Greetings Thinkers,
This week’s Leadership CONNECT:
- Spark of the week: 🧠 AI Development: A Speed to Reckon With 🚀
- Article: OpenAI Can Now Read your Mac (Source: Techcrunch)
- Conclusion: What is Retrieval-Augmented Generation (RAG) (Source: McKinsey)
- History: The Knowledge Navigator (Source: Apple)
- MindLi: AI MindLi Resources (Source: DigitalRosh)
Happy Thinking,
Dr. Yesha Sivan and the MindLi Team
P.S. Comments, ideas, feedback? Send me an e-mail.
1.🧠 AI Development: A Speed to Reckon With 🚀
One key reason I focused my energy on AI is the rapid conditions driving its advancement. Let’s consider some examples.
Example: Visual Progress
The most striking representation of AI’s rapid development is the enhancement of its visual capabilities. For example, the evolution of image generation by Midjourney shows how much quality has improved over just five iterations—each version pushing the limits further. Interestingly, the name “Midjourney” suggests we’re still only partway through, on the verge of even greater possibilities.
The advancements don’t stop there; Leonardo (leonardoai.com) is another AI tool that generates highly detailed images, adding non-visual parameters such as age.
(the exact prompt: “medium-full shot of an elderly French woman with deep wrinkles and a warm smile, petting a golden retriever in Washington Square Park, wearing a bright pastel floral blazer made of linen, natural afternoon light reflecting off her eyeglasses, shot on Agfa Vista 200, side-angle view, 4k” – source: https://www.facebook.com/share/p/1BLomVENeT/)
With just a few clicks, I could make the same subject appear as 45, then 65 years old, and even create a brief video of her strolling on the beach (albeit of just 4 seconds).
Richness of Modalities = More Data for Smarter AI
Many people see AI merely as a text-processing tool, but that’s far from true. AI is now processing and understanding images, videos, voices, and sounds—any form of structured or unstructured data.
OpenAI’s latest development, the native MacOpenAI client, takes it even further: it can read your screen and connect directly with certain apps, particularly useful in programming. The direction is clear—AI is becoming more integrated, processing richer data for deeper insights.
Conclusion: On Steroids – No Hardware, All Cloud, Data Driven
AI doesn’t need special hardware like the metaverse’s goggles or headsets. It operates from the cloud, meaning it’s continually updated. And each time you ask it a question or react to an answer, you contribute to its growth.
If you see AI in your future—and you should—pay close attention to its rapid pace of change. It’s accelerating faster than ever, and it’s wise to stay ahead of the curve.
See more:
- On the origins of the name “Midjourny” – https://x.com/its_ericchu/status/1717866348221776239
- For a conflicting view — saying AI progress may be stuck — see Is AI Progress Stuck? | Jennifer Golbeck | TED
- One of the key players in the speed of AI: https://groq.com/
“Groq started with the breakthrough idea of a software-first approach to designing AI hardware. We started with the first principles, resulting in the LPU, the foundation for all of our product offerings. The LPU delivers the highest quality and fast throughput for AI inference, at a more affordable price point and with better energy efficiency, than other solutions in the market today.”
2. Article: OpenAI Can Now Read Your Mac (Source: Techcrunch)
Open AI announced the ChatGPT desktop app for macOS can now read code in a handful of developer-focused coding apps, such as VS Code, Xcode, TextEdit, Terminal, and iTerm2.
See also: ChatGPT on your desktop | OpenAI
3. Conclusion: What is Retrieval-Augmented Generation (RAG) (Source: McKinsey)
Retrieval-augmented generation, or RAG, is a process applied to LLMs (large language models) to make their outputs more relevant in specific contexts. RAG allows LLMs to access and reference information outside the LLM’s training data, such as an organization’s specific knowledge base, before generating a response—and, crucially, with citations included. This capability enables LLMs to produce highly specific outputs without extensive fine-tuning or training, delivering some of the benefits of a custom LLM at considerably less expense.
4. History: The Knowledge Navigator (Source: Apple)
Coined in 1987, the term Knowledge Navigator described a future computing system and how people might use it to navigate worlds of knowledge.
5. MindLi: AI MindLi Resources (Source: DigitalRosh)
We are following all the latest updates and trends in the AI-AGI category on the DigitalRosh website.
In the AI-AGI category, you will find many sparks of inventions and technological progress.
How to Keep in Touch
Wish to Stay Updated?
For updates on DigitalRosh activities and news, sent by the group manager only.
Join our WhatsApp group
Share Your Thoughts With Us
We will be happy to hear from you with any feedback, ideas, or questions.
Join MindLi’s LinkedIn Groups
About Leadership CONNECT
MindLi CONNECT, is a weekly source of news and inspiration for thinking aimed at DigitalRosh members and MindLi users.
In every issue, you will find curated content from different industries. It would take you about 10 minutes reading to get a brief overview of the presented topics.
Want to delve deeper? You would need to have a subscription to the DigitalRosh site which is an affiliate site of MindLi. It is Free. Click on the links in each item or follow the breadcrumbs to the DigitalRosh website.
Enjoy!
Copyright © 2024 MindLi, All rights reserved.