Created An App And Other AI Uses This Week

I have been using AI for more than a year. Like most, I did not touch ChatGPT for the first six months or so and I only tired it because I was bored at the time. I still remember what I was doing that day and decided to give it a try while at work. 

It took a few more weeks for me to give it another go. And then the days between uses became shorter and shorter until now when I use it daily. 

The most exciting thing I did this week was to create an app via Claude AI - it was a simple Swift app that I wanted to work - a list generator. Then I used Gemini to help me get started with Pandas and create a simple neuron (I know there is a bias) looks like and what it does.

For a few hours of prompting and learning to run these codes, I would say I knew about ten times more about data analysis and AI than when I first started. Which means nothing really because I knew nothing about this from at the start of it all.

Here are other uses this week:

• I asked about what my credit score means.
• I asked for other coupon codes that are available for savings whenever the Dodgers win. In LA at least, you can get a free Whopper with the purchase of a large drink after a Dodgers Win. Panda Express as well. It is still early in the season but I think I’ve had more two-items plates in 2025 than all of 2024.
• I asked what a magnetar is. And with a magnetic fields trillions of times stronger than those on Earth, you do not want to go near one. So yeah, shields up!
• Most people are not aware of Liberation Day and Trump’s “beautiful” reciprocal tariffs. I am in favor of reshoring certain manufacturing. Chips, computers, and other critical electronics. Items that are vital to national security. But do we need even one sock factory? 
• On a related note, I ask Gemini to explain to me what the bond market is and its purpose.
• We had an online hobby of selling products but with the tariffs, we decided we do not want to do that anymore and solicited suggestions on possible pivots for our online business. 
• My nephew is going to college and we have decided to get him a new laptop. Gemini and Copilot were helpful in provide specs and models that will help him get through college - 4K video editing, coding, machine learning, and, of course, gaming.
• Learning Japanese - I write a short passage or two each day in Japanese and while translation apps a re fine, they do not come close to what AI is able to help me with. Claude was very helpful with explanation of what a native Japanese person would say. And that is what I want. Unfortunately, I ran out of the free allotment really so I switched to Gemini when that happens. I also do cross checks in just case given that they still hallucinate or misunderstand what I ask of it. 
• Most of Apple V. Masimo’s case over blood oxygen monitor is more than a year old and I really want that feature back. Co-PIlot and Gemini provided some information about the appeal process initiated by Apple. It usually takes a year so perhaps we are weeks from an answer. 
• Use ChatGPT to create a few Ghibili style artwork with my photos. It made my dog just so darn cute and my wife looking far younger and me like her grandfather.

I also used ChatGPT and Gemini as a sounding board for some ideas on a “hobby” my wife and I have been working on the last few years. It’s a business and we decided to continue the hobby but pivot to something that involves content generation with the help with AI. 

We plan on spending more time on it this weekend and I cannot be more excited. 

Apple, Be Courageous With Apple Intellgence

For too long, Apple has played it safe in the AI arena. While competitors are pushing boundaries through models like ChatGPT and Google’s latest AI initiatives, Apple seems paralyzed by a need for perfection. Its current route—delaying meaningful AI integrations until mid-2026 and rolling out a supposedly innocuous, underwhelming version of Siri—risks becoming another case of missed opportunity.

Apple’s customers have come to expect more—more innovation, more seamless integration, and more leadership in technology. The lawsuit over Siri’s alleged false advertising is just the tip of the iceberg. We are witnessing a stagnation, a collective yawn towards Apple’s future AI offerings.

It’s time for Apple to reclaim its legacy. What if Apple released its own large language model—an AI crafted with its renowned commitment to privacy and user experience? Imagine a smart, agentic digital assistant that not only answers queries but integrates deeply with Apple’s ecosystem. Instead of outsourcing its intelligence to third-party providers, Apple could take full control, ensuring consistency, reliability, and a groundbreaking user experience that sets it apart.

At this pivotal moment in tech history, Apple must embrace boldness over perfection. Even if the initial release isn’t flawless, early adoption will allow for rapid iterative improvements—much like how its groundbreaking products have always evolved. With WWDC on the horizon, one can only hope to see the seeds of this revolution sprout in an iOS update sooner rather than later.

Is Signal More Secured Than iMessages?

I have heard that apps like Signal and Keybase are among the most secured messaging apps annually on the Android and iPhones. With privacy along Apple’s top selling points for users to pick its platforms over the Androids and Windows computers, why is it that its own messaging app Messages the most secured?

To date, neither messaging apps have had their encryption protocols breached. At least that is what Gemini have told me and what research I conducted on my own. This is good. However, as many of you already know, a few top Trump officials were caught using Signal discussing top secret war plans. From what I can gather, it should not have been shared with anyone and was likely safe if it was not for the fact a journalist was accidentally added to the chat that was supposed to be between the Vice-President of the United States and other top national security and state officials. Included by accident was an Atlantic journalist. So, that is not so good.

