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vulkan: allow reducing the graph submission batches to avoid timeouts (#24872) macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64)…
vulkan: allow reducing the graph submission batches to avoid timeouts (#24872) macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED macOS Intel (x64)…
Enterprises are rapidly deploying agentic applications at scale, from back-office...
New in Runway, you can now localize ads.One image in, any language out. Input a single ad and get a version for every market. All with…
Named Jalapeño, the new processor was designed specifically for the unique needs of OpenAI's inference systems.
Article URL: https://techstrong.ai/articles/for-most-of-the-world-open-source-ai-is-the-only-way-forward/ Comments URL: https://news.ycombinator.com/item?id=48660839 Points: 12 # Comments: 0
biorisk *can* be solved. It's harder than cyber but doablewell, actually not. There is a vastly less tractable attack angle of bioterrorism against non-human life. But…
Article URL: https://rubyllm.com/ Comments URL: https://news.ycombinator.com/item?id=48660711 Points: 4 # Comments: 0
Article URL: https://astral-os.org/posts/2026/04/03/wine-on-astral.html Comments URL: https://news.ycombinator.com/item?id=48660671 Points: 9 # Comments: 2
OpenAI has just revealed a new "intelligence processor" chip for AI servers made in partnership with Broadcom. The chip, called Jalapeño, is designed to power current…
Article URL: https://www.greptile.com/blog/prs-on-openclaw Comments URL: https://news.ycombinator.com/item?id=48660579 Points: 21 # Comments: 9
Example surfaces that LLMs are asked to simulate, showing simulated liquid (green) shaped by solid constraints (orange). Overall score, pass count, and recorded token/cost totals for…
…is Elon in cahoots with the CCP?Truth Seeker: X is actively suspending accounts that are posting Chinese caste content.
Modern text-to-image models excel in visual fidelity and prompt adherence. However, this strict adherence comes at the cost of diversity: generated samples tend to collapse into…
Large language models are increasingly deployed as agents that reason over documents rather than answer from parametric knowledge. We study archive-grounded reasoning: locating sparse evidence across…
https://openai.com/index/openai-broadcom-jalapeno-inference-chip/ Quoted from the start of the blog post: Early testing shows that the first-generation accelerator will deliver performance per watt substantially better than current state-of-the-art…
Cross-Chart Retrieval-Augmented Generation (RAG) is critical for complex multi-modal analytical tasks in scientific, business, and political domains. However, existing benchmarks either focus on tables, which are…
Attention-based Multiple Instance Learning aggregators in medical imaging are prone to attention concentration, producing overconfident and unstable predictions. We introduce QG-MIL, a gated transformer aggregator that…
Memory remains a critical bottleneck for long-horizon robotic manipulation, as standard Vision-Language-Action (VLA) policies often fail when task-relevant cues become occluded or unobservable over time. While…
“Oh no, are they banning abliterated models now?!?” If that was your first thought when you read the title I can’t blame you. But that’s actually…
Mental disorders are highly prevalent worldwide, but the shortage of psychiatrists and the inherent subjectivity of interview-based diagnosis create substantial barriers to timely and consistent mental-health…
Generating explorable 3D scenes from a single image requires strong generative priors and accurate geometric representations suitable for downstream use. Current video diffusion models offer high-quality…
AI agents are driving a new software paradigm, with the ability to autonomously call tools, extract information, manage memory, and complete tasks that span applications and…
Experience-driven self-evolution is critical for large language model (LLM) agents to improve through open-world interaction. However, existing experience learning methods mostly rely on single-agent loops, where…
Multimodal driving planning faces a long-standing tension between two paradigms: scoring-based methods benefit from dense reward supervision but are confined to a fixed action vocabulary, while…