A new study finds that backdoor triggers in large language models often fail to reach the model due to context pipeline preprocessing, invalidating many robustness evaluations. In about 1 million tria…
Neuronpedia announced the J-space, a global workspace in AI models revealed by Jacobian lens, and added support for 11 more models. The feature allows users to see hidden reasoning in AI, with pre-fit…
A study comparing aligned and refusal-ablated (abliterated) large language models from the Gemma and Qwen families found that abliterated models outperformed aligned models in vulnerability analysis t…
A developer evaluated Google's Gemma model for local AI inference in African tech contexts, finding it practical and cost-effective for startups with limited hardware. The developer built a minimal Go…
Crusoe launched Serverless Fine-Tuning and Self-Serve Deployments for its Intelligence Foundry, enabling organizations to fine-tune and deploy open AI models with granular control and cost efficiency.…
Ukraine will prioritize self-hosted AI models for government, business, and military use to maintain control over infrastructure and data, according to a Reuters report. The policy aims to reduce reli…
Ukraine will prioritize AI systems that can be self-hosted on its own servers to avoid dependence on providers who could restrict or cut access, a senior official said Tuesday. The policy, reinforced …
Hermes now connects to Nvidia's Nemotron model via OpenRouter for free, allowing users to set it as a primary or fallback model for AI agents. The integration supports both free and paid models, thoug…
Mulot, an open-source AI agent framework, uses open-weights LLMs like GLM-5.2 to drive a headless Chromium browser with a Burp-style toolkit, achieving 87% on OverTheWire Natas and 73% on Root-Me Web-…
Open-weight LLMs like Meta's Llama 3, Mistral's Mixtral, and Google's Gemma are democratizing AI access. A developer shows how to integrate these models via API using the OpenAI-compatible spec, with …
Two experimental AI trading bots earned promotion after four weeks of testing, while two new bots flopped with 41.5% and 30.8% accuracy, according to a developer's prediction log published on July 4, …
Glad Labs fixed a GPU pinning issue where LiteLLM 1.89.2's global api_base override prevented per-model routing, causing vision tasks to cold-load onto the wrong GPU. The team also hardened content gu…
Glad-Labs retired its Gen-1 TopicDiscovery orchestrator, cutting nearly 900 lines of legacy code and collapsing logic into a single topic path. The team also fixed a GPU lock deadlock that caused invi…
Google Cloud introduced a multi-node KV cache offloading solution using GKE and Managed Lustre for large language model inference, achieving over 50% TCO savings and nearly 60% reduction in GPU-hour r…
DeepSeek launched DSpark, an open-source speculative decoding module that boosts AI inference speed by up to 400% on existing chips, potentially reducing demand for Nvidia's high-end accelerators. The…
Chinese AI firm DeepSeek open-sourced DSpark, a speculative decoding system that accelerates large language model inference by up to 85% without altering output quality, releasing it under the MIT lic…
HackerRank open-sourced its AI résumé screener, hiring-agent, revealing that the same résumé scores between 66 and 99 across runs due to LLM nondeterminism, not parsing errors. The volatility means a …
Privatewhisper.ai launched a private AI voice dictation tool that runs on-device, in a hardware-secured enclave, or via anonymous cloud processing, with no account required and audio never stored or t…
HackerRank open-sourced its applicant tracking system (ATS) scoring tool, but testing reveals extreme score variability—ranging from 66 to 99 on the same resume—due to LLM non-determinism. The tool's …
Ollama provides a tool for running large language models locally on macOS, Linux, and Windows without requiring an API key or cloud service. The tool packages model weights, a runtime based on llama.c…