📰 #WeeklyTechNews 👇 🤖 Anthropic has launched a program to fund advanced benchmarks for evaluating AI models, including its own Claude. The initiative highlights the need for high-quality, safety-relevant evaluations in the fast-evolving AI field. 🏦 Revolut reported a record profit of $545M for 2023, doubling revenues to $2.2B, a 95% increase from the previous year, as it hints at plans for IPO. New customers, higher interest rates, and expanded high-margin revenue streams drove growth. 🧵 Meta’s Threads has hit 175M users as it nears its one-year mark. Launched as a rival to Elon Musk's X, Threads has grown steadily since its debut, and executives are now considering ads to boost revenue. 🇫🇷 Kyutai, a French AI lab backed by billionaire Xavier Niel, former Google CEO, Eric Schmidt, and CMA CGM CEO, Rodolphe SAADE, unveiled its new voice assistant, Moshi, capable of expressing 70 emotions. Founded last year, the non-profit group plans to release the models and research as open-source, highlighting Europe's potential in AI development. 🚀 The EU plans to formally warn X (formerly Twitter) for not addressing dangerous content under the Digital Services Act (DSA). X could face fines of up to 6% of its global revenue if found in violation, as part of a broader EU crackdown on tech firms to ensure compliance with the DSA, which mandates content moderation, user privacy protection, and public risk management. #VivaTech
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Google reportedly spent an astounding $2.7 billion to bring back AI expert Noam Shazeer, a former employee who left the company in 2021 to start his venture. Noam Shazeer, an important figure in Google’s early AI efforts, left the company to launch Character.AI, a startup that allows users to engage with chatbots representing well-known figures and fictional characters. While Google officially stated that the hefty sum was meant to license the startup’s technology, reports from The Wall Street Journal suggest that Shazeer’s return was the primary reason behind the $2.7 billion deal. This massive investment highlights the skyrocketing costs tech companies are willing to incur in order to secure top AI talent. As Stanford AI Lab Director Christopher Manning remarked, “Noam is clearly a great person in that space. But is he 20 times as good as other people?” This sentiment encapsulates the broader debate about whether such high expenditures on individual expertise are justified. . . Moral of the story if you have the skills world will running behind you 😁 #google #AIResearcher #NoamShazeer N.B: This post is dedicated to those who are weak mental state. Be strong learn new skills.
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We spoke with Marko Vidrih, co-founder of CREATUS.AI, about their shift from social media tool development to providing easy-to-use AI solutions for businesses. He shared 5 valuable steps they’ve taken to improve their platform so now I'm sharing this with you: 1. Their growth is fueled by real user feedback. Simple, yet so effective. 2. Early adopters came directly from Marko's own network. 3. They're investing heavily in R&D while maintaining a sharp eye on financial management. 4. They produce content that not only shows but also explains how their AI tools solve business problems. 5. Their no-code approach has opened doors for everyone, proving to be a major advantage. Read more about their journey here 🔥🔥🔥 https://lnkd.in/etR5u9yZ
Case Study #10: The Rise of Digital Co-Workers: CREATUS.AI's Vision for the Future of Work
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I've never been a big fan of Mark Zuckerberg, and I don't believe that Facebook has been a net positive for society. That said, I do think his perspective on AI is correct: “we need open-source AI”. Closed systems will never be entirely secret. And the idea of a small group of companies controlling it all is a recipe for disaster. Openness in AI will fosters innovation, transparency, and collaboration. An open-source ecosystem will enable smaller companies to innovate around shared models, leveling the playing field and preventing monopolies from stifling progress. Moreover, AI models rely on data that should be public—after all, it’s our data..not theirs. Model builders shouldn't be able to own this data outright. Instead, they should pay licenses to the government to access it, similar to how spectrum licenses work. This will ensure that the data remains a public asset while allowing responsible use under regulated terms. Open-source AI and public ownership of data can drive more equitable innovation and ensure that the benefits of AI are shared widely, not hoarded by a few.
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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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"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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Our latest article highlights clearly that AI is already beginning to generate returns for companies at the forefront of AI but that much more is yet to come. Definitely worth a read.
