The article discusses Google's recent keynote at Google I/O and its focus on AI. It highlights the poor presentation and lack of new content during the event. The author reflects on Google's previous success in AI and its potential to excel in this field. The article also explores the concept of AI as a sustaining innovation for big tech companies and the challenges they may face. It discusses the potential impact of AI regulations in the EU and the role of open source models in the AI landscape. The author concludes by suggesting that the battle between centralized models and open source AI may be the defining war of the digital era.
Main topic: Aily Labs, an AI-for-enterprise startup, raises €19m in funding to expand its team and further develop its AI models for productivity and efficiency in various industries.
Key points:
1. Aily Labs uses AI models to create products that increase productivity, efficiency, and cost-savings for clients, particularly in the pharmaceutical industry.
2. The startup differentiates itself by leveraging existing open-source AI models and utilizing a combination of machine learning approaches, including classification and regression models.
3. With the funding, Aily Labs plans to expand its GenAI team, diversify its client base beyond pharmaceutical companies, and enhance its capabilities in text generation and competitive intelligence.
McKinsey has developed "Lilli," a generative AI platform that revolutionizes knowledge retrieval and utilization, reducing time and effort for consultants while generating novel insights and enhancing problem-solving capabilities.
AllianceBernstein has built a team focused on AI and data science, using machine learning and natural language processing to uncover potential risks, make investment decisions, and improve risk management, resulting in cost savings and increased efficiency.
McKinsey and Salesforce are collaborating to accelerate the adoption of generative AI in sales, marketing, commerce, and service, aiming to improve customer experiences, increase sales productivity, personalize digital marketing campaigns, and reduce call resolution time.
Meta is developing a new, more powerful and open-source AI model to rival OpenAI and plans to train it on their own infrastructure.
AI tools from OpenAI, Microsoft, and Google are being integrated into productivity platforms like Microsoft Teams and Google Workspace, offering a wide range of AI-powered features for tasks such as text generation, image generation, and data analysis, although concerns remain regarding accuracy and cost-effectiveness.
Japan's leading AI developer, Fujitsu, has launched two new open source projects, SapientML and Intersectional Fairness, in collaboration with the Linux Foundation, aimed at democratizing AI and addressing biases in training data by promoting open source AI technology worldwide.
Venture capitalist Bill Gurley warns about the dangers of regulatory capture and its impact on innovation, particularly in the field of artificial intelligence, and highlights the importance of open innovation and the potential harm of closed-source models.
Open source and artificial intelligence have a deep connection, as open-source projects and tools have played a crucial role in the development of modern AI, including popular AI generative models like ChatGPT and Llama 2.
IBM's AI and data platform, watsonx, aims to help businesses leverage foundation models and accelerate the adoption of generative AI through its newly launched features and capabilities, offering model flexibility and choice, transparency in AI models, and the ability to responsibly use third-party models.
The OpenFold group, a non-profit AI research consortium, has funded new large-scale protein studies at Prof. Gabriel Rocklin's laboratory at Northwestern University to improve protein stability predictions using open-source software tools.
Major AI companies, such as OpenAI and Meta, are developing AI constitutions to establish values and principles that their models can adhere to in order to prevent potential abuses and ensure transparency. These constitutions aim to align AI software to positive traits and allow for accountability and intervention if the models do not follow the established principles.
Generative AI start-ups, such as OpenAI, Anthropic, and Builder.ai, are attracting investments from tech giants like Microsoft, Amazon, and Alphabet, with the potential to drive significant economic growth and revolutionize industries.
The Allen Institute for AI is advocating for "radical openness" in artificial intelligence research, aiming to build a freely available AI alternative to tech giants and start-ups, sparking a debate over the risks and benefits of open-source AI models.
Microsoft CEO Satya Nadella believes that AI is the most significant advancement in computing in over a decade and outlines its importance in the company's annual report, highlighting its potential to reshape every software category and business. Microsoft has partnered with OpenAI, the breakout leader in natural language AI, giving them a competitive edge over Google. However, caution is needed in the overconfident and uninformed application of AI systems, as their limitations and potential risks are still being understood.
