Google is stepping up its game in the race for advanced AI, reportedly developing a "thinking" AI to rival OpenAI’s o1 models. This move signals a significant shift as Google aims to enhance its problem-solving capabilities through chain-of-thought prompting on its Gemini platform. With OpenAI demonstrating impressive results in complex tasks like mathematics and coding, Google's reaction underscores the urgency to regain ground in the AI landscape. However, this advancement isn’t without challenges. Increased computational demands could lead to higher operational costs, and pricing strategies will be crucial as users weigh their options. As the battle for AI supremacy heats up, it's fascinating to see how companies adjust their strategies. Google’s focus on human-like reasoning may well redefine the standards of intelligence in AI. Will they catch up? Only time will tell, but the stakes have never been higher. What's your take on this competitive landscape?
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⚡️ BREAKING: OpenAI just released their new model, OpenAI o1, which is significantly more powerful than GPT-4o. This is the secret project the company has been working on for so long. They’re promising access as soon as today! 🍓 https://lnkd.in/dqq6KtEd 📌 Follow Abdul Rahim Roni for more such content: If you like this and want to get more AI tools, tutorials and news, join Cool Tech Gadgets - my newsletter that helps you get smarter about Microsoft and AI and Google and technology: 👉 https://lnkd.in/grn4UX-8
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This is something which you shouldn’t have missed last week, Ok , If you have missed, (Here I have summed up in short) 🔽 Last week was the week of “AI Showdown” Google I/O vs. GPT-4o | The Race to AI Supremacy What’s Hot in AI? (I would say , “The GPT4o’s voice!!” ) ▫ OpenAI GPT-4o: Revolutionizing user interaction by integrating text, vision, and audio into a single, cost-effective model. Its conversational abilities mimic human-like nuances, making it a formidable player in the AI space. ▫ Google’s Power Moves at I/O: Highlighted by their leaps in machine learning with the unveiling of Gemini 1.5 Pro, capable of handling an immense 2 million token context window and innovative context caching, Google is not just keeping up but accelerating ahead. ▫ Hardware Horizon: The introduction of Trillium TPUs and Axion CPUs marks a new era of computing potential, while the VEO generative video model showcases Google’s commitment to leading multimedia AI. ▫ The OpenAI event happened a day before the IO event. OpenAI has clearly set a higher mark on the capabilities it could do while Google was trying to catch-up the race. As per latest reports, people enjoyed GPT4o’s show much more than the other. Some internal rumors suggest that Google already had this tech but they delayed rolling out to the common public! Do let us know in the comments what other rumors you know! (With regards to AI pls 😂 )
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Google vs OpenAI Gemini vs GPT AI vs AI It may seem like a hard decision, but Google has recently (since the AI race started) been constantly making big announcements and promises, but falling short on delivery. It's one thing to demo a technology, and its another thing to release it for people to use - and people are starting to get impatient. A quick overview of how the latest news from Google IO is getting received by the tech community...