The AI frenzy shows no sign of slowing but for investors a key question is when will AI begin to generate meaningful returns for investors? In our latest article, the Liontrust Global Innovation team examine the huge capital expenditure being allocated to AI infrastructure by giants such as Meta, Amazon and Microsoft and looks at how early AI use cases are already driving returns. Nor is it just the tech giants and megacaps, there are smaller companies and those outside the technology sector that are also using AI to drive revenues and move ahead of their competitors. Read more: https://ow.ly/IGNX50TiRMY Capital at risk. This should not be construed as investment advice. #GlobalInnovation #FutureTechnology #AIRevenues
The elusive return on AI investment – it exists | Insights | Liontrust Asset Management PLC
liontrust.co.uk
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How bright really is the future of AI? It seems like tech companies and Wall Street are disagreeing somewhat, but what do you think? Is it really going to revolutionise everything we do or are billions being wasted on technology people just don't want or need? When speaking about AI, most people are actually referring to large language models (LLMs) like ChatGPT, with ChatGPT seemingly being the starting-gun for the current land grab we're seeing from the tech giants. Sure ChatGPT is interesting, and in truth, I use it. It's a handy tool, but in my experience it's far from revolutionary. I'm using it a few times a month, on basic tasks, largely to speed up something mundane and manual. If it disappeared tomorrow, I probably wouldn't miss it that much. Jim Covello of Goldman Sachs said, “Despite its expensive price tag, the technology is nowhere near where it needs to be in order to be useful" and I'm inclined to agree given the money invested. It's hard to argue that the billions spent in recent years has led to something as revolutionary as the internet or mobile phone. However, when he goes on to say, “Overbuilding things the world doesn’t have use for, or is not ready for, typically ends badly" I'm a little less sure. Right now, this probably rings true, but there certainly seems to be a high ceiling for the potential of AI. I don't think it's worth giving up on just yet and I doubt the tech companies will either. Nonetheless, these grumblings around AI are certainly an interesting development. Only a year ago Goldman Sachs were saying AI could automate 300 million jobs around the world and increase global economic output by 7 percent in the next 10 years. This is in stark contrast to what they're saying now. Suddenly not everything is plain sailing. So what do you think? Is AI here to stay? Will it revolutionise our way of living and are we simply at the early stages of something huge? Or have LLMs like ChatGPT simply got us over excited about something that won't lead to fundamental change, causing tech companies to invest in a lot of hot air? Let me know your thoughts! #ai #chatgpt #stockmarket https://lnkd.in/e5ve9x9A
Big Tech says AI is booming. Wall Street is starting to see a bubble.
washingtonpost.com
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Noam Shazeer, a visionary AI expert and co-founder of Character AI, was always ahead of the curve. In 2021, while working at Google, he developed an advanced chatbot that he believed would revolutionize the tech world. However, Google’s cautious approach delayed its release, frustrating Shazeer. Determined to bring his vision to life, he made a bold move—leaving Google to forge his own path. Founding Character AI proved to be a gamble that paid off in extraordinary ways. By 2024, the platform had garnered over 20 million users and was valued at a staggering $1 billion. This success showcased the power of innovation and bold action in the AI space. Google couldn’t overlook Shazeer’s achievements. Instead of attempting to buy out Character AI, they strategically invested $2.7 billion, gaining access to his groundbreaking technology. Additionally, they welcomed Shazeer back to lead their ambitious Gemini AI project, signaling their intent to compete aggressively in the AI race. Shazeer’s journey is a testament to resilience and the willingness to take risks. He didn’t let initial setbacks hold him back. By stepping away and building something revolutionary, he ultimately returned to Google, this time with more power, influence, and freedom to lead. His story proves that sometimes, to make a real impact, you have to be bold enough to walk away and build your own path. #NoamShazeer #CharacterAI #TechVisionary #AIRevolution #BoldLeadership #GeminiAI #InnovationInAction
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"Google Paid $2.7 Billion to Bring Back an AI Genius Who Quit in Frustration" Google recently paid $2.7 billion to rehire AI pioneer Noam Shazeer, co-author of the foundational "Attention is All You Need" paper that sparked the AI boom. Shazeer left Google in 2021 after disagreements over releasing a chatbot he developed, founding his own startup, Character.AI. After the company struggled, Google struck a deal to license its technology and rehire Shazeer, sparking debate about Silicon Valley's spending on AI talent. Shazeer's return marks a pivotal moment as Google accelerates AI development, with him now leading its next-generation AI project, Gemini. Read more here: https://lnkd.in/g8uUM4zj #AI #Google #NoamShazeer #ArtificialIntelligence #CharacterAI #Gemini
Google Paid $2.7 Billion to Bring Back an AI Genius Who Quit in Frustration
wsj.com
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2moVery informative