arXiv:2603.28903v1 Announce Type: new Abstract: Privacy techniques have been developed for data-driven systems, but systems with non-numeric data cannot use typical noise-adding techniques. Therefore,…
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arXiv:2603.28903v1 Announce Type: new Abstract: Privacy techniques have been developed for data-driven systems, but systems with non-numeric data cannot use typical noise-adding techniques. Therefore,…
arXiv:2603.28838v1 Announce Type: new Abstract: Intrusion Detection System (IDS) is often calibrated to known attacks and generalizes poorly to unknown threats. This paper proposes GMA-SAWGAN-GP, a no…
arXiv:2603.28824v1 Announce Type: new Abstract: Dataset condensation aims to synthesize compact yet informative datasets that retain the training efficacy of full-scale data, offering substantial gain…
arXiv:2603.28817v1 Announce Type: new Abstract: Small Language Models (SLMs) are emerging as efficient and economically viable alternatives to Large Language Models (LLMs), offering competitive perfor…
arXiv:2603.28815v1 Announce Type: new Abstract: This technical report presents SkillTester, a tool for evaluating the utility and security of agent skills. Its evaluation framework combines paired bas…
arXiv:2603.28807v1 Announce Type: new Abstract: LLM-based multi-agent systems (MASs) are transforming personal productivity by autonomously executing complex, cross-platform tasks. Frameworks such as …
arXiv:2603.28798v1 Announce Type: new Abstract: Physically Unclonable Functions (PUFs) provide promising hardware security for IoT authentication, leveraging inherent randomness suitable for resource …
Release: datasette-extract 0.3a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, using the…
Release: datasette-enrichments-llm 0.2a0 This plugin now uses datasette-llm to configure and manage models. This means it's possible to specify which models should be made available for enrichments, u…
Release: datasette-llm-usage 0.2a0 Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant . Now depends on datasette-llm for model configur…
Release: datasette-llm 0.1a5 The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call…
I want to argue that AI models will write good code because of economic incentives. Good code is cheaper to generate and maintain. Competition is high between the AI models right now, and the ones tha…
Supply Chain Attack on Axios Pulls Malicious Dependency from npm Useful writeup of today's supply chain attack against Axios, the HTTP client NPM package with 101 million weekly downloads . Versions 1…
Release: datasette-llm 0.1a4 Ability to configure different API keys for models based on their purpose - for example, set it up so enrichments always use gpt-5.4-mini with an API key dedicated to that…
Release: llm-all-models-async 0.1 LLM plugins can define new models in both sync and async varieties. The async variants are most common for API-backed models - sync variants tend to be things that ru…
Release: llm 0.30 The register_models() plugin hook now takes an optional model_aliases parameter listing all of the models, async models and aliases that have been registered so far by other plugins.…
Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio.
Release: llm-echo 0.4 Prompts now have the input_tokens and output_tokens fields populated on the response. Tags: llm
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI mod…
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into inc…
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Analytics Insight
Release: llm-echo 0.3 Mechanisms for testing tool calls . #3 Mechanism for testing raw responses . #4 New echo-needs-key model for testing model key logic . #7 Tags: llm