Aus Alzubaidi’s Post

𝐎𝐩𝐞𝐧𝐀𝐈 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬 𝐨1, 𝐢𝐭𝐬 𝐟𝐢𝐫𝐬𝐭 𝐦𝐨𝐝𝐞𝐥 𝐰𝐢𝐭𝐡 ‘𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠’ 𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 🍓🧐 ↳ 🧠 Thoughtful Responses: This new series of AI models is designed to spend more time thinking before they respond, producing a long internal chain-of-thought. ↳ 🔬 Advanced Reasoning: These models can reason through complex tasks and solve harder problems in science, coding, and math, excelling in physics, chemistry, biology, and advanced mathematics. ↳ 🤔 OpenAI o1: The o1 model exemplifies this approach by thinking before it answers, ensuring more accurate and thoughtful responses. ↳ 🚀 New Model Release: OpenAI is releasing a new model called o1, the first in a series of “reasoning” models designed to answer complex questions faster than humans. ↳ 💻 Better Coding and Problem Solving: The model excels at writing code and solving multistep problems better than previous models. ↳ 💸 Cost and Speed: o1 is more expensive and slower to use than GPT-4o. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 (Filip) for more interesting AI and technology stuff 🎩 #AI #artificialintelligence #aiart #tech

AlphaProof and AlphaGeometry are steps toward building systems that can reason, which could unlock exciting new capabilities. They can solve mathematical problems human define. Engineers who can observe and translate physical problems to mathematical ones will now be much needed. Let’s focus on Defining our problems better. AI will crunch the numbers and solve the equations.

The future is here... OpenAI just released their newest model GPT-o1 and it has stunned the entire industry! This model is made to solve complex reasoning tasks, meaning it does very well in dissecting and solving difficult problems. The new GPT-o1 model takes it's time and breaks down problems into smaller steps and thinks about it. This technique is called "Chain of thought reasoning" and allows the LLM to produce significantly better outputs. The model already outperforms human experts in some PhD level science questions. Areas of improvement include physics, chemistry, biology, math, and coding. The release of this model is a huge opportunity for AI implementation into niche industries to solve complex problems. I can already think of so many startup ideas. Finally this is true intelligence. 🚀

By the book, by the phd books, it’s gonna say “use random forest on image recognition “ - totally by the book wasting another thirty billion dollars - on by the book - it sucks in the lab now and will still suck thirty billion dollars later… Why do you think image recognition is in a cross diagonal pattern ? HACKERS KICK YOUR ASS on image recognition with a few pixel footprint and fancy math (KNN plus adaptive scoring , plus Tensorflow false positive padding ) And you are that absolutely blind to spend thirty billion dollars on Random Forest - a laboratory loser of the last thirty years - yeah , something interesting-(not AI) - same as LLM - something interesting but not AI —- throw thirty billion dollars at anyone’s AI project === something interesting, but not AI (save on memory , save on time, save on power, save on computing)

Data Science is not art. Data Analytics is not art. ML Engineering is not art. Physics and generally science, from which the above are deeply influenced, have been seeking to understand and explain the observable world in a methodic way, constant experimentation, and rational analysis. Art is defined by subjective expression, emotion, symbolism, and it's up to personal interpretation. The way I understand it, creativity is a big part of both, but is used for completely different purposes in each. But now #AI can create art using science! What a time to be ali- But wait, can it though? Can it invoke emotion? Can it incorporate symbolism? What do you think?

