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In today's AI news, Paris and Munich-based software startup Pruna AI has secured $6.5 million from EQT Ventures. The startup has developed an optimization tool for compressing AI models so that they require less compute and energy. And, the Indian Ministry of Electronics and Information Technology is working on voluntary codes of conduct and ethics for companies to follow for the work they do with AI and GenAI. These guidelines will serve as “informal directive principles,” targeting companies that create LLMs or utilize data for training AI and ML models. In other advancements, Bernard Marr believes Gen AI tools can help pretty much any business. But, without specific information, the output that these genAI tools give can be very formulaic and mundane. Luckily, there’s a way to ensure it has the information it needs to give you very specialized, specific advice that’s relevant to your opportunities and challenges. And, Francois Chollet—an AI pioneer and the creator of Keras—is leaving Google, the latest in a string of AI pioneers to leave the company. Keras is a Python deep learning API that bills itself as “a superpower for developers.” In videos, Agentic AI is transforming every enterprise, using sophisticated reasoning and iterative planning to solve complex, multi-step problems. Learn how NVIDIA AI Blueprints help turn data into knowledge and knowledge into action by automating processes, tapping into real-time insights, and improving workflow efficiency at scale. Then, get ready for a showdown between LangChain and LangGraph, two powerful frameworks for building applications with large language models. Master Inventor Martin Keen compares the two, taking a look at their unique features, use cases, and how they can help you create innovative, context-aware solutions. And, "I am profoundly disturbed to find these days my identity is being stolen by others and greatly object to them using is to say whatever they wish." That's how broadcaster and biologist Sir David Attenborough has reacted after the BBC played him clips of his voice being mimicked by Artificial Intelligence. We close out with Nora Belrose, Head of Interpretability Research at Eleuther AI, discusses critical challenges in AI safety and development. Rather than viewing this automated future with alarm, she proposes that Zen Buddhism's emphasis on spontaneity and presence might complement a society freed from traditional labor. Thats all for today, however new advancements, investments, and partnerships are happening as you read this. AI is moving fast, subscribe today to stay informed. https://lnkd.in/eyuPQFXQ 

🤔 Sakana AI: A Fishy Venture or a Revolutionary Breakthrough? 🐟 Sakana AI, the Tokyo-based startup, has been making waves in the AI world with its nature-inspired approach to developing foundation models. 🌊 By leveraging ideas like evolution and collective intelligence, Sakana claims to automate the development of AI models in a more efficient and environmentally-friendly way. This tool is for experts who can verify the creations. 🌿 They are quite clear that these are just brainstorming ideas and the papers they create for $15 a piece are just starters to consider ideas not completed science work. think of it as structured brainstorming. Coming out a meeting it would be much more important to have something that structured like a scientific paper then photographs of 100 or 200 post-its on whiteboards. However, it's crucial to approach these bold claims with a healthy dose of skepticism. 🧐 While Sakana's founders have impressive backgrounds from Google and other tech giants, the company is still in its early stages and has yet to prove its mettle in the competitive AI landscape. 🏗️ Moreover, Sakana's reliance on evolutionary algorithms and smaller, collaborative models raises questions about the scalability and robustness of their approach. But, it's too intriguing for scientists not to try 🔍 Can these nature-inspired techniques truly rival the power of large, monolithic AI systems? 🤖 I'm going to keep tracking this because there's a way of change going on on scientific methods and you writing and research approaches. So, let's keep our eyes peeled and our minds open as we explore the potential of Sakana AI and other innovative approaches to AI development. 🚀 The future of AI is an exciting and ever-evolving journey, and it's up to us to navigate it with wisdom and discernment. 🧭 further reading based on this generation: [1] Unleashing the Power of Automating Model Development - Sakana AI https://lnkd.in/ga3YeB4Z [2] Can LLMs invent better ways to train LLMs? - Sakana AI https://lnkd.in/gY5d285X [3] What is Sakana AI and why is everyone comparing it to OpenAI? https://lnkd.in/gFZrFCb7 [4] [R] The AI Scientist: Towards Fully Automated Open-Ended Scientific https://lnkd.in/gKwumaSS [5] Sakana AI creates an 'AI Scientist' to automate scientific research https://lnkd.in/g7BmK2k5 [6] Overcoming the challenges of using automated technologies ... - NCBI https://lnkd.in/g-izpWbG [7] Sakana AI Introduces The AI Scientist, Claims It Can Fully Automate ... Gadget360 [8] AI in Research: Its Uses and Limitations https://lnkd.in/gied6YHp [generated with perplexity and intelligence 🧠🤖👨⚖️]

