🤖 OpenAI

GPT Models, Vision API, Assistants API, DALL-E

ElevenLabs strike deals with celebs to create AI audio
techcrunch.com·12h
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Show HN: Vocaware – AI Voice Agents (Shadcn, Twilio, OpenAI, Supabase, Next.js)
vocaware.com·1d·
Discuss: Hacker News
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Apple's LLM Breakthrough
xray.greyb.com·1d·
Discuss: Hacker News
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Models, Agents and Prompt Injections – Some Experiments
veganmosfet.github.io·1d·
Discuss: Hacker News
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This Nano Banana 2 leak suggests AI images are about to get way better
androidauthority.com·1d
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Last Week in AI #326 - Qualcomm AI Chips, MiniMax M2, Kimi K2 Thinking
lastweekin.ai·3d
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Sequential Human Assembly and Disassembly Motions in Human-Robot Coexisting Environments
nature.com·1d
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Appian Launches New AI Capabilities To Automate Complex Work & Accelerate App Modernisation
prnewswire.com·23h
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**Decentralized Model Training through Federated Learning**
dev.to·13h·
Discuss: DEV
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GPT-5-mini gave me its system prompt (after a bit of manpulation).
reddit.com·2d·
Discuss: r/ChatGPT
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Build a Job-Ready Resume in Minutes: How Mectora’s AI Resume Builder Beats Canva & Indeed
dev.to·10h·
Discuss: DEV
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Beyond Mapping Adversarial Subspaces: Why AI Security Needs Architectural Defenses
dev.to·14h·
Discuss: DEV
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SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology
arxiv.org·1d
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Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection
arxiv.org·2d
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Simulating Psychological Risks in Human-AI Interactions: Real-Case Informed Modeling of AI-Induced Addiction, Anorexia, Depression, Homicide, Psychosis, and Sui...
arxiv.org·3h
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OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
paperium.net·4d·
Discuss: DEV
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Planned Diffusion
paperium.net·14h·
Discuss: DEV
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Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality
arxiv.org·2d
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I built an open-source tool that turns your local code into an interactive knowledge base
reddit.com·2d·
Discuss: r/webdev
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Bayesian Mixture of Experts For Large Language Models
arxiv.org·3h
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