capital, told Reuters." Link: https://lnkd.in/ej382PWj

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🎬 "To See The Invisible Man" from *The Twilight Zone* offers a fascinating glimpse into human behavior when external validation—mattering—is removed. 🌟 Mitchell Chaplin's journey through a year of enforced invisibility reveals a profound transformation. Initially reveling in freedom, he soon confronts deep loneliness, leading him to explore internal sources of meaning. 💡 This narrative beautifully illustrates how true personal growth and fulfillment often emerge when external pressures fade. It's a powerful reminder that our deepest insights and strengths are discovered from within. You may watch the short movie from the following link https://lnkd.in/gx7KagTs If you want to understand the emergence of meaning when mattering is taken out, please check the link below https://lnkd.in/g_c26mgX Do watch the movie and share your views of meaning and mattering. #YourWorkLifeSynergy #PersonalBranding #TwilightZone #Meaning

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Michael Kaminsky and I have always believed that marketing mix modeling should not live in a black box – and, in an effort of transparency, we will do a live platform walkthrough this week. If you’re interested in how our customers use Recast, what it looks like behind the scenes, or how our model actually works, come join our session and ask away. Here are a few things we’ll focus on: → Forecasting & goal tracking tools → Channel level deep-dives → In-platform backtests (and why they’re important) → Any other questions y’all have The link to sign up is in the comments - see you there!

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In this episode, Brandon Jung, VP Ecosystem at Tabnine discusses the potential of generative AI (GenAI) in the enterprise space, emphasizing its augmentation of human productivity rather than replacement. Jung also discusses the current state and future prospects of GenAI in software development, highlighting the importance of starting with use cases, leveraging cloud infrastructure, and balancing control with accuracy in AI model development. Jung stresses the need for data stewardship, while emphasizing the platform's flexibility to work with various models and cloud providers. #genai

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In the rapidly evolving world of artificial intelligence, separating hype from reality can sometimes be a challenging task. Yet, as AI continues to reshape industries at a breakneck pace, understanding its real-world applications and future trajectory becomes crucial for businesses and professionals aiming to stay ahead. It was against this context that Sigma Computing recently hosted its fascinating "AI Leaders Spill Their Secrets, webinar" bringing together some of the brightest minds in the AI industry to share their experiences, strategies, and visions for the future. Throughout the webinar, the industry experts offered an in-depth understanding of the state of AI, its applications across sectors, and its implications for the future. The entire webinar is worth watching. However, in this article, we bring you a comprehensive summary of the event, highlighting key discussions and insights that emerged from this meeting of AI leaders.

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TOP 10 GENERATIVE AI HEADLINES OF THIS PAST WEEK IN THE WORLD OF MEDIA AND ENTERTAINMENT (for the week ending 4/19/24): (1) OpenAI and rival Anthropic compete and disagree on just about everything, but on one thing they agree — no license, consent or compensation is needed to train their AI. Don’t take it from me. Anthropic CEO Dario Amodei said it himself when he spoke the quiet part out loud. (2) Oops, Adobe did it again! When #Adobe released its Firefly AI, it boasted that it was trained only on licensed creative works. That was a major selling point. Little did we know that — actually — Firefly’s AI trained on images from Midjourney, which is embroiled right now in major #copyright litigation because it trained its AI on countless unlicensed images. That would mean that Firefly infringed copyrighted works via the transitive propery. It’s elementary (& disturbing if true). (3) Its clock may be winding down, but TikTok still moves full steam ahead! Despite Congress’s new bill seeking to ban it, #TikTok is developing an advertising tool that generates virtual Influencers who star in #advertising videos. (4) Speaking of advertising - it’s no joke - brands are adding AI restrictions to agency contracts. And it all makes sense. Why would any brand want to risk getting embroiled in all the ongoing copyright infringement litigation by working with AI companies who trained their AI on unlicensed copyrighted works? (5) Google wants “in” on the advertising action, of course. It’s latest Workspace app “Vids” gives users the ability to ask AI to make videos for you. (6) Spotify launches personalized AI playlists and, of course, Jeff Bezos follows suit. Amazon Music launched its own AI playlist generator called “Maestro.” (7) You say “responsible AI,” I say “responsible AI” — but which is it? That’s the problem — no two benchmarks for “responsibility” are the same. (8) But it’s not all doom and gloom in AI land (nor should it be). Artists use genAI to create very real, tangible, physical art. Yeah, it’s a thing. (9) EARNINGS ALERT! It’s a big AI week for Big Tech. Meta reports Q1 earnings Wed, the 24th and Microsoft and Alphabet Inc. follow suit on the 25th. Can’t make those earnings calls? Just have your AI chatbot transcribe them. (10) From the “this has nothing to do with AI, but ….” department. My wife, Luisa, just opened the doors to her new business “The Grounded Mind Collective” - a new hub for young and evolving minds - in beautiful Encinitas, California (north county San Diego). Come visit - thegroundedmind.org SUBSCRIBE HERE VIA THIS LINK to my free weekly generative AI-focused newsletter for media and entertainment - it's called "the brAIn" (comes out every Monday AM) https://lnkd.in/gtsk8AH8 #media #entertainment #music #generativeAI #thebrain AI LA

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#transcript Fadi Micaelian, CEO of Sparkdit, teaches machines to think like humans by understanding trade-offs. AI is not good at finding nuance and capturing trade-offs, which is where Sparkdit comes in. They have developed a technology that can teach computers to make trade-offs like humans and put humans at the center of the technology rather than replacing them. Incorporating AI into patient-centered decision formats can revolutionize healthcare, improve the way doctors interact with patients, and address issues like ageism, sexism, and racism. #Sparkdit #AI #AppliedAI #AIinHealthcare #TrainingAI Sparkdit.com https://lnkd.in/gtdKhM5P

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I find the story behind this Apple commercial fascinating. Why does it strike a nerve? Perhaps because it precisely captures the sweeping impact of the internet on our world today. The Apple ad sensitively touches on how the internet and modern technologies have transformed our perception of exclusivity and specialty. While the internet was expected to foster decentralization, it has instead led to greater aggregation, changing the dynamics of competition and consumption. In the digital world, defined by abundance, power has shifted towards discovering exactly what you want to see. This has granted us unprecedented access to all types of content, effectively "flattening" the specialness of any single offering. Platforms like Google, Facebook, Amazon, and Netflix have each transformed their sectors, making everything more accessible and placing user preferences at the forefront. Even further, technologies like large language models and apps like TikTok have customized our digital interactions, making personal connections less necessary for content relevance. Apple's iPad advertisement, by encapsulating this new digital reality, resonated deeply. It reflected our everyday digital experiences so accurately that it sparked a strong reaction. In response to the feedback, Tor Myhren, Apple’s VP of marketing communications, stated: "Creativity is in our DNA at Apple, and it's crucial for us to design products that empower creatives worldwide... We missed the mark with this video, and we’re sorry." Was the apology necessary? At the end of the day, we are all still talking about Apple. What are your thoughts on the evolving digital landscape and its challenges? https://lnkd.in/gzXxT_7n

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