Woodside Capital Partners’ Post

#InTheNews | Inside Meta's AI Transformation: New Focus on General Intelligence and Open Source. «“The biggest companies that started off with the biggest leads are also, in a lot of cases, the ones calling the most for saying you need to put in place all these guardrails on how everyone else builds AI,” ... “I’m sure some of them are legitimately concerned about safety, but it’s a hell of a thing how much it lines up with the strategy.”» #AGI #ArtificialGeneralIntelligence #GeneralIntelligence #SuperhumanIntelligence #ArtificialIntelligence #Future #Intelligence #OpenSource #Innovation #Technology via The Verge https://lnkd.in/d4jjq_hz

New week, new AI landscape. Here are 5 important stories and announcements from this week: 1. Anthropic Claude 3.5 Sonnet: Claude 3.5 Sonnet has launched, with significant improvements in intelligence, speed, and cost-efficiency. This model surpasses Claude 3 Opus across various evaluations and is available for free on Claude.ai. 2. Ilya Sutskever Starts a New Company: OpenAI’s ex-Chief Scientist Illya Sutskever has announced that he’s starting a new AI company “Safe Superintelligence Inc” a startup that “approaches safety and capabilities in tandem”. 3. Dell is building an “AI factory” with Nvidia: The CEO of Dell (Michael Dell) tweeted that they’re creating an “AI factory” with Nvidia to power Grok for xAI. This is Elon Musk’s next big step to building his much talked about supercomputer for xAI. 4. Getting 50% (SoTA) on Arc-AGI with GPT-4o: For those who aren’t in the loop the ARC Prize is a $1,000,000+ public competition to beat and open source a solution to the ARC-AGI benchmark. Recently, however, it’s become possible to achieve 50% accuracy on the ARC-AGI public test set with GPT-4o simply using basic feature engineering and prompting… The previous SOTA was 34%. 5. New research, models, and datasets from Meta FAIR: FAIR has released six new research artifacts, focusing on themes of innovation, creativity, efficiency, and responsibility in AI. Highlights include Meta Chameleon, which uses unified tokenization for mixed-modal inputs; JASCO for temporally controlled text-to-music generation; and AudioSeal, an audio watermarking technique designed for detecting AI-generated speech.

An entire new library of open-source packages around #AI could emerge from #Meta. Ortelius will become more important as AI tech grows, AI agents become more fragmented, and massive dependency trees continue to expand. #softwaresupplychain https://lnkd.in/gzVpmMXg

To be honest with you, don't expect me to claim AI's on the brink of matching human intellect anytime soon! The discussion around artificial general intelligence (AGI) is filled with varied opinions among leading tech figures. While the pursuit of AGI often dominates tech news with its potential for machines to outdo human cognitive tasks, a more grounded conversation emerges from scepticism and alternative viewpoints. Nvidia's Jensen Huang suggests we could see AGI in the next five years, a timeline that Ben Goertzel shortens even further. Elon Musk predicts its arrival by the end of 2025. In contrast, Yann LeCun, Meta’s chief AI scientist and a Turing Award winner, offers a different take. Recognized as one of AI's pioneering figures, LeCun questions the immediate feasibility of AGI and advocates for aiming at "human-level AI," a milestone he sees as not yet within reach. At a London event, LeCun identified several cognitive hurdles that current AI technologies cannot yet overcome: reasoning, planning, persistent memory, and comprehending the physical world. These issues highlight the current limitations of AI technology, from the unreliability of autonomous vehicles to the struggles of household robots and the limited capabilities of smart assistants. LeCun is particularly critical of large language models (LLMs) for their dependence on text data, which leads to a basic grasp of reality. Despite their convincing language skills, LLMs, he believes, sidetrack the journey towards genuine human-level intelligence. LeCun proposes a different approach: "objective-driven AI," which acquires knowledge about the physical world through sensors and video data to achieve specific goals set by humans. This method aims to build a "world model" that allows machines to foresee and plan actions more accurately. Although the timeline for achieving intelligence that exceeds human capabilities remains open-ended, LeCun emphases the need for steady progress, innovative thinking, and a comprehensive view of intelligence. As we move forward into this fascinating yet unpredictable field, embracing a range of viewpoints is key to developing a more complete approach to AI's future. #AI #ArtificialIntelligence #AGI #MachineLearning #Innovation #FutureOfWork https://lnkd.in/dfpxpp9a

