Wasim Akram

Solution Architect

[Wasim Akram @_wasim]

@theo Mass small-file deletes are APFS's known worst case. This benchmarks npm's legacy layout, not the Mac. bun/pnpm/uv fixed it with CoW clones + global stores, and APFS gives agents instant worktree clones ext4 can't. Cherry-picked example.

[Karthik @karthikponna19]

me and Claude fable 5 all day everyday :

[Wasim Akram @_wasim]

@lennysan Soo cool looking forward to it :)

[Wasim Akram @_wasim]

Internally, Anthropic uses the same foundational models as the rest of the industry. Their true competitive advantage lies in their product design and organizational structure. https://t.co/8SFXvvE7ji

[Wasim Akram @_wasim]

live stream @AmandaAskell Office Hours Featuring Amanda Askell of Anthropic

https://t.co/i6Mh8W9Fgm

[Lou @loujaybee]

Want to build your own background agents platform like Ramp Inspect or Stripe Minions?

Now you can:
https://t.co/gTuCVk2Obs

[Thariq @trq212]

I put a lot of heart into my technical writing, I hope it's useful to you all.

📌 Here's a pinned thread of everything I've written.

(much of this will be posted on the Claude blog soon as well)

[Dwarkesh Patel @dwarkesh_sp]

The Terence Tao episode.

We begin with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.

People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.

But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.

During this time, what we know today as the better theory can often actually make worse predictions (Copernicus's model of circular orbits around the sun was actually less accurate than Ptolemy's geocentric model).

And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop.

Hope you enjoy!

0:00:00 – Kepler was a high temperature LLM
0:11:44 – How would we know if there’s a new unifying concept within heaps of AI slop?
0:26:10 – The deductive overhang
0:30:31 – Selection bias in reported AI discoveries
0:46:43 – AI makes papers richer and broader, but not deeper
0:53:00 – If AI solves a problem, can humans get understanding out of it?
0:59:20 – We need a semi-formal language for the way that scientists actually talk to each other
1:09:48 – How Terry uses his time
1:17:05 – Human-AI hybrids will dominate math for a lot longer

Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

[Wasim Akram @_wasim]

@karpathy @Ignaci0m_ @_kaitodev Curious which book was it :)

[Benedict Kerres @benedictk__]

Join the local codex community!

There will be a community codex meet up in Munich.

Expect many more in Germany / Europe.

[Wasim Akram @_wasim]

@bcherny I would love to listen to you about sci fi books for hours

[Uncle Bob Martin @unclebobmartin]

With one agent, I used to wait for Claude. With two agents I still waited for Claude, but not as long. With three agents Claude is waiting for me. I am the bottleneck. And the bottleneck is all planning.

[Andrej Karpathy @karpathy]

@nearcyan “It still doesnt work pls fix. dont make any mistakes. ultrathink very hard”

[Wasim Akram @_wasim]

“The universe is not a puzzle to be solved. It is a story to be lived.”

Created a story inspired by Iain Bank Culture series.

https://t.co/OHKZaRJsml

[Wasim Akram @_wasim]

@AnthropicAI Following is the link for the book i will keep on improving the book as Anthropic publishes new articles. I won't generate any royalties. If there are any copyright issues will take down the book.

https://t.co/BnJYKZ2wCI

[Wasim Akram @_wasim]

Published an engineering book using @AnthropicAI based on the Anthropic's amazing Engineering blog.

[Wasim Akram @_wasim]

@AnthropicAI Please find the book here https://t.co/BnJYKZ2wCI

For Orignal Read https://t.co/HIBZKAGk4h

[Wasim Akram @_wasim]

As someone working toward AI research, this talk by @jackclarkSF resonates deeply. He articulates the strange, human experience of watching AI systems come alive—and why we need to listen to what’s unfolding.
https://t.co/eBSrCUX42W

[Wasim Akram @_wasim]

Beautiful documentary by the story for @GoogleDeepMind especially inspiring story of @demishassabis .

https://t.co/Ito74CKTIh

[Jack Lindsey @Jack_W_Lindsey]

One analysis from our pre-release audit of Opus 4.5 stands out to me. Our behavioral evals uncovered an example of apparent deception by the model. By analyzing the internal activations, we identified a suspected root cause, and cases of similar behavior during training. (1/7)