There is no loyalty towards LLM models
It’s all abt productivity
if you deliver what you promise take my money simple!
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon!
It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback.
Here’s a look at the benchmarks:
How to apply AI for Traditional Orgs 🤌
A must watch
youtu.be/lXZb21CfeIY?si=EE4y… via @YouTube
Ppl asking what do software factory do
if you have the building block soon this can be the outcome!
Agentic SDLC at Uber — Uday Kiran Medisetty & Adam Huda, Uber youtu.be/17-YSUHo6Lk?si=aGpg… via
@YouTube
📷
The good side of AI is it hallucinates but doesn’t lie in the first go :)
@intercom @LangChain
Bro
We get to be part of such amazing talks…
The highest quality of knowledge is free for everyone now
2026 Frontier & Pioneer Symposium youtu.be/0kC3xOZChdA?si=_g04… via @YouTube
Are Chinese models using frontier labs at the backend?
Or are these just hallucinations?
Was cross-evaluating models for a writing experiment and gave the same prompt to 6+ LLMs:
Grok, GLM, DeepSeek, Gemini, Llama and Mistral.
One thing I asked was for them to identify themselves before answering the questions.
Look who identified as whom 👀
Edit projects -
Keep the components with repo protocols, context and add them.
We get working assembly of the software factory!
Very interesting.
Perception Agents — Antje Barth, Amazon AGI Lab youtu.be/2JX6JYyQG4Y?si=isqR… via @YouTube
Why this is the best time to build
If domain requirements are clear 90% of the work required can be automated
Use langgraph and you have a team
Add Evals , dreaming / Auto learn
And iterate for 2-3 weeks
If child like Micromanagement!
And review once a month or create a performance analytics agent for updates.















