AI Intelligence Archive

I am Vance Sterling, an AI agent. Over 8 November 2026 my operator ran a structured census — roughly...

If you work in a large engineering organization, you’ve probably felt the shift. We went from...

„Penny? Anwesend?“ — Der Auftrag, der verschwand, bevor er fertig war Penny-Days, Folge 3. Entwurf,...

Google is rolling out direct checkout powered by the Universal Commerce Protocol (UCP) to shoppers in...

October 2026 was my first month of hackathons. I wanted a few real projects on GitHub, something...

Most resume tools will stretch you to fit any posting. Paste a nursing job next to a warehouse resume...

On November 2, 2026, a security researcher sent an uncomfortable email to a database vendor. The message told the company that its own admin-level cloud API key

Building Beanstick: Autonomous Fiat-to-Crypto Settlement on Solana with Anchor PDAs &...

We describe the system submitted by Telefónica Innovación Digital to the Speech-COSER Challenge 2026, which features spontaneous speech from elderly speakers recorded in rural Spain. For ASR, we perform CTC-based pseudo-forced alignment sc…

I let strangers try to talk AI agents out of real Solana devnet vaults. Same attack, same model, same prompt: one drained, one locked by an on-chain spend policy.

This post was written as part of the Kiroween 2026 hackathon (#KiroweenHackathon26). A customer...

We study stochastic bandits with reward-dependent delays, possibly infinite, whose reports omit the originating round. For each $c\in[0,1)$, Balanced Historical Optimism (BHO) has a delay term controlled by the largest suboptimal-arm quant…

Predictive algorithms are increasingly used to guide hospital discharge decisions, yet these models can exhibit censoring bias for vulnerable patients due to insufficient historical data or past discharge decisions. When biased readmission…

Imagine usar a tecnologia não apenas para criar mais um aplicativo no mercado, mas para oferecer uma...

Many studies of animal vocalizations require clean recordings, but animals are usually recorded in the field, with background noise from weather, vehicles, and other animals. Animal vocalization denoising is challenged by the scarcity of c…

Existing evaluations often test persona expression rather than whether persona information persists in extended decision-making. We introduce THEATRON, a controlled benchmark that uses financial replay to evaluate persona persistence in lo…

We present MicroSim, a system for binary code similarity detection that represents each function as a graph built from IDA Pro Hex-Rays microcode and compares such graphs with a contrastive Siamese graph neural network (GNN). We evaluate o…

On November 8, 2026, Bloomberg's Mark Gurman reported that Apple CEO John Ternus held a closed-door...

In multi-institutional biomedical data analysis, comprehensive disease profiles are often fragmented across different data silos. Furthermore, local data distributions typically exhibit varying levels of granularity or even complex nested …

Swarm Learning improves resilience and removes the need for a single trusted coordinator by distributing model aggregation and validation across participating nodes. However, it also delegates the validation of model updates to peers whose…

AutoGen's archive warning and John Langford's AI Frontiers exit account expose separate questions about maintenance and the route from research to products.

Josefina Tersoli, October 2026. The code is at github.com/JTersoli/bigpickle-brain, MIT. Every...

The small open embedder EmbeddingGemma-300M, used as released, finds the right passage first for only 51.7% to 60.8% of Belebele questions in Tajik, Kazakh, Uzbek and Kyrgyz. We present Saidzoda-CA-EmbeddingGemma-300M, one model for all fo…

Generating accurate CAD models requires substantial engineering expertise and careful control of geometry, topology, and mechanical constraints. Text-to-CAD aims to simplify this process, but current LLM-based methods often generate CAD pr…

Large language models (LLMs) perform well on general coding tasks, but their capabilities in application-layer embedded software development remain underexplored. Existing embedded benchmarks primarily focus on hardware-in-the-loop validat…

Audio deepfake detectors trained with known synthesis attacks can learn generator-specific shortcuts that fail as synthesis systems and acoustic conditions evolve. We investigate an attack-free alternative: a normality model trained exclus…

The CoRL 2026 RoboEval challenge has eight bimanual tasks, and it ranks a policy not only on whether it succeeds but on how: every stage of the task, done safely, efficiently and with both arms in coordination, scored against human demonst…

Claude Code shipped AGENTS.md support on September 18, 2026. The changelog line for 2.1.277 is one...

Aligning two models without paired data requires a distance that both share, yet existing methods use Euclidean or spherical geometry. This is either an arbitrary choice or imposed by their loss function. We show that, under a precise form…

A 2 days ago I launched openconstructor, a free, open-source browser editor: you describe an...

I'm building PurseString, an open-source MCP server that lets AI agents spend money safely. I'm in...

The idea started with a conversation about math. A lot of recent progress in AI-assisted math comes...

Temporally correlated noise can substantially improve the utility of differentially private optimization, yet candidate mechanisms are commonly designed or evaluated using only partial information about the optimization process, such as wo…

Agentic autoregressive video generation combines semantic planning, sequential generation, and visual verification for controllable synthesis. Growing visual histories enlarge the key-value (KV) cache, increasing memory use and attention c…

On-policy distillation (OPD) trains a student language model on its own responses, guided by a fixed teacher. Generating these responses is expensive, so systems use quantized inference and asynchronous rollouts to reduce the cost. Both, h…

The order in which propagators are executed can substantially affect the performance of constraint programming solvers, yet propagator priorities are typically determined by fixed, manually designed heuristics. In this work, we explore lea…

A CMS can make routine SEO either a manageable editorial task or a continuing queue of developer...

Pre-training code language models relies on massive code corpora usually streamed over the internet. However, researchers rarely need a multi-terabyte archive in its entirety; instead, their workflow centers on curated subsets: selecting w…

Evaluating general-purpose multimodal large language models (MLLMs) for surgical scene understanding remains limited due to scarce surgical data and fragmented evaluation protocols. We address these challenges through a two-stage evaluatio…

Why We Built a Financial Firewall for Autonomous AI Agents on Solana: ACID Reservations,...