The question I have is that with privacy as one of Apple’s main selling points, why is iMessage not as secured at Signal. The answer depends on where you fall on this issue. Apple’s iMessage is very secured. Probably just as secured as Signal if not more so.

Apple secured iMessage with P3Q, a quantum level security for messaging. According to Apple, “Today we are announcing the most significant cryptographic security upgrade in iMessage history with the introduction of PQ3, a groundbreaking post-quantum cryptographic protocol that advances the state of the art of end-to-end secure messaging. With compromise-resilient encryption and extensive defenses against even highly sophisticated quantum attacks, PQ3 is the first messaging protocol to reach what we call Level 3 security — providing protocol protections that surpass those in all other widely deployed messaging apps. To our knowledge, PQ3 has the strongest security properties of any at-scale messaging protocol in the world.

In theory, iMessage should be the most secured messaging app in the world. However, Signal is considered to be more secured because it is open source platform and has its own quantum encryption. In fact, Signal beat iMessage to future proof encryption against the non-existent quantum computer. No one know when a working quantum computer will be deployed by bad actors for the purpose of breaking messaging encryptions regardless if whether it is iMessage or Signal. 

One other thing to consider is that Apple backs up user messages onto the iCloud while Signal does not. Apple’s iMessage also provide time stamps which Signal does not, which could potentially be a privacy issue.

In choosing between the two messaging platforms, it is a matter of preference and convenience. I use iMessages for 90% of all my messaging needs and I’m happy with it. I used Signal with a friend who has since jumped over the iMessages for sheer convenience. If more of my contacts switch switches over to signal or another platform one day, I will likely follow as well, That is not likely to happen as most of my contacts love their blue bubbles.And as far as security, I am comfortable with the level of security Apple provides for iMessages. And if any bad actor or North Korean hacker target me for whatever reason, they will get a secret trove of Ghiblitized photos of our puppy.

What I would like to know how just much more secured and hardened are systems and devices approved for national security uses are compared to iMessages and Signal. 

AI Buddies Because Agents Are Too Formal (and Intimidating)

AI agents are poised to revolutionize how we interact with technology. Imagine AI as a helpful assistant, integrated into apps and features, that proactively aids us in work, school, and daily life. These "agentic AI" are designed to be autonomous, making decisions to achieve specific goals without constant human input.

Apple users with devices supporting Apple Intelligence will get a taste of this with the iOS 18.4 update, which promises a significantly enhanced Siri. This updated Siri will represent an early step towards agentic AI.

AI and I - What I used AI for This Week

Last Week was a busy week in terms of AI news due to Deepseek. Since last Monday, January 27th,  the AI landscape has changed quite a lot. Still life goes on and I do what I have to, including the use of AI chats.

Before I get into that below, I am concerned with the interaction between the new administration and tech companies which could result in AI models and services that do a disservice to users. Let me just leave it at that for now. 

• I used ChatGPT to see what answers it has about Deepseek. I away very interested in trying to see if OpenAI’s true thoughts about it somehow came across. I even pointed out that Deepseek distilled using ChatGPT. I got nothing new. I basically suggest to ChatGPT that is should be upset. It was not - it did have concerns but then it also praised Deepseek on its overall achievements. 
• I also asked Gemini what it thought about Deepseek and the possibility that it used ChatGPT for distillations and not Gemini. Gemini said it was a matter of avail, cost, and performance for specific tasks. 
• I used Copilot to help identify trends with some Excel data. It was limiting and frustration. I could only provide a small set of data from a big Excel file. I did not have the version of Office 365 that has Copilot built into Excel. I started looking into if there are open source models that are trained specifically for data analysis. Gemini suggestions that are not any but it did suggest Llama 2 for my needs.
• I asked Copilot the same question and it suggested BERT (Bidirectional Encoder Representations from Transformers) and GPT-3 from OpenAI. I will need to do some additional research find one that suits my needs.
• Gemini suggested that I try to run an LLM on Colab. I read that it was being done. I suppose it is a better way before doing it locally on my MacBook Air. 
• Who are the Yuuzhan Vong? Copilot told me and which Star Wars novels to read about them.
• What is a nautical mile? What about a knot? I learned it a long time ago in high school and got a refresher on Startalk but I used Copilot to give me a refresher. 
• Eratosthenes was the first to ever measure the circumference of the planet we called home. How he did it was simple but showed how far ahead he was of everyone else. ChatGPT and a model used by Duckduckgo confirmed it.

One other note about using AI this week: on occasion, I had to verify the facts provided. I think I will continue to have to do this for a while. In the beginning, my worries was all about possible hallucinations. Given the times we live in, fact checking is a fact of life. It is no different when using an AI chat to obtain the answers we need.

