2023 AI vs Human?

2023 AI vs Human?

We recently had an article written on Bike Rumour.  The article was written by Jessie-May.  She is a bike journalist and contacted me for an interview after meeting one of my customers riding the Tweedlove Enduro Series in Scotland.  You can read the full article here.


This was a nice real experience sharing my thoughts on bike design, but also you could tell Jessie-May had a passion for cycling and took the time to reach out after the meeting and racing at Tweedlove. 

If you have been following Olsen Bike blogs for a while, you will know that I have been following technologies for a while. Especially technologies relating to cycling.  In 2013 I explored 3D printing to create bicycle lugs.  I have written blogs about self-driving cars and what that would mean for cycling. 

The following article has been completely written by AI chat bots. Partly to help me write blogs - but also to test the technology, to see how accurate AI really is?

We also took my daughters “Space Cats vs Alien” drawing and got AI to recreate it.  I also asked it a series of questions to see if AI is ready to take my job.  AND we also got AI to design some bikes for the OLSEN brand.

Why do creative people do creative jobs?

Creative people are often drawn to creative jobs because they are able to express their creative vision and make an impact on the world in ways that are meaningful and rewarding to them. Creative people often see creative work as a way to make a living while doing something they truly enjoy. Additionally, creative work can be very fulfilling, as it often involves problem-solving and pushing the boundaries of innovation.

Notes: Okay, I agree with that.

Will AI replace creative jobs?

No, AI will not replace creative jobs. AI is able to do some things more efficiently than humans, but it is not capable of the same level of creativity that humans are capable of. Humans will always possess the unique ability to create something completely new and original.

Will AI replace engineering jobs?

No. AI is used to augment and enhance engineering jobs, not replace them. AI-driven automation will likely replace some routine engineering tasks, but AI will never replace the creativity, technical skills, and problem-solving abilities that engineers bring to their work.

Notes: Okay, so far so good.

Can AI design a bicycle?

Yes, AI can design a bicycle. AI can be used to generate 3D models of bicycles and optimize the design based on specific criteria. AI can also be used to generate specifications for the type of materials and components that should be used and to suggest new features or design improvements.

Notes: What?  Wait a minute..

Are engineering jobs going to change with AI?

Yes, engineering jobs are likely to change with AI, as the technology advances and becomes more sophisticated. Engineers will need to become more familiar with AI, and learn how to work with it to create new products and systems. Additionally, engineering jobs may become more specialized, as AI is used to automate many of the more mundane engineering tasks.

Are design jobs going to change with AI?

Design jobs are likely to change with advancements in AI technology. AI-driven automation will streamline many of the mundane, time-consuming tasks associated with design work, allowing designers to focus their efforts on more creative, strategic tasks. AI-driven solutions may also enable designers to work more quickly and effectively, thus increasing productivity. Furthermore, AI-driven tools have the potential to provide designers with more in-depth data and insights that can be used to inform their decisions and improve the overall quality of their designs.

Notes: You will notice that changing the word “engineering” to “design” changes the way that AI answers this question.

The below was desinged by AI and supposed to be a Pinion Gearbox Bicycle.  

How can we stop AI taking over creative jobs?

We can use AI to supplement creative jobs rather than replace them. We can also use AI to automate mundane tasks in creative jobs, freeing up more time for creativity. We can also invest in training and education so that creative workers are equipped with the skills they need to stay ahead of the curve and be more competitive in the job market. Finally, we can use regulations and policies to limit the use of AI in creative job roles.

Notes: I don’t completely buy into this and think AI is trying to fob me off…

AI was not constrained by a "design brief" here

What are the mundane parts of a creative job?

  1. Administrative tasks, such as filing paperwork, preparing presentations, and scheduling meetings.
  2. Developing budgets and keeping track of expenses.
  3. Researching and sourcing materials for projects.
  4. Brainstorming ideas and sketching concepts.
  5. Developing and maintaining relationships with clients.
  6. Following up on tasks to ensure deadlines are met.
  7. Proofreading and editing creative work.
  8. Working with other departments to ensure projects are completed on time and within the budget.

Notes: Okay so AI is not really helping in the creative process?

Are there any AI programs that give engineers tools to use with CAD?

Yes, there are several AI-powered CAD tools available that offer engineers additional features and capabilities. These tools typically include features such as automated design optimization, automatic part and assembly design, and natural language processing. Examples of AI-powered CAD tools include Autodesk Fusion 360, Autodesk Inventor, and Siemens NX.

Notes: I have used these and not sure if it is saving me any time – other than being 3D CAD processing time.  CAD skills and CAD drafting is still very important.  I have used 3D CAD over 25 years and have seen it progress to the point where almost anyone without engineering skills can pick it up and “design” something without the knowledge of materials and processes.

What AI functions are used already in CAD programs?

  1. Auto-Completion: CAD programs utilize auto-completion algorithms to help users quickly create and modify objects in 2D and 3D space.
  2. Object Recognition: AI-powered object recognition algorithms help CAD programs to identify shapes and objects within a design, making it easier for designers to manipulate them.
  3. Natural Language Processing: CAD programs can now process natural language commands, allowing users to quickly and accurately create 3D models.
  4. Image Recognition: AI-powered image recognition algorithms help CAD programs to detect and identify objects within an image so they can be accurately recreated in a digital environment.
  5. Autonomous Design: Autonomous design algorithms allow CAD programs to generate designs based on various criteria, such as user input, environmental factors, and desired output.
  6. Generative Design: Generative design algorithms create designs based on a set of parameters, allowing CAD programs to quickly generate complex 3D models.
  7. Adaptive Modeling: Adaptive modeling algorithms enable CAD programs to automatically adjust designs to changing conditions, such as changes in the environment or user requirements.

