Reuters had an obscure story today about OpenAI’s Project Strawberrry. The details are vague, but basically, they are saying that ChatGPT is now able to search the web and try to infer what is important to research. It’s hard to tell what this means for the A.I. world with just a brief release. What it does mean, however, is that the pace of innovation is increasing, the bots are building themselves new projects, and it’s a brave new world – for real.
This cartoon totally sums up what is happening in regard to human-robot interaction.
Leave it to Apple to coin its own term. Apple Intelligence was announced in June 2024 at the Annual I/O Conference. As the A.I. race heats up, it’s interesting to note that Apple has teamed up with ChatGPT.
Remember, ChatGPT is actually Microsoft.
What is Apple Intelligence? At time of writing this, it seems like Apple Intelligence is:
1. ChatGPT integrated into certain iOS 18+ tools
2. An extension of Siri that will improve natural language processing
3. Generative AI for Emojis
4. Help creating content and writing emails
Copilot estimates that Apple now has 60% of the mobile device market, and to block Google data on these devices is very problematic for Google.
This of course is all very interesting because it’s Apple. They are seemingly taking a cautious approach to A.I. and that is probably smart. What hasn’t been mentioned by Google or Apple in their annual Keynote and Developer Conferences: The fact that Apple is blocking Google’s data.
When a user surfs the web on an Apple device, Google loses track of them essentially.
This isn’t being talked about, but has massive implications, far beyond any ChatGPT integration. This race is about Data.
Furthermore, anyone can partner with ChatGPT. As a developer, you can build applications on their A.I. models. So far there have been impressive advancements in Generative A.I. but we’re left a little confused and underwhelmed about how any company has an advantage over OpenAI, and what is the validity of building commercial products on a model that anyone can use?
Stay tuned, the rest of 2024 and into 2025 will be interesting and exciting.
Sept 2024 Update: iPhone 16 is Released – How to Use Apple Intelligence
Google’s 1P (First-Party) Data refers to data that is collected directly by Google from its own users through its various services and products, such as Search, YouTube, Gmail, Google Maps, and Android devices. This data is invaluable for improving Google’s products and services, personalizing user experiences, and developing new technologies, including advancements in artificial intelligence (A.I.) and machine learning. Here’s how Google utilizes its 1P Data:
While leveraging 1P Data, Google emphasizes the importance of user privacy and data security. Some key measures include:
Google’s use of 1P Data is central to its operations, enabling it to enhance product functionality, develop advanced A.I. technologies, and provide personalized user experiences. By carefully balancing innovation with privacy considerations, Google aims to maintain user trust while leveraging its data assets to drive technological progress.
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write it so I can’t tell it’s a computerChatGPT
Google’s first-party (1P) data refers to the information it collects directly from users through its various services and products, such as Search, YouTube, Gmail, Google Maps, and Android devices. This data plays a crucial role in improving Google’s products and services, personalizing user experiences, and driving advancements in artificial intelligence (A.I.) and machine learning. Here’s a closer look at how Google utilizes its 1P data.
While leveraging 1P data, Google places a strong emphasis on user privacy and data security. Here are some key measures they take:
Google’s use of first-party data is central to its mission of improving its products and services, advancing A.I. research, and providing personalized user experiences. By carefully balancing innovation with privacy considerations, Google aims to maintain user trust while leveraging its data to drive technological progress.
What does it even mean to win? With major competitors building and buying nuclear power plants to accommodate for the energy required to run AGI, it will be interesting to see who wins.
As we inch closer to the possibility of Artificial General Intelligence (AGI), several pioneering companies are at the forefront of this groundbreaking research. AGI represents a significant leap from narrow A.I., offering systems capable of understanding, learning, and applying knowledge across diverse tasks at a human level. Here’s a look at the main contenders in the AGI race, along with their unique challenges and advantages.
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The race toward AGI is not merely a technological pursuit but a mission to ensure these advancements are developed and deployed responsibly. Each of these companies brings unique strengths to the table, along with significant challenges that need to be navigated carefully. As we move closer to the possibility of AGI, it will be fascinating to see how these industry leaders address these challenges and harness their advantages to potentially change the world.
If you’ve heard of the Santa Fe Institute – a think tank founded by scientists seeking a way to explore their research outside of the bounds of normal structures – you may have heard about Complexity.
Search is the ultimate complex system that is probably impacting you and or organization right now. Since the beginning of Internet Time, computers have been indexing and ranking websites. Systems like search engines use signals, combined with the content and meta content within your website, to determine if your website or content is the best search result.
The impacts can make or break a business as it moves in and out of a popular search category.
But what are the elements of this system? How can you impact your own search results?
1. Other websites referencing you. For example, if I wanted to get this website to rank well for restaurant hood cleaning, the anchor link used signals to search engines that this website (robauto.ai) found the content important enough to link back to it.
2. Site speed. Particularly Google wants to serve fast, mobile friendly websites.
3. Community support. This is where your social media comes in. Even if your posts don’t get a lot of interaction, people liking and commenting around a URL is just another signal you are sending.
Today’s advertisers need to understand A.I. One aspect of that that impacts most businesess – Google Search. Here is a quick guide for an advanced “signal” you can send to Google. Google tracks calls and web forms (conversion events) on your websites naturally. However what about qualified leads or ‘closed won’. The Google Robots need to learn about those (most importantly).
Please note that these steps are a general guideline, and the user interface and features within Google Ads may have changed.
I was fortunate to have spent quite a few years working with data and robotics. I didn’t really choose the field, it chose me. One of the highlights of my career was going through a McDonald’s drive thru with 3 of our BiBlI robots strapped in the backseat. When I got to the window I asked them if they wanted anything which caused the McDonald’s staff to laugh.
I didn’t realize at the time that I was learning a valuable skill – how to talk to robots.
Not for real as in how to take their burger order – although voice is a facinating aspect of machine learning and robotics – but more how to interface.
Robots need data and they still need our help to set context and guide them. We’ve seen that recently with the sudden explosion of ChatGPT powered A.I. startups and ‘experts’ who simply have interfaced well with the underlying Artificial Intelligence.
A.I. headlines this morning (January 24, 2024) talk about tech companies laying off staff. This is just the beginning! If your role is only pushing buttons, pulling levers, compiling data – or even writing code or blog posts like this – you need to upskill quickly.
From January 2024 to January 2025 the acceleration of A.I. in our society will explode. Most of it will be good, but newfound efficiencies in business and production of any kind are coming. Get ready!
The St. Vrain Valley School District is located in Longmont, Colorado. It has developed an amazingly good STEM program under the leadership of a talented group of educators.
They’ve built an impressive facility called the Innovation Center in Longmont which provides regular classes for high school students in the district. Topics include Artificial Intelligence, robotics, cyber security, video and audio production, 3D printing and more.
The program also employs students in the actual management and running of various aspects of the Center as well as real community projects.
They have some great information, including how to book a tour and a video overview here.
The JASPER project was an early voice project that is great for understanding the basics of how a voice ‘engine’ works.
If you are truly interested in learning about A.I. and for example understand Python packages, installing this on a Raspberry Pi is a useful exercise and fun way to make some voice driven automation in your home or office.
Why is this useful for learning A.I.?
Drill in on the Voice-to-text engines and how they are working. Notice how you can ‘tune them’. You don’t’ even need to totally understand what is happening, but this is a great way to dig in on a weekend and start to see how these ‘engines’ work. We really enjoyed playing with Carnegie Mellon’s Pocketsphinx.
