The situation with writing right now is really bad! You can almost feel the collapse of the mode. Everyone writes with AI all the time. And when they don't write with AI, they produce text that looks so much like AI that it's hard to make the
TECHNOLOGY
-
Proprietary labs vs open source efficiency moats
By
–
@kimmonismus bursting for proprietary frontier labs rather than open source players who focus on efficiency rather than cost as a moat.
-
Sakana Fugu Technical Report and Release Notes
By
–
Sakana Fugu Technical Report https://
github.com/SakanaAI/fugu/
blob/main/Fugu_technical_report.pdf
… Release Notes: https://
sakana.ai/fugu-release/ -
Porting a Moebius image model to ONNX for browser
By
–
Today, my side project involved having Claude Code port the new Moebius precise localization image model to ONNX so that it runs entirely in the browser.
-
Unfair comparison: US costs soar, Chinese open source gains
By
–
Unfair comparison as revenue figures not quite apples to apples plus over time I can see the Chinese open source gaining massive momentum as US frontier model costs skyrocket – the most of size and scale results in an Achilles heel of soaring costs
-
Challenges and Benefits of Neuromorphic Computing
By
–
Challenges and Benefits of Neuromorphic Computing by @antgrasso #EmergingTech #Technology #Innovation
-
Mathematics of Machine Learning book review and GitHub link
By
–
Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: http://
github.com/cosmic-cortex/
—
Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
CTO/CIO building AI stack for reliable, secure, scalable data-to-compute
By
–
What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale?
— Helen Yu (@YuHelenYu) 22 juin 2026
That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5.
As AI moves into production, the real differentiator won’t just be the model… pic.twitter.com/YtEQNWnh3JWhat does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model
-
Applied Causal Inference eBook with Machine Learning and AI
By
–
[Download 496-page PDF eBook] Applied Causal Inference Powered by Machine Learning and AI: http://
arxiv.org/abs/2403.02467
————
#ML #DataScience #Algorithms #Statistics -
Multi-trillion-parameter open-source models coming soon to lower token pricing via Jevons paradox
By
–
Also, other multi-trillion-parameter open-source models are landing soon, from what I hear. It's going to be awesome for token pricing and riding the Jevons paradox.