The War on Micromanaging AI Has a New Weapon: Specifications
Discover how spec-driven development transforms AI collaboration by shifting focus from micromanagement to clear requirements.
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Survival Dynamics of Neural and Programmatic Policies in Evolutionary Reinforcement Learning
arXiv:2601.04365v1 Announce Type: new Abstract: In evolutionary reinforcement learning tasks (ERL), agent policies are often encoded as small artificial neural networks (NERL). Such representations lack explicit modular structure, limiting behavioral interpretation. We investigate whether programmatic policies (PERL), implemented as soft, differentiable decision lists (SDDL), can match the performance of NERL. To support reproducible evaluation, we provide the first fully specified and open-source reimplementation of the classic 1992 Artificial Life (ALife) ERL testbed. We conduct a rigorous survival analysis […]
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Understanding Pure Textual Reasoning for Blind Image Quality Assessment
arXiv:2601.02441v1 Announce Type: new Abstract: Textual reasoning has recently been widely adopted in Blind Image Quality Assessment (BIQA). However, it remains unclear how textual information contributes to quality prediction and to what extent text can represent the score-related image contents. This work addresses these questions from an information-flow perspective by comparing existing BIQA models with three paradigms designed to learn the image-text-score relationship: Chain-of-Thought, Self-Consistency, and Autoencoder. Our experiments show that the score prediction performance of the existing […]
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Google Quietly Tests CC, an AI Assistant That Lives in Your Inbox
Key Highlights: Google, as we know, has intensified AI features push in the last few months. Now, the Mountain View giant is experimenting with a new approach around how AI can boost productivity. But, this time it lives directly in your inbox. Yes, you read that right. Google’s new experimental AI feature “CC” gives your day’s plan every morning Today, the company quietly launched an experimental assistant called CC, and it’s now available via Google Labs. The only […]
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Rotary Position Embeddings for Long Context Length
This article is divided into two parts; they are: • Simple RoPE • RoPE for Long Context Length Compared to the sinusoidal position embeddings in the original Transformer paper, RoPE mutates the input tensor using a rotation matrix: $$ begin{aligned} X_{n,i} &= X_{n,i} cos(ntheta_i) – X_{n,frac{d}{2}+i} sin(ntheta_i) \ X_{n,frac{d}{2}+i} &= X_{n,i} sin(ntheta_i) + X_{n,frac{d}{2}+i} cos(ntheta_i) end{aligned} $$ where $X_{n,i}$ is the $i$-th element of the vector at the $n$-th position of the sequence of tensor $X$.
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New Data Vindicates Report DHS Called ‘Made Up’
New data confirms Cato scholar David Bier’s report that DHS publicly dismissed as “made up”: 71% of ICE arrests in early October had no criminal convictions, and 45% had no convictions or even pending charges. lead , , The data—directly from ICE—shows arrests of non-criminals have surged 585% year-over-year while ICE ignores nearly 500,000 removable immigrants with actual convictions. You can read Bier’s full analysis here. His previous data can be found here. If you’d like to speak with Bier, […]
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Forecasting the U.S. Treasury Yield Curve: A Distributionally Robust Machine Learning Approach
arXiv:2601.04608v1 Announce Type: cross Abstract: We study U.S. Treasury yield curve forecasting under distributional uncertainty and recast forecasting as an operations research and managerial decision problem. Rather than minimizing average forecast error, the forecaster selects a decision rule that minimizes worst case expected loss over an ambiguity set of forecast error distributions. To this end, we propose a distributionally robust ensemble forecasting framework that integrates parametric factor models with high dimensional nonparametric machine learning models through adaptive forecast […]
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New methodology for calculating Webometrics University Ranking: From Google Scholar to OpenAlex
The Webometrics University Ranking website ceased to function in 2025 due to an inability to obtain citation data from Google Scholar. Since then, Webometrics University Ranking data has been published on the Figshare server, but the values of the three individual indicators have not been ranked. From July 2025 onwards, the Openness indicator values for citations have been calculated using OpenAlex via the ROR identifier. Data on the ranking of all three indicators will be provided twice a […]
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The Authorization Gap No One Wants to Talk About: Why Your API Is Probably Leaking Right Now
I’ve spent the last eighteen months talking to engineers at companies you’d recognize—household names in fintech, healthcare, logistics. Same pattern everywhere. They’ll walk me through their authentication layers, their OAuth flows, their JWT rotation policies. Beautiful stuff. Then I ask: “So once I’m logged in as User 47, what stops me from just requesting User 48’s data?” Long pause. Someone mentions rate limiting. Someone else brings up their WAF. Nobody mentions the actual check. This is the BOLA […]
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Skylight debuts Calendar 2 to keep your family organized
Skylight, known for its digital picture frame, has a new digital product that puts software and AI at the center.
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