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◬ AI & Machine Learning Apr 01, 2026
Differential Privacy for Symbolic Trajectories via the Permute-and-Flip Mechanism

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
GUARD-SLM: Token Activation-Based Defense Against Jailbreak Attacks for Small Language Models

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
SkillTester: Benchmarking Utility and Security of Agent Skills

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
SafeClaw-R: Towards Safe and Secure Multi-Agent Personal Assistants

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 Security Read →
◬ AI & Machine Learning Apr 01, 2026
Design and Development of an ML/DL Attack Resistance of RC-Based PUF for IoT Security

arXiv:2603.28798v1 Announce Type: new Abstract: Physically Unclonable Functions (PUFs) provide promising hardware security for IoT authentication, leveraging inherent randomness suitable for resource …

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-extract 0.3a0

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…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-enrichments-llm 0.2a0

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…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-llm-usage 0.2a0

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…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-llm 0.1a5

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…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
Quoting Soohoon Choi

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…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
Supply Chain Attack on Axios Pulls Malicious Dependency from npm

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…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
datasette-llm 0.1a4

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…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
llm-all-models-async 0.1

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…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
llm 0.30

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.…

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
Build with Veo 3.1 Lite, our most cost-effective video generation model

Veo 3.1 Lite is now available in paid preview through the Gemini API and for testing in Google AI Studio.

Google AI Read →
◬ AI & Machine Learning Mar 31, 2026
llm-echo 0.4

Release: llm-echo 0.4 Prompts now have the input_tokens and output_tokens fields populated on the response. Tags: llm

Simon Willison Read →
◬ AI & Machine Learning Mar 31, 2026
AI benchmarks are broken. Here’s what we need instead.

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…

MIT Tech Review AI Read →
◬ AI & Machine Learning Mar 31, 2026
Shifting to AI model customization is an architectural imperative

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…

MIT Tech Review AI Read →
◬ AI & Machine Learning Mar 31, 2026
TRL v1.0: Post-Training Library Built to Move with the Field
Hugging Face Read →
◬ AI & Machine Learning Mar 31, 2026
Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents
Hugging Face Read →
◬ AI & Machine Learning Mar 31, 2026
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 - Analytics Insight

Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Analytics Insight

Analytics Insight Read →
◬ AI & Machine Learning Mar 31, 2026
llm-echo 0.3

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

Simon Willison Read →
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