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Vercel AI Gateway now offers Jev, a probabilistic decision model that returns typed choices, scores, and booleans instead of raw text. TypeSafe AI reports it runs up to 193× faster and 445× cheaper than standard LLMs, exposed via the experimental evaluate API in AI SDK 7.
Snapdrop is a web-based tool for instantly sharing files between devices without requiring any setup or signup. Users open the web app on multiple devices to facilitate direct file transfers.
Canonical announced Zephyr 26.04 LTS, an enterprise‑grade RTOS with up to 15 years of security updates and built‑in OTA support via Golioth. It’s delivered through Ubuntu Pro for Devices and includes a containerized development environment to simplify MCU firmware builds.
Cross‑corpus study of gaze behavior in two collaborative dialogue datasets (MapTask, MUNDEX) shows that task‑aligned references correlate with more task‑directed, less partner‑directed gaze, lower entropy and fewer transitions. Temporal gaze features (MapTask) and raw proportion features (MUNDX) modestly improve grounding prediction over baselines, but effects are small and diminish when aggregat…
The authors show that training LLM reviewers on synthetic reviews leads to a compression of rating distributions and loss of semantic diversity, a phenomenon they call scientific-judgment collapse. They mitigate it with TrustReviewer, which uses curated training data and activation steering to preserve judgment diversity.
PANORAMA introduces a VLM that grounds each phrase of a caption to pixel masks by selecting from a phrase‑conditioned pool of mask proposals, trained jointly with caption generation. It sets a new benchmark on the PanoCaps dataset and outperforms prior methods on several pixel‑level grounding tasks.
Sigabrt.dev offers a simple cron‑job heartbeat service: you add a curl to your script, and the service notifies you via email/ntfy if the ping is missed. It also provides an SSH‑based terminal UI to view endpoint status.
The post introduces the Consistency Analyzer, a cheap black‑box diagnostic that flags flip‑prone decision steps in LLM agent traces, and shows how feeding the resulting consistency guidelines back into ALTK‑Evolve halves the gap between mean success and all‑run success (Pass⁵) on the AppWorld benchmark without hurting average accuracy.
Jev is a "System One" AI model focused on classification, providing calibrated probabilities for predefined answers rather than generating text. This article demonstrates its use with the Laravel AI SDK to replace complex rule-based systems for detecting spam and auto-replies in a helpdesk application.
This paper introduces a training-adaptive Convolutional Sparse Coding (CSC) framework where the sparsity coefficient is learned end-to-end via FISTA unfolding. It uses an information bottleneck perspective to balance representation compression and content preservation, showing improved robustness to input perturbations on CIFAR and ImageNet.
Retrieve-for-Train addresses LLM inference bottlenecks in complex AI search by using offline reinforcement learning to train a lightweight diffusion model. This enables efficient, single-pass generation of diverse, property-aligned sub-queries, bypassing slow autoregressive reasoning.
The paper introduces TeleAntiFraud 2.0, a monthly refreshed, frozen audio benchmark of 900 Chinese telecom calls (600 fraud, 300 near‑domain non‑fraud) built with a Mixed‑Tree generation pipeline. Experiments show models that score perfectly on unrelated negatives fall to ~0.66 Macro‑F1 on near‑domain cases, exposing shortcut learning and prediction collapse.
Distill frozen world‑model features into a Vision‑Language‑Action policy via a single alignment loss; no teacher at train time, no extra runtime cost. 0.8 B student runs 32 ms / 1.86 GB on RTX 5090, hits 97.9 % on LIBERO and improves RoboCasa‑GR1 from 48.2 % to 50.5 %, with transfer to real single‑arm and bimanual robots.
