AIGuys Digest | April 2025
๐ Welcome to the AIGuys Digest Newsletter, where we cover State-of-the-Art AI breakthroughs and all the major AI news๐. Donโt forget to check out my new book on AI. It covers a lot of AI optimizations and hands-on code:
Ultimate Neural Network Programming with Python
๐ Inside this Issue:
- ๐ค Latest Breakthroughs: This month, it is all about how AI canโt make discoveries, the Biology of LLMs, and a practical guide for building agents.
- ๐ AI Monthly News: Discover how these stories revolutionize industries and impact everyday life. OpenAI's new model releases, the New Meta AI app, and Dolphin Gemma.
- ๐ Editorโs Special: This covers the interesting talks, lectures, and articles we came across recently.
Letโs embark on this journey of discovery together! ๐๐ค๐
Follow me on Twitter and LinkedIn at RealAIGuys and AIGuysEditor.
Latest Breakthroughs
We keep talking about innovation and intelligence, but why do ๐ฌ๐ข๐ฆ๐ฉ๐ฅ๐ ๐ฉ๐๐ญ๐ญ๐๐ซ๐ง ๐ฆ๐๐ญ๐๐ก๐ข๐ง๐ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ข๐ง๐ง๐จ๐ฏ๐๐ญ๐ข๐ฏ๐? And on the same issue, today we are taking a deep dive.
In this blog, I propose my ๐จ๐ซ๐ข๐ ๐ข๐ง๐๐ฅ ๐ก๐ฒ๐ฉ๐จ๐ญ๐ก๐๐ฌ๐๐ฌ ๐จ๐ง ๐ก๐จ๐ฐ ๐ญ๐จ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ ๐ซ๐๐๐ฌ๐จ๐ง๐ข๐ง๐ in hashtag#LLMs. I know my hypothesis is far from perfect, but it is a start.
All the reasoning metrics out there are fundamentally broken; they only check for type 1 thinking, barely for type 2. Of all the benchmarks Iโve come across, only ARC AGI checks somewhat of type 2, but even that is not perfect.
We also talk in great detail about why creating such a metric is so hard and need of the hour.
Why AI Canโt Make Its Own Discoveries
In this blog, we are going to dive deeper into the internals and look at the ๐๐ข๐จ๐ฅ๐จ๐ ๐ฒ ๐จ๐ ๐๐๐๐ฌ to understand what makes them tick.
We must ask ourselves why it is important to understand the internals of these systems.
๐๐ฆ ๐ฏ๐ฆ๐ฆ๐ฅ ๐ต๐ฉ๐ช๐ด ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ด๐ต๐ข๐ฏ๐ฅ๐ช๐ฏ๐จ ๐ด๐ฐ ๐ต๐ฉ๐ข๐ต ๐ธ๐ฆ ๐ฅ๐ฐ๐ฏโ๐ต ๐ค๐ฐ๐ฏ๐ง๐ถ๐ด๐ฆ ๐ฐ๐ถ๐ณ๐ด๐ฆ๐ญ๐ท๐ฆ๐ด ๐ข๐ฃ๐ฐ๐ถ๐ต ๐ต๐ฉ๐ฆ ๐ค๐ข๐ฑ๐ข๐ฃ๐ช๐ญ๐ช๐ต๐ช๐ฆ๐ด ๐ฐ๐ง ๐ต๐ฉ๐ฆ๐ด๐ฆ ๐ด๐บ๐ด๐ต๐ฆ๐ฎ๐ด.
๐๐๐๐ฌ ๐๐๐ง ๐๐๐ฌ๐ข๐ฅ๐ฒ ๐๐จ๐จ๐ฅ ๐ฎ๐ฌ ๐ข๐ง๐ญ๐จ ๐ญ๐ก๐ข๐ง๐ค๐ข๐ง๐ ๐ญ๐ก๐๐ญ ๐ญ๐ก๐๐ฒ ๐๐ซ๐ ๐ฌ๐จ๐ฅ๐ฏ๐ข๐ง๐ ๐ ๐ฉ๐ซ๐จ๐๐ฅ๐๐ฆ ๐๐ฒ ๐ซ๐๐๐ฌ๐จ๐ง๐ข๐ง๐ ๐ข๐ง๐ฌ๐ญ๐๐๐ ๐จ๐ ๐ฆ๐๐ฆ๐จ๐ซ๐ข๐ณ๐๐ญ๐ข๐จ๐ง.
This is one of the most detailed articles you will read today on the internals of LLMs.
On The Biology Of A Large Language Model
If you are trying to build ๐๐ ๐๐ง๐ญ๐ข๐ ๐๐ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ, this is a must-read.
This blog is covering all the practical details you need to know before diving deep into Agents.
From defining what an agent is and when we should build an agentic pipeline, itโs important to understand these details so that we donโt overcomplicate our systems. This article lays the foundation of Agent Design, from a single agent system to multi-agent systems. And finally, we talk about how to set up guardrails.
A Practical Guide For Building Agents
AI Monthly News
OpenAI Is Scaling Fast
With a new round of 40$ Billion, OpenAI is all set to scale the GPT family. It is the largest private tech deal on record, led by SoftBank and others
Recently, OpenAI introduced two new models โ o3 and o4-mini โ enhancing their suite of AI offerings. These models represent a leap in multimodal reasoning, integrating text, vision, and code with enhanced chain-of-thought capabilities. They also support agentic workflows, enabling more autonomous AI behaviors
OpenAI GPT-4.5: OpenAIโs GPT-4.5 achieved a 10x improvement in reasoning efficiency over GPT-4. Notably, OpenAI claims it can now rebuild GPT-4 with just 5โ10 engineers, down from hundreds previously, due to architectural simplifications and training optimizations
Meta AI App: A New Way to Access Your AI Assistant
- Meta recently launched the first version of the Meta AI app: the assistant that gets to know your preferences, remembers context and is personalized to you.
- The app includes a Discover feed, a place to share and explore how others are using AI.
- Itโs now the companion app for our AI glasses and is connected to meta.ai, so you can pick up where you left off from anywhere you are.
Read More: Click here
DolphinGemma: How Google AI is helping decode dolphin communication
For decades, understanding the clicks, whistles and burst pulses of dolphins has been a scientific frontier. What if we could not only listen to dolphins, but also understand the patterns of their complex communication well enough to generate realistic responses?
Recently, on National Dolphin Day, Google, in collaboration with researchers at Georgia Tech and the field research of the Wild Dolphin Project (WDP), is announcing progress on DolphinGemma: a foundational AI model trained to learn the structure of dolphin vocalizations and generate novel dolphin-like sound sequences. This approach in the quest for interspecies communication pushes the boundaries of AI and our potential connection with the marine world.
Article: Click here
Editorโs Special
- Why we arenโt getting any better at AI alignment: Click here
- Richard Zhang from Google Deep Mind (Redemptive AI): Click here
- The leaderboard illusion of LLMs: Click here
๐ค Join the Conversation: Your thoughts and insights are valuable to us. Share your perspectives, and letโs build a community where knowledge and ideas flow freely. Follow us on Twitter and LinkedIn at RealAIGuys and AIGuysEditor.
Thank you for being part of the AIGuys community. Together, weโre not just observing the AI revolution; weโre part of it. Until next time, keep pushing the boundaries of whatโs possible. ๐๐
Your AIGuys Digest Team
