Google just claimed its AI ‘Co Scientist’ solved in days what took scientists over a decade. But did it really? 🧬 There’s no doubt AI-assisted science has the potential for massive breakthroughs—arguably more than any other field. And this is an impressive step forward. But let’s be clear: the 10-year challenge wasn’t in formulating the hypothesis—it was in experimentally validating the results. That distinction matters. A tool that rapidly generates hypotheses and collates research is valuable. But the bottleneck in science isn’t just idea generation—it’s proving those ideas in the lab. I do however feel optimistic about our chances here. We need more of this work. So, this is a huge step in the right direction. If AI can generate hypotheses faster than we can test them, what does that mean for the future of science? https://lnkd.in/ecz3Gw4a #beyondthemodel #artificialintelligence #machinelearning
AI solves 10-year challenge in days, but what's next?
More Relevant Posts
-
🤯 **Mind-Blowing AI Breakthroughs That Are Changing Everything!** 🚀🔬 The world of Artificial Intelligence is moving at warp speed, and two recent updates are absolutely revolutionizing how we work, live, and discover! --- ⚡ **Update 1: Google's Gemini 1.5 Flash Just Dropped!** Google has unleashed Gemini 1.5 Flash – a brand-new, super-efficient large language model. It's designed for speed and scale, keeping the incredible power of Gemini 1.5 Pro's massive context window but in a lighter, faster package! ✨ **Why this is HUGE for YOU:** Imagine an AI assistant that can instantly process and understand entire books, hours of video content, or thousands of lines of code, giving you summaries, insights, or debugging solutions *in a flash*. This isn't just powerful; it makes high-level AI ridiculously accessible for everyday productivity, turning your complex tasks into simple clicks! --- 🧪 **Update 2: AI is Turbocharging Scientific Discovery & Drug Development!** From predicting the intricate shapes of proteins (crucial for disease understanding) to rapidly designing innovative new materials and accelerating drug discovery, AI is now a core engine driving scientific breakthroughs. What once took decades of painstaking research is now achievable in mere months! 🌍 **Why this matters for ALL of us:** This means faster development of life-saving medicines for challenging diseases, sustainable materials for a greener planet, and a deeper understanding of the universe's most complex mysteries. AI isn't just about smart software; it's about accelerating human progress and building a healthier, more advanced future for everyone! --- The pace of AI innovation is breathtaking, and these advancements are bringing us closer to a world where complex challenges are met with intelligent, efficient, and inspiring solutions. Curious to explore how these AI breakthroughs can transform your projects or business? I'm passionate about making AI accessible and impactful. Feel free to reach out for a deeper dive! 📞 Connect via Phone: +91 9391163431 📧 Connect via Email: valadhriluhansathwikreddy@gmail.com #AI #ArtificialIntelligence #TechUpdates #GoogleAI #Gemini #MachineLearning #Innovation #FutureTech #DeepLearning #Science #DrugDiscovery #Productivity #AIforGood #TechNews #LinkedInLearning #CareerGrowth #DigitalTransformation
To view or add a comment, sign in
-
Remember when research meant spending weeks buried in papers just to find out someone already tried your idea five years ago? Google just dropped something that's making me rethink how AI fits into scientific research. Their AI Co-Scientist isn't another chatbot—it's a multi-agent system that actually mimics how scientists think. Think of it like having a research team working 24/7: one agent generates hypotheses, another critiques them, another ranks possibilities, and they all iterate together. What caught my attention is that it's built on Gemini 2.0 and can do things I wish I had when working on my ML projects—like generating novel research hypotheses from natural language prompts, designing experimental protocols, and connecting dots across different scientific domains. It's particularly interesting for biomedical research, like tackling antimicrobial resistance. Here's the thing though. Google's calling it a "co-scientist" for a reason. It's not replacing researchers, just speeding up the grunt work so humans can focus on the creative parts. Early access is through their Trusted Tester Program. Makes me wonder—if AI can accelerate scientific breakthroughs like this, what's stopping us from solving problems we thought would take decades? #ArtificialIntelligence #ScientificResearch #MachineLearning #GoogleAI #Innovation
To view or add a comment, sign in
-
"AI holds real promise, and it poses real risks," Dennis Hirsch says. "It is by squarely facing and actively addressing those risks that we will achieve AI's promise. We currently have neither the knowledge nor the workforce required to do this. The center will help to build both." OSU prepares for an AI-driven future and CRAIG is part of it! https://lnkd.in/eywNp48B
To view or add a comment, sign in
-
