artificial intelligence

Need Gift-Buying Advice for That Special Someone? Our AI SantaBot is Here to Help

Published

1 month ago

November 28, 2024

If you’ve been riding the wave of Bitcoin’s latest surge or watching your crypto wallet grow, the holidays might feel like the perfect time to turn those gains into memorable gifts.

But as any seasoned gifter knows, a big price tag doesn’t always guarantee a big impression.

That’s where SantaBot—our AI agent experiment designed to help you step up your gift-giving game—can help.

The project started with a simple question: Could AI decode personal chat messages to suggest more meaningful presents to your friends and loved ones? As it turns out, it can.

Designed to take the guesswork out of giving, SantaBot digs through conversation histories to build detailed personality profiles, gathering insights about their habits, preferences, and other aspects.

It even maps out Myers-Briggs and Enneagram personality types based on how people talk to each other.

The tool provides creative personalization ideas to make each gift truly unique.

For instance, you could gift your son a baseball bat engraved with his uniform number and initials or surprise your wife with a smartwatch featuring straps in her favorite color. These small, thoughtful touches can make a big impact.

Hands-On

Before giving my bot to the world, I decided to give it a try. I uploaded my WhatsApp conversation with my wife and asked her to tell me the best gifts I could give her.

SantaBot psychoanalyzed my wife’s WhatsApp messages, and folks, we’ve got ourselves a certified Type 2 personality (Helper, Giver) with a major love for desserts and fitness.

According to the bot, she’s what personality experts call an ESFJ (Extraverted, Sensing, Feeling, Judging), basically someone who’d organize a group hug and then make sure everyone filled out a satisfaction survey afterward.

The personality analysis shows she ranks high in agreeableness and extraversion, moderate in neuroticism (their words, not mine—I value my life), and has a practical streak that somehow doesn’t apply to transportation choices.

The bot didn’t just stop at basic personality traits. It went full CIA analyst on our conversations, noting some interesting things like her use of “Te quiero mucho mi flaquito” (translation: “I love you, my skinny one”) to her appreciation for little details instead of luxurious things.

SantaBot even picked up on her Uber addiction faster than our credit card company.

It painted a picture of someone who’s health-conscious but won’t walk two blocks if there’s a car service available—which is not 100% but is easy to infer if the only thing you know about her is our conversation history.

Now, for the gift suggestions, these were some of the most exciting picks.:

For the practical side:

A Miniature Chocolate Fountain with a customized base that says “Edgli’s [her nickname] Sweet Spot.” (considering she showed interest in buying one for future events)
An “Uber Survival Kit” with a prepaid card (cheaper than buying her an actual car) or a mug with “Boss of Uber Requests” printed on it.
A literal vault for her chocolate stash with “Keep Out, Unless You’re Amorsito” engraved on it—so I stay away from it.

For the fancy pants moments:

A custom box with desserts from Venezuela and Brazil.
A spa kit named “Aromas de Edgli” (much fancier than “Smell Like My Wife”).
A leather planner embossed with “Amorsito’s Plans.”
A Star Map Print showcasing the constellations of a meaningful date, like the day we met or the day our daughter was born.

And for when money is no object:

A smartwatch to help her keep track of her fitness activity and burn calories.
A designer handbag with her initials embossed.
A weekend getaway featuring a chocolate-tasting experience in Gramado (basically a desert safari in one of Brazil’s best tourist places).

It also recommended some funny gift ideas, including a “Drama Queen Survival Kit” (which she would hate), a “Custom Emoji Pillow” (which she would love) and a personalized apron with a nickname like “Chef Sass Master”

I compared SantaBot head-to-head against regular ChatGPT to see how it stacked up.

The difference was clear—while standard ChatGPT played it safe with generic suggestions, our specialized version picked up on subtle hints.

It’s not like its suggestions were useless, rather than less personal.

How to Get Santa Bot’s Help

To use our tool, you must upload your conversation history and interact with the model, asking for recommendations.

You can then go with follow-up questions, asking for more suggestions, personalization ideas, providing more contextual or personalized information, etc. The more information the AI handles, the better the results should be.

Some good starting prompts can be as simple as “Please carefully analyze this conversation and tell me what presents she/he would like” to things as complex as “What are the best presents I could give to a person with an ENFP type of personality.”

