"I remember talking to a friend in 2006 saying it felt like there was nothing innovative coming. It was a time when there didn’t seem to be any big breakthroughs, and companies were raising on stories like “we use AJAX,” or “we are a platform to add tag clouds to websites.” The platforms that were popping up, things like Reddit and Facebook, felt like toys. None of it felt like real innovation. But just a few years later I remember pointing out to that same friend that the reason it felt slow was, we moved from a technical innovation period through a user behavior change period. Adoption was slow and uncertain. No one knew what to do with these things, and the tools hadn’t hit any kind of mass adoption. Yet bubbling under the surface was something big. I don’t know what is next. Maybe it’s agents, maybe it’s edge AI. I’m doubtful it’s AGI. But something is brewing and in 2 years I think we will what the right theses were for investing in this phase of AI, and what types of companies are starting to win." https://lnkd.in/gJY_Cgzp
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Innovation with “Technology as lever”: With the exponential technological advancement, the industry presents an opportunity to use this advanced technology for more innovation in other areas. Let the tech giants and other emerging tech players outpace themselves in technology innovation. The rest in the tech space, instead of trying hands at "duplicate discovery" with technology, can work on real-life problems and innovate using the technology built by these tech leaders. There is a much bigger world of innovation out there, which needs these technologies to be used. Let’s take a few examples. 1. Who can remember Google+? It was developed to counteract Facebook’s product/market fit. Did it survive? 2. Meta’s Thread was an inspired take on X (FKA Twitter). Now, market trend shows, how many users still use this. So, what do we learn? 1. Our motivation for duplicate discovery is based on "business opportunities", even if, this turns out to be wrong. After all, everyone is trying to grab a piece of the pie. (The technology and Finance world are hit hard now for the same reason of “duplicate discovery, and greed on pie”). 2. Others think, they need to "offset the monopoly" of these established creations. Unfortunately, the homework (commodity, stability, product/market fit, and established value) was missing before the duplicate discovery was taken up. 3. Most importantly, instead of spending resources on something already created, we could have spent these resources on other areas and created something more useful for the world. Finally, we do not have to think of ideas to build something. Look around, we have a lot of problems out there to solve. We just need to solve them using technology and other resources. That will make both consumers and shareholders happy. With this commitment and ideology, BreatheIT is building Ultopia AI, using these very technologies to solve the global problem of "Lifestyle Stress" and bring harmony to the world community. #innovation #technology #AI #BreatheIT #UltopiaAI
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Strategic futurist & global keynote speaker - talk to my digital twin | Recognized Global Guru - Futurist | Embracing cutting-edge tech to inspire Fortune 500 companies | Shaping tomorrow's world | TED | 5x author
Why should we let tech elites decide our future when we can take the reins ourselves? ➡️ In the face of AI blunders like Google's Gemini, which refuses to acknowledge Hitler’s atrocities over Elon Musk’s tweets, it’s clear: AI governance shouldn’t be left to tech giants or governments. ➡️ Andrew B. Hall argues for a radical shift — empowering users to set the guardrails for AI. By creating a marketplace where users can fine-tune AI models to reflect their values, we decentralize control. This means avoiding a one-size-fits-all approach and enabling a democratic process for establishing minimal, central guidelines. ➡️ Experiments from Meta, OpenAI, and Anthropic are promising starts, but real change requires robust, binding voting systems and incentivized participation. ➡️ Although an interesting approach, it would risk creating ever more personalized filter bubbles that will be difficult to break through. ❓ The challenge remains: can we balance broad user input with effective, coherent governance without descending into chaos? Read the full story on VentureBeat: https://lnkd.in/gRB85Yjy #AI #ResponsibleAI #Future #BigTech #Elites ---- 💡 𝗜𝗳 𝘆𝗼𝘂 𝗲𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗯𝗲 𝘀𝘂𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗺𝘆 𝗻𝗲𝘄 𝗮𝗽𝗽 𝗳𝗼𝗿 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >5000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! 🚀
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Growth Strategy, and AI, web3 solutions for CEOs and business owners | Top AI and web3 Voice | 🎤 Keynote Speaker | 🎙️ Podcast Host | Alumnus: Sony, Nike, Walmart, Indian School of Business (ISB) | ⭐
