Saturday, October 17, 2026

I am very pleased to announce that, after a long hiatus, Perseid 0.1.0, a set of utilities for versioning PostgreSQL database schemas, has been released. Perseid 0.1.0 is available from: Codeberg Git repository: https://codeberg.org/perseas/perseid Documentation is available at: https://perseas.codeberg.page/perseid/ Perseid is the successor to Pyrseas .

• Read the full item at PostgreSQL News.

I’m pleased to announce the first public release of pglifecycle , an open source schema management tool for PostgreSQL. pglifecycle keeps your database schema in version control as structured YAML, with one file for each table, view, function, role, and other object.

• Read the full item at PostgreSQL News.

At Percona Live Europe 2026, Dmitry Lenev and I presented JavaScript in My Database? Over My Dead Query, the story of component_js_lang, the V8-based JavaScript engine for Percona Server for MySQL 8.4.

• Read the full item at Percona Blog.

Sooner or later, someone on the team reads about write skew. It is an unsettling read: two transactions, each correct on its own, each looking at data the other is about to change, both committing, and the database ending up in a state that no ordering of the two could have produced.

• Read the full item at Planet PostgreSQL.

arXiv:2610.20669v1 Announce Type: new Abstract: Reward-guided discrete diffusion enables test-time alignment with downstream objectives, but applying Sequential Monte Carlo (SMC) guidance at every denoising step is computationally expensive. Active guidance steps require additional reward evaluations and, for gradient-based proposals, value-gradient computations.

• Read the full item at arXiv cs.AI.

arXiv:2610.20675v1 Announce Type: new Abstract: Agents pair reasoning models with harnesses that organize model calls, execute tools, load skill instructions, and retain history in memory. Understanding agent performance requires linking execution conditions to outcomes, behavior, and resource use.

• Read the full item at arXiv cs.AI.

arXiv:2610.20867v1 Announce Type: new Abstract: We present a general declarative framework for anticipatory reasoning about interactive motion in complex dynamic environments. Our focus is on (explainable) anticipatory space-time mental model formation at a semantic level to heuristically guide low-level motion computation.

• Read the full item at arXiv cs.AI.

arXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains challenging due to the high cost of interactive environments and the scarcity of realistic training tasks. We introduce MAI-Gym, an open all-in-one platform that unifies GUI agent…

• Read the full item at arXiv cs.AI.

arXiv:2610.20951v1 Announce Type: new Abstract: Decision models answer typed questions about an input with one probability per option, computed in a single forward pass without generating text. Like the fast System 1 of dual-process theory, they answer at once, but their depth is fixed at training time, so they spend the same computation on easy and hard questions.

• Read the full item at arXiv cs.AI.

Changes since langchain-openai==1.7.1 release(openai): 1.7.2 ( #41245 ) fix(openai): keep Responses stream items on one block when output_index drifts ( #41121 )

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arXiv:2610.20780v1 Announce Type: new Abstract: In LLM-based multi-agent systems (MAS), a local mistake can propagate as other agents build on it, turning a correctable error into a failed task. Diagnosing completed runs or repeatedly re-executing them to search for corrections does not provide a learned policy for intervening while execution is still in progress.

• Read the full item at arXiv cs.AI.

arXiv:2610.20809v1 Announce Type: new Abstract: A self-improving agent has to decide which new skills to keep, and in practice it keeps whatever earns a high reward, convinces a judge model, or compresses its library, even when the skill is wrong. That is fine until the answers have to be exactly right: over a table of transactions, a total is either right or wrong.

• Read the full item at arXiv cs.AI.

arXiv:2610.20960v1 Announce Type: new Abstract: Safety in agentic systems is inherently sequential: whether an action is safe depends on prior actions, tool outputs, information disclosures, and interactions among agents. Recent work has shifted agent safety guardrails from post-hoc trajectory-level assessment toward step-level action diagnosis and proactive risk prediction, yet existing training…

• Read the full item at arXiv cs.AI.

Today, AWS announced the general availability of application code conversion from Azure SDK to AWS SDK in AWS Transform, giving you an accelerated path to migrate Microsoft Azure cloud-native .NET applications to AWS. The AWS Transform .NET modernization agent identifies Azure service code and converts it to equivalent AWS service code.

• Read the full item at AWS What's New.