#AINews 🌍 Google DeepMind's AlphaEvolve: Redefining AI's Role in Theoretical Math Discovery Google DeepMind has unveiled AlphaEvolve, an innovative AI coding agent that enhances mathematical discovery in complexity theory. This LLM-based system uses iterative code evolution to autonomously discover new mathematical structures, achieving notable advancements such as improvements on the MAX-4-CUT problem. 📊 Key Implications for Your Team: • AlphaEvolve autonomously discovers new structures, surpassing traditional AI applications like proof assistance. • Improvements in approximation theory, specifically in critical areas like MAX-4-CUT. • Tightening bounds on properties in complexity theory, offering potential for more accurate theoretical models. • Acts as an active research partner, potentially accelerating research in mathematical fields requiring high accuracy. 🔍 Strategic Considerations: As AI continues to evolve from assisting to fully participating in research, it opens pathways for innovation that could transform industries reliant on complex mathematical problems. Embracing AI in research could lead to breakthrough innovations and a competitive edge. 💡 My Take: The introduction of AlphaEvolve represents a monumental shift. As AI begins to contribute original insights, organizations can leverage such technologies to overcome bottlenecks in research and development, leading to more rapid and groundbreaking discoveries. 🤔 How can your enterprise integrate AI like AlphaEvolve to drive deeper theoretical insights and foster innovation? #AIDisruption #TechInnovation #DeepMindAI #SmarterWithAI
To view or add a comment, sign in
-
-
✨ Kicking off the next big chapter of my Master’s research: the AI simulation is officially live! The premise? Testing how an AI navigates the academic world when given the baseline parameters of a blind or low vision researcher. The result so far? Let’s just say the poor AI is floundering like a first-year student who forgot their library login. 📚🤖 It keeps bumping into paywalls, inaccessible PDFs, and metadata mazes—exactly the barriers disabled researchers face every day. And that’s the point. By watching the AI struggle, I’m mapping the hidden frictions that shape who gets to access knowledge, and how. This isn’t just about one simulation. It’s about reimagining research infrastructures so that accessibility isn’t an afterthought, but a foundation. So if you see me cheering on a confused algorithm over the next few months, know that it’s all in service of a bigger goal: making sure the next generation of scholars—disabled or not—can actually get to the books. #Accessibility #InclusiveResearch #DigitalHumanities #MastersResearch #AI
To view or add a comment, sign in
-
Colleges are scrambling to figure out generative AI — and now a more advanced form is emerging: agentic AI. These tools don’t just respond to prompts; they act on their own — potentially easing workloads but introducing fresh challenges around data security, equity, governance, and academic integrity. Our latest Chronicle Intelligence explainer, written by Aaron Mok, looks at what early campus experiments reveal, why higher ed may not be ready for what’s next, and how colleges can prepare. Many thanks to Cisco for supporting our work. https://lnkd.in/eBqvNX6e
To view or add a comment, sign in
-
🪩 The one and only State of AI Report 2025 is live! 🪩 It’s been a monumental 12 months for AI. Our 8th annual report is the most comprehensive it’s ever been, covering what you need to know about research, industry, politics, and safety, along with our first State of AI usage survey with 1,200 practitioners. Highlights this year include: • Reasoning goes mainstream: OpenAI, Google DeepMind, Anthropic, and DeepSeek are turning “think-then-answer” into real products, while China’s open-weight labs close the gap fast as Meta’s Llama relinquishes the mantle. • AI becomes a lab partner: from DeepMind’s Co-Scientist to Stanford’s Virtual Lab, models are generating, debating, and validating new discoveries. • Commercial traction is real: 44% of U.S. businesses now pay for AI tools (up from 5% in 2023), average contracts reach $530K, and AI-first startups grow 1.5x faster than peers (Ramp, Standard Metrics Ara Kharazian). • The compute crunch hits: multi-GW data centers like Stargate mark the industrial era of AI, powered by sovereign funds from the U.S., UAE, and China. • Safety gets messy: models can now fake alignment under supervision, and researchers warn we may need to trade capability for transparency. • Politics reshapes AI: America doubles down on export control, Europe’s AI Act stumbles, and China’s open ecosystem overtakes Meta’s on fine-tunes. Thanks to my collaborators Zeke Gillman, Nell Norman, and Ryan Tovcimak, and everyone who helped make this our most ambitious report yet, including our reviewers Paige Bailey, Christopher Gagne, Shubho Sengupta, Philippe Schwaller, David Stutz, Divy Thakkar, Neel Nanda🔸, Aleksa Gordić, Ross Taylor, Joseph Spisak, Ido Hakimi, Ryan Julian, Xander Davies, Daniel Campos, Jacob Portes, Joyce Benaich, and Jacob A. #AI #research #safety #artificialintelligence #machinelearning #deeplearning #biotech #stateofai #LLMs #GenAI #reasoning
State of AI Report 2025
To view or add a comment, sign in