𝐌𝐞𝐭𝐚 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐀𝐆𝐈 🤖 Zuckerberg emphasizes the necessity of building full general intelligence for the next-gen services in his latest reel on Instagram. Further, he plans on accelerating the path to AGI with a huge amount of compute, and more importantly, plans to open source it, a move diverging from OAI and others working behind closed walls. The open-source vs. closed-source debate in AI development echoes past discussions about the internet. The 'right answers' depends on who you ask 👀 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐛𝐫𝐢𝐧𝐠𝐬 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐯𝐞 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧: Harnessing the collective intelligence of the community accelerates innovation 𝐓𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐜𝐲: Open source ensures AI is not a black box, allowing users to understand its workings 𝐓𝐫𝐮𝐬𝐭: Users gain confidence when they know what an AI has been trained on, fostering trust in its outputs 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Open source enables adaptation to wide domain-specific needs, promoting flexibility. 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Open-source AI supports an inclusive and skilled workforce by providing a learning platform for developers. … On the flip side: 𝐂𝐥𝐨𝐬𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐈𝐏 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Closed-source excels in safeguarding intellectual property. 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Closed source facilitates adherence to regulatory standards and compliance. 𝐌𝐨𝐧𝐞𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Closed-source models offer opportunities for effective monetization strategies. ... All benefits are not mutually exclusive. The optimal choice really hinges on context, application, and ethical considerations, requiring a delicate balance between innovation, transparency, security, and business interests. The larger question will always be, How much centralisation of this powerful tech is acceptable so the universe stays in a state of equilibrium? Where do you find yourself in this nuanced debate? ----- 🔔Follow me for content on emerging tech 🤖✨ #AI #OpenSource #ClosedSource #TechEthics #agi #meta 🤖✨
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🔊 Today's headlines: - Reddit acquires startup Memorable AI to help improve its ad performance - Google improves transparency features for Performance Max - UK Gov shelves £1.3bn of funding for tech and AI projects
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𝗧𝗼𝗽 1% 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗔𝗜 𝗩𝗼𝗶𝗰𝗲, AI Business Strategist, 15+ Years in Marketing as Agency Owner, Author and Speaker
😎 🤖 𝕄𝕪 𝕄𝕒𝕣𝕜𝕖𝕥𝕚𝕟𝕘 𝕒𝕟𝕕 𝔸𝕀 𝕡𝕣𝕖𝕕𝕚𝕔𝕥𝕚𝕠𝕟𝕤 𝕗𝕠𝕣 𝟚𝟘𝟚𝟜 𝘈𝘋𝘋 𝘠𝘖𝘜𝘙𝘚 𝘐𝘕 𝘛𝘏𝘌 𝘊𝘖𝘔𝘔𝘌𝘕𝘛𝘚! (It's for fun and unlikely any of us will be completely right but what if you get one??) 1) Google will keep using lists next year and allow space for generative answers on the side. 2) A new social media will emerge that people weren't expecting. I just feel it. Possibly something from Apple. 3) Facebook will double down on Instagram and Threads. TikTok will continue to kill it. 4) Most AI companies funded this year will struggle hard next year. The visual advances of this year will be the most drastic, everything in 2024 will only be incremental. 5) AI will need to adjust to the work space and the practical uses will be found. We will still be grappling with the legality all next year. 6) Robotics will become a larger conversation and a bigger part of the economy. 7) As an election year, AI-generated content will wreak havoc. So research anything before you post it to avoid looking silly later. #ai #marketing #artificialintelligence #socialmedia
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🚀When Tech Titans Collide... in the Funniest Way Possible!🚀 Ever wondered what happens when two tech CEOs decide to have a little fun on social media? Well, wonder no more! Perplexity AI's CEO Aravind Srinivas and Nothing's CEO Carl Pei recently had a hilarious exchange on X (formerly known as Twitter), and it's everything we needed to brighten up our feeds!😂 In a delightful twist of events, Aravind humorously expressed his desire for a partnership between Perplexity AI and Nothing. Imagine the possibilities: AI-powered earphones that not only play your favorite tunes but also answer your burning questions about the universe! ✨ 🎧 Check out the full exchange here: [Perplexity AI CEO Aravind Srinivas' funny X exchange with Nothing's Carl Pei]( https://lnkd.in/dvBQW3xH ) And while you're at it, if you're curious about how AI is revolutionizing search engines and giving Google a run for its money, head over to [Ranx.ai](https://ranx.ai) to see the latest rankings and insights on the best AI search tools out there. Who knows, you might just find your next favorite search engine! 😉 #TechHumor #AI #PerplexityAI #Nothing #Innovation #TechTitans #RanxAI
