📈 How are companies using AI?

➜ Amazon and Virtual Try-All: Amazon's R&D team has introduced "Diffuse-to-Choose," a novel generative-AI model that lets users insert any product into any location in any scene. The results look incredibly realistic!

Amazon

➜ Top Banks Testing AI to Replace Junior Analysts: Goldman Sachs, JP Morgan Chase, and Morgan Stanley are quietly testing generative AI tools under intriguing code names, such as ‘Socrates’. Media reports suggest that the end goal is to replace junior analysts who currently compile reports, interpret data, and crunch numbers.

CIO.com

➜ Google Restructures Finance Teams: While banking giants may be moving slower with AI-replacing-human initiatives, Google’s CFO has announced a finance team restructure following AI deployment. It seems that changes are coming sooner than anticipated.

CFO

➜ Mark Zuckerberg Catching Up With LLMs: Llama 3, a new version of open source LLM from Meta has been released. Impressive work: both models, the 8B and 70B can run locally on a laptop, and initial assessments suggest some parameters are equal or superior to those of the GPT-4. As of now Meta appears to be targeting chatbots rather than offering an enterprise-ready solution.

Meta

➜ Another Leap in AI-Generated Videos: Microsoft Research team has unveiled VASA-1, an AI-driven technology capable of generating lifelike talking faces in real-time. VASA-1 can generate expressive and emotionally rich audio in 30 languages. 

Microsoft

➜ Generative AI Gold Rush Drives IT Spending: Global IT spending is predicted to grow by 8% this year, fueled by the AI hype and COVID-era device replacements, according to Gartner.

Gartner

➜ AI Beats Humans on Most Tasks, But Not All: Ten key AI trends spotted – a quick glance at the new AI index report from Stanford is recommended.

Stanford.edu

➜ Adidas and AI: If you’re curious about how AI is being integrated into Adidas's operations, don’t miss our session with David Westera from Adidas. He will discuss Adidas's AI journey, its role in product management, and how it's used to prioritize initiatives. It’s this week!

Disruption Talks with Adidas

💡 What are the nerds up to?

➜ Intel Mimics the Human Brain: Intel has constructed an impressive AI system designed to function like the human brain. Dubbed "Hala Point," this world’s largest neuromorphic computer contains over 1 billion artificial neurons and 128 billion artificial synapses spread across 1,152 specialized AI chips.

ZDNet

➜ AI Multi-Agent Collaboration is a Big Thing Coming: Andrew Ng, co-founder of Coursera, identifies this as one of the four key AI agentic design patterns. The concept involves breaking down complex tasks, such as software writing, into subtasks to be executed by different agents—imagine counterparts for a software engineer, product manager, designer, QA engineer, and others. Definitely worth a read!

DeepLearning

➜ Curious to Learn AI? Start with Embeddings: For app developers curious about entering the AI world, starting with embeddings is a great option.  

Bawolf

➜ Text to 3D Assets: Rodin is transforming text and images into production-ready 3D assets. The tool is set to launch in May, and the initial teasers are looking promising.

Reddit

➜ Mixed Reviews for the Humane AI Pin: The first hands-on tests of this new wearable AI device have been published. The verdict? Pros: ability to identify objects, gesture navigation, laser projections, and AI-driven responses. Cons: inaccuracies, response delays due to off-device processing, poor visibility in sunlight, and overheating. Is it worth the $699 price tag?

TheVerge

➜ AI in Any App: Kerlig is an in-context AI writing assistant for macOS. It enables you to perform various actions on texts in any open app—fix spelling, change tone, write a reply, answer questions, etc., using tokens. Kerlig works with OpenAI, Claude, or Gemini accounts. The app was developed by Jarek, one of the former Netguru product designers—congrats!

Kerlig

Thanks for reading!

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