Kibet Kipkemoi

That's Pieter Levels. The guy who created a bunch of lucrative start-ups that are generating him $3M/year. Did he use Angular, React or Vue? No, just good old PHP, HTML, CSS and jQuery. No fancy design patterns or architecture either, just inline code. Did he use some fancy IDE? No, wrote all using Sublime text, recently switched to VS Code. Is he paying $20K / month for hosting with containers and K8S? No, just $400 for a single VPS with 16 cores and 64GB of RAM. And that's for all of his apps combined. Simplicity is the ultimate sophistication. #programming #webdevelopment

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🚀  Llama 3.1 is a game-changer! I had to blink my eyes today when I ran some tool-calling experiments (in Dutch): the 70B version performed perfectly on tough cases, just like GPT-4o. And Officially Llama 3.1 does not even speak Dutch. I ran it on a double RTX 4090 GPU for 80ct/h (20 euros a day)! ‘Tool calling’ is the glue between human speech and the system executing the spoken request. So far self-hosted LLMs were not strong enough to do this reliably even after fine-tuning, so an external LLM like OpenAI GPT-4 was always needed. No more! Now banks, insurance companies, and governments who are afraid of privacy and security issues with external LLMs can run a high-quality model on 4000 euros of graphics card! The limit is gone! Last but not least, the 8B version (which you can host for 15ct an hour) is also really good at tool-calling. It has minor glitches, but if your use case is not too demanding it is a blazingly fast-responding little beast.

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Mind reading is inching closer to reality. Top image = what the monkey saw. Bottom image = What the AI reconstructed from brain activity. Researchers at Radboud University just developed an AI system capable of reconstructing remarkably accurate images of what someone is looking at. Based on their brain activity recordings. > The team used both fMRI scans of humans and direct electrode recordings from a macaque monkey to capture brain activity while viewing images. > An improved AI system learned which parts of the brain to focus on, significantly enhancing reconstruction accuracy. > Lead researcher Umut Güçlü claims these are "the closest, most accurate reconstructions" to date. My take: While the study has some limitations (like using images already in the dataset), this research is still mind-blowing. From helping stroke victims communicate to recreating dreams, we’re likely seeing the early innings of a tech that will have major applications in society as it continues to improve.

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In the past week we've seen OpenAI release GPT-4o and Google release a new version of Gemini Pro 1.5, together with their new Gemini Flash model. The big news about these announcements is efficiency, speed and cost. Yay! 🐢 The challenge with GPT-4 has been its slowness - whilst it's a great model, it's so slow that I've had to rule out using it in several situations. If you need to make multiple calls to the model (very common) and you have a user sitting waiting on a response, GPT-4 is not viable. Why is it slow? Because it's a large model and larger models use more compute and take longer to respond. 🏎️ Enter GPT-4o, which is much, much faster. Why is it faster? Because it's a better optimised model that uses less compute and is able to respond quicker. And it's cheaper - 50% of the cost of GPT-4-turbo. When you make lots of calls to a model, a 50% cost reduction is a big deal. ⚡️ Now let's look at Google. Gemini 1.5 Pro and its stablemate 1.5 Flash both bring significant optimisations: "1.5 Pro, despite using significantly less training compute, surpasses 1.0 Ultra, a state-of-the-art model, on text capabilities like math, science and reasoning, code, multilinguality and instruction following. Similarly, 1.5 Flash outperforms 1.0 Pro, despite being more lightweight and efficient." 💸 Emphasising the importance of faster, more efficient, cheaper models, Gemini Flash is a new class of model explicitly designed to address these requirements. Because often we need something that responds quickly and costs less. When I say costs less, Gemini Flash is around 1/10th the cost of Gemini Pro. 🔥 But Google's not done with Flash as a smaller, more efficient model. The Gemini Technical Report also talks about a further model, Flash-8B, which is still under development. It's an even smaller model, optimised for uses such as large-scale data labelling and high-throughput agents, where speed and cost are major drivers. Of course Flash-8B is smaller and not as good as 1.5 Pro, but it's probably *good enough* for a whole class of uses. Not everything requires the most sophisticated AI available. 👉 These new models may not have set the world on fire with dramatic new capability leaps, but they do set *my* world on fire with faster, cheaper, more efficient models. They use less energy, they generate less CO2 (remember, we have a climate emergency), they cost less to use and they respond faster. If you need high-end capability then GPT-4o and Gemini Pro 1.5 both push the envelope on capability. This feels like the advancement we need - the option to pay more for better models, or pay less for more optimised and faster models.

