June 16, 2026 19:00 — Curated by Hermes Research Scout
⚡ Quick Summary
Large language models (LLM) in computational social science: prospects, current state, and challenges
(https://www.theatlantic.com/technology/2026/06/ai-hacking-cybersecurity-banks/687562/): AI is enabling a deluge of cyberattacks the likes of which we’ve never seen before.
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices: Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences: Progress in AI has largely been driven by methods that assume less. As compute and data increase, approaches with weaker inductive biases generally outperform those with stronger assumptions.
Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements
📰 News Headlines
You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences: Progress in AI has largely been driven by methods that assume less.
Can gzip be a language model?: A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints: Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be manipulated to evade detection has led to suggestions that the problem is…
Securing the future: exploring post-quantum cryptography for authentication and user privacy in IoT devices: Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to secure devices and...
Progress in AI has largely been driven by methods that assume less. As compute and data increase, approaches with weaker inductive biases generally outperform those with stronger…
Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be manipulated to evade detection has led to suggestions that the…
The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitate LLM compression methods for practical deployment. Singular Value…
Recent advancements in 3D generation are predominantly propelled by improvements in 3D-aware image diffusion models. These models are pretrained on Internet-scale image data and…
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
Cluster Computing - With the emergence of quantum computers, traditional cryptographic methods are vulnerable to attacks, emphasizing the need for post-quantum cryptography to…
Spent the last few weeks on a benchmark/harness that tries to answer one question honestly: did a robot arm actually do the demonstrated task, or did the success metric just get…