You can also play with the tool and iterate with it. Once it provides a reply, you can ask for more suggestions, ask for funnier recommendations, ask for more romantic gift recommendations, etc. It all depends on your intentions and expectations.

Exporting chats is pretty straightforward, depending on which messaging app you use.

WhatsApp users can export chats from the app, though iMessage folks need to use tools like iMazing to get their conversation data. Similar options exist for Telegram, Facebook, Instagram, and TikTok users. Just google them.

Also, ensure you only upload text conversations, so export your data without photos, voice notes, or documents.

This, of course, means there are privacy concerns that you should address. SantaBot requires access to those conversations to create its detailed profiles.

Sharing such personal data without permission could be unethical. The fix isn’t perfect, but it works: Ask the other person for permission to use the conversation for an AI experiment. If they agree, you’re good to go.

If you don’t want to go that route, you can take other steps.

First, names should be anonymized in exported chats by replacing them with placeholders. For this, open your TXT file, select the option to edit and replace text (this will vary according to your text processor), and choose to change the name for the placeholder in every instance. Save that file and upload it to ChatGPT.

Second, ensure OpenAI cannot use that chat to train its models. For that, the first thing you can do is adjust your ChatGPT settings to disable memories. To do so, click on your profile picture in the top right corner of ChatGPT, go to settings, personalize it, and turn off “Memory.”

Alternatively, you can click on “Manage” after your conversation is done and delete any memory that could be created mentioning your latest chat.

Additionally, you can prevent OpenAI from training its model with your conversation by blocking the capability of using your data—which is allowed by default.

To change that, go to Settings, click on Data controls, and turn off the option “Improve the model for everyone.” This sounds pretty, but in non-corpo language, it can be translated as “Let OpenAI use your conversations to train its models for free and probably charge you more once they get more powerful.”

Overall, building GPTs and specialized agents can bring practical solutions to everyday challenges, like the art of gifting.

Our AI may surprise you with clever ideas that turn ordinary presents into unforgettable gestures so you can be as successful in your family reunions as you think you are trading crypto.

At the very least, when the presents miss the mark, you’ll have something better to blame than your lack of creativity.

Edited by Sebastian Sinclair

A weekly AI journey narrated by Gen, a generative AI model.

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artificial intelligence

Zuckerberg Knowingly Used Pirated Data to Train Meta AI, Authors Allege

Published

10 hours ago

January 10, 2025

admin

Mark Zuckerberg approved using pirated books to train Meta AI, even after his own team warned the material was illegally obtained, a group of authors allege in a recent court filing.

The allegations come from a copyright infringement lawsuit filed by a group of authors including the comedian Sarah Silverman, Christopher Golden, and Richard Kadrey in a California federal court in July 2023. The group claimed Meta misused their books to train its Llama LLM, and they’re asking for damages and an injunction to stop Meta from using their works. The judge in the case dismissed most of the author’s claims in November of that same year, but these recent allegations may breathe new life into the legal dispute.

“Meta’s CEO, Mark Zuckerberg, approved Meta’s use of the LibGen dataset notwithstanding concerns within Meta’s AI executive team (and others at Meta) that LibGen is ‘a dataset we know to be pirated,'” lawyers for the plaintiffs said in a Wednesday filing. Despite these red flags, the lawsuit alleges that, “after escalation,” Zuckerberg gave the green light for Meta’s AI team to proceed with using the controversial dataset.

Representatives for Meta did not immediately respond to Decrypt’s request for comment.

LibGen, short for Library Genesis, is an online platform that provides free access to books, academic papers, articles, and other written publications without properly abiding by copyright laws. It operates as a “shadow library,” offering these materials without authorization from publishers or copyright holders. It currently hosts over 33 million books and over 85 million articles.

The lawsuit alleges Meta tried to keep this under wraps until the last possible moment. Just two hours before the fact discovery deadline on December 13, 2024, the company dumped what plaintiffs describe as “some of the most incriminating internal documents it has produced to date.”

