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The EASY way to Empowering your Future: AI Innovations, Financial Insights, and Exciting Opportunities!

PLUS: Dive into the dynamic world of AI's literary comprehension, unravel money's mysteries, explore Snowflake's latest job offerings, and stay updated with trending product strategies.

We now live in an Economy dominated by AI products (TM by Recap). We are living in a different era. In the last 15 years, 52% of the fortune 500 companies have disappeared. Toys "R" Us and Sears, have ceased to exist due to failing to adopt emerging technologies whereas companies such as Amazon and Google have emerged victorious, leveraging artificial intelligence. Similarly, stalwarts like Walmart successfully reinvented themselves, using AI for inventory management and even for in-store robots. So, what ties these winners together?

Imagine a future where AI doesn't just support our decisions but anticipates them. It's a world where AI-powered healthcare, like Google's DeepMind, can predict illnesses before symptoms appear, enabling preemptive treatment. A world where AI in agriculture, like John Deere's autonomous tractors, use precise data to seed and harvest crops, addressing food security. It's a future where AI-based learning products, like Century Tech, personalize education to each student, optimizing their learning process. Do not get stuck in the old world - aka traditional media - and old-school products, dominate the new world with “The Recap”. The AI Product Economy is here. The way we do business has fundamentally changed. ” There was a pre-Recap Bryan and a post-Recap Bryan. It was really painful before the newsletter came along.” Bryan Yayla, CPO, Advisor.

DYOR Recappers!

Here’s what we got for you today: Grab your cup of coffee and let's dive in!

Read time: 6 minutes

Our Software App + Infra Product Portfolio + S&P500

Think of OpenLLM as a wizard's toolbox for operating large language models - the brainy software that can chat, write, and even understand languages like humans. It's like an all-in-one kitchen where you can tweak these models to your taste, easily serve them over the internet, and keep an eye on their performance. It's like a multi-tool that can work with many big names in the language model world.

Moreover, it loves teaming up with other tools like LangChain, BentoML, and Hugging Face, making it a cinch for you to cook up your own AI applications. OpenLLM is your trusty Swiss Army knife for working with language models in real-world scenarios!

This Week Product Management Offers 🛠️

A time not too far from now where AI not only assists but anticipates our information needs, in real-time, with the precision of an entire book's worth of information. Picture this. In this brave new world, your AI companion effortlessly processes the content of an entire novel like 'The Great Gatsby', about 72,000 words, to answer your queries with unprecedented context and depth. Thanks to the recent leaps in Large Language Models (LLMs) technology, this future isn't as distant as it once seemed. Companies are leveraging transformative techniques, bringing us closer to making this vision a reality.

You, the innovator of tomorrow, have the potential to harness the power of these models, using new positional embedding, Sparse Attention, Flash Attention, Multi-Query attention, and high-capacity GPUs to handle the wealth of data. You can redefine how AI integrates into daily life, making it not just a tool but a proactive partner. Think of AI-enhanced literature discussions, where AI comprehends the entire plot, context, and literary devices, enriching your understanding and appreciation of literature. This is your chance to shape the future, using AI not just as a mere responder to prompts but as a catalyst for deep, meaningful conversations and interactions. The power of the new-age AI is at your fingertips - it's time to embrace it and rewrite the rules of engagement.

Pricing Money is a beginner's guide to understanding the complex world of money, bonds, futures, and swaps. Crafted by J. D. A. Wiseman, the book offers insights into the subtle and intricate structure of fixed income markets, which differs significantly from other markets due to its deep connectivity. A trader in this realm must consider the cost of borrowing for different durations, channels, and classes of borrowers, each interconnected. Yet, despite its intricacy, the fixed income market is simpler than the equities market, where individual stocks like Apple or J.P. Morgan move in weakly-connected ways, influenced by a myriad of factors.

The book, written between autumn 2000 and April 2001, and published by Wiley in September 2001, has now been released online following the return of copyright to the author in November 2019. While the original text remains unaltered in its meaning, minor typographical errors have been corrected, and the author's modern commentary is highlighted in green boxes. The book's online version is offered freely, with a gentle ask that readers share a review on social media. However, be cautioned: despite its comprehensive content, the book does not promise instant expertise. While it outlines the broad strokes of financial markets and instruments, the book is a stepping stone in your journey of financial understanding, not the end destination.

Trending Products 🛠️

  • Typefully 2.0 : Effortlessly publish on Twitter and LinkedIn, now with AI (link)

  • Campsite : Get better design feedback and keep everyone in the loop (link)

  • Codesphere : Deploy anything in under 5s, no DevOps experience needed (link)

  • Rasayel : WhatsApp business messaging, automation, chatbot & broadcast (link)

  • Current : Share work-in-progress & get weekly AI powered summaries (link)

  • CheckYa : The all-in-one tool for freelancers and creatives (link)

  • Oso Cloud : Authorization for the next billion developers (link)

Product Jobs - New 💼

Building empathy:

  1. Observe people interacting with products

  2. Deconstruct everyday products

Improving creativity:

  1. Learn from great product thinkers

  2. Be curious about changes in technology and your domain

How to tell if you’re getting better at product sense 📈

Developing product sense takes time and practice. As you get better at it, you’ll:

  • Notice subtle things about products and people that you would have missed before (e.g. micro frustrations and delights)

  • Anticipate non-obvious user problems when you look at product experiences or before you present at product reviews

  • Develop higher-quality hypotheses about product experiences to build, even in the face of ambiguity

  • Contribute more unique insights to your team, given your improved understanding of users and the landscape

  • Be right more often than not about what impact a change to a flow has on metrics

  • And, potentially, receive comments from your design partner on how impressed they are with a detail you noticed

I hope you decide to invest in developing your product sense, and that the practices in this article, on strengthening empathy and creativity, are as useful to you as they’ve been to me.

And the other thing that perplexes me is that product leaders expect people to talk about a product being great. And people don't talk about a product doing exactly what they expected it to do. They talk about a product doing what they didn't expect. And you look at a product like Tesla. People are not going and talking about how they had a great drive today, but they're talking about the Easter egg they discovered on the dashboard or the cool new feature that they discovered that is associated with Christmas or whatever.

And so, it always is interesting to me. In consumer and even enterprise products maybe especially so, why aren't we optimizing for those things that people wouldn't expect the product to do as a way to get that surprise and delight to talk about it, to develop a relationship with our products? I think that's another piece of the puzzle.

Memes 🤣

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