Researchers at Google DeepMind introduced Semantica, an image-conditioned diffusion model capable of generating images based on the semantics of a conditioning image. The paper explores adapting image generative models to different datasets. Instead of finetuning each model, which is impractical for large-scale models, Semantica uses in-context learning. It is trained on web-scale image pairs, where one random image from a webpage is used to condition the generation of another image from the same page, assuming these images share semantic traits. Read more to know the complete news. Link in the comment below 👇

Can science discovery be automated? The AI Scientist has proposed and tested a fully AI Driven system to do just that. Their system harnesses LLMs to automate the entire life cycle from generating novel research ideas, writing and necessary code, and executing experiments, to summarizing experimental results, visualizing them, and presenting findings in a full scientific manuscript (whitepapers). The AI Scientist also introduces automated peer review to evaluate generated papers, write feedback and further improve results with near-human accuracy. The discovery process is repeated to iteratively develop ideas and add them to a growing archive of knowledge, imitating the human scientific community. Welcome to the future of automated scientific discovery! 🚀✨ https://lnkd.in/g2mgBzuR #AI #MachineLearning #Innovation #ArtificialIntelligence #ScientificDiscovery #TechInnovation #PeerReview #ResearchAndDevelopment #FutureOfWork

Happy to share that our publication titled "𝐂𝐨𝐦𝐛𝐚𝐭𝐢𝐧𝐠 𝐃𝐞𝐞𝐩𝐟𝐚𝐤𝐞𝐬: 𝐀 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐌𝐮𝐥𝐭𝐢𝐥𝐚𝐲𝐞𝐫 𝐃𝐞𝐞𝐩𝐟𝐚𝐤𝐞 𝐕𝐢𝐝𝐞𝐨 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤," has been accepted and published in Multimedia Tools and Applications (𝐒𝐂𝐈 𝐐𝟏, 𝐈𝐅: 𝟑.𝟎). The Paper introduces a novel approach for combating the rise of Deepfakes. By combining  𝐑𝐆𝐁 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧, 𝐆𝐀𝐍 𝐟𝐢𝐧𝐠𝐞𝐫𝐩𝐫𝐢𝐧𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧, and 𝐢𝐧𝐭𝐫𝐚-𝐟𝐫𝐚𝐦𝐞 𝐢𝐧𝐜𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐲 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, we've developed a robust solution that achieves impressive accuracy on challenging datasets. Huge thanks to all my co-authors for their dedication to this project. Together, we're making strides in the fight against digital misinformation! Link to Paper: [ https://lnkd.in/dQNY2dcq ] University of Limerick II Faculty of Science and Engineering, University of Limerick II Science_Engineering UL II University of Galway || Insight SFI Research Centre for Data Analytics II Science Foundation Ireland ll #DeepfakeDetection #AI #MachineLearning #DigitalSecurity #ResearchInnovation #Misinformation #VideoAnalysis

BOOM! OpenAI just unveiled its latest breakthrough, OpenAI o1 (aka Project Strawberry/Q*). An AI model that thinks at a human level! OpenAI o1: • Thinks to produce an internal chain-of-thought before responding to the user • Scored 83% on math olympiad problems compared to only 13% for GPT-4o • Performs as well as PhD students on physics, biology, and chemistry problems The new models are called o1 and o1-mini and they're available to ChatGPT Plus and Team. ——————————————————————- If you liked this and want to keep up with the latest AI tools, trends and news sign up for Superhuman AI https://lnkd.in/diiHTfp3 Activate to view larger image,

Discover How Math Powers AI! 🚀 news from the world of AI! A new study from the California Institute of Technology and the University of Toronto, titled "What’s the Magic Word? A CONTROL THEORY OF LLM PROMPTING," shows just how vital math is, especially control theory and probability theory, for making AI smarter. 🔍 This research shows that by using control theory, we can predict and direct how AI systems like Large Language Models (LLMs) behave. This means we can make AI do what we want more reliably through prompting, which is super cool if you think about how these technologies are shaping our world! 📚 If you're studying or thinking about studying AI, this is why you should be excited about courses that I teach like control theory and probability theory: - They help you understand the magic behind AI. - They give you the power to guide AI's actions. - They make you a pro who can not only use AI but also improve and innovate it. 🌟 I teach both these courses at California State Polytechnic University-Pomona https://lnkd.in/g4kB2XkM #AI #ControlTheory #ProbabilityTheory #MachineLearning #Education #Innovation --- PS: If this post was helpful, please share it with someone who might enjoy it too. If not, let me know how I can make it better!