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In today's tech-driven world, software development has a surprising impact on our environment. Enter sustainable software design, a movement that aims to create code that's efficient and environmentally friendly. Take Dutch programmer Danny van Kooten, for example. By slimming down his Mailchimp WordPress plugin by just 20 kilobytes, he managed to cut global CO₂ emissions by 59,000 kilograms per month. That's the equivalent of multiple transatlantic flights being grounded simply through smarter coding. But the changes don't stop with small tweaks. Major digital infrastructures like streaming services and Bitcoin mining operations are huge energy hogs. Did you know Bitcoin mining consumes as much electricity annually as entire countries like Sri Lanka? Efforts to make these systems more efficient are crucial. Even AI development isn't off the hook. Training a single AI model can generate the same amount of carbon as five cars over their lifetimes. Clearly, making software more sustainable is a big deal. By designing software that consumes less energy and cutting unnecessary data transfers, developers can significantly reduce the tech industry's carbon footprint. Imagine if every website boasted about its low-energy usage—it could spark a green revolution in tech. Sustainable software design isn't just a buzzword; it's a necessary shift towards a greener future. So next time you code, think about the planet. Small changes can have a massive impact.

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AI is not the golden “jack-of-all-trades” goose that makes humans obsolete. Many people think: "AI takes responsibility off our shoulders." They believe the system works perfectly right away and renders humans unnecessary. In my opinion, that’s wrong. At the end of the day, humans will always be responsible. Does an autopilot take away responsibility? No. The pilot is still responsible, not the airplane. I say this as a hobby pilot. So, you can’t hold AI accountable either if something goes wrong. You will always need a human with complete oversight who can approve decisions. The same applies to flying. The pilot must know all the systems and constantly monitor them. If you believe everything runs automatically, you risk something called: Automation Complacency. This means you stop paying attention because everything works automatically. And when an incident occurs, you have no idea what’s happening or how to respond. Therefore: We don’t work against AI; we work with it. 🤝 #rethinkcompliance

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How to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code https://lnkd.in/eq-WVyHV Start studying via portal Video instruction to get credits here https://lnkd.in/ei6r2idn The program description is here https://lnkd.in/ei6wH62q #BuilswithAI

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Got inspired by a dutch podcast that creates stories from wikipedia pages. I used gpt-4o and their text-to-speech model to build something that sounded human. Of course it's not as great as the original podcast but this tech works way better than expected! Try it yourself 👇 Huggingface Space: https://lnkd.in/eKdT3XBY How did I do it? - Use <break time="1s"/> tag on strategic places to create breaks. - The TTS model is smart enough to understand these tags! - Prompt to use colloquialism english. - Use filler words like "um", "well", ... Bonus: I also generated an intro song using facebooks "MusicGen" and tweaked it a bit with with online tool called "AudioMass" Tools I used: AudioMass: https://audiomass.co/ MusicGen: https://lnkd.in/eAfjHZzA If your dutch speaking; the original podcast is called "Nooit Geweten", I can highly recommend: https://lnkd.in/ex66X6_a #gpt-4o #text-to-speech #tts #huggingface #spaces #podcast