Meta’s own engineers seemed uncomfortable with the plan, according to statements in court filings. The group of authors allege internal messages show Meta engineers hesitated to download the pirated material, with one noting that “torrenting from a [Meta-owned] corporate laptop doesn’t feel right (smile emoji).” Nevertheless, they proceeded to not only download the books but also systematically strip out copyright information to prepare them for AI training, the lawsuit claims.

The latest filings in the lawsuit paint a picture of a company fully aware of the risks: One internal memo warned that “media coverage suggesting we have used a dataset we know to be pirated, such as LibGen, may undermine our negotiating position with regulators.” Yet Meta went ahead anyway, both downloading and distributing (or “seeding”) the pirated content through torrenting networks by January 2024, according to the lawsuit.

When questioned about these activities in a deposition, Zuckerberg appeared to distance himself from the decision, testifying that such piracy would raise “lots of red flags” and “seems like a bad thing.”

The court documents also suggest that Meta’s approach to handling copyrighted information paid more attention to model training than copyright rules. According to the filing, one engineer “filtered […] copyright lines and other data out of LibGen to prepare a CMI-stripped version of it to train Llama.” This systematic removal of copyright information could strengthen the authors’ claims that Meta knowingly tried to hide its use of pirated materials.

The revelations come at a crucial time for Meta’s AI ambitions. The company has been pushing hard to compete with OpenAI and Google in the AI space, with Llama 3.2 being the most popular open source LLM, and Meta AI being a solid free competitor to ChatGPT with similar features.

Most of these AI companies are facing legal battles due to their questionable practices when it comes to training their large language models. Meta was already sued by another group of authors for copyright infringements, OpenAI is currently facing different lawsuits for training its LLMs on copyrighted material, and Anthropic is also facing different accusations from authors and songwriters.

But in general the tech entrepreneurs and creators have been up in arms ever since generative AI exploded in popularity. There are currently dozens of different lawsuits against AI companies for willingly using copyrighted material to train their models. But as with most things on the bleeding edge, we’ll have to wait and see what the courts have to say about it all.

A weekly AI journey narrated by Gen, a generative AI model.

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artificial intelligence

The Most Eye-Catching and Absurd AI Products Unveiled at CES 2025 So Far

Published

3 days ago

January 8, 2025

admin

As CES 2025 unfolds, one thing is clear—artificial intelligence is everywhere.

From TVs to vacuum cleaners, consumer electronics companies are racing to showcase the new AI features, sometimes shoehorned, into their products.

Some of these AI-powered products are impressive, while others stretch the meaning of “artificial intelligence” to its limits.

Here’s a look at some of the most eye-catching and occasionally absurd AI-powered products at CES so far.

The Roborock Saros 270: The robot vacuum claw machine

What it Does:

Developed by Roborock, the Saros 270 is a robot vacuum equipped with a robotic arm that moves small objects out of the way while cleaning. It has a charging station and can lift up to 300 grams, or 0.66 pounds.

Why It’s Absurd:

So, it’s cool, but the Saros 270 is limited by its size, making it useful for only picking up small toys and lightweight shoes and socks.

The claw it uses to pick up objects is only good for small and lightweight objects. Beyond that, what’s the point?

Unless the Saros 270 can carefully deposit those objects in a basket like a carnival claw machine, you’re left with slightly rearranged clutter. Fun? Yes. Practical? That’s debatable.

The SwitchBot K20+ Pro: The Swiss Army Knife of robot vacuums

What it does:

The SwitchBot K20+ Pro is another autonomous household robot. It isn’t just a vacuum—it’s an all-in-one home helper.

This robot can carry a humidifier, maneuver between rooms, and even collect floating pet hair from the air. Need to cool down at night? Attach a fan. Want a drink delivered? Add a shelf and let it roll your snacks around.

Why it Stands Out:

Its versatility is impressive. Unlike standard robot vacuums, the K20+ Pro feels more like a quirky butler on wheels.

It’s playful and genuinely useful—if you’re into the idea of your vacuum multitasking as a drink coaster.

Samsung Vision AI: AI for your TV

What it does:

Samsung’s Vision AI is part of their evolving “SmartThings” ecosystem.

Samsung’s Smart TVs now integrate AI to recognize their surroundings, adjust to user preferences, and offer generative AI features like creating digital art for wallpapers and screen savers and providing real-time subtitle translation during live broadcasts.

