Google is challenging OpenAI with its new enterprise AI, Gemini
Sept 19, 2023
Made with Midjourney and Canva. Prompt: ‘a robot holding something in its hands --ar 16:9 --v 5.2’
📰 Top Stories: Google Nears Release of Gemini AI to Challenge OpenAI
👀 Content: The Google Antitrust Trial Is About the Future of A.I + A leading MIT economist is learning to fear AI
💰 Funding: Writer, a full-stack generative AI platform for enterprises, raises $100M + GE HealthCare receives $44M from the Bill & Melinda Gates Foundation for AI-powered Ultrasounds
⚡️ Quick News Hits
Microsoft’s AI Research Division accidentally exposed 38TB of sensitive information
NSA publishes new guidance for organizations and enterprises to guard against AI fraud and deepfake threats
Softbank is looking to invest $10Bn+ in AI after completing Arm’s IPO, w/ OpenAI as one of the significant options
China and the EU held talks covering key issues in AI including platforms, data regulation, and cross-border flow of industrial data.
The Department of Defense partnered w/ Google to build an AI-powered microscope that can help doctors identify cancer.
Microsoft is experiencing a surge in enterprise demand for its AI products in Hong Kong, amid the US-China tech war that threatens cloud services.
Morgan Stanley announces new AI assistant created w/ OpenAI for financial advisors, giving speedy access to a database of 100K+ reports and documents.
Microsoft AI and Project Gutenberg partner to provide thousands of audiobooks to public for free
27 MIT scholars awarded seed grants to study the social implications of generative AI
📰 Top Stories
(8 min read) (Source: The Information)
TLDR: Google is nearing the launch of its conversational AI software called Gemini, aimed at competing with OpenAI's GPT-4 model. Gemini utilizes large language models to power chatbots, summarize text, generate code, and create images based on user requests.
Google's investment in Gemini is substantial, with the company planning to integrate it into various consumer services, including its Bard chatbot and Workspace software, and offer it through its cloud unit to compete with Amazon Web Services and Microsoft.
Gemini has an advantage over GPT-4 as it leverages Google's proprietary data alongside public web information, resulting in higher accuracy and fewer errors. It's expected to excel in understanding user intentions.
Both Google and OpenAI are sprinting to bring multimodal capabilities to their language models, potentially revolutionizing fields like web development and data interpretation. OpenAI has had some delays with its multimodal GPT-Vision due to ethical considerations around potential misuse, such as automated captcha-solving or facial recognition.
(4 min read) (Source: The Verge)
TLDR: The UK's Competition and Markets Authority (CMA) has issued seven principles for regulating AI systems, particularly foundation models like GPT-4, used in generative AI. These principles include accountability, broad access to inputs and data, diverse business models, choice, flexibility, fair dealing, and transparency.
The CMA aims to deepen its scrutiny of AI and has initiated dialogues with key players in the field, including Google, Meta, OpenAI, Microsoft, NVIDIA, and Anthropic, as well as seeking input from consumer groups, civil society, and regulators. It plans to publish further findings in early 2024.
The CMA's focus on AI regulation is driven by the potential impact on markets and consumers, aiming to ensure consumer protection and prevent market dominance by a few players. The UK government has also prioritized AI development, positioning the country as a leader in the field.
The Big Picture: As AI's influence expands, regulatory bodies are taking steps to ensure responsible AI development, promote competition, and protect consumers. Globally, governments are exploring AI regulation, with the European Union proposing AI Act focusing on foundation models and China mandating AI companies to register with the government. The US is working on its approach to AI regulation.
(10 min read) (Source: WIRED)
TLDR: Pebble, a social platform competing with “X”, has introduced an AI-driven feature called "Ideas" that suggests posts or replies to users based on their past activity. This AI feature aims to enhance the user experience by providing content suggestions, ultimately increasing engagement on the platform.
Pebble is among the first social platforms to offer fully automatic AI-generated post suggestions without requiring user prompts. This approach sets it apart in the competitive landscape, where platforms are increasingly integrating AI to improve user interactions.
Big Picture: Pebble's adoption of AI-driven content generation represents the growing influence of artificial intelligence in shaping online social interactions. As more platforms explore AI's potential, questions regarding content quality, authenticity, and moderation in the digital realm become increasingly pertinent.
👀 Interesting Reads and Content
The Google Antitrust Trial Is Really About the Future of A.I. (The New York Times)
Those trying to pick AI winners should remember the dotcom days (Financial Times)
Charted: The Exponential Growth in AI Computation (Visual Capitalist)
The Talent Implications of Generative AI (Bain & Company)
Analysis and Critiques
Schumer Wants a Cut of AI (The Wall Street Journal)
💰 Funding News
Other Notable Investors: Insight Partners, WndrCo, Balderton Capital, Aspect Ventures, and customers Accenture and Vanguard.
Funding is for developing AI agents, enterprise multi-modality language models (LLMs), and industry-specific LLMs while also expanding internationally.
They’ve demonstrated significant ROI for enterprises, returning an average of 7.5hrs of productivity per employee per week. It addresses a wide range of use cases, from content creation to legal and compliance.
2. GE HealthCare received a $44M grant from the Bill & Melinda Gates Foundation for AI-Assisted Ultrasound Technology.
Other Notable Investors: Greycroft Partners, Inspired Capital, General Catalyst, G9 Ventures, Red Antler, Future Back Ventures by Bain & Company, and Offline Ventures.
5. Betterleap, a startup building a generative AI powered database of job candidates to assist recruiters w/ automated candidate sourcing, research, and outreach, raised a $13M Seed round, led by a16z and Peakstate Ventures.
Other notable investors: Streamlined Ventures, Active Capital, Air Angels, and Stipple Capital.
7. Superorder, a restaurant tech company building generative AI powered order management tools to enhance restaurants' profitability from online sales, raised a $10M Series A led by Foundation Capital.
Other Notable Investors: Michael Seibel (Managing Director of Y Combinator), Kyle Vogt (Cofounder/CEO Cruise), Jon Swanson (Chairman Thumbtack), James Beshara (Founder MagicMind), BBQ Capital, I2BF Global Ventures, and others.
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