Kevin Neary’s Post

Alphabet Inc., the powerhouse behind Google, recently took a massive $70 billion hit in market value. 🚀📉 This event serves as a critical reminder: in the modern business world, 𝐀𝐈 𝐢𝐬 𝐧𝐨 𝐥𝐨𝐧𝐠𝐞𝐫 𝐚 𝐥𝐮𝐱𝐮𝐫𝐲—𝐢𝐭'𝐬 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥. Companies failing to integrate AI effectively are at risk of becoming obsolete. In today's tech-driven market, AI has transitioned from a 'nice-to-have' to a 'must-have' for all businesses. The stark reality is that companies unable or unwilling to adopt AI technology face a grim future of becoming outdated and irrelevant. This shift to AI as a standard is reshaping industries, and businesses that lag behind in this transition will be viewed as laggards. 💸 Alphabet's valuation plummeted by over $70 billion due to issues with their AI chatbot, alarming investors and showcasing the chatbot's bias and errors. 📉🤖 The stock fell 4.4% in one day, reflecting fears over faulty AI. This proves that AI is not just a perk but a core requirement for businesses today. Without it, companies risk falling behind. 😕 The chatbot's failures have raised doubts about Alphabet's AI capabilities. This situation highlights how essential dependable AI is for maintaining consumer trust. 🔧 Google is addressing the issues, pulling the problematic chatbot feature for fixes. It's crucial for AI tools to work correctly from the start. 🚩 The controversy around Google's AI biases, exacerbated by a Google manager's tweets, stresses the importance of unbiased, fair AI in maintaining a company's reputation and trustworthiness. In today’s fast-paced market, AI is a fundamental element for success. Companies ignoring this trend risk being left in the dust. The lesson from Alphabet's setback is clear: adopting and integrating AI effectively is not optional; it is essential for survival and growth.

This week in the field of artificial intelligence, notable developments include updates from the Federal Trade Commission (FTC), collaborations between companies, and the implementation of AI solutions in enterprise settings. Generative artificial intelligence has propelled Microsoft to a market valuation of $3 trillion, solidifying its standing as one of the largest public stocks alongside Apple. Despite the growth, the Federal Trade Commission (FTC) has initiated an inquiry into the AI sector, directing major tech companies, including Alphabet, Amazon, Anthropic, Microsoft, and OpenAI, to provide information on their investments and partnerships in the AI space. In terms of AI integrations, PayPal and AffiniPay are leveraging AI to enhance checkout experiences and personalize recommendations. Etsy has introduced a hub using AI human curation for gift suggestions, while retailers are incorporating generative AI capabilities into their strategies. PYMNTS Intelligence indicates that AI-enabled experiences in shopping surpass those in banking according to consumer preferences. OpenAI has introduced new embedding models, API usage management tools, and pricing reductions to facilitate the seamless integration of AI into operations. Apple is reportedly working on bringing AI to the iPhone, and Samsung has unveiled the Galaxy S series as part of the surge in AI-powered smartphones expected to ship in the coming years. Partnerships are emerging as a popular approach to commercializing AI, driven by the substantial resources and costs involved. The National Science Foundation has launched the National Artificial Intelligence Research Resource program to increase access to AI resources beyond major tech companies. The White House aims to make AI beneficial for small businesses, and Google has partnered with Hugging Face for developers to utilize Google Cloud infrastructure. Meta is consolidating its AI divisions, emphasizing product-level progress in developing general-purpose AI chatbots and securing top talent in AI engineering. This shift indicates a focus on practical AI applications rather than strategies like the metaverse, which is incurring significant losses for Meta. #startup#startupindia#startupnews#startupindianews#startiyapa#motivationalquotes#workout#gym#instagram#fitnessmotivation#goals#mindset#fit#training#positivevibes#follow#happy#selflove#bhfyp#bodybuilding#happiness#