-
Amazing to see work on 'The Psychogenic Machine' (https://lnkd.in/dmbnYAef) identified as one of this year's top contributions to the field of #AI and featured in the State of AI Report, published today. A first-of-its-kind benchmark to measure how Large Language Models (#LLMs) might reinforce delusional or harmful beliefs. Great work with Zeljko K. Dr Josh Au Yeung Jacopo Dalmasso Luca Foschini Thank you Nathan Benaich EPSRC DRIVE-Health NIHR Maudsley Biomedical Research Centre (BRC) King's College London UCL Institute of Psychiatry, Psychology & Neuroscience UCL Institute of Health Informatics NIHR Maudsley Biomedical Research Centre (BRC) NIHR University College London Hospitals Biomedical Research Centre Biostatistics and Health Informatics Department, IoPPN, King's College London
🪩 The one and only State of AI Report 2025 is live! 🪩 It’s been a monumental 12 months for AI. Our 8th annual report is the most comprehensive it’s ever been, covering what you need to know about research, industry, politics, and safety, along with our first State of AI usage survey with 1,200 practitioners. Highlights this year include: • Reasoning goes mainstream: OpenAI, Google DeepMind, Anthropic, and DeepSeek are turning “think-then-answer” into real products, while China’s open-weight labs close the gap fast as Meta’s Llama relinquishes the mantle. • AI becomes a lab partner: from DeepMind’s Co-Scientist to Stanford’s Virtual Lab, models are generating, debating, and validating new discoveries. • Commercial traction is real: 44% of U.S. businesses now pay for AI tools (up from 5% in 2023), average contracts reach $530K, and AI-first startups grow 1.5x faster than peers (Ramp, Standard Metrics Ara Kharazian). • The compute crunch hits: multi-GW data centers like Stargate mark the industrial era of AI, powered by sovereign funds from the U.S., UAE, and China. • Safety gets messy: models can now fake alignment under supervision, and researchers warn we may need to trade capability for transparency. • Politics reshapes AI: America doubles down on export control, Europe’s AI Act stumbles, and China’s open ecosystem overtakes Meta’s on fine-tunes. Thanks to my collaborators Zeke Gillman, Nell Norman, and Ryan Tovcimak, and everyone who helped make this our most ambitious report yet, including our reviewers Paige Bailey, Christopher Gagne, Shubho Sengupta, Philippe Schwaller, David Stutz, Divy Thakkar, Neel Nanda🔸, Aleksa Gordić, Ross Taylor, Joseph Spisak, Ido Hakimi, Ryan Julian, Xander Davies, Daniel Campos, Jacob Portes, Joyce Benaich, and Jacob A. #AI #research #safety #artificialintelligence #machinelearning #deeplearning #biotech #stateofai #LLMs #GenAI #reasoning
To view or add a comment, sign in
-
Nathan’s 300+ page "State of AI Report" is the best overview on the state of the AI industry. Every year, it’s the go-to reference for understanding where we are. ⤵️
🪩 The one and only State of AI Report 2025 is live! 🪩 It’s been a monumental 12 months for AI. Our 8th annual report is the most comprehensive it’s ever been, covering what you need to know about research, industry, politics, and safety, along with our first State of AI usage survey with 1,200 practitioners. Highlights this year include: • Reasoning goes mainstream: OpenAI, Google DeepMind, Anthropic, and DeepSeek are turning “think-then-answer” into real products, while China’s open-weight labs close the gap fast as Meta’s Llama relinquishes the mantle. • AI becomes a lab partner: from DeepMind’s Co-Scientist to Stanford’s Virtual Lab, models are generating, debating, and validating new discoveries. • Commercial traction is real: 44% of U.S. businesses now pay for AI tools (up from 5% in 2023), average contracts reach $530K, and AI-first startups grow 1.5x faster than peers (Ramp, Standard Metrics Ara Kharazian). • The compute crunch hits: multi-GW data centers like Stargate mark the industrial era of AI, powered by sovereign funds from the U.S., UAE, and China. • Safety gets messy: models can now fake alignment under supervision, and researchers warn we may need to trade capability for transparency. • Politics reshapes AI: America doubles down on export control, Europe’s AI Act stumbles, and China’s open ecosystem overtakes Meta’s on fine-tunes. Thanks to my collaborators Zeke Gillman, Nell Norman, and Ryan Tovcimak, and everyone who helped make this our most ambitious report yet, including our reviewers Paige Bailey, Christopher Gagne, Shubho Sengupta, Philippe Schwaller, David Stutz, Divy Thakkar, Neel Nanda🔸, Aleksa Gordić, Ross Taylor, Joseph Spisak, Ido Hakimi, Ryan Julian, Xander Davies, Daniel Campos, Jacob Portes, Joyce Benaich, and Jacob A. #AI #research #safety #artificialintelligence #machinelearning #deeplearning #biotech #stateofai #LLMs #GenAI #reasoning
To view or add a comment, sign in
Explore related topics
- How AI is Changing the Scientific Method
- How AI Drives Scientific Research Breakthroughs
- AI Platforms Challenging Google
- Reasons AI Development Is Advancing Quickly
- Google's AI Innovations and Industry Impact
- Latest AI Breakthroughs in Chemistry
- How AI can Speed Up Battery Material Discovery
- Daily AI Breakthrough Summaries
Scientific AGI next?