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The Real Cost of Running AI
From FLOPs to GPUs to KV Cache — What Every Token Actually Costs
Feb 19
•
Devansh
69
10
14
How I taught myself to get cutting edge in AI
How to teach yourself AI- for technical folk
Feb 18
•
Devansh
41
2
How Fractals Can Improve How AI Models Internally Represent Information
A deep dive into hierarchy and why present AI systems are missing it.
Feb 13
•
Devansh
36
2
7
Why Silicon Valley Got Industrials Wrong [Livestreams]
Meet Philipp Wehn, the a16z Founder using AI to improve Heavy Industries.
Feb 10
•
Devansh
15
1
4
39:01
Inside Zhipu: How One of China’s AI Tigers Thinks About Building Models [Livestreams]
A candid conversation on tradeoffs, scale, and what actually matters.
Feb 6
•
Devansh
14
2
53:24
AI Isn’t Accelerating. It’s Settling.
How verification costs, retention curves, and stateful systems are reshaping where value accumulates
Feb 3
•
Devansh
46
3
4
Why Open Source AI is Suddenly Raising Hundreds of Millions of Dollars
Databricks, Sakana AI, Radix, and why Investors are rushing to invest in Open Source AI
Feb 1
•
Devansh
47
3
6
January 2026
Why Meta Keeps Outperforming the Financial Analysts
A deepdive into the Metaverse, Open Source, and how Meta is tackling their biggest challenges.
Jan 29
•
Devansh
36
2
1
Meet Wafer: The YC Startup Making GPUs 5x More Efficient with AI [Livestreams]
What are Kernels and Why writing them better can improve GPU usage by 5x.
Jan 28
•
Devansh
and
Emilio
51
5
54:24
An honest review of ChatGPT Health [Guest]
Why ChatGPT Health turned out to be good news for Google (and Anthropic).
Jan 26
•
Devansh
39
6
5
How a Non-Computer Science Student Nailed a Meta Software dev job
Hint: Did not bribe the hiring team. The structured, strategic way to succeed at LeetCode interviews
Jan 24
•
Devansh
39
3
How One Startup is Breaking Nvidia’s Memory Bottleneck
How Weka is Solving AI’s Trillion Dollar Memory Problem.
Jan 20
•
Devansh
60
2
12
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