Facebook is creating problems for Google & Microsoft In turning AI profitable 🤑 The Meta team over at Facebook is pulling some impressive maneuvers. While they might not excel at launching entirely new products (most successful Meta launches involved taking over existing ones), they sure know how to defend their territory. Their latest target? 🎯Google and Microsoft. And the blows they're dealing are significant. But why the sudden aggression? 🤔 After all, Facebook isn't in the search business, and Microsoft isn't their top competitor either. It all boils down to AI. Both Google and Microsoft have pursued similar paths in AI development. They've built closed-source, extensive systems that users can access but not truly own. With millions 🤑 invested in AI, they're expecting returns on their investments. But Meta has taken a sharp turn. ↩️ They're pouring millions into AI development and giving it all away—for free. Yes 😃 The latest release, LLama3, outshines even GPT4, and the best part? You don't have to pay a dime for it. What's Facebook's endgame? They aim to democratize generative AI, making it accessible and achievable even for small companies with tight budgets. By offering ready-made models and research, they intend to render Google and Microsoft obsolete in the AI arena. AI represents the next major frontier, and Google can't rely on its dominance in search to fend off this challenge. Its only hope is to reign over AI just as it reigns over search 😐 As for Microsoft, the stakes are equally high 😓 Having poured over $10 billion into OpenAI, they're banking on dominating the AI landscape. The pressure is on—it better pay off! Mark Zuckerberg's move to offer AI for free is giving them sleepless nights. But he's unfazed, knowing that AI has little direct impact on his core business. People will still flock to Instagram and indulge in reels 😁 Is it a savvy move? Time will tell. I will keep you updated like always 😉

🔥 "𝐆𝐨𝐨𝐠𝐥𝐞'𝐬 𝐀𝐈 𝐃𝐨𝐦𝐢𝐧𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐌𝐚𝐫𝐤𝐞𝐭 𝐈𝐦𝐩𝐚𝐜𝐭 📊💡" 🔥 "𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐆𝐨𝐨𝐠𝐥𝐞'𝐬 𝐀𝐈 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬, 𝐦𝐚𝐫𝐤𝐞𝐭 𝐢𝐦𝐩𝐚𝐜𝐭𝐬, 𝐚𝐧𝐝 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧𝐬." 🔥𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬 𝐘𝐨𝐮 𝐂𝐚𝐧'𝐭 𝐀𝐟𝐟𝐨𝐫𝐝 𝐭𝐨 𝐌𝐢𝐬𝐬 𝐓𝐨𝐝𝐚𝐲 💪💼 💡 𝐅𝐞𝐛𝐫𝐮𝐚𝐫𝐲: 𝐀 𝐓𝐨𝐮𝐠𝐡 𝐌𝐨𝐧𝐭𝐡 𝐟𝐨𝐫 𝐆𝐨𝐨𝐠𝐥𝐞 Google's AI mishaps in February led to significant market losses, raising concerns about its AI capabilities. 💰 Gemini's Power and Performance Gemini, Google's AI, boasts remarkable capabilities, surpassing even GPT-4 in various benchmarks. It's cost-efficient and highly potent, driving significant market movements. 🚀 Google's AI Integration Across Products Google is strategically integrating AI across its ecosystem, from Search to Pixel smartphones, enhancing user experiences and functionalities. 📱 Collaborations with Tech Giants Collaborations with tech giants like Apple and Samsung signify the industry's recognition of Google's AI prowess, with Gemini being integrated into various devices and services. 🔄 Google's Resilience Against Disruption Despite concerns about disruptions, Google continues to innovate and adapt, leveraging AI to strengthen its position in the market. 🌟 The Future of Google and AI Google's strategic initiatives, coupled with advancements in AI technology, indicate a promising future, challenging perceptions of its resilience in the face of disruptions. On 21st February, Google’s AI (Gemini) made a mistake, leading to a $90 billion market cap loss. However, Google remains resilient, leveraging AI across its products and forging strategic collaborations with industry leaders like Apple and Samsung. This demonstrates Google's commitment to innovation and its ability to navigate challenges in the dynamic tech landscape. 🌟 Track the Trend: Stay ahead of the curve and explore the possibilities, follow me on Linkedin.com/in/psmahesh ⛷❄🏂🌄 "Credits: 🌟 All write-up is done by me(P.S.Mahesh) after indepth research. All rights and credits for the video/visual presented are reserved for their respective owners. 📚 For attribution or content removal requests, please contact me. 📩