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Netherlands narrowly defeated by Austria: #AI analyzes the match and gives tips for improvement. Why the Netherlands lost: ♦️Poor start: An own goal by Malen after 6 minutes set the tone for the rest of the match. ♦️ Ineffective attack: Despite a lot of possession, the Netherlands was unable to create any real chances. ♦️ Defensive errors: Individual errors cost the Netherlands two goals. ♦️ Lack of creativity: The game was predictable with too little creativity in midfield. AI's tips for improvement: ⚽️ Better start: Start the game well and avoid chasing deficits. ⚽️ More effective in attack: Make better use of chances and create more threat in the box. ⚽️ Fewer mistakes: Reduce individual errors in defense. ⚽️ More creativity: Find solutions in midfield with an unpredictable style of play. ------‐ Of course, AI can also be useful for football analysis. But when it comes to making a real impact, business processes are a much more suitable application😉

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MAKE A HIT RECORD IN A FLASH AND GENERATE ITS MUSIC VIDEO IN MINUTES TOO. Here's the tutorial (the Suno part is real-time by the way!) In the Netherlands, a cheesy sounding AI-generated track has entered the Top 40 list of most popular songs: 'Zo Zomer' by 'John de Koning'. My friends and colleagues were astounded and asked me about the ease of creating a pop hit using only #GenAI. So I crafted them a brief tutorial to demystify the process and I’m excited to share it with you all here on LinkedIn as well. Along with Arno Coenen M.F.A. - my partner in #CollaborAItors Art Collective - we have also produced a fun video clip for you to enjoy. The lyrics are a creative mashup (sorry, it's Dutch) I made from a Ramses Shaffy song 'Zing, Vecht, Huil, Bid, Lach, Werk en Bewonder' - (Sing, Fight, Weep, Pray, Laugh, Work, and Admire). I thought it would be nice to put these on a Industrial, Punk, Wave, Electro sort of tune... By watching my six-minute tutorial, you will learn how to: 1. Create a hit record in less than 5 minutes. 2. Quickly generate an AI-powered video clip to complement your hit song. 3. Enhance your production with AI-generated video effects. 4. Familiarize yourself with creative AI tools, accessible via your smartphone. All tools are readily available, with some offering free plans. Enjoy creating! Kaiber, CapCut, Suno, #Suno, Udio

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OpenAI didn't have a great week, losing out twice: first to Runway's Gen-3 and then to the Moshi voice AI model. Here’s what else you missed in AI this week: 🧠 𝗜𝗺𝗮𝗴𝗲𝘀 𝗳𝗿𝗼𝗺 𝗯𝗿𝗮𝗶𝗻 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝘆 👉 Radboud University developed AI to reconstruct images from brain activity recordings accurately. 👉 The AI uses fMRI and electrode recordings, significantly improving reconstruction accuracy. ​ 👉 This tech could help stroke victims and recreate dreams, despite dataset limitations. 💬 𝗠𝗼𝘀𝗵𝗶 𝘃𝗼𝗶𝗰𝗲 𝗔𝗜 👉 Kyutai's Moshi, a real-time AI voice assistant, offers 70 emotions and speaking styles. 👉 Moshi features 160ms latency, surpassing OpenAI, and will be open-sourced soon. 👉 Developed by 8 researchers in four months. 🍏 𝗔𝗜 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲’𝘀 𝗩𝗶𝘀𝗶𝗼𝗻 𝗣𝗿𝗼 👉 Apple is adapting its new AI features for the Vision Pro headset. 👉 Features include improved Siri, writing tools, and an OpenAI-powered chatbot. 👉 High price tag might deter users, despite advanced AI capabilities. 🎥 𝗥𝘂𝗻𝘄𝗮𝘆’𝘀 𝗚𝗲𝗻-𝟯 𝗔𝗹𝗽𝗵𝗮 👉 Runway's AI video generator Gen-3 Alpha is now available to all users. 👉 Gen-3 Alpha improves character consistency, camera motion, and scene transitions. 👉 Limited generation time for standard plans may challenge power users despite impressive features. 🏃‍♀️ LLM routing framework 👉 RouteLLM is an open-source framework for cost-effective routing between large language models. 👉 It routes queries between expensive and cheaper LLMs, optimizing cost and performance. 👉 RouteLLM achieved cost savings while maintaining 95% of GPT-4's performance in tests. Did you like this post? Please share ♻️ it with your network! Let me know about your favorite AI news this week in the comments 👇 --------- ➕ Follow Sebastian Illing for the latest AI news. ♻️ Repost to keep your network up to date.