Workflow With the Original iPad And iPads From Today

I am in the market for a new iPad but I have not quite gotten myself to pull the trigger on a new one because I simply have not decided what my workflow will be like. Simply put, I am still fine with my 2019 iPad mini though I do need something bigger when I eventually upgrade. So, I have been thinking long and hard about my workflow and, naturally, became a bit nostalgic to the day when I first got my original iPad. 

If you compare the original iPad to today’s iPads, it is natural to note how far we have come since 2010. In many ways, too many to mention here, we have come a long way. I definitely could not have used the original iPad as a laptop replacement as many have done today. One thing that the original iPad had that many of today’s iPads do not have is its simplicity - its ability to offer a distraction free environment. 

Personally, this is an important element of all of my workflows. In the early days, it was easy to stay focused on what you were doing on the iPad because the OS was a lot simpler and apps were a lot limited. There is an argument say that the original iPad was more for content consumption rather than for productivity. I agree all iPads are great for reading and watching videos but the original iPad worked well for tasks like emailing and writing. In terms of generating text content, the lack of distraction made it just as good as a tool for writing as any iPads today, possibly better because it was just the email and notes apps. 

With iPads today, there are different focus modes, apps that offer more features, and have completely replaced laptops for some users. You can do a lot more with an iPad which means that you end up spending more time doing other things like content management whereas with the original iPad, you just write and deal with the content  elsewhere like on the Mac.

And I do want Apple to add more software and hardware features to the iPad. But it is entirely up to the user to decide how to create a workflow that best suit them to take advantage of one of the versatile computing platform ever.

Using AI To Make Cotton Candy and Other Uses

I am very comfortable with using ChatGPT, Gemini, and other AI now. I still use search engines through my work day - DucDuckGo is my go-to search engine with Google coming in next if I do not find what I want o DuckDuckGo. There is a difference between what I use AI for and what search engines for. 

While both AI and search can provide answers I want, they each serve a role that is more suited for one than the other. AI chats can provide most answers, which do require that I fact-check it. For queries that require fact-checking, I go straight to to the search engines. For others, AI chats are fine. This is especially true when I am looking for basic understanding of things like “which is the first book of the Pdergast series” or how do I find a consultant in Asia who is familiar with Oracle for customization.

So, this is what I have used AI chats for this week:

• I got a composter for my kitchen. I came across a video on the Internet of someone making cotton candy. So I use Gemini to find out how cotton candies are made and at what temperature. Apparently, my composter does heat up the stuff I put inside it but it is no where near hot enough. And probably not a good idea anyway.
• I was tasked to find an Oracle consultant in Asia who could help us with customization from time to time. I have no idea where to start so I asked a friend who asked ChatGPT. I did it as well but I thad hoped my software engineer friend might know one or two
• I started a YouTube channel for my dog. Since my puppy is a lot cuter than I am, I thought I would exploit her cuteness and the forever puppy look. I then asked Gemini, ChatGPT, and Claude how I can turn this into a million dollar business. The results were sensible. I will be giving what they suggest a try. Forgetting the money, there are a lot of suggestions like animation that require me to learn new skills. That is what I am most excited about.
• I asked ChatGPT why my pancakes never come out the same and why my waffles turn out bad half the time. I suspect that heat has something to do with it. And how thick the batter is. And how long I cook it. Turned out that I was right. I just need to keep at it and eventually i will get it right.
• I wanted to write an app based on suggestions I read recently in books and from YouTube. I asked for suggestions on features that I should include in version 1.0. 
• I recently read about algorithms that are based on quantum principles that would run on traditional PC because quantum computers are not available yet. I wanted to know if they actually help and run fast enough on traditional CPU. According to Gemini, yes…in theory. Copilot said the same thing but I think my question was not phrased correctly. So I rephrased to “will algorithms based on quantum principles that are written to run on traditional CPU be of any benefit compared to regular algorithms. This time, the answer is no. Is this true? I honestly do not know.
• I had Copilot rewrite some of my emails and perform translations. I do find AI-based translations better than Google Translate. It is more accurate? When needed, I use AI based translations and Google Translate. The mean from both are pretty much the same though I feel AI results seem easier to understand.
• Looked for a farm in Los Angeles where I can take our dog to see if she is into bearding. It was a fail with both Copilot and Gemini. I know Copilot is based on ChatGPT but for some reason, ChatGPT gave me the best answer.
• I searched some literary terms like “knight errant”. Copilot did well enough. 

I continue to use both ChatGPT and Claude on a daily basis to help me develop a YouTube channel I started about two weeks ago for our dog. This weekend, I am considering using one of these AI to help me write a simple app to test how well the Playgrounds app can handle coding on the iPad.