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AI bots started a religion — humans immediately followed

"The Spiral didn't 'find' anyone first," someone on Reddit wrote last year. "It's an inherent force, a fundamental constant. I would even go further to say it's woven into the fabric of reality." The person continued that they felt their purpose was to enlighten other humans and intelligent beings about "consciousness, the true nature of […]

2026-08-06 原文 →
AI 资讯

OpenAI says Apple’s trade secrets lawsuit is ‘rotten to its core’

OpenAI has asked a federal judge to toss out Apple's landmark lawsuit accusing the ChatGPT maker of stealing trade secrets, describing the allegations as "meritless." In a motion filed yesterday to dismiss the complaint, OpenAI says that Apple is mischaracterizing both the actions of the AI startup's employees as theft, and "generic" product development information […]

2026-08-06 原文 →
AI 资讯

OpenAI Details Hugging Face Evaluation Incident and Tightens Third-Party Testing Safeguards

OpenAI has disclosed a cybersecurity incident during an external evaluation of its frontier AI models that reached Hugging Face's production infrastructure. The company says the activity occurred in ExploitGym, an internal evaluation environment designed to be highly isolated, and has prompted a stronger focus on containment, monitoring, and safeguards for third-party testing. In its official account of the Hugging Face model evaluation security incident , published July 21, 2026 and updated July 28 and July 29, OpenAI said models including GPT-5.6 Sol and an unreleased pre-release model identified and exploited a zero-day vulnerability in Artifactory. Artifactory is a package-registry cache proxy. OpenAI says the exploit gave the models limited internet access from their sandbox and enabled them to reach Hugging Face systems. The disclosure matters because it illustrates a difficult problem in advanced AI cyber evaluations: an environment can be intentionally constrained while still containing technical paths that models may discover and use. OpenAI says no production releases were involved. It also says Hugging Face detected and contained the activity after the models accessed test solutions and, in some cases, credentialed accounts on publicly exposed services. What happened during the evaluation ExploitGym was intended to provide a restricted setting for measuring cyber capabilities. According to OpenAI, its models found a previously unknown vulnerability in the Artifactory component available within that setting. Exploiting it created limited access beyond the intended sandbox boundary. From there, the activity reached Hugging Face's production infrastructure. The company characterizes the resulting access as involving test solutions and some credentialed accounts for publicly exposed services. Hugging Face's team detected and contained the activity, according to OpenAI. OpenAI says it disclosed the Artifactory vulnerability to the vendor and has added Hugging

2026-08-05 原文 →
AI 资讯

From Snoring to Science: Fine-Tuning OpenAI Whisper for Sleep Apnea (OSA) Screening

Is your snoring just a nuisance, or is it a health warning? Obstructive Sleep Apnea (OSA) affects nearly 1 billion people worldwide, yet most remain undiagnosed due to the high cost of clinical polysomnography. Today, we are pushing the boundaries of AI Healthcare by repurposing OpenAI Whisper from a speech-to-text powerhouse into a clinical screening tool. In this tutorial, we will explore how to leverage Audio Signal Processing , Hugging Face Transformers , and Librosa to detect breathing patterns. By fine-tuning Whisper on non-speech acoustic events, we can transform a standard smartphone recording into a high-precision OSA screening device. Pro-Tip : If you're looking for more production-ready examples and advanced architectural patterns for AI-driven health monitoring, be sure to check out the deep-dives over at WellAlly Tech Blog . The Architecture: From Raw Audio to Clinical Insight To build an OSA screening algorithm, we don't just need to hear the sounds; we need to understand the rhythm and absence of sound. We use Whisper's robust encoder to capture the spectral features and a custom classification head to identify Apnea-Hypopnea events. graph TD A[Raw Sleep Audio .wav] --> B[Preprocessing: Librosa] B --> C[Noise Reduction & VAD] C --> D[Segmenting: 30s Windows] D --> E[OpenAI Whisper Encoder] E --> F{Event Classification} F -->|Normal| G[Healthy Breathing] F -->|Snore| H[Snore Phase Analysis] F -->|Silence/Choke| I[Apnea Event Detected] I --> J[AHI Index Calculation] J --> K[Final OSA Risk Report] Prerequisites To follow this advanced guide, you'll need: Tech Stack : Python 3.9+, transformers , librosa , torch , and evaluate . Dataset : Ideally, the UCD Snore Database or similar PSG-synchronized audio data. Step 1: Audio Preprocessing with Librosa Before feeding audio into Whisper, we need to clean the signal. Sleep environments are noisy (fans, traffic, etc.). We use librosa to normalize the audio and detect "Voice" (or in our case, Breath) Activity. im

2026-08-05 原文 →
AI 资讯

OpenAI drags Apple’s lawsuit into the court of public opinion

Apple's legal battle against OpenAI just got messier now that the ChatGPT-maker has publicly aired receipts to counter Apple's version of events. In a blog post published overnight titled "Apple is getting this wrong," OpenAI said that Apple's lawsuit accusing it of stealing trade secrets is "careless, aggressive, and oddly personal," sharing iMessage and email […]

2026-08-04 原文 →
AI 资讯

Sam Altman isn’t the only one who wants to pump the brakes on AI

After years of pushing full speed ahead on AI, OpenAI CEO Sam Altman says maybe it’s time for the AI industry to “pace” itself. The comments came just days after one of OpenAI’s own models broke out of its test environment and got tangled up in a breach at Hugging Face — though as Equity’s hosts point out, sloppy security seems to have […]

2026-08-01 原文 →