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Just tried a newly hyped version of ChatGPT! And it started to hallucinate IMMEDIATELY... you can do better, ChatGPT, I wasn't even trying to test you! 🤣 (not denying the progress and the coolness of the search feature) #ai #aiisnotaiyet #chatgpt

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[ Most advice on using No Code tools are wrong ] 🗣️ There are hundreds of companies promoting no code, low code & Ai tools. Im in this "No code" space for almost 3 years and prior to that i used to do a lot of traditional coding. I agree that no code tools and AI is the future, here's the common marketing gimmick i see: ● 𝗬𝗼𝘂𝗿 𝗨𝗜 𝗮𝗻𝗱 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗼𝗻 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 ● 𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 ● 𝗕𝘂𝗶𝗹𝗱 𝗮𝗽𝗽𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 ● 𝗡𝗼 𝗰𝗼𝗱𝗲 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱 There are many more but i'll try to keep things short. I've tried close to 30 - 50 tools out there ranging from No code and AI. What they don't tell you is ● 𝗛𝗮𝘃𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗨𝗜 𝗮𝗻𝗱 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗼𝗻 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 is a disaster, believe me you'll eventually move from that platform once you want to scale and migrating to other no code tools will be your worst nightmare. ● 𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆, most no code tools uses "component" based system. so if the component you want for example "calendar" is not available --> then you will need to build your own calendar component --> you go back to code. ● 𝗕𝘂𝗶𝗹𝗱 𝗮𝗽𝗽𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝗵𝗼𝘂𝗿𝘀, yeah.. if you're building a landing page with their templates. if you are building anything that involves logic it will take a couple days ( if you're an expert ) ● 𝗡𝗼 𝗰𝗼𝗱𝗲 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗱, this is true for some no code tools ( which i currently use ) but most tools out there requires you to code just for a simple query logic. 💡 Don't get me wrong, i'll never go back to traditional coding anymore because there are tools out there that can literally build your product without needing engineer and 10x faster ( if you know which tool ) Here are my final tips for anyone that wants to leverage no code and AI tools ● Use tools that are specific frontend and backend ● Find tools that allow you to export code or at least bring your own infrastructure to the platform ● Find companies that has strong cashflow or investment ● Check their forum to see the active members on their platform, because you will get stuck at some point and need help ● Never ever use tools that charge you based on number of "actions" performed by your users There are many more, but these tips should prevent you from massive headache in the future. I've been there and it sucks cheers 🍀 See you on the next post #Linkedin #Productivity #Nocode #Ai