Some interesting insights in the genAI scene for top listed tech companies in the US. Notable ones include: 👀 Airbnb: "Airbnb’s management believes that AI will allow the company to develop the most innovative and personalised AI interfaces in the world, and the company recently acquired GamePlanner AI to do so; Airbnb’s management thinks that popular AI services today, such as ChatGPT, are underutilising the foundational models that power the services; GamePlanner AI was founded by the creator of Apple’s Siri smart assistant." 👀 Alphabet/Google: "Alphabet’s management thinks that SGE helps Google Search (1) answer new types of questions, (2) answer complex questions, and (3) surface more links; management believes that digital advertising will continue to play an important role in SGE; management has found that users find the ads placed above or below an AI overview of searches to be helpful; management knows what needs to be done to incorporate AI into the future experience of Google Search and they see AI assistants or agents as being an important component of Search in the future." 👀 Amazon: "Amazon has launched some generative AI applications across its businesses and are building more; one of the applications launched is Rufus, a shopping assistant, which allows consumers to receive thoughtful responses to detailed shopping questions; other generative AI applications being built and launched by Amazon include a customer-review-summary app, an app for customers to predict how they will fit in apparel, an app for inventory forecasts for each fulfilment centre, and an app to generate copy for ads based on a picture, or generate pictures based on copy; Rufus is seamlessly integrated into Amazon and management thinks Rufus could meaningfully change what discovery looks for shoppers using Amazon" 👀 Arista Networks: "In the last 12 months, Arista Networks has participated in a large number of AI project bids, and in the last five projects where there was a situation of Ethernet versus Infiniband, Arista Networks has won four of them; over the last 12 months, a lot has changed in terms of how Infiniband was initially bundled into AI data centres; management believes that Ethernet will become the default standard for AI networking going forward" 👀 Meta/Facebook: "Meta’s management thinks consumers will want a new AI-powered computing device that can see and hear what we are seeing and hearing, and this new computing device will be smart glasses, and will require full general intelligence; Meta has been conducting research on general intelligence for more than a decade, but it will now also incorporate general intelligence into product work – management thinks having product-targets when developing general intelligence helps to focus the work"

Apple bought 32 AI Companies Google bought 21 AI Companies Meta bought 18 AI Companies Microsoft bought 17 AI Companies Yet, Apple's latest announcements mentioned AI: ZERO TIMES! First mover's advantages are tiny in the tech industry now. 🎁Takeaway: Focus on HOW you build your products and features NOT WHAT products and features to build Product Manager's way of putting it: Be Customer Centric NOT Product Centric Wowo way of putting it: Focus on the bigger picture NOT Short-term tactics 🏆𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻: When Apple DOES make AI announcement, 1. It will have incorporated it into a bunch of its products. 2. It will strengthen Apple's ecosystem effect. 3. It will have a justified price increase. 4. Each of them will retain customers because they have REALLY well-thought-through user experience. 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿: AI is a means to an end. It's NOT an end in itself. ↳ Apple's end is: How do we make user's life better? 👇What are your thoughts on Apple's AI strategy?

Interesting 🤔 Exclusive: Google Develops Challenger to Meta’s Chatbots and Character.AI. Google wants chatbots that people can hang with—not just pelt with questions.. The search engine giant has been developing a product for creating and conversing with customizable chatbots, which could be modeled on celebrities or made by users, two people with direct knowledge of the project said. The bots would be similar to the online personalities from Meta Platforms and startup Character.AI, based on celebrities like football star Tom Brady and TV character Tony Soprano. Staff have discussed launching the new chatbots as soon as this year, one of the people said. The plans, which haven’t been previously reported, speak to how tech giants are looking for ways to turn breathtaking advances in generative artificial intelligence into apps that can keep consumers hooked. https://lnkd.in/eUAhttC7

