Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
New research reveals that EU copyright law, which protects creative essence beyond verbatim copying, outpaces current AI safeguards. The PSALM framework evaluates LLM outputs for stylistic and narrative similarities, exp…
G2 published a comparison of the best AI coding assistants for 2026, evaluating tools like GitHub Copilot, Cursor, Claude, and Replit beyond simple autocomplete. The analysis covers codebase understanding, context switch…
A developer compares AI coding token plans from major providers in 2026, analyzing pricing, features, and suitability for different use cases. The analysis covers plans from OpenAI, Anthropic, and Google, highlighting tr…
A developer built Abstractions, a tool that indexes codebases and sends weekly newsletters explaining code functionality to teams, using AI models from Anthropic and OpenAI. The tool is free, does not store actual code, …
A developer introduces agentic data engineering, a practice where autonomous AI agents design, build, and maintain data pipelines from natural-language intent, shifting from manual coding to specifying goals and reviewin…
NVIDIA released Nemotron-Labs-TwoTower, an open-weight diffusion language model that separates token representation and denoising into two towers, achieving 2.42× higher generation throughput while retaining 98.7% of the…
Researchers introduced LoFa, a new benchmark to evaluate large language models' resistance to logical fallacies, revealing inconsistent robustness across models. The study highlights the risk of deploying AI systems vuln…
Researchers introduced CORTEX, a new method for detecting hallucinations in AI-generated text at the token level within Retrieval-Augmented Generation (RAG) systems. By analyzing internal model representations with and w…
Users are experiencing delays and stability issues with Claude's command classifier since this morning. The classifier is briefly unavailable, and the claude-opus-4-8 model is temporarily unavailable for PR inspection, p…
A developer argues that traditional QA roles are being automated by AI, with the developer-to-QA ratio shifting from 3:1 in 2015 to 10:1 in 2025. AI tools like GitHub Copilot, Cursor Agent, and Kiro can now generate test…
Google's Chrome Auto-Browse, which acts on websites by filling forms and completing tasks, launched on Android in late June, while Apple's Siri AI, introduced at WWDC on June 8, only reads web content to answer questions…
Developer abhavk released Erlangchain, a minimal Erlang client for LLMs with zero third-party dependencies, supporting OpenAI and Anthropic APIs, tool use, and multimodal inputs. The open-source library provides a simple…
Google Research introduced TabFM, a foundation model for tabular data that performs zero-shot classification and regression without dataset-specific training. The model uses a hybrid-attention architecture combining TabP…
Anthropic's Fable 5 is back on the global market after a two-week ban by the US government over a jailbreak exploit discovered by Amazon researchers. Anthropic claims smaller models like Claude Haiku 4.5 could also execu…
DeepReinforce released Ornith 1.0, an open-source AI model for agentic coding that writes its own scaffolding during training. Unlike traditional reinforcement learning setups, the model proposes improved scaffolds befor…
The US Commerce Department lifted export controls on Anthropic's Claude Fable 5 and Mythos 5 models, ending a three-week freeze that had pulled the models offline. The reversal came after Anthropic agreed to proactively …
Researchers introduced Modality-Agnostic Refusal Steering (MARS), a method that uses text-based refusal strategies to enhance safety in multimodal language models without requiring unsafe multimodal data. Evaluations acr…
Researchers have developed a new framework for detecting backdoor attacks in large language models, addressing the challenge of discrete input spaces. The framework introduces Class Subspace Orthogonalization (CSO) to en…
Researchers have developed a failure-driven self-improvement loop for AI training that leverages failed trajectories to boost performance, challenging the traditional focus on successes. The approach improved the OpenCUA…
A new unified AI model integrates textual reasoning and graph processing into a single masked diffusion language model, outperforming graph neural networks, graph transformers, and LLM-based baselines by up to 3.9 points…