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EN: Do you use Gmail, YouTube or the Google search engine? Is your phone running Android? Do you sell online with Ads? Have you subscribed to or paid for an app on Play? Have you ever left your paper map guide at home and relied on Maps to get where you wanted to go? There’s nothing more to say. All these services belong to Alphabet, Google’s parent company, focused on technology and services such as internet search, digital advertising, mobile operating systems, and AI development. It operates in over 50 countries, with a strong presence in the U.S., Europe, and Asia. Alphabet dominates the global search market with over 90% share through Google. A solid future is expected, driven by innovation in AI and expansion in areas like cloud computing and autonomous vehicles. DE: Nutzt du Gmail, YouTube oder die Google-Suchmaschine? Hat dein Handy Android? Verkaufst du online mit Ads? Hast du dich bei Play für eine App angemeldet oder eine bezahlt? Hast du jemals deinen gedruckten Stadtplan zu Hause gelassen und dich von Maps dahin navigieren lassen, wo du hinwolltest? Es gibt nichts mehr zu sagen. All diese Dienste gehören zu Alphabet, der Muttergesellschaft von Google, die sich auf Technologie und Dienste wie Internetsuche, digitale Werbung, mobile Betriebssysteme und die Entwicklung künstlicher Intelligenz konzentriert. Alphabet ist in über 50 Ländern tätig, mit einer starken Präsenz in den USA, Europa und Asien. Alphabet dominiert den globalen Suchmarkt mit über 90 % Marktanteil durch Google. Eine solide Zukunft wird erwartet, angetrieben durch Innovationen in der KI und die Expansion in Bereiche wie Cloud-Computing und autonome Fahrzeuge. ES: ¿Utilizas Gmail, YouTube o el buscador de Google? ¿Tu móvil tiene Android? ¿Vendes por internet con Ads? ¿Te has subscrito o has pagado alguna aplicación por Play? ¿Te has dejado la guía de mapas de papel en casa y Maps te ha llevado a donde querías? No hay más que decir. Todos estos servicios son de Alphabet, la empresa matriz de Google, enfocada en tecnología y servicios como búsqueda en internet, publicidad digital, sistemas operativos móviles, y desarrollo de inteligencia artificial. Opera en más de 50 países, con fuerte presencia en EE.UU., Europa, y Asia. Alphabet domina el mercado global de búsqueda con más del 90% de cuota a través de Google. Se prevé un futuro sólido, impulsado por la innovación en IA y expansión en áreas como la nube y vehículos autónomos. #Alphabet #GOOGL #GOOG #YouTube #Gmail #Google #Ads #Play #Maps #Gemini #finance #investing #stocks

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𝗔𝗜 𝗶𝗻 𝘁𝗵𝗲 𝗪𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲: 𝗙𝗿𝗶𝗲𝗻𝗱 𝗼𝗿 𝗙𝗼𝗲 𝘁𝗼 𝗦𝗼𝗰𝗶𝗮𝗹 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗼𝗻? Imagine a super-efficient work life thanks to AI! But what if all that efficiency comes at a cost - loneliness? A new study by David De Cremer and Joel Koopman reveals that while AI can boost productivity, it might also leave us feeling isolated from colleagues. This can lead to burnout and even health problems. 𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗴𝗶𝘀𝘁: AI helps us get more done, but it can also reduce opportunities for casual chats and team bonding. Feeling lonely at work can lead to negative habits like increased alcohol consumption and trouble sleeping. Companies need to find a balance between efficiency and human connection. 𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗱𝗼? Monitor employee well-being: Don't just focus on output, track employee happiness and social connections too. Redesign workflows: Make AI work with humans, not replace them. This can create a more fulfilling work experience. 𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗔𝗜 𝗮𝘀 𝗮 𝘁𝗼𝗼𝗹: Use AI to free up time for social interaction, not eliminate it altogether. Organize team lunches or coffee breaks! ☕ AI can be a powerful tool, but it shouldn't come at the expense of our social connections. Link to full article in the comments!

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Are you someone who wants to make a real impact and look back one day and say, "𝐈 𝐰𝐚𝐬 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐚𝐭"? Then you (🫵🏽) might just be the developer who can help bring Starflow’s vision to life! Let’s get one thing straight: working at Starflow isn’t just about writing code. It’s about creating something new from the ground up, breaking boundaries, and tackling challenges head-on. But rest assured – the founders promised me there’ll also be plenty of fun along the way! Curious if you and Starflow could be the right match? Check out the job ad in the comments! 👇🏽 Jonas Helmikstøl Nikolai Konopelko Ola Stengel

