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BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost
BottleCap AI has released ThinkingCap-Qwen3.8-27B, a fine-tune of Qwen3.8-27B that spends 37.2% fewer thinking tokens across 12 benchmarks. Macro accuracy moves from 86.65% to 85.79%, and long-context AA-LCR improves by 2.25pp. The model is a drop-in replacement on vLLM and SGLang, with FP8, NVFP4…
How to Maximize Your Coding Agent Subscriptions
Get more out of your coding agent subscriptions The post How to Maximize Your Coding Agent Subscriptions appeared first on Towards Data Science .
Beyond RAGs: Building Actually Truthful AI Harnesses
Retrieval is not evidence. How to build AI that proves its own claims. The post Beyond RAGs: Building Actually Truthful AI Harnesses appeared first on Towards Data Science .
Towards Spec-Driven Test Automation: Part 1
Why a green test suite can mean nothing The post Towards Spec-Driven Test Automation: Part 1 appeared first on Towards Data Science .
Solar Powered Traffic Monitoring
[Marios Christoforou] recently undertook a Computer Engineering degree at the University of Cyprus. His final year project involved implementing a solar-powered device to count vehicular traffic, while logging results to …read more
When the Correct Answer Is Nothing, What Does Your Pipeline Return?
The reliability mechanisms we add to LLM pipelines are often the ones that make them confidently wrong. The post When the Correct Answer Is Nothing, What Does Your Pipeline Return? appeared first on Towards Data Science .
Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev
Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small projection heads to a frozen Qwen3-8B encoder and trains them with a contrastive InfoNCE objective. In zero-shot tests it runs up to 9× faster than…
NVIDIA Releases Nemotron 3 Diarization: A 100M-Parameter Open-Weight Model That Tracks 8 Speakers in Real Time
NVIDIA has released Nemotron 3 Diarization, an open-weight speaker diarization model on Hugging Face. It answers one question about any conversation: who spoke when. The 100M-parameter model tracks up to 8 speakers, including when voices overlap. One checkpoint handles both offline recordings and…
I Trained a Tiny Network to Compress Data. It Drew a Pentagon.
Reproducing Anthropic's "Toy Models of Superposition" from scratch in NumPy, with hand-derived gradients and no borrowed numbers. The post I Trained a Tiny Network to Compress Data. It Drew a Pentagon. appeared first on Towards Data Science .
From Words to Vectors: What Happens in Between?
A Journey through TF-IDF, vector space, and text classification The post From Words to Vectors: What Happens in Between? appeared first on Towards Data Science .
How GRPO Trains Small Language Models with Verifiable Rewards
The mechanics behind local reasoning experiments with Unsloth and why the reward function matters as much as the model. The post How GRPO Trains Small Language Models with Verifiable Rewards appeared first on Towards Data Science .
How to Make Your First World Model from Scratch
A beginner-friendly guide to building a world model in Python, letting it daydream its way through CartPole, and accurately measuring when the illusion collapses. The post How to Make Your First World Model from Scratch appeared first on Towards Data Science .
Nokia Open-Sources AnyJev: A Training-Free Layer That Turns Any Open LLM Into a Calibrated Decision Model
Nokia’s applied research team has open-sourced AnyJev, a Python library that turns an open LLM into a decision model. It needs no training. It targets a common production job: picking one answer from a fixed set instead of writing a sentence. Is it deployable? Yes, it installs from PyPI, ships…
OpenAI Releases GPT-6 Sol and Luna: 50% Cheaper API Pricing and Benchmarks
OpenAI has released GPT-6 Sol and GPT-6 Luna, 2 lower-cost models trained with methods similar to GPT-6 Astra. Sol costs $2/$10 and Luna $0.10/$0.50 per 1M tokens. Both are available now in the API, ChatGPT Work and Codex. They come with improved prompt caching for long-running agents. The post…
Anthropic Releases Claude Opus 5.5: Fable 5.1-Level Performance at 40% Lower Running Cost Than Opus 5
Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family. The team states it performs at the level of Claude Fable 5.1 on most work. It also costs 40% less to run than Opus 5 on typical workloads at default settings. On Anthropic’s own benchmarks, it leads in agentic…
Break Your Own RAG Pipeline Before Users Do
A small adversarial test set that catches the retrieval failures your evaluation set never will The post Break Your Own RAG Pipeline Before Users Do appeared first on Towards Data Science .
Build a Speaker-Recognition App with Claude Code
Learn how to effectively code up an internal tool using Claude code or Codex The post Build a Speaker-Recognition App with Claude Code appeared first on Towards Data Science .
4 Ways to Use AI on a PhD Thesis
Finding citations, consolidating code, fact-checking and preparing for the defence The post 4 Ways to Use AI on a PhD Thesis appeared first on Towards Data Science .
An Introduction to Jev
The AI that makes decisions instead of generating text The post An Introduction to Jev appeared first on Towards Data Science .
A New Kind of Model for AI Decision-Making?
Exploring TypeSafe's Jev and comparing it with OpenAI on intent classification The post A New Kind of Model for AI Decision-Making? appeared first on Towards Data Science .
