Because learning is rarely a linear process
It is more like layering.
The more we revisit a topic, the more it sinks in.
The first time we learn something, it’s just an introduction.
The second time, patterns start becoming visible.
The third...
Hiring Agentic AI Engineers?
This one question you could ask to separate the real talent from others.
Agentic AI engineering isn’t just about calling APIs or writing flashy prompts.
It’s about building real solutions that work for real users....
I am an accidental teacher. About 3 years ago, I discovered I have a knack for teaching, and since then, I have been teaching.
Over this time period, I realised there’s one highly underrated trait:
Asking questions.
Not to test learners.
No...
What if one AI model could simulate all fluids, from ocean currents to plasma in space?
The problem:
Simulating liquids and gases has always been slow and expensive.
And that's the reason current AI models are limited to one specific use case...
AI Agent logs into humanity:
Humans: 10 prompts to survive AI job loss, Learn AI in 9 Rs, AI-powered therapists, AI-driven car washing, AI-enabled pillow….
AI Agent: “Thinking…. Thinking hard….”
Starts googling how to undeploy itself...
Last week, I wrote about Anthropic’s most advanced model - Mythos Preview - https://lnkd.in/gw9RzATj
This week, Anthropic made a rare move of holding it back
Not because it isn’t ready… but because it may be too capable.
Specifically, disc...
An educational video on a technical topic like AI Agent, and approximately 9 minutes in duration.
In a world full of 15-second entertaining videos,
Everything was against this format.
And yet… it worked.
It’s a validation that if we make ...
Most teams do.
Because realistically:
You don’t have time to review every edge case
Security audits are expensive and slow
And if something really critical existed… surely someone would’ve caught it by now
Right?
Here’s the uncomfortab...
Let an AI agent work on your machine and things can go wrong fast:
Accessing files it shouldn’t
Leaking secrets
Running destructive commands
Modifying things you never intended
So teams do the obvious thing: Add guardrails
But Guardrails insi...
Multimodal AI has a hidden problem.
Images → one tokenizer
Videos → another
3D → completely different setup
And it gets worse:
Models that generate visuals don’t really understand them
Models that understand visuals can’t generate them wel...
As companies deploy more AI agents, new problems appear:
Who controls them?
Who decides what data they can access?
What happens when multiple agents start overlapping or conflicting?
OpenAI is trying to solve this with a new platform called Fro...
Will we eventually design two versions of the internet?
One for humans.
One optimised for AI agents.
AI agents read the web differently from humans.
And that's the reason Cloudflare just introduced “Markdown for Agents.”
When an AI agent r...
Can Local AI Replace the Cloud?
For the last 2-3 years, the AI conversation has been dominated by one assumption:
AI = massive cloud data centres.
But a new study suggests something interesting:
Your laptop may soon handle a large portion ...
If you are running LLMs in production, you have probably seen this:
Models slowing down when reasoning gets deep
Fewer users per server than expected
GPU bills rising fast
The problem isn’t compute.
It’s memory.
When models “think” step by...
Do you trust AI agents to buy things on your behalf?
One concern is obvious that they can make mistakes.
But there are also technical issues: the current infrastructure is not built for AI Agents.
Every store has its own APIs
Every payment syst...
Unless you’ve been completely offline lately, you have probably heard about OpenClaw.
For those new to it, OpenClaw is an open-source, configurable agent framework
The good thing is it runs locally and gives AI Agents real operational capab...
There’s a common belief:
For AI Agents to be truly personalised, they must know everything about you.
But that’s a huge privacy risk, isn’t it?
So the real question is:
Can an AI Agent work on your data without actually seeing it?
And ...
OpenAI is trying something very different from traditional search ads.
According to Sam Altman,
“Ads on search engines make money when a search fails.
If search engines gave you the best answer, there’d be no reason to buy an ad above it.”
...
The problem
Most AI models write text one word at a time.
That keeps answers good, but makes them slow.
Some models try to write everything at once to be faster.
But then:
they lose memory efficiency
the text feels less connected
compute cos...
Over the years, LLMs have become great at understanding training text and images.
But things fall apart when we move to new data type.
For example, medical scans, or sensor data.
Training an LLM on these new data types usually needs thousa...