How Generative AI Humbled A Silicon Valley Giant ????

Welcome back,?Tars?Family!

Gen-AI is?accelerating at such an incredible?pace that everyone on the internet almost missed?the greatest Silicon Valley confession?of all time.??

In their recent 2023?report?aptly titled?"Generative AI’s Act Two",?Sequoia Capital?- perhaps the most important Venture Capital Fund in?Silicon Valley - made an unbelievable?mea culpa.?

Sequoia admitted they were?wrong - dead wrong -?about the future?of Generative AI??????

So to sum up -?last year?Sequoia predicted a slow?decade-long crawl?towards intern-level code generation, Hollywood-grade videos, and human-quality speech.?But the?future arrived at warp speed?instead.?

What Sequoia thought would take atleast 10 years is already our present reality. And what's more?the end-user demand for Generative AI is so high that it has already overtaken the available GPU supply.?

They. did. not. see. this. coming.

Curious to know?how?Sequoia got it so wrong??Stick around because in this week's?Spotlight Feature, we'll be answering this exact question.?

But before we dive further in, lets first take a look at?what?Team Tars?has been working on?????

??? What's ?? at Tars ?

??Intent-Detection V2 Is Here????With our latest update we've seriously upgraded the?mind-reading?(or as developers put it -?'intent detection') skills of?Tars Prime?— our best-in-class?AI-powered CX?Platform.?

What does this mean?for you?and your customers?

Improved intent detection will help your?Virtual AI Agent?better understand user queries, leading to more precise, empathetic and relevant responses. Put simply,?more precision = higher CSAT.

??Spreading The AI Gospel???Our?CTO Vinit?just?published?a brilliant tutorial on YouTube that shows?how you can make a Slack AI Agent using Langchain.?It's a must-watch.

P.S.?We can neither confirm nor deny?why?Vinit is making a Langchain tutorial about creating a Slack Assistant???

?? Spotlight Feature ??

Exploring The AI Effect

Here's the trillion dollar question:?Why?did Sequoia Capital make?such a giant mistake about the?pace?of Gen-AI development?

The answer to the question surprisingly stretches all the way to the 1950s

In?1955,?John McCarthy?coined the term AI?- this is well known.?

What is?less known?is that?he soon grew disillusioned?about the term and coined another related term?- the?"AI Effect".?

Put simply the AI Effect is the observation that?once something 'works', the world no longer considers it to be?truly?'AI'.

Think computer vision – what was cutting-edge AI is now just a Waymo ride in California or an app on your smartphone. The moment a technology succeeds starts succeeding, it's not considered?AI anymore.

Language translation, sentiment analysis, recommendation systems - all were AI challenges; now, they're just part of our daily tech diet. The more commonplace, the less we label it AI.

In essence, Sequoia's misstep reflects a broader human quirk – the tendency to relegate once-cutting-edge tech to the mundane. Sequoia couldn't predict how quickly Gen-AI will progress in its abilities, because it kept thinking 'true' AI is further away - and that the technology?isn't?quite?there yet.?But?it so is.

Industry Talk ??

What Is The? #1?Gen-AI?Priority?of CEOs ?

The very first line of the?CEO's Guide To Generative AI?- published by no less than?IBM?- reads as follows:

"No single area of an organization provides a better foundation to demonstrate generative AI success than customer service."

That's All For This Week.

Happy automating ??

Ish from?Tars