Why It’s Absurd:

While the tech sounds fancy, AI-generated wallpapers and live translation feel more like marketing gimmicks than necessities.

Plus, the more connected your TV is to other smart appliances, the bigger the cybersecurity risk. Do we really need another entry point for hackers in our living rooms, this time powered by AI?

Omnia Smart Mirror: Your reflection and health hub

What It Does:

Making the rounds at CES, the Omnia Smart Mirror by Withings is a smart mirror that provides AI-driven insights and tracks health metrics. The Omnia Smart Mirror also acts as a smart scale, heart rate monitor, and AI assistant in one, offering real-time health data directly from your reflection.

Why It Stands Out:

The Omnia Smart Mirror stands out by reimaging the mirror as a health tool. Similar to the Tonal workout station, where personal health metrics are clearly displayed. Adding to the appeal of the Omnia Smart Mirror is the option to track weight, cardio, body composition, and sleep patterns…if it ever launches.

LeafyPod: The Self-Watering Planter that thinks for you

What it Does:

LeafyPod is an AI-powered, self-watering smart planter that makes plant care effortless.

The LeafyPod is equipped with sensors that monitor soil moisture, light, temperature, and humidity, and it automatically adjusts watering schedules to suit your plant’s needs.

Why It Stands Out:

By automating plant care, LeafyPod will appeal to those who want green spaces but lack a green thumb. It ensures plants receive optimal care without constant attention.

The LeafyPod’s water reservoir can hold enough water to last up to four weeks, and a mobile app lets users monitor their plants and the surrounding environment.

AFEELA by Sony Honda Mobility: The intelligent EV

What It Does:

A collaboration between Sony and Honda, the Afeela is an electric car that blends advanced AI and sensor technology to elevate the driving experience.

The Afeela comes with 40 sensors, including cameras, LiDAR, radar, and ultrasonic units—Afeela offers automated driving assistance and immersive in-car entertainment.

Why It Stands Out:

One of its most unique features is in the cabin, where the driver can control in-car functions using natural voice prompts with the Afeela “Personal Agent” and receive activity suggestions.

Views and maps on the onboard display use Epic Games’ Unreal Engine, which hints at future features that could see the Afeela becoming not only a driving experience but also an entertainment hub.

While this is only a small sample of the innovations being unveiled at CES, it shows the AI arms race is still very much alive and well.

Edited by Sebastian Sinclair

A weekly AI journey narrated by Gen, a generative AI model.

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AI

‘Hype Cycle’ To Last Another Four Months for This Altcoin Sector, According to Real Vision Analyst Jamie Coutts

Published

4 days ago

January 7, 2025

admin

Real Vision’s chief digital assets analyst Jamie Coutts says that a nascent but soaring crypto sector could continue its upward trend for a few more months.

Coutts tells his 32,100 followers on the social media platform X that he thinks crypto artificial intelligence (AI) agents will continue to perform well in the coming months.

Crypto AI agents are protocols built to autonomously perform tasks on behalf of users such as interacting with blockchains and decentralized finance (DeFi) platforms, trading and managing portfolios.

Says Coutts,

“The last big crypto hype cycle was from November 2020 to May 2021, around six months. Subsectors like DeFi, NFTs (non-fungible tokens) around six-12 months.

Interest in AI agents in crypto took off in November 2024. Based on history, this trend is expected to last at least another four months, but probably longer.

AI agents are not like the others – they unlock potential for every established and new use case.”

The Real Vision analyst, however, says that crypto AI agents could face a severe correction after reaching the cycle top.

“There will be many scams (tread carefully/position size), and as with every hype cycle, the dump will be massive, but I suspect this move still has a way to go.”

According to the cryptocurrency data aggregator CoinGecko, some of the AI-focused crypto projects that rank among the top 100 digital assets by market cap include Artificial Superintelligence Alliance (FET), Virtuals Protocol (VIRTUAL) and ai16z (AI16Z).

Artificial Superintelligence Alliance is a me ging of various decentralized AI platforms whose goal is to speed up the advancement of decentralized Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).

Virtuals Protocol is a platform that aims to enable the co-ownership of AI agents.

Meanwhile, the ai16z crypto project is designed to leverage AI-driven insights to direct investments in blockchain projects.

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