• Charbel X
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  • Bot Makes Decisions on your behalf, Upcoming ChatGPT Browser, Product Life-cycle and more

Bot Makes Decisions on your behalf, Upcoming ChatGPT Browser, Product Life-cycle and more

Would you trust a bot (a second you) to make your decisions?

Happy Saturday

Hope you’re enjoying your weekend and have some time to pore over the latest in design, tech, product and business.

Have a safe and gentle weekend, wherever you are.

Charbel
Founder of Velvet Onion, Faster Zebra and more to come …

Today’s Highlights

  • AI: The Upcoming ChatGPT-Integrated Web Browser

  • Design: Netflix’s Gore-filled Squid “Game”

  • Science & Tech: A Bot makes decisions on your behalf

  • Founding: The Rites of Decision Making

  • Product: Your Product’s Life Cycle: Strategy for Each Stage

  • Today’s AI image: A Second You

  • Quote for the day: From Gandhi

AI

The Upcoming ChatGPT-Integrated Web Browser

Word on the street is that OpenAI is eyeing a move into the web browser game, possibly launching a platform that blends ChatGPT with search features across partner sites. If true, this could put them head-to-head with Google Chrome’s browser and search empire.

All You Need To Know About It

OpenAI’s already poached some big guns from the Chrome team, including the likes of founding member Ben Goodger, to help steer the ship.

The company’s also busy making nice with major publishers and platforms, snagging AI data for training, which could give them both the keys to content and a leg up on integration.

They’re cooking up a search product, NLWeb, which lets users chat their way through websites like Condé Nast and Redfin.

There’s even chatter about a possible partnership with Samsung, bringing OpenAI's tech to their devices and poking a bit of fun at Google’s AI hold on smartphones.

In case you missed it, OpenAI just dropped ChatGPT Search, throwing real-time web browsing into the assistant mix.

Why is this a big deal?

OpenAI's got its sights firmly on Google, and every move—whether it’s product launches or tech strategies—seems geared to shake things up. By rolling out features that integrate seamlessly into partner websites, they’re aiming to make ChatGPT the go-to gateway for browsing the web.

Design

Netflix’s Gore-filled Squid “Game”

Netflix is gearing up to release Squid Game: Unleashed on December 17, just ahead of the much-anticipated second season dropping on December 26.

The game will bring the hit Korean series to life with a playful cartoon art style, but don’t let the aesthetics fool you—it still packs all the blood-soaked drama fans know and love.

Expect to see contestants facing deadly challenges, from getting crushed by vehicles to sliced by saws, all presented in a twisted, South Park-esque manner.

Despite some earlier controversy over Netflix's AI gaming ambitions, the buzz around Squid Game: Unleashed is positive, with many fans both surprised and excited about the game’s unique spin.

With the release timed perfectly just before the new season, fans can get their Squid Game fix before the next chapter hits.

Science & Tech

Is Automating Decision-Making Possible?

How would you like someone easing you of your head-numbing decision fatigue by taking most of them on your behalf just as you would’ve made them?

That “someone” can be something someday soon.

New research from Stanford and Google DeepMind shows that after a two-hour interview, AI can accurately replicate a person’s values and preferences, creating a digital twin that mirrors the human participant.

Test Results

The study tested 1,000 participants with personality tests, social surveys, and logic games, finding that AI agents mimicked the humans’ answers with an 85% accuracy rate. This could pave the way for more personalised AI experiences.

AI’s Social Potential

The goal of creating these "simulation agents" is to help researchers conduct social science studies without the need for real human participants. These AI models could be used to simulate behaviors in everything from social media interventions to traffic flow.

Difference from Tool-Based Agents

Unlike the tool-based agents used by companies like Salesforce and OpenAI, which handle tasks like scheduling or data entry, these simulation agents focus on replicating real human interactions and decision-making.

Concerns and Risks

The research does bring concerns, especially around the potential for creating deepfake-like digital personas that could be used maliciously.

Additionally, while the study shows good results, there are still challenges, such as the difficulty in mimicking unique human behaviors and idiosyncrasies.

This research anyway clearly suggests that AI models can be developed with fewer data points—just a couple of interviews rather than extensive data collection—making it easier to create a “digital twin” of someone with surprisingly high accuracy.