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To kick off 2024, I'm going to be doing some Building in Public. I've always been a fan of radical transparency. Two of the startups that I co-founded were eventually acquired based on how public we were about what we were working on right from the beginning. New ideas can be a little bit fragile, so my philosophy is to do enough research to get excited about the opportunity, then go execute. If you keep researching, you're going to find lots of compelling reasons why the idea won't work and you're going to talk yourself out of trying. The trying, and learning, and building is where the fun is and how you create value. And sometimes the value you create or discover isn't even what you set out to build (I've sold a company for high seven figures where the acquirer wasn't interested in the problem we solved, but a different application of the tech entirely). As someone who's spent the past six years on management teams, I'm personally very interested in human social connection and its relationship to employee engagement in a world of increasingly diverse and remote teams. I'm also interested in how a social networking approach, turbocharged by ML and AI, could be leveraged to address some of the challenges in that area. The result is TeamSpark.ai. This project draws upon on my background in building cloud services and mobile apps, and in collaborative filtering, combined with some really great new AI technology. I've *really* enjoyed getting my hands dirty and "building" (coding) over the past couple of months. The velocity that can be achieved with contemporary cloud services and tooling, modern frameworks, dev tools, AI services (and, of course, Copilot) is pretty amazing. So check out the website. And if you've been a fan of my manifestos, fear not, there is the start of one at https://lnkd.in/g6E6SZqB (I tried to write a "one-pager", but three pages was the best I could do). #buildinginpublic https://www.teamspark.ai
TeamSpark
teamspark.ai
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Energy is life. Biologically, socially, and economically. Apollo Energy Analytics (Helios IoT Systems) is a promising startup in Renewable Energy Analytics space with job openings of interest. Please tag anyone suitable.
Mark is an incredible CEO. What particularly stood out to me from our conversation was how deeply he thinks about open source and how it'll benefit Meta (and the world) in the long term. A few of my favorite moments/quotes: On the future of AI agents: "I think we're going to live in a world where there are going to be hundreds of millions or billions of different AI agents eventually, probably more AI agents than there are people in the world." On the integration of AI into businesses: “Every business in the future, just like they have an email address, a website, and a social media presence today, is going to have an AI agent that their customers can talk to in the future.” On his opinion of open-source safety: "Not only do I think [open source] it's safe, I think it's safer than the alternative of closed development." On the potential of AI to accelerate innovation: "AI has more potential than any other single technology that's being developed right now to increase productivity, accelerate the economy, and make it that every person has the ability to be more creative and produce more interesting things." On his vision for the future of tailored AI solutions: "Our vision is that there should be lots of different models. I think every startup out there, every enterprise, every government, they all kind of want to have their own custom models." ~ Rowan Cheung (via the 𝕏 platform)
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Making money & creating value aren't always the same thing. On this platform of mostly middle-to-upper-class knowledge workers, the notion that AI will be central to our future is inescapable. Where there's hype, it helps to periodically stop & take stock. A sober look at where we are and how we got here. New technologies have so many implications. Economic, environmental, political, social, spiritual. Much of it we have little control over unless we choose to reject society completely. It's the world we live in! Many of the perspectives on LinkedIn regarding AI are pretext to sell something. B2B GTM motions, as it were. Subscriptions, services, labor arbitrage. As we've seen with NVIDIA & so many others. There's plenty money to be made. But making money & creating value aren't always the same thing. As consumers, citizens, everyday humans, we've noticed the proliferation of AI content. Oh there's some funny stuff, but there are also deepfakes that are so concerning. Most of us have lived in the less connected/pre-smart phone era, but our children don't know a world before ubiquitous broadband connection & AI. They lack the degree of discernment that we have. I realized this watching the Stanley Cup with my son. He asked me how they change the ads on the rink's wall instantaneously. He didn't understand that it wasn't a physical ad that was changing, just digital content on a green screen. Such a simplistic and harmless example, but an insight into how he's constructing his understanding of the world. They don't have the same concept of real/reality/augmented/fabricated. It has nothing to do with smart. It's a matter of context. They lack the contexts we've experienced, and to me that's frightening. David Wallace-Wells isn't trying to sell anything. He's not an AI doomer, either. David isn't on the payrolls of Microsoft, Salesforce and their likes. Full disclosure, The New York Times is suing OpenAI. I don't know all the details, but I'm rooting for journalism & artists. I suspect Tech will prevail. (Link in comments to keep the Algo Gods happy) #humanmade #noai
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