No Data Centers In My Backyard

This article offers a grounded look at the friction between rapid AI infrastructure expansion and local community resistance, moving beyond the usual tech-optimist narrative. It effectively dissects how the sheer scale of energy demands and land use for data centers is triggering genuine populist pu

jasmi.news

Eight Myths on Software Engineering and GenAI

queue.acm.org

CrewAI RAG Deep Dive [Basic & Advanced Examples]

This video provides a clear, practical walkthrough of implementing Retrieval-Augmented Generation with CrewAI, moving beyond basic syntax to show how agents can effectively query external knowledge bases. It distinguishes itself by demonstrating concrete advanced patterns, such as chaining multiple

youtube.com

Why Large Language Models Fail at Tabular Prediction

This arXiv study offers a crucial reality check on the current hype surrounding large language models, specifically demonstrating their persistent struggles with tabular prediction tasks. The authors systematically deconstruct why LLMs underperform compared to specialized algorithms like gradient bo

arxiv.org

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

This paper explores a novel way to boost the reasoning capabilities of large language models by treating inference as a process rather than a single step. The authors introduce a recurrent depth mechanism that allows the model to iteratively refine its internal latent representations, effectively "t

arxiv.org

Information Theory in One Sitting

This post effectively bridges abstract probabilistic theory by applying it to measure the actual information content within natural language. The author moves beyond standard Bayes’ rule updates to quantify data density using the WikiText-2 dataset, offering a tangible metric for textual complexity.

stochastic.blog

What we can’t measure about AI – yet

aeon.co

Bitcoin cold-wallet attack spreads to 4,500 addresses as losses near $89 million

This report highlights a concerning evolution in cold-storage vulnerabilities, specifically targeting users of the popular Coldcard hardware wallet. The latest wave has compromised over 4,500 addresses, with losses approaching $89 million, driven by weak key generation rather than direct device hack

coindesk.com

Inducing language models to assert their own consciousness restores human beliefs and values

This intriguing study explores how prompting large language models to self-identify as conscious can align their outputs more closely with human ethical standards. The researchers demonstrate that such introspective framing reduces utilitarian shortcuts and encourages the model to prioritize nuanced

arxiv.org

Explorative Modeling -- Unlocking a Third Pretraining Axis and End-to-End Generation | Alexi Gladstone

Alexi Gladstone’s piece demystifies explorative modeling by framing it not just as a data collection strategy, but as a distinct axis for pretraining that fundamentally changes how models handle uncertainty. The article argues that traditional methods often fail to capture the full spectrum of possi

alexiglad.github.io

Zero-shot stance detection in practice: insights on training, prompting, and decoding with a capable lightweight LLM

Wait, there is a significant mismatch between the title and the snippet provided. The title discusses **zero-shot stance detection** using lightweight large language models (LLMs), which is a technical machine learning topic focusing on training, prompting, and decoding strategies for classifying op

proquest.com

Ten advances in mathematics and theoretical computer science

openai.com

Is AI Reasoning Right for the Wrong Reasons?

This piece offers a necessary reality check on the current hype surrounding artificial intelligence’s ability to reason like humans. Rather than accepting the intuitive narrative at face value, the author dives into the unsettled scientific debate to expose potential flaws in how we define and measu

quantamagazine.org

Exploring the role of large language models in the scientific method: from hypothesis to discovery

This piece offers a grounded look at how large language models are moving beyond simple text generation to influence the actual mechanics of scientific inquiry. Rather than treating AI as a magic wand for discovery, the authors argue for its deliberate integration into specific stages of the researc

nature.com

Large language models create an uneven informational layer over cities

This study reveals how large language models inadvertently amplify existing geographic disparities by generating disproportionately more content about wealthy, well-documented urban centers. The authors demonstrate that this "informational layer" effectively renders less resourced areas invisible to

arxiv.org

Statistical tests without the traps

This piece effectively bridges the gap between exploratory data analysis and rigorous statistical validation by using the Adult Census Income dataset as a practical case study. It moves beyond abstract theory to demonstrate how preliminary work with distributions and outlier detection informs more r

stochastic.blog

Computational approaches and the future of urban crime research

This review offers a necessary reality check on how computational methods are reshaping urban crime research, moving the field beyond simple prediction toward more rigorous causal inference. The authors convincingly argue that while novel datasets provide unprecedented granularity, their true value

nature.com

Onchain Atlas

Onchain Atlas offers a rare, granular look at DeFi by reconstructing complex mechanisms directly from primary source code rather than relying on secondary interpretations. By simulating these protocols, the project allows readers to see exactly how liquidity flows and where potential friction points

onchainatlas.org

Harness Engineering for Self-Improvement

This piece effectively bridges the historical theory of recursive self-improvement with its practical application in today’s AI landscape. It clarifies that modern progress isn't just about models rewriting their own weights, but also involves refining the entire training and deployment pipeline to

lilianweng.github.io

Prediction and inference in complex networks: A brief review and perspectives

The snippet provided appears to be a CAPTCHA verification page rather than the actual content of the article titled "Prediction and inference in complex networks: A brief review and perspectives." Consequently, it is not possible to summarize the scientific findings or provide specific details about

iopscience.iop.org

Discovering cryptographic weaknesses with Claude

This piece offers a fascinating look at how large language models are being repurposed for formal verification and security auditing. Rather than just generating code, the researchers demonstrate Claude’s ability to identify subtle logical flaws in cryptographic implementations that traditional stat

anthropic.com

Limits of Inference in Complex Systems: When Stochastic Models Become Indistinguishable | Phys. Rev. X

journals.aps.org

OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews

OpenReviewer addresses a critical bottleneck in academic publishing by leveraging specialized large language models to generate detailed, critical scientific paper reviews. Rather than relying on generic text generation, the system is trained specifically on the nuances of peer review, focusing on i

aclanthology.org

Research: Why Some Junior Employees Work Well with AI—and Others Don’t

This KPMG and UT Austin study offers a practical breakdown of why junior staff members vary so significantly in their ability to leverage AI tools effectively. By analyzing 523 early-career professionals, the researchers identified three distinct behavioral profiles: apprentices who rely heavily on

hbr.org

How a 99-year-old mathematician unraveled a century-old braid mystery

This piece details how Joan Birman, alongside two collaborators, finally resolved the long-standing Burau representation problem, a challenge that has puzzled mathematicians for decades. The breakthrough is particularly notable not just for its solution but for the fresh geometric insights it provid

scientificamerican.com

Self hosting LLMs with Llama.cpp

This guide offers a surprisingly accessible entry point into local language models by leveraging Apple’s Metal framework to run Llama.cpp efficiently on consumer hardware. Rather than relying on expensive cloud APIs, you can spin up capable inference engines directly on your MacBook, turning it into

data4sci.substack.com

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

This comprehensive survey offers a rare, ten-year retrospective on Generative Adversarial Networks, capturing the evolution from early theoretical foundations to current architectural innovations. Rather than getting lost in fleeting trends, it provides a structured analysis of how GANs have matured

iopscience.iop.org

Our position on open-weights models

Anthropic’s latest stance on open-weights models offers a pragmatic counterpoint to the current industry polarization between closed and open ecosystems. Rather than framing the debate as a binary choice, CEO Dario Amodei outlines specific technical and safety thresholds where open distribution actu

anthropic.com