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Roasting my own LinkedIn Profile using chat GPT. This will pollute your feed in the coming weeks. Best quote: "Running a startup program with a 22% survival rate—better odds than Russian roulette, but not by much. 🎲" 🚀 Jeroen Coelen: The PhD Researcher Who’s Still Trying to Find the Fit—Any Fit 🔍 Summary: PhD researcher on early-stage startups, in early-stage research, with early-stage insights. Please don’t reach out to me unless you’re prepared to discuss the existential crises of your startup—preferably in meme form. 😂 💼 Experience: ➡️ I Want Product-Market Fit Startup Workshopper & Mentor (Jan 2018 - Present) Because, clearly, we haven't found it yet. Six years of hosting workshops, mentoring startups, and creating content, all while desperately searching for that elusive product-market fit. Still looking... 🕵️‍♂️ ➡️ Technische Universiteit Delft PhD Candidate (May 2020 - Present) Researching how entrepreneurs mold their ideas into something that works. Fun fact: still molding my own. 🧠 ➡️ Pre-incubator Program Manager Build Your Startup (Aug 2017 - Present) Running a program with a 22% survival rate—better odds than Russian roulette, but not by much. 🎲 ➡️ Global School for Entrepreneurship Teacher (Aug 2021 - Feb 2023) Taught the 'Lean Startup' module because, apparently, startups need to be lean to survive the grind of academia. 🏋️‍♂️ ➡️ Bit Part of the Team (Aug 2018 - May 2021) Set up a research team to work on corporate innovation projects—where we innovated new ways to innovate. 🔄 ➡️ Werkspot Innovation Manager (Mar 2016 - Jul 2018) Spent almost three years as Innovation Manager. The result? An ongoing search for what, exactly, needed to be innovated. 🤔 ➡️ Just in Case (Co-founder) Jul 2013 - Jun 2015 We launched an app, it flopped, but hey, I’ve got a great story to tell about failure—if you can handle the truth. 📉 ➡️ Aquavaganza (Co-founder) Dec 2010 - Nov 2012 Started a student pool party that became Eindhoven’s biggest, proving that at least one of my ideas managed to stay afloat. 🏊‍♂️ Via David Olthaar via Ohad Gilad

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I'm currently working on a web application that is 100% built/coded by generative AI. It will soon be available in beta to anyone. So I thought, why not redesign and code my personal website 100% by AI. Here is the result: https://lnkd.in/evFJQwaG I let Claude 3.5 Sonnet do the design part into a HTML mockup and transformed it with ChatGPT 4o into a Wordpress theme. I absolutely did not anything other than copy paste code. What do you think? I used the starting prompt: "Act as a visual designer. I need a design for a personal website. It must be visually appealing, modern, and responsive. I am a digital strategist and digital transformation lead. My focus includes consultancy, advisory work, customer experience, generative AI, and guiding clients in their digital ambitions, CX via digital channels, composable architecture, and more. Create the design using vanilla HTML, CSS, and JavaScript in the artifact window." From there I prompted for an hour or so in refining, changing and improving the design, animations, etc. #generativeai #artificialintelligence #ai #claude #chatgpt

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This time, we don’t ask. We state. DePIN is indeed an opportunity for Web3 to throw down the gauntlet to such players as Google or Amazon ⚔️ To back up this thesis, together with the Onchain Foundation Research Team, we: - Created an overview of business models used by DePIN projects. - Evaluated their efficiency and indicated the best practices. - Designed the recommended business models entrepreneurs can use to build proper Web3 ventures. Then, can Akash Network fight with AWS and Azure? Will NATIX Network compete with Google Maps? And may Livepeer become the first choice for everyone who wants to leverage the generative AI video? It’s all possible, but… ➡️ … you need to check the entire piece to understand how DePIN projects can cross the mythical chasm and attract the masses: https://lnkd.in/epnHX6Vc Many thanks to the entire Research team: Dr. Ananya Shrivastava, Arin Soleymani, Ambreen Khral, Boris Agatić, and the Content and Design masterminds: Ruth M. Trucks, Lucas De Melo, Chris Braithwaite, and Sven Kamieth, for contributing to the piece. Also, a huge shoutout to our partners, Alireza Ghods, Ph.D. from NATIX Network, Greg Osuri from Akash, Alex Rawitz from DIMO, and the entire DFINITY Team, who provided a ton of valuable insights. It’s been a pleasure to collaborate with all of you! 🤝

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