#fun
The result looks good. It probably makes better choices than me.
Lopez-Lira, Alejandro, and Yuehua Tang. 2023. “Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models.” arXiv [q-Fin.ST]. arXiv. http://arxiv.org/abs/2304.07619.
The result looks good. It probably makes better choices than me.
Lopez-Lira, Alejandro, and Yuehua Tang. 2023. “Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models.” arXiv [q-Fin.ST]. arXiv. http://arxiv.org/abs/2304.07619.
arXiv.org
Can ChatGPT Forecast Stock Price Movements? Return Predictability...
We document the capability of large language models (LLMs) like ChatGPT to predict stock market reactions from news headlines without direct financial training. Using post-knowledge-cutoff...
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#ai
Well, I figure many people actually "think" like this.
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf
Well, I figure many people actually "think" like this.
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf
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#dl
So tensorflow and jax are deprecated in the transformers package.
https://github.com/huggingface/transformers/pull/38758
So tensorflow and jax are deprecated in the transformers package.
https://github.com/huggingface/transformers/pull/38758
GitHub
Deprecate TF + JAX by Rocketknight1 · Pull Request #38758 · huggingface/transformers
The time has finally come 🔫 🥃
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#ml
Machine Learning Visualized — Machine Learning Visualized
https://ml-visualized.com/?utm_source=substack&utm_medium=email
Machine Learning Visualized — Machine Learning Visualized
https://ml-visualized.com/?utm_source=substack&utm_medium=email
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#dl
A few cool ideas in this model.
Introducing Gemma 3n: The developer guide - Google Developers Blog
https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/
A few cool ideas in this model.
Introducing Gemma 3n: The developer guide - Google Developers Blog
https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/
Googleblog
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Learn how to build with Gemma 3n, a mobile-first architecture, MatFormer technology, Per-Layer Embeddings, and new audio and vision encoders.
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#ai
PedanticAI already partially supports A2A .
Agent2Agent (A2A) Protocol
https://a2aproject.github.io/A2A/dev/
PedanticAI already partially supports A2A .
Agent2Agent (A2A) Protocol
https://a2aproject.github.io/A2A/dev/
a2a-protocol.org
A2A Protocol
The official documentation for the Agent2Agent (A2A) protocol. The A2A protocol is an open standard that allows different AI agents to securely communicate, collaborate, and solve complex problems together.
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#misc
So stupid if this is true.
Jordi Hays on X: "Here is most of what I’ve gathered on the Windsurf / Google Deal The founders and dozens of engineers are going to Google. This group, along with the preferred shareholders will be sharing the $2.4B headline number. The exact split is unknown but investors are making some money" / X
https://x.com/jordihays/status/1944200891944644997
So stupid if this is true.
Jordi Hays on X: "Here is most of what I’ve gathered on the Windsurf / Google Deal The founders and dozens of engineers are going to Google. This group, along with the preferred shareholders will be sharing the $2.4B headline number. The exact split is unknown but investors are making some money" / X
https://x.com/jordihays/status/1944200891944644997
X (formerly Twitter)
Jordi Hays (@jordihays) on X
Here is most of what I’ve gathered on the Windsurf / Google Deal
The founders and dozens of engineers are going to Google. This group, along with the preferred shareholders will be sharing the $2.4B headline number. The exact split is unknown but investors…
The founders and dozens of engineers are going to Google. This group, along with the preferred shareholders will be sharing the $2.4B headline number. The exact split is unknown but investors…
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#misc
How we learned to stop worrying and love ChatGPT: 1,800 researchers on AI tools for science - Paperpile
https://paperpile.com/blog/ai-tools-for-science/
How we learned to stop worrying and love ChatGPT: 1,800 researchers on AI tools for science - Paperpile
https://paperpile.com/blog/ai-tools-for-science/
Paperpile
How we learned to stop worrying and love ChatGPT: 1,800 researchers on AI tools for science - Paperpile
Read about Paperpile’s data-driven approach to learn about the AI tools and use cases that expert researchers value most. Paperpile incorporated this survey feedback into their forward-looking AI roadmap, including a key set of principles to guide development.
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#ai
OpenAI open weight models. The benchmarks are amazing.
https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4
OpenAI open weight models. The benchmarks are amazing.
https://huggingface.co/collections/openai/gpt-oss-68911959590a1634ba11c7a4
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#dl
Park, Chanwook, Sourav Saha, Jiachen Guo, Hantao Zhang, Xiaoyu Xie, Miguel A. Bessa, Dong Qian, et al. 2025. “Unifying Machine Learning and Interpolation Theory via Interpolating Neural Networks.” Nature Communications 16 (1): 1–12.
https://www.nature.com/articles/s41467-025-63790-8
Park, Chanwook, Sourav Saha, Jiachen Guo, Hantao Zhang, Xiaoyu Xie, Miguel A. Bessa, Dong Qian, et al. 2025. “Unifying Machine Learning and Interpolation Theory via Interpolating Neural Networks.” Nature Communications 16 (1): 1–12.
https://www.nature.com/articles/s41467-025-63790-8
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#ai
Souly, Alexandra, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, et al. 2025. “Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples.” arXiv [Cs.LG]. arXiv. http://arxiv.org/abs/2510.07192.
Souly, Alexandra, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, et al. 2025. “Poisoning Attacks on LLMs Require a Near-Constant Number of Poison Samples.” arXiv [Cs.LG]. arXiv. http://arxiv.org/abs/2510.07192.
arXiv.org
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Poisoning attacks can compromise the safety of large language models (LLMs) by injecting malicious documents into their training data. Existing work has studied pretraining poisoning assuming...
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Ironies+of+Automation_Bainbridge_1983.pdf
615.4 KB
#cloud
Thinking about the recent aws outage, this classical piece of work is still relevant after so many years. The paradox of automation, or cloud infra, is so real.
Thinking about the recent aws outage, this classical piece of work is still relevant after so many years. The paradox of automation, or cloud infra, is so real.
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#ai
AI to juniors is more or less a "fuck you in particular" thingy.
https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/
AI to juniors is more or less a "fuck you in particular" thingy.
https://digitaleconomy.stanford.edu/publications/canaries-in-the-coal-mine/