Notes: Okay again a lot of this is already existing within CAD programs so I do not see any massive advances.

Can I use AI and CAD to design a bike?

Yes, AI and CAD can be used to design a bike. CAD (Computer-Aided Design) software can be used to create virtual models of bike parts, while AI (Artificial Intelligence) can be used to simulate the performance of the bike and suggest ways to improve its design.

Notes: Hmmm this seems to have gone into “tech-splaining” mode here.  I am not sure if it really knows.

How can I use AI and CAD to design a bike?

Using AI and CAD to design a bike is a great way to make sure your bike is designed to fit your exact specifications. With AI and CAD, you can create a virtual 3D model of your bike and use computer-aided design (CAD) software to design every detail, from the frame size and shape to the components and accessories. You can also use AI to create simulations that predict how the bike will perform under different conditions and help you optimize the design. With AI and CAD, you can also create photorealistic renderings of the bike to visualize how it will look in the real world.

How do I use AI and 3D CAD to design a bike?

Using AI and 3D CAD to design a bike requires a multi-step process. First, you need to create a 3D model of the bike using a 3D CAD package such as SolidWorks, Autodesk Inventor, or Fusion 360. This will allow you to create the bike's physical components.

Next, you need to use AI algorithms to optimize the design of the bike. You can do this by using machine learning algorithms to analyze the performance of certain design elements, such as the frame geometry or the wheel size and shape. This will allow you to make an informed decision on which design elements are best for the bike.

Finally, you will need to use simulation software to test the bike's performance. This will enable you to modify the design of the bike to meet certain criteria, such as weight, aerodynamics, and power output.

By using AI and 3D CAD, you can create a bike that has been optimized for performance.

Notes: Okay again lots of tech-splaining here…  Also simulation and rendering software is expensive.  Either is comes with the CAD package or you pay for it later.  Seems like the largest companies are going to control this market.

Write an article on designing a bike without AI.

Designing a bike without AI is a daunting task. It requires a deep understanding of the mechanics and physics of bicycles, as well as an appreciation for the human body and its needs while riding. Here are some tips to help you design a bike without AI.

  1. Start with the Frame: A bike's frame is the foundation of its design. It's essential to consider the material, geometry, and features that will best suit the rider and their needs. Carbon fiber and aluminum are two popular materials for frames, but each has its own advantages and disadvantages. For example, carbon fiber is lightweight and strong, but it can be expensive. Aluminum is less expensive and can be more adjustable, but it is heavier.
  2. Choose Wheels and Tires: The type of wheels and tires you select will affect the bike's performance. Mountain bikes typically have larger wheels and knobby tires for enhanced traction and stability, while road bikes have smaller, slicker tires for speed and acceleration. The size and type of wheels and tires can also affect the bike's weight and comfort.
  3. Consider the Drivetrain: The drivetrain is the system of components that transfer power from the pedals to the wheels. It is comprised of the crankset, chain….(AI stopped)

Write an article on designing a bike with AI

As technology advances, so does the potential for artificial intelligence (AI) to revolutionize the way we design, build, and use bicycles. AI has the potential to unlock a new level of bike design, allowing for greater efficiency, safety and performance.

AI-driven bike design is the future. AI-driven bike design will allow us to customize bikes to the exact specifications of the rider, taking into account things like size, weight, riding style, and terrain. AI can also optimize the bike's frame and components to maximize performance, speed, and agility. AI can even use data from sensors placed on the bike to monitor and adjust components such as shocks, brakes, and gearing to best match the rider's needs.

AI can also be used to improve bike safety. AI-driven bike design can help us identify and address safety hazards before they become an issue. For example, AI can detect signs of wear and tear on the bike, alerting the rider if components need to be replaced or serviced. AI can also be used to identify areas that are prone to accidents, such as blind spots or sharp turns, and suggest ways to reduce the risk of injury.

Notes: Yeah, how did we ever cope with out AI?  It takes years, talent and luck to become a novelist – so why does every former PM choose to write a memoir??  The answer is that former PM’s should stick to running the country instead of thinking this would be great in my memoir… 

What AI is available for "design for manufacture"?

Design for manufacture (DFM) is an engineering practice in which the design of a product takes into consideration the manufacturing processes used to produce it. To help with this process, many companies are now using artificial intelligence (AI) technologies. AI-enabled DFM solutions can help automate the optimization process and identify potential problems with a design before it is sent for production. AI-driven DFM applications can also recommend improvements to a design to make it more cost-effective to produce and/or easier to assemble. Examples of AI-driven DFM solutions include Autodesk Fusion 360, Autodesk PowerMill, and Siemens NX.

Notes: Again tech-splining – DFM is normally considered as part of the design process, between the designer and the production engineers – there are a lot of variables here and I cannot see all machines and processes accounted for.

Wite an article on the pitfalls of using AI to design a bicycle.

As the use of artificial intelligence (AI) technology continues to increase, it has become an increasingly attractive option for designing and building a bicycle. However, despite the potential benefits of using AI to design a bike, there are a number of potential pitfalls that should be considered before taking this approach.

One of the key challenges with using AI to design a bike is that it can be difficult to accurately predict how the bike will perform in real-world conditions. AI algorithms can be highly accurate, but they are based on limited data and are not designed to consider the range of possible conditions that a cyclist might encounter in the real world. This can lead to a bike that is unreliable or inefficient when compared to a traditional design.

Finally, AI systems may not be able to adequately address safety concerns.

Notes: That last sentence “…may not be able to adequately address safety…” is a scary scenario and something that design engineers try to test and evaluate their designs to all the time.  The “pitfalls” question was a good one to conclude on.  Like the chat bot the AI information is only as good as you put in.  No one really knows if they don’t know.