Decrypt

Ornith Is the Open-Source Coding Model Built for Agents, Not Humans

Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel regressions and no DeepSWE submission.
techtimes

Open-Weight AI Enters GitHub Copilot: Kimi K2.7 Code Costs Less, Audits Differently

GitHub moved the AI coding landscape on Wednesday when it made Kimi K2.7 Code — a Beijing-built, open-weight model from Moonshot AI — generally available in the GitHub Copilot model picker, marking ...

The Sports Betting Model Built By A Guy Who Wrote No Code

I’m old enough to remember when statistical analysis in sports pretty much meant checking the box scores in the morning newspaper. Of course, in recent years statistical analysis has exploded in ...
Decrypt

OpenAI's GPT-5.5 Cyber AI Beats Anthropic's Banned Mythos Model—And Nobody's Shutting It Down

GPT-5.5 Cyber tops the CyberGym leaderboard as Anthropic's best models sit offline under a Trump administration export ban.
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
BMJ

Patient-reported outcomes of cancer survivors in England 1–5 years after diagnosis: a cross-sectional survey

2 Department of Health Sciences, University of York, Heslington, York, UK 3 Faculty of Health Sciences, University of Southampton, Southampton, UK 4 Division of Epidemiology, Leeds Institute of ...
Frontiers

Hospital efficiency assessment: a systematic review of DEA and hybrid DEA–machine learning approaches

On the positive side of this dimension are approaches that use DEA and ML simultaneously and integrally, such as benchmarking/target setting, DEA-based ML, and simultaneous/hybrid; while on the ...