Proximal Policy Optimization (PPO) has become the predominant algorithm for on-policy reinforcement learning due to its scalability and empirical robustness acr...

We present BLF (Bayesian Linguistic Forecaster), an agentic system for binary forecasting that achieves state-of-the-art performance on the ForecastBench benchm...

Story Visualization aims to generate a sequence of images that faithfully depicts a textual narrative that preserve character identity, spatial configuration, a...

Large language models have achieved significant reasoning improvements through reinforcement learning with verifiable rewards (RLVR). Yet as model capabilities ...

Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak alignment between language and dense vision features, which hurts...

Overview Deezer reports receiving nearly 75,000 AI‑generated song submissions each day, which represents about 44 % of all daily uploads to the platform. Stati...

The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge towar...

Modern medicine generates vast multimodal data across siloed systems, yet no existing model integrates the full breadth and temporal depth of the clinical recor...

In this work, we revisit the problem of active sequential prediction-powered mean estimation, where at each round one must decide the query probability of the g...

Large language models frequently commit unrecoverable reasoning errors mid-generation: once a wrong step is taken, subsequent tokens compound the mistake rather...

We present a systematic evaluation of large language model families -- spanning both proprietary cloud APIs and locally-hosted open-source models -- on two purp...

Video world models have achieved remarkable success in simulating environmental dynamics in response to actions by users or agents. They are modeled as action-c...

A recent study (Kuribayashi et al., 2025) has shown that human sentence processing behavior, typically measured on syntactically unchallenging constructions, ca...

Reasoning segmentation requires models to ground complex, implicit textual queries into precise pixel-level masks. Existing approaches rely on a single segmenta...

Models from the AlphaFold (AF) family reliably predict one dominant conformation for most well-ordered proteins but struggle to capture biologically relevant al...

Controllable cooperative humanoid manipulation is a fundamental yet challenging problem for embodied intelligence, due to severe data scarcity, complexities in ...

Weight quantization has become a standard tool for efficient LLM deployment, especially for local inference, where models are now routinely served at 2-3 bits p...

In recent years, the Vision Transformer (ViT) has garnered significant attention within the computer vision community. However, the core component of ViT, Self-...

Verification of model outputs is rapidly emerging as a key primitive for both training and real-world deployment of large language models (LLMs). In practice, t...

Constructing environments for training and evaluating claw-like agents remains a manual, human-intensive process that does not scale. We argue that what is need...

This paper studies how empirical dialogue-flow statistics can be incorporated into Next Dialogue Act Prediction (NDAP). A KL regularization term is proposed tha...

The rapid progress of subject-driven text-to-image synthesis, and in particular DreamBooth, has enabled a consent-free deepfake pipeline: an adversary needs onl...

Uniform Discrete Diffusion Model (UDM) has recently emerged as a promising paradigm for discrete generative modeling; however, its integration with reinforcemen...

Open-weight language models can be rendered unsafe through several distinct interventions, but the resulting models may differ substantially in capabilities, be...

Large language models (LLMs) are widely used in retrieval-augmented generation (RAG) to incorporate external knowledge at inference time. However, when retrieve...

Lightning robot shatters half‑marathon record The autonomous scarlet robot named Lightning finished a 13‑mile race in Beijing on Sunday in just 50 minutes 26 s...

!https://9to5mac.com/wp-content/uploads/sites/6/2025/07/openai-browser.jpg?quality=82&strip=all&w=1600 OpenAI has confirmedhttps://status.openai.com/ that ChatG...

Molecular biology features numerous complexes of proteins that coordinate in an interlocking fashion to fulfill different functions. Adaptive evolution explains...

Article URL: https://qwen.ai/blog?id=qwen3.6-max-preview Comments URL: https://news.ycombinator.com/item?id=47834565 Points: 38 Comments: 8...

Recently, code-oriented large language models (LLMs) have demonstrated strong capabilities in translating natural language into executable code. Text-to-SQL is ...

Large language models are rapidly evolving into interactive coding agents capable of end-to-end web coding, yet existing benchmarks evaluate only narrow slices ...

AI agents are transforming how work gets done across all industries, accelerating everything from content creation to decision‑making. NVIDIA’s expanded strateg...

In black-box optimization, a central question is which algorithm to use to solve a given, previously unseen, problem. Selecting a single algorithm, however, ent...

The Illusion of Leaderboards Model rankings give a sense of clarity. A number beside a model name feels decisive, almost authoritative, and teams often rely on...

Why Generic Evaluations Aren’t Enough It’s common in AI reliability discussions to hit a conundrum: you know quality matters, but you don’t yet know which fail...

We investigate magnitude as a new unary and strictly Pareto-compliant quality indicator for finite approximation sets to the Pareto front in multiobjective opti...

The setup - 50 factual questions across 5 categories - 3 models: llama3.2, mistral, phi3 - Running 100 % locally using Ollama – no API keys needed Leaderboard...

I’m happy to help format the article, but I need the full text of the piece in order to clean it up and convert it to Markdown. Could you please provide the art...

Introduction If you’ve ever wondered what happens when you type a prompt into ChatGPT, this article breaks it down in the simplest way possible. How the Prompt...

!Cover image for Launching Pegasus 1.5 by TwelveLabs on Product Hunthttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto...

Scalability of evolutionary algorithms refers to assessing how their performance changes as problem size increases. In the area of multi-objective optimisation,...

Existing works on large language model (LLM) decomposition mainly focus on improving performance on downstream tasks, but they ignore the poor parallel inferenc...

Claude Token Counter, now with model comparisons I upgradedhttps://github.com/simonw/tools/pull/269 my Claude Token Counter tool to add the ability to run the...

Key Takeaways - Hyatt has deployed ChatGPT Enterprise. - With ChatGPT Enterprise, Hyatt employees can access frontier AI capabilities such as GPT 5.4, Codex, a...

'Why Inference Optimization Is Taking Over

Introduction: The Gap Between Ideas and Execution Is Shrinking There has always been a frustrating gap in the creative and product development process. You mig...

I Built an AI Agent That Writes Viral LinkedIn Posts in My Voice Most AI writing tools sound the same—same hooks, same tone, the same “AI feel.” To break that...

Article URL: https://finance.yahoo.com/sectors/technology/articles/ubers-anthropic-ai-push-hits-223109852.html Comments URL: https://news.ycombinator.com/item?i...