These are some of the most influential AI companies based on their total funding, listed from highest to lowest: 1. OpenAI: OpenAI has received significant investments, including a massive $10 billion investment from Microsoft. This funding supports the development and scaling of their advanced AI models like GPT-3 and GPT-4. 2. Anthropic: Anthropic has raised a total of approximately $8 billion. This includes an initial $1.25 billion investment from Amazon, followed by an additional $2.75 billion, bringing Amazon's total investment to $4 billion. Anthropic's funding supports their work on AI safety and developing advanced AI models [oai_citation:1,Amazon completes $4B Anthropic investment to advance generative AI](https://lnkd.in/eHwZfeXv) [oai_citation:2,Amazon will invest up to $4B in Anthropic to advance generative AI](https://lnkd.in/ecjvHnAE). 3. DeepMind: Although exact numbers for recent years are less frequently disclosed, DeepMind, acquired by Google, has consistently received substantial funding from Alphabet. DeepMind is known for its groundbreaking AI achievements, such as AlphaGo. 4. Scale AI: Scale AI, which specializes in providing data annotation services for AI, has raised over $600 million in funding. Their services are crucial for training AI models with large datasets. 5. Adept AI: Adept AI has raised a total of $415 million, with $350 million in a recent Series B round and $65 million in an earlier Series A round. Their AI focuses on executing user commands across various software applications [oai_citation:3,Adept Latest AI Startup To Raise Big — Nabs $350M](https://lnkd.in/eTcAGkwV) [oai_citation:4,AI startup Adept raises $350 million in fresh funding](https://lnkd.in/eQtD_vpE) [oai_citation:5,Adept raises $350M in fresh funding for its AI assistant that automates software tasks - Tech Startups](https://lnkd.in/egrhDDKe). These companies are at the forefront of AI innovation, leveraging substantial funding to advance their technologies and influence the field significantly.

We just published an article on Medium discussing how to invest in AI Article link: https://lnkd.in/gGiEwaPP P.S. If you would like to invest in an AI startup developing APIs and AI tools visit here: https://lnkd.in/dCFfJDJ

Beyond Transformers: Symbolica launches with $33M to change the AI industry with symbolic models Artificial intelligence startup Symbolica AI launched today with an original approach to building generative AI models. The company is aiming to tackle the expensive mechanisms behind training and deploying large language models such as OpenAI’s ChatGPT that are based on Transformer architecture. Alongside that news, it also revealed today that it has raised $33 million in total funding combined from a Series A and seed funding round led by Khosla Ventures. Other investors included Day One Ventures, Abstract Ventures Buckley Ventures and General Catalyst. Transformer deep learning architectures have overtaken every other type — especially for large language models, as seen with OpenAI’s ChatGPT, Anthropic PBC’s Claude, Google LLC’s Gemini and many others. That’s thanks to their popularity and the broad presence of tools for their development and deployment, but they’re extremely complex and expensive. They also take colossal amounts of data and energy, are difficult to validate and have a tendency to “hallucinate,” which is when a model confidently relates an inaccurate statement as if it’s true.

Generative AI is transforming Silicon Valley https://lnkd.in/g28MSifH from The Economist - Venture capital’s focus has shifted from “blitzscaling” to “scaling laws”—investing heavily in AI computing power and data to create more intelligent models. - Recent analysis highlights how each generation of language models requires 10x more computing power and data, with training costs now reaching up to $100M and soon projected to surpass $1B or even $10B. - Inference costs are also rising, as demonstrated by OpenAI’s new “Strawberry” models, which improve reasoning accuracy through reinforcement learning. - This trend is pricing many VCs out of the AI model space. Instead, they are backing startups that build on top of large language models—developing tools for coding, healthcare, and customer support. - As VCs seek sustainable paths to profitability, monetization challenges arise. Traditional digital ads are hard to integrate into generative AI without hurting credibility, and subscription models face difficulties as AI agents reduce the need for human users.

5 AI developments you may have overlooked today: Elon Musk's xAI to make Grok open-source; Manufacturing faces AI challenges, and more #ArtificialIntelligence In today's AI news, Elon Musk's AI startup xAI will be making their OpenAI rival Grok open-source. Musk's AI startup XAI has announced it will open-source a major Grok language model, according to a Reuters report. Read More: https://lnkd.in/giSaE8hP

Discover the game-changing tools shaping the future of technology! From industry giants like TensorFlow and PyTorch to cutting-edge platforms like Azure AI and AWS AI, our blog unveils the must-have tools for startups. Dive into OpenAI’s ChatGPT for human-like interactions, Hugging Face for NLP excellence, and Fireflies.ai for seamless meeting productivity. Plus, explore Fetcher.ai for AI-driven talent acquisition. Equip your startup with these revolutionary tools and lead the charge in AI innovation! Read our blog for insights into transforming your operations and driving market disruption. #AI #ML #StartupInnovation #TechRevolution

#AI, Open-source AI models released by Tokyo lab Sakana founded by former Google researchers Sakana AI, a Tokyo-based artificial intelligence startup founded by two prominent former Google researchers, released AI models it said were built using a novel method inspired by evolution, akin to breeding and natural selection.   Sakana AI employed a technique called "model merging" which combines existing AI models to yield a new model, combining it with an approach inspired by evolution, leading to the creation of hundreds of model generations.   The most successful models from each generation were then identified, becoming the "parents" of the next generation.   The company is releasing the three Japanese language models and two are being open-sourced, Sakana AI founder David Ha told Reuters in online remarks from Tokyo.   Jones is an author on Google's 2017 research paper "Attention Is All You Need", which introduced the "transformer" deep learning architecture that formed the basis for viral chatbot ChatGPT, leading to the race to develop products powered by generative AI.   Venture investors have poured millions of dollars in funding into their new ventures, such as AI chatbot startup Character. AI run by Noam Shazeer, and the large language model startup Cohere founded by Aidan Gomez. Sakana AI seeks to put the Japanese capital on the map as an AI hub, just as OpenAI did for San Francisco and the company DeepMind did for London earlier. In January Sakana AI said it had raised $30 million in seed financing led by Lux Capital. #RB, #AI https://lnkd.in/e_miBW_Z