All entries

Jose Antonio Lanz / Decrypt: Anthropic rolls out identity verification that may require Claude users to provide a government-issued photo ID and live selfie to access “certain capabilities” — Anthropi

Anthropic PBC is making it easier to automate tasks using Claude Code without relying on autonomous artificial intelligence agents with the launch of a new service called “routines.” The routines allo

This Reddit post from r/StableDiffusion seeks community advice on optimal generation settings for using a character LoRA built on the FLUX.2 Klein model, which is a compact 4B–9B parameter model suite

ARC-AGI-3 is a new benchmark iteration designed so that any intelligent human applying genuine effort should achieve greater than 90% accuracy, maintaining the benchmark's core principle that tasks mu

This Reddit thread discusses the compatibility issues users face when attempting to run Ollama on macOS Big Sur (11.x), as recent versions of Ollama have shifted their minimum requirements — the curre

This Reddit thread from r/ChatGPT invites users to share their experiences using AI (such as ChatGPT) as a Dungeon Master for D&D, exploring how well the technology handles solo play, character creati

arXiv:2604.11950v1 Announce Type: cross Abstract: While recent LLM-based agents can identify many candidate bugs in source code, their reports remain static hypotheses that require manual validation,

Mark Gurman / Bloomberg: Apple endorses the ~$11.6B Amazon-Globalstar deal, citing a “proven track record” with Amazon infrastructure; Apple holds a ~20% stake in Globalstar — Amazon.com Inc.'s takeov

ARC-AGI-3 has the lowest human bar of any AI benchmark out there. Almost all benchmarks require specialized knowledge that make them inaccessible to 99%+ of humans (like, say SWE-Bench). ARC-AGI-3 is

This r/MachineLearning discussion examines a growing concern in the AI and gaming community: that certain video game 'simulators' may be deliberately designed — or repurposed — to harvest player actio

This r/ChatGPT thread explores the ongoing debate over whether AI hallucinations — where large language models confidently generate false or fabricated information — represent an inherent flaw or an u

arXiv:2603.10652v2 Announce Type: replace-cross Abstract: In real-world deployment, vision-language models often encounter disturbances such as weather, occlusion, and camera motion. Under such condit

arXiv:2604.12255v1 Announce Type: cross Abstract: Dynamic facial expression recognition in the wild remains challenging due to data scarcity and long-tail distributions, which hinder models from effec

arXiv:2604.12762v1 Announce Type: cross Abstract: We introduce ARGOS, the first benchmark and framework that reformulates multi-camera person search as an interactive reasoning problem requiring an ag

arXiv:2509.25749v2 Announce Type: cross Abstract: Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions a

Six-month-old cybersecurity startup Artemis Global Technologies Inc. today disclosed that it has raised 70 million in funding. The capital arrived in two tranches. Felicis led the largest of the two t

Sharon Goldman / Fortune: Artemis, which aims to replace rule-based cybersecurity systems with an AI-driven centralized “brain”, emerges from stealth with a $70M Series A led by Felicis — Artemis, a n

arXiv:2604.12251v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) delivers high-fidelity real-time rendering but suffers from geometric and photometric degradations under sparse-view constr

arXiv:2604.12857v1 Announce Type: new Abstract: Autonomous vehicles (AVs) are now operating on public roads, which makes their testing and validation more critical than ever. Simulation offers a safe

As someone who teaches at a business school, I can tell you that the pre-professional student population (as opposed to liberal arts or those pursuing academia or a topic of personal excitement) is ex

arXiv:2509.25843v2 Announce Type: replace Abstract: Large language models (LLMs), despite being safety-aligned, exhibit brittle refusal behaviors that can be circumvented by simple linguistic changes.

Joanna Glasner / Crunchbase News: Asia's startup funding rose 93% YoY to 27.4B in Q1, the highest quarterly total in 3+ years, with Chinese startups raising 16.5B and Indian startups $3.8B — Asia's st

Arjun Kharpal / CNBC: ASML reports Q1 net sales of €8.8B, above €8.5B est., a €2.8B net profit, above €2.5B est., and raises 2026 net sales forecast to €36B to €40B from €34B to €39B — ASML raised its

Sarah Jacob / Bloomberg: ASML says South Korea surpassed China as its largest market in Q1 2026, with shipments hitting 45% of net system sales, or €2.84B, up from 22% in Q4 2025 — South Korea emerged

arXiv:2510.01186v2 Announce Type: replace Abstract: While existing video editing methods excel with single subjects, they struggle in dense, multi-subject scenes, frequently suffering from attention d

arXiv:2604.12274v1 Announce Type: new Abstract: A class of planar bipedal robots with unique mechanical properties has been proposed, where all links are balanced around the hip joint, preventing natu

A Reddit post on r/ChatGPT expressing long-standing user frustration with ChatGPT's audio playback functionality, including issues with the 'Read Aloud' feature such as audio looping, stopping mid-pla

arXiv:2604.12480v1 Announce Type: cross Abstract: In Gaussian model-based multichannel audio source separation, the likelihood of observed mixtures of source signals is parametrized by source spectral

Quantum computing is emerging as a practical complement to traditional supercomputing, with early applications in optimization, machine learning and complex simulation now moving from theory into real

arXiv:2507.11081v3 Announce Type: replace-cross Abstract: Ground penetrating radar (GPR) has become a rapid and non-destructive solution for road subsurface distress (RSD) detection. However, recogniz

arXiv:2604.11945v1 Announce Type: cross Abstract: High-fidelity numerical simulation of subsurface flow is computationally intensive, especially for many-query tasks such as uncertainty quantification

Cybersecurity asset management startup Axonius Inc. today unveiled three expansions to its Asset Cloud platform that see the addition of artificial intelligence-driven remediation, extended coverage t

llama.cpp build **b8796** is the latest release of the project as of April 15, 2025, identified by commit `fae3a28`. The primary change in this build is the removal of `ggml-ext.h` from the ggml libra

Build b8797 is a sequentially numbered incremental release of llama.cpp, the open-source C/C++ library for local LLM inference maintained by ggml-org on GitHub. As part of llama.cpp's rapid, continuou

Build **b8798** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for running large language model inference locally and in the cloud. Li

Build **b8799** is an incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for running large language model inference locally and in the cloud. Li

**b8802** is a numbered incremental build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally and in

Build b8804 is an automated incremental release of [llama.cpp](https://github.com/ggml-org/llama.cpp), the open-source C/C++ framework for local LLM inference. Like all llama.cpp builds, it is trigger

**b8806** is a sequential build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference locally. Like other numbe

**b8807** is a sequentially numbered automated build release of [llama.cpp](https://github.com/ggml-org/llama.cpp), an open-source C/C++ framework for running large language model (LLM) inference loca

The question is no longer whether to deploy AI — it’s why so many deployments stall before delivering returns. The answer usually comes down to a lack of trusted data foundation. As research from Qlik

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Banger paper from NVIDIA. Agentic reasoning needs models that are not just capable, but efficient at long-context inference. The agent model layer is moving toward open, long-context, high-throughput

arXiv:2604.12221v1 Announce Type: new Abstract: Gait recognition, as a reliable biometric technology, has seen rapid development in recent years while it faces significant challenges caused by diverse

arXiv:2604.12005v1 Announce Type: cross Abstract: Bayesian optimization (BO) has for sequential optimization of expensive black-box functions demonstrated practicality and effectiveness in many real-w

arXiv:2602.18899v3 Announce Type: replace-cross Abstract: Self-supervised speech models (S3Ms) are known to encode rich phonetic information, yet how this information is structured remains underexplor