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  • 125 | šŸ”¬šŸ„ž 8 mins might save you 2 hours

125 | šŸ”¬šŸ„ž 8 mins might save you 2 hours

Brainyacts #125

Itā€™s Tuesday. And this happened yesterday. A 1st-year associate posted about an assignment they got from a partner. A BigLaw partner chimed in and suggested using ChatGPT (in all seriousness). This is a great demo of how 1st years can accelerate basic learning when a mentor is unavailable or they donā€™t want to look like they donā€™t know something. Check the replies.

In todayā€™s Brainyacts:

  1. How to find the right speaker on GenAI

  2. How I saved 2 hours using GPT-4 in drafting an SOW

  3. AI is still thirsty and drinking tons of H2O and other AI-related news

  4. Morgan Stanleyā€™s chatbotĀ and other news you can use

šŸ‘‹ to new subscribers!

To read previous editions, click here.

Lead Story

šŸ’£šŸ„°Ā  How to choose the right Generative AI ā€œexpertā€

Today, a frustrated email landed in my inbox from a professional at a law firm. Their leadership had brought in a so-called 'generative AI expert,' bolstered by social media clout and praised by many in the legal circuit. Yet, the delivered talk was a perplexing array of jargon and pretentious lexicon. The overarching sentiment? A performance aimed more to impress than instruct.

Regrettably, this isn't an isolated tale; similar feedback has been echoing across the sector. Now, I'm not here to point fingers. Consultants, eager to secure gigs, may sometimes overshoot their scope, and firms, pressed for time, might rush the vetting process. The fallout? Disappointed audiences and squandered opportunities.

To bridge this gap and prevent such mismatches, Iā€™ve crafted the checklist "Vetting AI Experts: A Practical Guide for Legal." This is based on my direct experience working with 1000s of people in the legal market on understanding Generative AI.

Dive in, and make sure the next AI talk at your organization is enlightening, engaging, and pragmatically useful.

DOWNLOAD THE PDF HERE.

Here is a snapshot:

Spotlight Story

šŸ”¬Ā šŸ„ž 8-min Use Case that saves me 2 hours!

Personal Micro-Productivity with GPT-4 - Directly from my own work as shared with the Chief Legal Officer and in-house team at Ferring Pharmaceuticals today.

Everyone's clamoring for use cases when it comes to generative AI. It's the buzzword on every enthusiast's lips. This very thirst for tangible applications is why I birthed this newsletter. But hereā€™s a revelation: I didn't just want to spout off prompts. Prompts, without context or purpose, are like cars without fuel. And yes, Iā€™ve shared a plethora of use cases, yet there's this underlying sense of discontent. Maybe it's the looming shadow of AI-fatigue?

The current wave of AI enthusiasts is hungry for hard evidence. They demand black-and-white demonstrations of these tools delivering consistent, stellar results for specified tasks. Thatā€™s commendable! But here's the kicker: in their pursuit of definitive 'proof', they're missing the magic of what these tools truly offer.

These aren't just tools; they're gateways to a realm of incredible micro-productivity. They don't come with a one-size-fits-all manual. There isn't a single, predefined way to harness their potential.

Sure, guidelines exist. Best practices are there to guide us. But if youā€™re on a quest for the 'holy grail' of use cases, you're setting off on a wild goose chase. The real power lies in recognizing and stacking these micro-gains, which help us reclaim time, sharpen our cognitive prowess, and enhance focus.

Hereā€™s a real-world snapshot for you, hot off my desk ā€“ a testament to the gains in personal productivity I experience daily with GPT-4. Dive in and see for yourself.

AI Model Notables

ā€¢ Microsoft Sees Low Risk for Customers in AI Copyright Lawsuits

ā€¢ Artificial intelligence technology behind ChatGPT was built in Iowa with a lot of water. ChatGPT uses 500ml every 5 to 50 prompts (thatā€™s roughly the size of a Monster energy drink can). The estimate is from researchers at the University of California based onĀ YOY increase in Microsoft's (34%) and Googleā€™s (20%) water usage.

ā€¢ Meta plans to begin training an LLM in Q1 2024 to match GPT-4

ā€¢ OpenAIā€™s GPT-4 Scores in the Top 1% of creative thinking

ā€¢ Google pledges $20 million for responsible AI fund

ā€¢ Interesting video interview with OpenAI CEO Sam Altman šŸ‘‡

News You Can Use:

āž­ US Senators release AI regulatory framework.

āž­ Taiwan's NYCU School of Law Launches Course on Using ChatGPT

āž­ IRS using AI to catch tax schemes

āž­ Morgan Stanley to launch AI chatbot to woo wealthy

āž­ These Prisoners Are Training AI

āž­ A boy saw 17 doctors over 3 years for chronic pain. ChatGPT found the diagnosis.

āž­ Apple had its annual Apple Watch and iPhone event today - and no news on the AI front.

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Who is the author, Josh Kubicki?

Some of you know me. Others do not. Here is a short intro. I am a lawyer, entrepreneur, and teacher. I have transformed legal practices and built multi-million dollar businesses. Not a theorist, I am an applied researcher and former Chief Strategy Officer, recognized by Fast Company and Bloomberg Law for my unique work. Through this newsletter, I offer you pragmatic insights into leveraging AI to inform and improve your daily life in legal services.

DISCLAIMER: None of this is legal advice. This newsletter is strictly educational and is not legal advice or a solicitation to buy or sell any assets or to make any legal decisions. Please /be careful and do your own research.83