Surprisingly, there are still few real-world applications of AI in life and business.
Or am i wrong?
Surprisingly, there are still few real-world applications of AI in life and business.
Or am i wrong?
I use it every day in one form or another. Gemini, GPT , Stable Diffusion, etc.
I code with GPT4, I was an early tester on ChatGPT-4 and since then I didnāt go back even once to writing boilerplate code and never will. So now I do manual work only on the difficult, exciting, and complex problems which is what I enjoy the most. It helped me a lot with ADHD as well, as writing boring code used to ruin my focus / flow completely, now I just shoot it at ChatGPT and done. The only problem I ran into 2-3 months in was me getting lazy occasionally and wasting hours asking it to do a specific thing that it couldnāt do, and I couldāve easily written it in 10 minutesā¦ I eventually learned to avoid this trap:)
Ok, there are my use cases:
Since Microsoft Copilot come, im almost stop using Google (even i though there are cases when Google is very useful, using MC is much faster) Im also using Gemini. It can solve a lot of problems for meā¦
Coding. Im using GPT-4 to write a code a lot. I still have to do a lot of coding work, but with GPT-4 its MUCH more effective and faster.
Writing a texts for websites and social platforms. I still have to do a lot of work here (basically currate), but since you can fed assistant with a lot of source/inspiration text, its much more effective.
Brainstorming ideas
Image creations/Video creations
IMHO, thereās a lot of AI already deployed, but thereās also a long way to go. Development and commercialisation takes time, we could continue for decades deploying just the tech we have today - forget AGI or any future advances!
Coding and writing: I use Copilot autocomplete in VSCode on a daily basis. Itās amazing, even in plain text. Other Copilot features less so, I find them a bit hit-and-miss, so I supplement with ChatGPT.
Research: Iām eager to use Perplexity more in my research, when Iām looking for reference data or information that needs citation.
Learning new fields: I turn to GPT4 when I need to quickly get up to speed on a field. For example, if I need to support a pipe at 1200Ā°C somehow, ChatGPT tells me Iām looking for a āsilicon nitride bearingā. Or, when Iām researching a new industrial process, GPT4 can tell me the basic principles and history to get me started.
Data Analytics: GPT4 + Code Interpreter can do pretty much anything here. āDraw me a graph of X, rescale it, overlay Y, fit it to a curveā¦ā - anything Excel or a Jupyter notebook can do, ChatGPT can do (slightly more error-prone but much quicker and easier!)
This discussion is incredibly pertinent and one of the main reasons I was drawn to Wes Rothās YouTube channel and subsequently to this forum. My journey into the AI domain has been fueled by a desire to unearth practical applications of AI in business and evaluate how they can be implemented effectively. Despite the expanding landscape of AI, much of what Iāve encountered feels like a repackaging of existing models, reminiscent of the app storeās redundancy.
Within the film industry, where I spend a significant portion of my career, there are intriguing instances of AI use, such as the application of tools like Scriptbook and Cinelytic for script analysis and financial forecasting. Surprisingly, these innovations seem to fly under the radar, with few in the industry aware of their existence or potential.
The real estate sector and syndication business, where I also engage, present a different set of challenges and opportunities for AI integration. While some property management systems employ AI, their applications feel rudimentary and donāt significantly enhance market analysis, underwriting, or deal flow processes. This gap is equally evident in CRM systems within the syndication space.
My exploration of AI extends beyond these industries. I am currently leveraging ChatGPT for proofreading and structuring a book Iām writing. Without any prior coding experience, Iāve delved into coding through ChatGPT and experimented with photo recognition tasks, such as identifying specific objects within images.
Additionally, Iāve utilized Runway 2 and Lumen 5 for creating Standard Operating Procedure videos and found OtterAI invaluable for transcribing Zoom meetings. One of my goals is to discover AI tools capable of conducting blueprint analysis for construction projects, including cost and labor estimates within specified time frames, which is crucial for my role in film set construction budgeting and management.
Perhaps my challenges in finding more impactful AI applications are due to looking in the wrong places or a misunderstanding of the current AI landscape. Nevertheless, the journey continues, and I remain hopeful for breakthroughs that can transform these sectors.
Aggregate relevant statistical information to form an informed decision (I highly recommend Perplexity|Opus for this).
Brainstorm ideas: Explain the context to GPT-4 and request a list of seven ideas. Some of them will likely be excellent.
Tone adjustment and grammar correction for emails/presentations - As a non-native English speaker, I find GPT-4 to be an order of magnitude better than Grammarly
Translation: GPT-4 is an order of magnitude better than Google Translate. When comparing the results of the translations to assessments by native speakers, most did not recognize that it was AI-generated.
Overcoming writerās block in academic writing: Many researchers, myself included, find it difficult to start writing a complex article or review. Explaining the context to GPT-4 and providing it with several other article PDFs from your lab can produce an excellent skeleton to start writing from. I cannot emphasize enough how much this helps those with a tendency to procrastinate.
Learning new topics by generating AI mind maps, using Whimsical diagrams, for example. I used to make these manually years ago - a very effective technique but time-consuming. Now, I can produce these in a fraction of the time, significantly enhancing my learning speed.
Describing health symptoms to GPT-4 to get an educated opinion on whether you should be concerned, and if so, what kind of specialist you should consult. Very helpful for a casual first assessment.
If you aspire to be an investor but lack a business background, feeding GPT-4 the earnings reports PDFs of prospective companies can provide a decent value analysis of the stock, offering insights about growth and risks for the business.
Obtaining fair and educated price estimations for different gig works.