January 2025 Digest
The year of agents has begun, and you have front-row seats to the theater of mass innovation. If you've been glued to your phone these past few weeks and missed the action, don’t worry—this digest has you covered.
Last month, I have been covering the following topics:
If you need a brief summary, then skim below what these posts are all about.
Let's hop right in
Nvidia's Jensen Huang on Agentic AI
NVIDIA ’s Jensen Huang took the stage at CES 2025 and made one thing clear: the era of agentic AI is here. He painted a future where AI agents aren't just chatbots but fully embodied digital and physical assistants—local, autonomous, proactive, and deeply integrated into our lives. Nvidia is fueling this shift with the Blackwell GPU and Nvidia Cosmos, a platform designed to build and deploy AI agents at scale. The message? AI is no longer just about models—it’s about action. The next wave of disruption belongs to the agents.
Nemotron vs Qwen - Game Theory and Agent Reasoning IV
In this post, I compared how Nvidia's Nemotron and AliBaba's Qwen approach governance, tracking AI-generated thoughts, and measuring model quality—key factors in shaping agentic AI. The real challenge isn’t just building smarter models; it’s ensuring they reason effectively, stay aligned, and can be evaluated reliably. I explored how different strategies in oversight and self-reflection could determine which AI ecosystems thrive. As agents become more autonomous, the race to govern and track their decision-making is just as critical as raw performance.
A Survival Guide to AI Agent & Agentic Risk
Here, I break down the key threats posed by agents gone wrong—misalignment, unpredictability, and lack of accountability as categorized into :
These autonomous systems, while powerful, could easily spiral out of control if not properly governed, causing risks like biased decision-making or harmful unintended actions.
I explain how these threats can be mitigated, from robust oversight to transparent tracking of agent behavior. As agents become more autonomous, understanding these risks and how to manage them is crucial for anyone navigating the future of AI.
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OpenAI's Stargate - A New Deal for Agentic Architectures
OpenAI's Stargate Project is a game-changer in AI infrastructure. With a $500 billion investment over four years, it's set to build the largest private computing network ever, aiming to secure American leadership in AI and create hundreds of thousands of jobs. This ambitious initiative involves key players like OpenAI, SoftBank, Oracle, and MGX, and is already underway in Texas. Energy to support datacenter-growth in China is growing quickly and the West has to answer.
Thus, Stargate underscores the strategic importance of AI infrastructure, positioning the West at the forefront of the AI race.
Cognitive Reasoning Agents and the Extended Information Filter
I dive into how this advanced extension of the Kalman Filter is reshaping the way agents process and reason about information. The Extended Information Filter (EIF) is a game-changer for cognitive reasoning in AI, offering a more efficient and accurate way to manage uncertainty in dynamic environments. I explore how this method enhances agent decision-making, allowing them to better handle complex, real-world data while maintaining optimal performance.
If you're looking to understand how agents can apply probabilistic reasoning and thus think more effectively and manage uncertainty, this post breaks it down.
Becoming Agent Bill Ackman
Context matters Here, I explore the creation of a highly skilled wealth management vertical agent, dubbed "SuperBill," inspired by the strategies of renowned investor Bill Ackman. I highlight how effectively managing context is crucial for SuperBill's operations, enabling it to navigate complex financial landscapes and make informed decisions. By integrating Ackman's investment principles, SuperBill exemplifies the potential of AI agents in personalized wealth management.
As we navigate this dynamic landscape, staying informed and engaged is crucial.
The convergence of technological advancements and regulatory developments promises a future where AI agents play an increasingly integral role in various sectors.
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