Founding

The Rites of Decision Making

Asking the Right Questions

It's all about setting the stage with the perfect questions. If you ask the right questions, you’re already halfway to making the right decisions.

Following the Right Decision Process

Now, decisions aren’t made in a vacuum. It’s all about having a reliable decision-making process in place. The process guides your choices, ensuring they aren’t driven by gut instinct or whimsy but backed by solid reasoning. Choose wisely - gut feeling or a bit of structured logic?

Choosing the Right Forum

Not every decision is made in the same setting.

Is it a big, collaborative decision that needs input from everyone?

Or is it a solo decision where you just need some quiet reflection?

Picking the right forum—whether it’s a team chat, a one-on-one, or even a virtual brainstorming session—sets the stage for a better outcome.

Engaging the Right Stakeholders

Finally, and perhaps most crucially, it’s about getting the right people in the room. You can’t make a solid decision if you’ve got the wrong crew involved. You need to loop in the right stakeholders who bring the expertise, the insights, and the perspective to make a decision that works for everyone.

Product

Your Product’s Life Cycle: Strategy for Each Stage

About 58 years ago, a well-known economist Raymond Vernon divided a product’s life cycle into four phases. It traces quite a long path originating from your head, winding into the market and finally fading into obsolescence.

Each stage calls for a different kind of strategic planning.

1: Introduction

You’re creating a product ready to traverse into the market. Aiming for first few suitable customers is a good place to start.

What it’s like

  • You’re naïve to the industry’s nuances. Patterns of behaviour, historical preferences and major aversions are not known.

  • Market is more uncertain since you’re unfamiliar. You might face many plot twists and pivots at this stage.

  • Your product might not get the recognition it deserves. Yet.

Strategy

  • Work on the core: Make sure you are solving a burning problem that has never been solved satisfactorily before. Find people who are ready to pay for your solution and position yourself as the best fit or for starters leastways, fit.

  • Befriend the market (GTM) : Start with the most likely prospects. Convert your first few early customers.

  • Know your competition: Observe your competitors’ moves. If and how they are gaining any success.

2: Growth

Your product is settled well in the market. More people want your product. Your goal at this stage is to increase your market share.

What it’s like

  • You’re better acquainted to the industry.

  • The buyer crowd expands. Good reviews, repeat-buyers and favourable word-of-mouth-ing.

  • If your product proved its worth to some, it will to majority.

Strategy

  • Spot the pattern: See how a lead warms. More importantly, the root reasons behind their purchase decision.

  • Pull a lever: Set up a sophisticated customer acquisition system.

  • Spot the pattern again: Look at the data your expanded consumer base has given rise to. Like Average Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC).

3: Maturity

Growth seems to have come to a halt. Time to spend efforts to retain your share in market.

What it’s like

  • An almost straight sales graph. Signs of number saturation.

  • Fewer chances of more new customers.

Strategy

  • Make it difficult for them to leave (Improving as individual): Launch new products that solve other equally painful problems ongoing. Make additions that have their own distinct use cases.

  • Make it un-profitable for them to switch (Improving against competition): Not only stand out with your product. But also show yourself stood out.

4: Decline

The growth reverses. You lose the numbers. You ought to build something fresh. An disruptive innovation.

What it’s like

  • The bars are raised so high for your product to be relevant anymore.

  • Inevitable aging of product. New tech arrives. Your customers eventually turn.

Strategy

  • Pre-planning: Equip yourself with sufficient resources at maturity itself. Instead of resting with peak numbers, start creating your next best.

  • A Newer Offer: Sniff out the upcoming big thing (or at least a trend) and based upon it, offer your latest innovation to your customers (before your competitors do.)

Today’s AI Image

A Second You

Source - DALL-E

Source - DALL-E

Quote of the Day

From Gandhi

“Be the change that you wish to see in the world.”

Mahatma Gandhi

What we’re working on

Velvet Onion & Friends

We’re in the process of rebranding Velvet Onion & Friends. Why? It’s an important stage in our evolution, and deepens the link between agency, product & education.

We’re at the final stages of planning for our pilot program. Working name is “99 Problems But A Pitch Ain’t One;” cute for internal projects, not sure it’s the name. Coming soon!

🧞Your wish is my command