How did you like the episode?

What is AI? In this shorter Q&A episode, I do my best to illustrate one of the fundamental building blocks for AI and describe what AI isn't. It's easy to.... get lost in the AI hype train. It's not going to brush your teeth and give your presentation at work this week. But it may make those tasks a little bit easier. Well, I don't know about the teeth brushing app, but it could be a possibility.

Helpful Info:
AI vs ML vs DL: https://www.ibm.com/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks/

Deep Learning Taking Over:
https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063

Machine Learning as the Original
https://www.algotive.ai/blog/the-history-of-artificial-intelligence-machine-learning-and-deep-learning#ancla_5

How did you like the episode?

The program to replace programmers has received feedback from users, and the company is seeking a $2 billion evaluation. Do they know something we don't about Devin or is this more smoke from the marketing hype train? Was the feedback positive? (no. But you should still listen to the episode, I spent a lot of time on it....)

$2 billion evaluation: https://www.wsj.com/tech/ai/a-peter-thiel-backed-ai-startup-cognition-labs-seeks-2-billion-valuation-998fa39d

YCombinator User Feedback on Devin: https://news.ycombinator.com/item?id=40008109

How Cognition (the company) Describes Devin: https://www.cognition-labs.com/introducing-devin

Sample from the State of Instagram on Devin.AI pre-scandal: https://www.instagram.com/reel/C4hbKHiuNU6/

Since we're citing Instagram, here's a related meme: https://www.instagram.com/reel/C53QT9LtHHQ/

Unofficial, uncut and unpublished response from the company: https://youtu.be/dQw4w9WgXcQ?si=P8ZFvN4KkaPIRbDq

User feedback: https://www.techopedia.com/is-devin-ai-the-end-of-software-engineers-heres-what-experts-say

Media Hype Train: Literally search 'devin ai replace engineers' on Google; or DuckDuckGo if you're a gigachad. While most articles conclude that AI is a helpful tool and not a replacement, you have to scroll all the way to the conclusion to get your answer. Additionally, search 'devin ai will not replace engineers', you'll get a couple of reassuring headlines, but it's mostly the results from the first search.

If you've read this far, just know the YouTube link to the unofficial, uncut and unpublished response is actually a link to Rick Astley's hit song. I have yet to see anyone talk about their response to the user feedback.

How did you like the episode?

While the licenses for apps like GPT 4 and Claude Opus are relatively inexpensive, bringing on an AI development team can cost an arm and a leg. In this episode, we explore why the costs are so high and go over cutting-edge applications that have helped businesses profit in the Age of AI.

How did you like the episode?

The general pre-trained transformer leverages one of the latest architectures unveiled by some of Google's brightest. In this brief history episode, we explore the previous state of research and talk about the iterations of the underlying network that powers ChatGPT.

How did you like the episode?

Devin.ai is a new take on the coding assistant market -claiming it can fully automate software engineering tasks. In this episode, I'll cover all of the relevant information about this new project and weigh in on where I think this technology will eventually lead to.

Helpful Resources
Results: https://www.cognition-labs.com/post/swe-bench-technical-report
SWE Benchmark: https://github.com/princeton-nlp/SWE-bench
Auto GPT:  https://github.com/Significant-Gravitas/AutoGPT/releases
Globe Explorer: https://explorer.globe.engineer/

How did you like the episode?

As abstract as Artificial Intelligence is, we need an even more abstract solution to make it possible. In this multi-part episode, I'll describe the very beginning of computing and how we have grown technologically to facilitate AI.

How Do Computers Work: https://softwareengineering.stackexchange.com/questions/81624/how-do-computers-work

Resources:
https://thequantuminsider.com/2020/05/26/history-of-quantum-computing/
https://en.wikipedia.org/wiki/History_of_computer_science
https://www.britannica.com/technology/computer/The-first-computer
https://www.britannica.com/technology/computer/Early-business-machines

How did you like the episode?

From theories to TPUs, we've come a very long way in Artificial Intelligence. In this episode, we'll highlight some of the notable Artificial Intelligence contributions that have led to where we're at in AI and give a quick method for identifying key components in models. Why? Because having the ability to identify models and what they're good at will help you participate in the AI conversation! And knowing where AI started from will hopefully give you a better appreciation for the technology.

How did you like the episode?

Have you heard the latest AI news? Catch up on some interesting developments from Google Gemini, Apple's New AI Programs, the Roblox AI team and Covariant creating AI automations that remind me of a South Park episode.

How did you like the episode?

My name’s Jacob and this is the Awakened Intelligence podcast; an easy to digest news and education podcast covering Artificial Intelligence. AI is a technical subject, and this very brief episode answers two questions you might have:

Why does this podcast exist? It’s easy to get lost in the AI hype train and buried under technical papers. The technical nature of this subject turns away anyone who hates math or doesn't want to spend hours reading papers. Myself and several colleagues make jokes about how hard it is to read some artificial intelligence papers and understand these concepts. Yet, the contents of these papers can change lives if they ever saw daylight.

Why should you tune in to this podcast?  I have over 7 years of software development experience and have been in the AI research space for the last 5. I've also been a teaching assistant for the past 3 years and informally mentored several colleagues/classmates during my time in academics. I may not be the best expert on AI, but that's not my mission. My mission is to make this content more digestible so we can have more AI experts in the world.

Outside of the time I've already spent in academia, I dedicate hours of research to individual topics and cross referencing information to ensure it's legit. While some information may change, I ensure the information presented is as accurate as possible. I do my best to teach meaningful concepts without over hyping AI and try not to bore you with technical details. There are many sources of information out there, and my goal is to condense the good stuff into an easily digestible format.