pakistan notice helper: a small ai safety tool
a focused ai tool helps people in pakistan assess suspicious messages before they click, call, or share personal details.
topic
machine learning
macarena benchmark tests ai agents on macos guis
macarena provides 421 tasks across 50 macos apps to evaluate computer-use agents on apple silicon, addressing gaps in existing benchmarks.
automated rubrics for evaluating llms in education
elmes* builds fine-grained rubrics to assess how large language models teach, not just what they know, across 330 long-tail educational scenarios.
openai codex voucher activation unclear for hackathon winners
hackathon participants report issues activating openai codex vouchers, with no clear entry point for the key, while modal vouchers were resolved.
python file writing basics
learn to write, append, and save text, csv, and json files in python using built-in tools.
multi-model finance drama on small models
a hackathon project runs a multi-agent economy where each creature uses a different lab's small model, with the player as a financier manipulating the market.
three spacy tricks for faster text processing
learn how to speed up spacy pipelines and improve entity recognition with selective loading, batch processing, and hybrid rule-based methods.
shipping a multi-agent economy on a 3b model
a field report on building a tiny woodland economy with qwen2.5-3b agents, showing how small models can drive emergent market behavior when paired with designed scarcity and sharp prompting.
pycc.id brings hypothesis-driven equation discovery with identifiability checks
a new python package helps scientists find governing equations from data by using structural skeletons and checking if parameters can be uniquely determined.
calibrating language model confidence with three methods
a look at temperature scaling, platt scaling, and isotonic regression for fixing overconfident llms.
deterministic envelopes fix bias in tamed sgmcmc
new framework decouples taming denominator from stochastic gradient noise to eliminate stationary bias in langevin algorithms.
new clustering index uses description length for validation
a new clustering validation index called central description length uses probabilistic bounds on description length to evaluate clusters without labels, handling non-convex and irregular shapes better than traditional methods.
staged factorial screening for budget-constrained micro-pretraining
a study tests whether staged fractional-factorial experiments can identify stable early effects in micro-pretraining under tight compute budgets.
llm benchmarks miss huge capability gaps
a stereological theory shows that standard llm benchmarks have a large structural blind spot, making rankings unreliable.
master time series analysis with python in 7 steps
a practical guide to learning time series analysis with python, covering data structures, cleaning, exploration, classical and ml models, and deployment.
nemotron 3.5 unifies multimodal safety with custom policies
nvidia releases nemotron 3.5 content safety, a 4b model that combines multimodal input, multilingual support, custom policy enforcement, and auditable reasoning in one inference call.
eva-bench grows to three enterprise voice agent domains
eva-bench data 2.0 adds itsm and healthcare hrsd domains, totaling 213 scenarios across 121 tools to test voice agents on realistic, domain-specific tasks.
agentic ai reshapes data science workflows
ai agents automate routine data tasks, shifting data scientists toward system design and evaluation.