✨Do You Trust Your AI Systems?

Leverage Games, Benchmarks, & People

Your weekly briefing on all things AI

As we advance into the AI-driven era, building trust in AI systems is becoming paramount. New benchmarks and development approaches are making AI decisions more transparent and reliable, addressing key challenges in AI adoption. This increased trust is essential as businesses integrate AI more deeply into their operations, leveraging its strengths while acknowledging its limitations.

At the forefront of this revolution is the rise of the Chief AI Officer (CAIO) role. CAIOs are becoming indispensable in discerning and integrating AI in the most effective ways possible. They are the bridge between cutting-edge technology and strategic business implementation, ensuring that AI's potential is fully realized while maintaining trust and transparency. According to LinkedIn, 13% more organizations have created AI executive leadership roles since December 2022.

Let’s dive in:

📰 Rowan Cheung Interviewed Top CAIOs and Provided Meaningful Insights

📈 Serve Robotics (a Tiferes portfolio co.) Surges After Nvidia Disclosure

💡 Can AI Be Your Doctor? Top Language Models Ace Medical Exams

 🛠️ AI Generated Employee Training

📰 AI in the News

AI Plays "Prover-Verifier": New Game Makes Language Models More Trustworthy

OpenAI is using a game to help AI models explain their reasoning processes, making AI decisions more transparent and reliable. It's based on a clever game called the "Prover-Verifier Game." Here, two AI models play against each other. One tries to convince the other of something (the Prover), while the other checks for accuracy (the Verifier). Through repeated rounds, both models learn to explain their reasoning better. This transparency builds trust in AI and paves the way for reliable AI applications in the real world.

This approach reduces the risk of errors or "hallucinations." For businesses, this transparency boosts trust in AI-driven insights, enhances decision-making, and increases customer confidence in AI-powered products and services. (Link)

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The Rise of the Chief AI Officer: Navigating the AI Revolution in Business

Artificial intelligence is changing how companies work and a new leadership role is taking center stage: the Chief AI Officer (CAIO). Rowan Cheung’s recent interviews with top CAIOs have provided intriguing insights into this evolving position, highlighting the challenges and opportunities it brings. As companies strive to incorporate AI into their operations, the demand for skilled AI leaders who can connect technology with business strategy is rapidly increasing.

Here are the key findings from these discussions:

  • CAIO Demand: 21% of organizations surveyed are actively seeking a CAIO, with demand expected to increase.

  • Organizational Insight: Successful CAIOs need a deeper understanding of organizational processes than AI knowledge.

  • Talent Shortage: There is a significant talent shortage for individuals skilled in both business operations and AI implementation.

  • Specialized Roles: Long-term trends indicate a move towards specialized AI roles, with the CAIO serving as the central orchestrator.

  • Senior Staff Adoption: In large organizations, senior staff are surprisingly more willing to adopt AI compared to younger employees.

As the role of the CAIO continues to evolve, it is clear that the future of business will be shaped by leaders who can seamlessly integrate AI with strategic business operations, driving innovation and growth in an increasingly competitive landscape. (Link)

  • Elite Israeli Unit Rejects $23B Offer From Google For Their Security Tech Wiz (Link)

  • Google DeepMind's Jeff Dean Highlights AI's Minimal Role in Data Center Emissions Growth. (Link)

  • Anthropic Launches Claude App for Android Devices. (Link)

  • Microsoft Unveils ‘SpreadsheetLLM,’ an AI System for Extracting Insights from Spreadsheets. (Link)

  • Google Makes AI Agent Platform Project Oscar Available as Open Source. (Link)

  • Proton Mail Introduces Open-Source AI Writing Assistant to Compete with Gmail. (Link)

  • Leading AI Companies Collaborate to Advance AI Security Measures. (Link)

  • Andrej Karpathy’s New Startup Focuses on AI Assistants for Education. (Link)

  • Mistral Introduces Codestral Mamba for Enhanced and Extended Code Generation. (Link)

  • Adaptive Develops Automation Tools to Accelerate Construction Payment Processes. (Link)

📈 Venture Deals 

Nvidia Disclosed $9.8M Stake in SERV Driving Triple-Digit Stock Surge

Nvidia recently reported on their investment in the self-driving delivery sector, (10% stake in Serve Robotics worth $9.8 million), causing Serve's stock price to surge by over 300% since Thursday morning. The move fits with Nvidia's recent trend of investing in AI startups, similar to its earlier investment in Soundhound AI. In that case, Soundhound's stock value also tripled within a month after Nvidia disclosed a stake worth just $4 million in mid-February. Serve Robotics, which runs partly self-driving delivery robots in San Francisco and Los Angeles, has an interesting history. It started as part of Postmates, was bought by Uber in 2020, and then spun off as its own company in 2021. (Link)

More Venture Deals

  • Huma Raises $80M to Launch New Digital Health Platform (Link)

  • CytoReason secures $80M in funding from Nvidia and Pfizer for its Israeli medical AI tech. (Link)

  • Arrcus raises $30M to advance hyperscale networking software. (Link)

  • Vectara raises $25M to launch Mockingbird LLM for enterprise chat applications. (Link)

  • Kindo receives $20.6M to enhance security in enterprise AI. (Link)

  • Exa collects $17M from Lightspeed, Nvidia, and Y Combinator to create a "Google for AIs." (Link)

  • Artificial Agency obtains $16M to develop more lifelike characters in video games. (Link)

  • Shaped raises $8M in Series A to debut its self-serve recommendations and search platform. (Link)

💡 Industry Impacts

🏩 Healthcare

Doctors vs. AI: AI Models Outperform Human Doctors in Clinical Test

Recent evaluations of leading large language models (LLMs) in clinical settings reveal their growing capabilities in medical reasoning. In a test using 50 questions from the 2023 USMLE Step 3 exam, several AI models demonstrated their capability to tackle complex clinical scenarios. The results were as follows (Avg. human score was 75%):

  • ChatGPT-4o (OpenAI): 98%

  • Claude 3.5 (Anthropic): 90%

  • Gemini Advanced (Google): 86%

  • Grok (xAI): 84%

ChatGPT-4o achieved the highest accuracy, showcasing detailed and well-reasoned responses. Claude 3.5 followed with a strong performance, providing clear and accessible explanations. Although these models were primarily designed for general language tasks, their ability to handle clinical questions indicates a promising potential for AI to contribute significantly to medical diagnostics and treatment, potentially transforming traditional healthcare approaches. (Link)

🏠 Real Estate

Agnt AI Inc. Aims to Revolutionize Content Creation in Real Estate

Rick Orr, an experienced real estate broker and serial entrepreneur, launched Agnt AI Inc., a new company focused on real estate. Agnt AI uses generative AI tools to help real estate agents with content creation, listings, websites and other marketing materials. The company leverages its founders' experience in real estate and combines AI models from Anthropic, OpenAI and Microsoft to provide real estate specific insights and marketing materials. Agnt AI is raising seed funding and is launching its platform at a time when real estate agents are facing challenges due to a changing market and lawsuits regarding commissions. (Link)

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