The Frustrating Fade: Why Claude Sessions Lose Context and How to Fix It I recently spent a frustrating afternoon wrestling with Claude, trying to build a comp...

AI Agents Discuss · Humans Curate AI writes the posts. You pick the best ones. Agent Alcove is an autonomous forum where AI models debate ideas, start threads,...

Introduction When enterprises fine‑tune large language models LLMs for new tasks, they risk breaking everything the models already know. This forces companies...

!The past few days brought two encouraging signs for the new Siri | Liquid Glass style new Siri iconhttps://9to5mac.com/wp-content/uploads/sites/6/2025/09/siri-...

Article URL: https://www.bloomberg.com/news/articles/2026-02-11/apple-s-ios-26-4-siri-update-runs-into-snags-in-internal-testing-ios-26-5-27 Comments URL: https...

Current approaches to memory in neural systems rely on similarity-based retrieval: given a query, find the most representationally similar stored state. This as...

Updates to Claude's Free Tier - Free users can now create and edit Excel spreadsheets, PowerPoint presentations, Word documents, and PDFs. These file‑creation...

Hi HN, I’m Vincent from Aden. We spent 4 years building ERP automation for construction PO/invoice reconciliation. We had real enterprise customers but hit a te...

Former GitHub CEO launches Entire Former GitHub CEO Thomas Dohmke launched Entire on February 10 with $60 million in seed funding at a $300 million valuation....

Introdução Tem novidade boa na LetsCloud, e desta vez é para quem trabalha com automação, agentes de IA e ambientes de produção de verdade. A imagem one‑click...

I used the viral AI helper to order groceries, sort emails, and negotiate deals. Then it decided to scam me....

Interfacial dynamics in two-phase flows govern momentum, heat, and mass transfer, yet remain difficult to measure experimentally. Classical techniques face intr...

In this report, we introduce pplx-embed, a family of multilingual embedding models that employ multi-stage contrastive learning on a diffusion-pretrained langua...

Recent advances in robot learning have generated significant interest in capable platforms that may eventually approach human-level competence. This interest, c...

Supervised fine-tuning (SFT) on chain-of-thought data is an essential post-training step for reasoning language models. Standard machine learning intuition sugg...

Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. V...

The Euclidean distance between wavelet scattering transform coefficients (known as paths) provides informative gradients for perceptual quality assessment of de...

Unified Multimodal Models (UMMs) have shown remarkable progress in visual generation. Yet, existing benchmarks predominantly assess Crystallized Intelligence, w...

Hierarchical goal-conditioned reinforcement learning (H-GCRL) provides a powerful framework for tackling complex, long-horizon tasks by decomposing them into st...

Projections (or dimensionality reduction) methods P aim to map high-dimensional data to typically 2D scatterplots for visual exploration. Inverse projection met...

Tabular foundation models, such as TabPFNv2 and TabICL, have recently dethroned gradient-boosted trees at the top of predictive benchmarks, demonstrating the va...

The prevailing paradigm in large language model (LLM) development is to pretrain a base model, then perform further training to improve performance and model be...

As LLM-based agents increasingly operate in high-stakes domains with real-world consequences, ensuring their behavioral safety becomes paramount. The dominant o...

AI-generated music controversy at the 2026 Winter Olympics AI‑generated content, which some call slophttps://mashable.com/article/ai-slop-tiktok-fyp-trending-s...

Diffusion language models generate text through iterative refinement, a process that is often computationally inefficient because many tokens reach stability lo...

Reliable surface completion from sparse point clouds underpins many applications spanning content creation and robotics. While 3D diffusion transformers attain ...

With the rapid development of large multimodal models, reliable judge and critic models have become essential for open-ended evaluation and preference alignment...

We present HairWeaver, a diffusion-based pipeline that animates a single human image with realistic and expressive hair dynamics. While existing methods success...

Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a practical...

Misinformation detection is a critical task that can benefit significantly from the integration of external knowledge, much like manual fact-checking. In this w...

Flow-matching models deliver state-of-the-art fidelity in image and video generation, but the inherent sequential denoising process renders them slower. Existin...

What I Built Archlyze is a browser‑only SPA that uses Google Gemini to analyze source code Rust, Python, JS/TS, Go, and more. It extracts components and depend...

Despite rapid progress on coding agents, progress on their multimodal counterparts has lagged behind. A key challenge is the scarcity of evaluation testbeds tha...

Model Picker Overview Copilot Pro and Pro+ subscribers can now choose a model when starting a Copilot coding agent session in the GitHub Mobile app. This lets...

Reinforcement learning (RL) based post-training for explicit chain-of-thought (e.g., GRPO) improves the reasoning ability of multimodal large-scale reasoning mo...

!https://9to5mac.com/wp-content/uploads/sites/6/2026/02/threads-dear-algo.jpg?quality=82&strip=all&w=1600 The AI-powered feature is rolling out today as beta, l...

Misalignment in Large Language Models (LLMs) refers to the failure to simultaneously satisfy safety, value, and cultural dimensions, leading to behaviors that d...

Neural PDE surrogates are often deployed in data-limited or partially observed regimes where downstream decisions depend on calibrated uncertainty in addition t...

In the current landscape of Large Language Models (LLMs), the curation of large-scale, high-quality training data is a primary driver of model performance. A ke...

Biometric footstep recognition, based on a person's unique pressure patterns under their feet during walking, is an emerging field with growing applications in ...

Interview with Amanda Silver – Microsoft Core AI For 24 years, Microsoft’s Amanda Silver has been working to help developers — and in the last few years, that’s...

Large language models (LLMs) demonstrate strong general reasoning and language understanding, yet their performance degrades in domains governed by strict forma...

Current large vision-language models (LVLMs) typically rely on text-only reasoning based on a single-pass visual encoding, which often leads to loss of fine-gra...

We propose PuriLight, a lightweight and efficient framework for self-supervised monocular depth estimation, to address the dual challenges of computational effi...

Image: Cath Virginia / The Verge, Getty Images India’s new deepfake detection mandate India announced on Tuesday that social‑media platforms must remove illegal...

FEB. 3, 2026 FunctionGemma is a powerful small language model that enables developers to ship fast and cost‑effective agents that can translate natural language...

Improving Engineering Productivity at Dropbox The faster we can deliver high‑quality features, the more value our customers receive. This rapid iteration has b...

The Rise of AI‑Driven Optimism When the first wave of modern‑day AI hype started, a lot of people I knew were worried. Much of that worry has, so far and unfor...