For blockchain node operators running Ethereum or Solana, AWS is announcing Blockchain Snapshots on AWS, an initiative that publishes pre-synced public blockchain node chain data in Amazon Simple Storage Service (Amazon S3) so you can bootstrap a node from a snapshot instead of peer-to-peer syncing from the network. These snapshots are hosted on Amazon S3 within AWS infrastructure, enabling…

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AWS Lambda durable functions are now available in the AWS GovCloud (US-West) and AWS GovCloud (US-East) Regions. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience.

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NVIDIA's Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This vision-language model from the Nemotron 3.5 family accepts images, video, and text as input and generates text, enabling customers to deploy multimodal AI solutions on AWS infrastructure.

• Read the full item at AWS What's New.

Beam, the first open weight model offered by US-based Reflection, is now available in Amazon SageMaker JumpStart, the model hub in Amazon SageMaker AI. According to Beam, they operate at the frontier of open weight models in its class, with strong performance across reasoning, coding, and agentic benchmarks.

• Read the full item at AWS What's New.

Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup and no console navigation required. Previously, new customers who discovered a model on Hugging Face or an AWS product page had to complete a multi-step AWS account creation process, provide a credit card,…

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Amazon Elastic Compute Cloud (Amazon EC2) T8i instances are now available in South America (São Paulo). These instances are powered by custom sixth generation Intel Xeon 6 processors, available exclusively on AWS, and built on the latest sixth generation AWS Nitro cards.

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Amazon Time Sync Service introduces support for microsecond-accurate time on 135 additional EC2 instance types—spanning 12 instance families—in all commercial regions. Built on Amazon's proven network infrastructure and the AWS Nitro System, microsecond-accurate time and nanosecond-precision hardware timestamps leverage the reference clocks running in the Nitro System directly, enabling customers…

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Cursor plugin specification and official plugins Cursor plugins Official Cursor plugins for popular developer tools, frameworks, and SaaS products. Each plugin is a standalone directory at the repository root with its own .cursor-plugin/plugin.json manifest.

• Read the full item at GitHub Trending (daily).

Official, Anthropic-managed directory of high quality Claude Code Plugins. https://code.claude.com/docs/en/plugins Claude Code Plugins Directory A curated directory of high-quality plugins for Claude Code.

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The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews.

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arXiv:2610.20921v1 Announce Type: new Abstract: Most debate about releasing capable AI systems treats the choice as binary: keep the model behind an API, or publish the weights. That framing runs together two separate decisions.

• Read the full item at arXiv cs.AI.

arXiv:2610.20676v1 Announce Type: new Abstract: Correctness feedback suppresses the very evidence that specification-completeness auditing is designed to uncover: programs that satisfy a written contract but violate intended behavior. We demonstrate this objective reversal on 12 Verus/Rust tasks across four model families under matched call budgets.

• Read the full item at arXiv cs.AI.

arXiv:2610.20679v1 Announce Type: new Abstract: Representation-based safety defenses for vision-language models (VLMs) often learn to separate harmful from benign inputs, but separation alone does not establish what a risk score means or when it should be trusted. We introduce Counterfactual Neighborhood Risk Fields (CNRF), an evidence-grounded framework for selective VLM safety.

• Read the full item at arXiv cs.AI.

arXiv:2610.20764v1 Announce Type: new Abstract: This paper challenges the understanding capabilities of existing AI paradigms and emerging world models by asking a fundamental question: How quickly can reality change before an intelligent system can no longer reliably perceive, reason, and act? We formulate this as a theory- and model-agnostic challenge in which systems must infer reliable…

• Read the full item at arXiv cs.AI.

arXiv:2610.20922v1 Announce Type: new Abstract: Compositional structure is pervasive in nature and across scales: atoms combine into molecules, molecules into cells, and cells into organisms, while further compositional hierarchies appear within each level. More broadly, compositionality, the reuse and recombination of parts into novel structures, is a fundamental source of interesting complexity…

• Read the full item at arXiv cs.AI.

arXiv:2610.20935v1 Announce Type: new Abstract: Engineering agents must produce artifacts that satisfy exact, coupled constraints. Existing solutions often require agents to make semantic decisions and also derive consequences such as precise geometry or timing from those decisions, leading to failures in constraint-governed engineering tasks.

• Read the full item at arXiv cs.AI.

arXiv:2610.20845v1 Announce Type: new Abstract: Skill-policy co-evolution, in which an agent's policy model and its skill bank improve each other during training, is a promising paradigm for self-improving agents. Current evaluations score the co-evolved policy on the final bank it trained with (the delivered bank).

• Read the full item at arXiv cs.AI.