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Health Tech’s Prescription: AI 🩺💊– Google’s Growth Academy Stokes the Future of Healthcare

Your AI Product - News Report - April 9th

Author

Samuel Pierre-Gilles
April 09, 2025

For those that are new around here, this is an extension of my weekly newsletter where I highlight new and innovative AI products that are worth exploring.


Hey hey!

Happy Wednesday!

Here’s your news in newsletter!

Riding off the high of yesterday’s catchup recap, Today’s News issue covers the news from the past week, so it’ll be short and sweet.

In this Issue:

  • Your Weekly Industry News Recap

  • The Raise Recap

Headliner: HealthTech’s Prescription: AI 🩺💊– Google’s Growth Academy Stokes the Future of Healthcare

25 startups using AI to transform healthcare

Learn how the 2025 Growth Academy: AI for Health cohort is building the next generation of healthcare solutions.

blog.google/outreach-initiatives/entrepreneurs/growth-academy-ai-health-2025

Google is giving HealthTech its daily dose of supplements, launching its Growth Academy to back the next generation of AI-powered medical startups. 🏥💥 With this cohort of support, these promising ventures are getting VIP access to funding, mentorship, and deep tech support straight from Google’s AI labs. It’s a major play to shape how we diagnose, treat, and scale care globally. This just might be the start of something great, and big. 💉🤖 🔗 Read more

Your Weekly Industry News Recap

  • Rival Technologies Unveils Multi-Agent AI Framework – New system allows multiple AI agents to collaborate and make decisions as a team. 🧠👥
    🔗Read More

  • DeepRoute AI Launches VLA Model at Mobility Show – This auto-focused AI model aims to bring smarter navigation to global carmakers. 🚗🧠
    🔗 Read More

  • Google Cloud & AI2 Commit $20M to Cancer AI Research – A major philanthropic effort to accelerate AI-driven oncology breakthroughs. 🎗️🧬
    🔗 Read More

  • AI SaaS Tool for Wind Energy Development – This platform helps developers optimize wind projects using AI and geospatial data. 💨🛠️
    🔗 Read More

  • Amazon’s AI Agent Will Shop Other Sites for You – Amazon’s shopping assistant is breaking the walled garden and browsing third-party stores. 🛍️🕵️
    🔗 Read More

  • Meta’s Llama 4 Model Now on Cloudflare & Snowflake – New LLM available across platforms to power AI workloads faster and cheaper. ☁️🦙 
    🔗 Read more on Cloudflare’s blog
    🔗 Read more on Snowflake’s post

  • WSP on AI’s Role in Mining’s Future – AI is being used to optimize operations and improve safety in the mining industry. ⛏️🤖
    🔗 Read More

  • France Pushes for Global AI Governance – French diplomats are calling for inclusive, ethical international AI governance frameworks. 🌍📜🔗 Read More

  • Why European AI Startups Are Skipping VC Stages – Bootstrapping and non-traditional funding are becoming the norm across the EU. 💶🧠
    🔗 Read More

  • CIOs & CISOs Need a Strategy for AI Copilots – Enterprise tech leaders must align on how to safely and effectively deploy copilots. 🧑‍💼⚖️
    🔗 Read More

  • YouTube Recap: How Nvidia Thinks About AI Infrastructure – Insights from an Nvidia exec on what it takes to build scalable AI systems. 🖥️💬

  • CXAI Reports Record 2024 Business Performance – CX App highlights its 2024 growth, citing strong demand for AI-driven workplace solutions. 🏢📈
    🔗 Read More

  • Cisco Calls for Building Trust in AI Age – Cisco urges companies to make trust, transparency, and responsibility core to AI design. 🔒🌐
    🔗 Read More

  • Kong Talks API + AI Governance Strategy – API experts at Kong discuss how governance can evolve alongside AI services. 🔌📜
    🔗 Read More

  • Post-Training Valuations Are Getting Weird – AI startups are seeing strange valuation dynamics after model training ends. 📉📈
    🔗 Read More

  • Chargebee Launches AI Monetization Tools – New SaaS tools help companies price and package AI products for recurring revenue. 💵💻
    🔗 Read More

This Week’s Raise Recap 📈💰 

  • SignalFire Raises Over $1B to Back AI Startups – SignalFire’s new war chest will fuel early-stage AI startups across sectors. 💸🤖
    🔗 Read More

  • Chef Robotics Cooks Up $43M in Series A – This kitchen robot startup is scaling AI-powered food prep with fresh funding. 👨‍🍳🤖
    🔗 Read More

  • Rescale Raises $115M to Expand AI Engineering Tools – The digital engineering platform is using AI to streamline simulations at scale. 🛠️🧠
    🔗 Read More

  • IBM Acquires Hakkoda to Boost AI Capabilities – Big Blue is expanding its AI consulting bench with this data-savvy acquisition. 🧑‍💼🔍
    🔗 Read More

  • Sanctuary AI May Be Acquired by Apptronik – Rumors swirl about a merger between two humanoid robotics heavyweights. 🤖🤝
    🔗 Read More

  • SandboxAQ Adds Backers, Raises Another $150M – With NVIDIA and Google on board, SandboxAQ’s hybrid AI + quantum ambitions are getting real. ⚛️💰
    🔗 Read More

  • Vopemed Secures $2.29M Pre-Seed for AI Surgery Visuals – Early funding will help enhance surgical video with AI insights. 🏥🎥
    🔗 Read More

  • Composio Raises $24M for Agentic AI Tools – This startup is betting big on low-code, AI-driven workflow automation. ⚙️🤖
    🔗 Read More

  • Actively AI Raises $22.5M for Real-Time Customer Insight Platform – Real-time, AI-powered business intelligence just got a major funding boost. 📊🧠
    🔗 Read More

What I’m Still Reading 🧪👀

This one’s a deep dive into the science of the recent cohort of LLMs; This the link preview says it all - for those curious about more of the innerworkings, have a go at it!

Measuring AI Ability to Complete Long Tasks

Despite rapid progress on AI benchmarks, the real-world meaning of benchmark performance remains unclear. To quantify the capabilities of AI systems in terms of human capabilities, we propose a new metric: 50%-task-completion time horizon. This is the time humans typically take to complete tasks that AI models can complete with 50% success rate. We first timed humans with relevant domain expertise on a combination of RE-Bench, HCAST, and 66 novel shorter tasks. On these tasks, current frontier AI models such as Claude 3.7 Sonnet have a 50% time horizon of around 50 minutes. Furthermore, frontier AI time horizon has been doubling approximately every seven months since 2019, though the trend may have accelerated in 2024. The increase in AI models' time horizons seems to be primarily driven by greater reliability and ability to adapt to mistakes, combined with better logical reasoning and tool use capabilities. We discuss the limitations of our results -- including their degree of external validity -- and the implications of increased autonomy for dangerous capabilities. If these results generalize to real-world software tasks, extrapolation of this trend predicts that within 5 years, AI systems will be capable of automating many software tasks that currently take humans a month.

arxiv.org/abs/2503.14499

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Stay well, and see you next week!

-✌🏽 Sam

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