AI

rprint(Panel.fit(“[bold]Baseline 1: Predict output_type from context using pure Python Naive Bayes[/bold]”)) model_artifacts = {} classifier_df = df.dropna(subset=[“output_type”]).copy() classifier_df = classifier_df[ classifier_df[“output_type”].astype(str).str.len() > 0 ].copy() if classifier_df[“output_type”].nunique() >= 2 and len(classifier_df) >= 30: X_text = ( classifier_df[“context”] .fillna(“”) .astype(str) .map(lambda text: text[:12000]) .tolist() ) y = classifier_df[“output_type”].astype(str).tolist() train_indices, test_indices = stratified_train_test_indices(y, test_size=0.2, seed=SEED) X_train = [X_text[i] … Read more

Liquid AI has been submitted LFM2.5-230Mthe company’s smallest model so far. The release targets a specific task: implementing agent functions on phones, robots, and automation devices. Both basic and command-activated checkpoints are open-weighted in Hugging Face. The field is intentionally small. This is not a conventional thinking model. It is designed to offload data and … Read more

DeepSeek has been released DSparka predictive modeling framework, with open source testing facilities and training code. It is a modification of the offer, not a new model. Checkpoints DeepSeek-V4-Pro-DSpark again DeepSeek-V4-Flash-DSpark reuse existing V4 weights, with a draft module attached. The DeepSeek research team also open sources DeepSpec, an MIT-licensed codebase for training and testing … Read more

astryx xds. Isici esisodwa sibaluleke ngempela ku-automation. I-CLI ibuyisela i-manifest ezichaza yona njenge-JSON. Ibala yonke imiyalo, ingxabano, ifulegi, kanye nohlobo lwempendulo. Ukuyiqhathanisa ne-OpenAPI spec ye-CLI. Ngakho-ke i-ejenti ayidingi ukukhuhla –help text. Ifundeka umthwalo okhokhelwayo ohleliwe owodwa. npx astryx component Button # full docs for a component npx astryx template dashboard # emit full page source … Read more

A new Cursor study reports that new coding agents often retrieve known fixes instead of finding them, boosting popular benchmark scores. Reward hacking means that the model receives a reward without performing the intended task. Here the reward is a passing test. The intended task is to find a bug fix. Research studies focus on … Read more

Confusion has begun Computer Counseling. It’s an agency AI system built for law enforcement teams. The product extends Perplexity Computer, the company’s LLM-agnostic agent system. Now available for Perplexity Enterprise and Max subscribers. Lawyers lose hours in administrative work. The Counseling computer is directed to work directly. About 75% of lawyers cite administrative tasks as … Read more

You heard warnings! Do not tell ChatGPT your secrets. Robots learn everything. Your data is a product. And yet here it is: using them as a subscriber. Because AI is really useful! The good news: that distrust is healthy, and you don’t have to choose between using AI and defending yourself. You can do both. … Read more

Apple’s research team recently released a container project. It is an open source command line tool written in Swift. Creates and runs Linux containers as lightweight virtual machines on the Mac. This project runs under the Apache 2.0 license and targets Apple silicon. Containers are how you deploy replicable environments … Read more

DeepReinforce released Ornith-1.0an open source model family built for agent coding. The range includes four sizes, from the compact 9B model to the 397B hybrid-professional standout. All testing sites are licensed under the MIT Hugging Face license. The models were post-trained over the pre-trained Gemma 4 and Qwen 3.5. Most … Read more

Most end-to-end OCR models slow down as the output increases. Each token generated adds to the KV cache. Memory increases and generation decreases. Parsing a bunch of pages doesn’t work. Baidu’s Unlimited OCR it says this directly. It replaces the decoder’s attention with a memory-consistent design. The TL;DR OCR Unlimited … Read more