cartero Wednesday, August 12, 2026 · No. 25926
OpenAI

The Download: how the World Cup ball will fly and OpenAI’s “super app”

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Why this year’s World Cup ball may not fly as far Much is new about this month’s FIFA World Cup tournament. It hosts more teams than ever before. It’s the first…

AI Coding Tools

Spec-Driven Development (SDD) — best practices (so far)

The traditional approach of working with current large language models (LLMs) through free-form conversations (a.k.a. vibe coding) typically leads to: accumulation of technical debt, architectural inconsistency, unmet requirements, gradual model drift away from our intent (a.k.a. intent drift). What if there were a way to tame the pain points of coding agents and actually boost our productivity? The answer to the limitations of current LLMs in autonomous software development is Spec-Driven De...

PostgreSQL

Stefanie Janine Stölting: pgsql_tweaks Version 1.0.3 Released

pgsql_tweaks is a bundle of functions and views for PostgreSQL Changes In The pgsql_tweaks 1.0.3 Release pgsql_tweaks is a bundle of functions and views for PostgreSQL The source code is available on Codeberg. The extension is also available on PGXN. The extension is also availabe through the PostgreSQL rpm packages. Changes In The pgsql_tweaks 1.0.3 Release This release has been tested against PostgeSQL 19 beta 1 which was released on June 4 2026. All tests against this new have bee...

LLM Evaluation

Cannibalism

Linux Kernel

Christophe Pettus: All Your GUCs in a Row: data_sync_retry

data_sync_retry is a boolean, it defaults to off, and its context is postmaster so changing it needs a restart. You will almost certainly never change it. It exists as the visible scar tissue from the single most unsettling thing the PostgreSQL community ever learned about its own durability assu…

Computational Complexity

Alternative Inductive Proof of Dilworth's Theorem

arXiv:2606.06513v1 Announce Type: new Abstract: Several elegant inductive proofs of Dilworth's theorem can be found in the literature. In this note, I present another inductive proof with an algorithmic flavor based on a merging lemma.

Graphics and Rendering

Differentiable 3D Triangle-Triangle Intersection Energy

arXiv:2606.06511v1 Announce Type: new Abstract: Obtaining intersection-freeness or global injectivity is important in computer graphics. However, it is challenging, especially for the non-oriented deformation primitives. Most methods often rely on an intersection-free initialization and track the continuous trajectory to keep the legitimacy and cannot be used for the task without such an initialization. For the latter one in 3D space, we introduce a novel second-order differentiable energy d...

GPU and Parallel Computing

FP8 is All You Need (Part 1): Debunking Hardware FP64 as the HPC Holy Grail

arXiv:2606.06510v1 Announce Type: new Abstract: Conventional HPC dogma holds that native hardware FP64 silicon is the irreducible foundation of scientific computing -- the "holy grail" of double-precision simulation. This paper argues the dogma is wrong: on AI-optimised GPUs of the B300 generation and beyond, abundant FP8 tensor throughput combined with the Chinese Remainder Theorem-based Ozaki Scheme II recovers memory-roof execution at full FP64 accuracy across the canonical HPC kernel spe...

Graphics and Rendering

Compatibility and Accuracy Verification of CADmesh-Based Complex Geometry Modeling in Geant4

arXiv:2606.06508v1 Announce Type: new Abstract: Geant4 Monte Carlo simulation relies on the Constructive Solid Geometry (CSG) method for complex geometric modeling. This method has low efficiency and a high application threshold. Importing triangular facet formats such as STL/OBJ via CADmesh is a promising alternative, but systematic evaluations of format compatibility, geometric accuracy, and physical simulation deviations are lacking. Construct open-source experimental environment based on...

RAG

Subtle Injection for Ground-truth Inference of LLM Training Data

arXiv:2606.06502v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly trained on scraped web corpora without authorisation, content owners require forensic methods to prove that their documents were included in a model's training set. We propose \textbf{SIGIL} (\textbf{S}ubtle \textbf{I}njection for \textbf{G}round-truth \textbf{I}nference of \textbf{L}LM training data), a framework that embeds imperceptible \emph{canary sequences} into protected text and code such...

Artificial Intelligence

Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance

arXiv:2606.06501v1 Announce Type: new Abstract: The advancement of malware poses obstacles for cybersecurity, necessitating the development of advanced detection techniques. This paper proposes an approach to enhance malware detection through the use of a generative artificial intelligence model. Specifically, variational autoencoders (VAEs) are used with the random forest, XGBoost and sequential model machine learning classifiers. Generated synthetic malware samples are used to address the ...

Generative AI

Semantic-Structural Alignment for Generative Pictorial Charts

arXiv:2606.06498v1 Announce Type: new Abstract: Traditional statistical graphics are precise but often lack the visual appeal, memorability, and engagement of pictorial charts. We present a generative framework for the automated synthesis of pictorial charts that bridges the gap between semantic expression and structural faithfulness. Rather than treating charts merely as images to be stylized, we frame the problem as a dual-conditioned generation task guided by two parallel external control...

Generative AI

Real-Time AttentionBender: Granular Interactive Network Bending of Video Diffusion Transformers

arXiv:2606.06497v1 Announce Type: new Abstract: Generative video models have achieved remarkable visual fidelity, yet their prompt-only interface offers thin creative agency and obscures the model's material process from the artists working with it. We present Real-Time AttentionBender, a tool that extends the practice of network bending across the full depth of the video diffusion transformer (DiT) and brings it into live, interactive generation. Built as a plugin within the DayDream Scope ...

Linux Kernel

Entropy

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