Why Google renamed its AI chatbot in early 2024 ! AI chatbot, formerly known as "Bard," has now been rebranded as "Gemini." This transition isn't merely about a new name; it reflects Google's evolving strategy in AI development. “Bard" represented a specific persona, "Gemini" embodies a broader, two-sided approach to AI. On one side, it symbolizes the powerful language model technology, while on the other, it represents the diverse interfaces and applications users engage with. This rebranding underscores Google's commitment to innovation and its goal of creating more versatile AI solutions to meet a variety of user needs. Alphabet Inc (GOOGL) lost $100 billion in market value in early 2023 after its new chatbot shared inaccurate information in a promotional video and a company event failed to dazzle, feeding worries that the Google parent is losing ground to rival Microsoft Corp. #fiasco management #rebranding

𝐆𝐨𝐨𝐠𝐥𝐞 𝐆𝐞𝐦𝐢𝐧𝐢 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝: 𝐀 𝐒𝐢𝐦𝐩𝐥𝐞 𝐆𝐮𝐢𝐝𝐞 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐎𝐰𝐧𝐞𝐫𝐬 On December 6th, 2023, Google officially launched Gemini AI. Gemini is a large-scale AI system that can generate new content on-demand. Google has built Gemini to decipher and combine information; like how humans read, see, hear, listen, and talk about different things simultaneously. Gemini isn’t a single AI model, though. Google’s AI system comes in three sizes – Nano, Pro, and Ultra – and they’ve designed each version for different use-cases. For instance:  Nano is already in Google’s Pixel 8 Pro smartphones.  A specially tuned version of Pro is currently powering Bard, Google’s competitor to ChatGPT.  Ultra is coming, and it’s meant to be Google’s most powerful large language model which will accept audio, video, and visual input. I've put together three takeaways and next steps: 1. Get Curious: There are all sorts of task specific tools, many of which are free or offer a free trial or tier, which can be incorporated into your businesses and employees workflows.  Often doing so can increase speed, efficiency, quality or all three.  Be curious, consider workflows that use data processing, filtering or generation and consider if AI based tools might be able to help.  Research the available tools online and talk with others about how they are using AI in their businesses. 2. Stay Open Minded: However you may feel about crypto at this point, no one can argue this… If you mined or purchased some bit coin back in 2008 when everybody thought it was silly, and you held on to it for 10+ years, you’d have a good chunk of change to show for it.  And whatever skills you learned in acquiring those initial bit coins would have probably continued to drive value into your life over that time.  AI is in a similar position.  We don’t know what for sure it will become, but it’s definitely not going away, so getting familiar and comfortable with it and figuring out how to put it to work for you will ensure you don’t end up left behind. 3. Get Started: Don’t put off getting started any longer.  With basic AI being built into our smart phones, our search engines and our productivity suites from Google & Microsoft, getting started is easy.  A couple of easy ways to get started and raise your comfort level and understanding is to use the AI search functionality built into Google or Bing to help you search or research something you’re already planning to do.  Or use the chat functionality within Microsoft Copilot, Google Bard or Chat GPT to start a brainstorming session when you need to generate ideas or start to understand something new; maybe ask them about AI :-)

Some people argue that AI is a solution in search of a problem, What are some mundane easy problems for AI to solve? I'll have to admit that I get a lot of pleasure at looking at the Facebook Marketplace. I've only bought and sold a very few items on there. But, it can be a great source of entertainment. It is amazing watching the type of stuff that pops up there. I am always thinking, "Is there really a market for used soap dispensers and trash cans?" But, the thought that pops up most frequently, "You could buy this same thing brand new for Amazon for half the price that they are selling on the Marketplace." So, it seems like there is an opportunity for Meta to introduce an AI Chatbot to the Marketplace. The chatbot can say things like, "Slow your roll Sparky on the pricing of that used soap dispenser for $10. Amazon is selling them for $4. Would you like to reconsider your price?" While this is meant as humor, I do think there would be legitimate value in this instance. What other scenarios are "low-hanging fruit" problems for AI to solve?