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With OpenAI's GPT-4o (https://lnkd.in/eJ5czZwr) and Google's announcement of its "Project Astra" (https://lnkd.in/ebXXiFWn) - among various other new features - there has been a lot going on in the AI industry in the last few days! 😲 These projects promote a more natural human-computer interaction and represent another big technological step. But let's not forget to care about human-human interaction too! 👫
Google I/O 2024: all the news from the developer conference
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What an amazing 48 hours in AI. While OpenAI's stunning text-to-video capability may have caught more attention, it is Google's Gemini 1.5 Pro with its 10M token context that hits closer to home for me. With near perfect retrieval from 10M tokens, many of the current design patterns to retrieve and rank the best context to add to a user's prompt (RAG) become obsolete. If you can include the codebase, requirements and design specification in the prompt and ask questions.... new use cases become possible and change everything (again). https://lnkd.in/eu58AhKY
Our next-generation model: Gemini 1.5
blog.google
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Another glorious battle for AI dominance… GPT-4o vs Google I/O 💡 - [00:00](https://lnkd.in/dBaSMfEr) 🚀 OpenAI's GPT-4o released just before Google IO, signaling intense AI competition. - [00:43](https://lnkd.in/dmwZ3CNP) 💬 GPT-4o offers faster, cheaper, and humanlike conversational abilities, but still not fully accessible to the public. - [01:54](https://lnkd.in/dXDHB5ZZ) 📱 OpenAI and Google competing to bring their AI models to iPhones for broader accessibility. - [02:37](https://lnkd.in/d5KsiigN) 💡 Google's Gemini 1.5 Pro handles vast contexts, introduces context caching, and offers prizes for app development. - [03:06](https://lnkd.in/db6_UfaR) 🛠️ Google introduces Firebase data connect, integrating SQL into Firebase, addressing a long-standing request. - [03:49](https://lnkd.in/dJtigCcx) 💻 Google unveils Trillium TPUs, Axion arm-based CPUs, and vo, a generative video model, to compete with OpenAI's offerings. https://lnkd.in/dCz8eNdq
Another glorious battle for AI dominance… GPT-4o vs Google I/O
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Key takeaways about OpenAI's new AI model o1: Capabilities: Significantly improved reasoning and problem-solving skills compared to previous models. Performs well on complex tasks in science, coding, and math (e.g., answering PhD-level science questions). Less likely to provide inaccurate or misleading answers ("hallucinate"). More resistant to manipulation ("jailbreaking"). Limitations: Not considered AGI (artificial general intelligence). Likely to be temporary advantage for OpenAI as Google, Meta, and others develop competing models. Future Implications: May lead to more powerful AI agents capable of complex tasks. Requires significant computing resources to run effectively. Highlights the importance of developing robust safety measures for advanced AI models.
Evolving AI on Instagram: "👀🤯 OpenAI recently dropped o1, also known as Project Strawberry/Q*. This model is a new level of AI that can "think" and "reason" before responding to you. 7 wild ways people are using it: 1. Tyler Cowen showcasing Economics with o1 2. Ammaar Reshi creates a full weather iPhone app with animations in less than 10 minutes (@ammaar on X) 3. Mario Krenn used o1 to draft a
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Google’s New AI Gemini 2.0 leak just revealed a true GPT-4 killer So, here’s the scoop: Google is planning to launch Gemini 2.0 this December. In the AI arms race. This move puts them right up against OpenAI’s rumored new release. Unlike OpenAI's phased rollout. Google is going all-in from the start. Here’s what nobody talks about: Despite all the hype around GPT-4 and Claude Sonnet 3.5 Google’s Gemini has one thing they don’t: The longest context window 2 million tokens. That’s no small feat. And why does it matter? Because context is key to reasoning models like o1. This is why google can win the AI race -2M tokens = unmatched memory -Google’s math expertise runs deep -DeepMind brings elite talents For years, Google’s been preparing. Look at their moves in math competitions and high-stakes AI research. December might just flip the whole game.
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On the current LLM war, Google strikes back... sort of. Today Google announced its Gemini 1.5 with 1 Million tokens, among other goodies. The thing is: it is not available yet with such amount of tokens. But current 1.5 version is a good competitor of GPT4.5. It's exciting to see Google stepping up their game in the language model space with the announcement of Gemini 1.5. While the 1 million tokens feature is not yet available, the current version is already proving to be a strong competitor to GPT4.5. It will be interesting to see how other players in the space, such as OpenAI, respond to this development. Let's hope this doesn't turn into a vaporware war. https://lnkd.in/ekPSzi69 #Google #Gemini #LanguageModels #AI #OpenAI
Our next-generation model: Gemini 1.5
blog.google
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9 AI Tools You Haven't Seen Yet https://lnkd.in/e7svKgiR In the ever-expanding universe of artificial intelligence new tools are emerging daily. Many of these simple tools are far beyond the limelight of tech giants like OpenAI, Google, and Microsoft.
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2moI agree with you on the definition of intelligence. Currently it is measured in terms of AI mimicking human thinking patterns. And if Google is planning on taking on this approach itself to develop its AI, it may succeed. Though just like chess engines initially were compared to Grandmasters, but once they overtook human players, then the benchmarks changed into beating the latest bot at the game. Not sure what is the counterpart here for this? But either way, it is going to be an interesting race in next few years.