Welcome to our latest blog post where we dive into a fascinating conversation with Jensen Huang the visionary founder of INVIDIA a company at the forefront of artificial intelligence (AI) technology. In this blog, we’ll explore the exciting developments in AI, the implications for society, and the role of governments and individuals in shaping the future. Read more: https://lnkd.in/eTAwYXip #DTCofficial #businessblogging #globalinnovation #techblog #artificialintelligence #futureofwork #BusinessBlog #aiadvancements

🚀 Big news in the AI world! 🌟 Anthropics’ Artifacts could be this year's game-changer. Dive into how this groundbreaking interface is set to reshape the future of AI. Don't miss out on the details! "Artifacts represents a bold attempt to answer that question. By creating a space where AI-generated content can be easily edited, refined, and incorporated into ongoing projects, Anthropic is bridging the gap between AI as a tool and AI as a teammate." 👉 Read more: [Anthropics' Artifacts Unveiling] https://lnkd.in/g6dG6DjC 🔍 #AI #TechInnovation #Anthropics

Transforming Media Generation: The Rise of Diffusion Transformers in AI -Kyle Wiggers The diffusion transformer, a pioneering AI model architecture, is revolutionizing media generation in projects like OpenAI's Sora and Stability AI's Stable Diffusion 3.0. Combining diffusion and transformers, it efficiently removes noise from media, surpassing previous limitations. Led by computer scientist Saining Xie, this innovation enables scalable, high-performance media generation. Transformers' attention mechanism simplifies and parallelizes the process, enhancing scalability and effectiveness. Sora's team showcases the transformative potential of diffusion transformers, advocating for their widespread adoption over traditional U-Net backbones. This advancement heralds a new era in AI-powered media generation, promising efficiency, scalability, and seamless integration across domains. Emad Mostaque #DiffusionTransformer #AI #MediaGeneration #OpenAI #Sora #StabilityAI #SainingXie #Transformers #Scalability #Efficiency #U-Net #Innovation #Integration

Gemma Open Models: Google’s New AI Innovation for Everyone 2024 Google has always been at the forefront of AI innovation, contributing to the open community with groundbreaking technologies such as Transformers, TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. Now, Google is proud to announce a new family of open models that can help developers and researchers create AI applications responsibly and efficiently. Meet Gemma, the new precious stone of AI. To know more about Gemma Open Models read the full blog: https://lnkd.in/eU5UviTa #AI #Google #LLM #HyInsights #HyScaler

Huge update: Nvidia has released NVLM 1.0, an open-source AI model set to rival GPT-4! This move could accelerate AI development across the board, giving smaller teams and researchers access to top-tier tools that were previously out of reach. It’s a clear signal of where the industry is headed—toward more open, collaborative innovation. At NAIBLE, we believe this shift empowers more voices to shape the future of AI. How do you see this impacting the industry? Will open models drive more breakthroughs, or will it create new challenges? Let’s talk! https://lnkd.in/gWk_BSMm

Mark Zuckerberg's vision for Meta includes a deep dive into Artificial General Intelligence (AGI), aiming to seamlessly integrate AI into our digital experiences. With Meta's AI research now focusing on practical, generative AI applications, the commitment to open-source development and significant computing investment marks an interesting shift for the org. #artificialintelligence #technologyinnovation #artificialgeneralintelligence #agi https://lnkd.in/gPhgKyBG