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AI 资讯

Are AI-Generated Videos Rewriting Our Understanding of Physics?

How synthetic reality may influence human intuition about motion, gravity, and causality AI video generation has reached a point where a model can create scenes that look physically convincing at first glance: A person jumping impossible distances Objects moving without inertia Water flowing upward Animals performing human-like actions Buildings bending like rubber People interacting with impossible environments For decades, humans learned physics by observing the real world. A ball falls. A glass breaks. A person cannot walk through a wall. Heavy objects require more force to move. These observations create what cognitive scientists call intuitive physics : an internal mental model that predicts how objects should behave. But what happens when the majority of visual experiences become synthetic? Could AI-generated videos slowly change how future generations perceive reality? Humans Do Not See Reality Directly A common misconception is that our brain works like a camera: Reality → Eyes → Brain → Understanding The actual process is closer to: Reality ↓ Sensory input ↓ Brain prediction model ↓ Perception The brain is constantly predicting what should happen next. When you see a ball thrown into the air, your brain automatically predicts: trajectory speed gravity collision point acceleration This happens before conscious reasoning. This capability is known as predictive processing . Your brain is not only asking: "What am I seeing?" It is also asking: "Does this match my internal model of how the world works?" The Brain Learns Physics From Experience Young children do not learn physics from equations. They learn by interaction. A baby discovers: Objects continue to exist when hidden Unsupported objects fall Solid objects cannot overlap Larger objects require more effort to move Researchers call these abilities core knowledge systems . Humans appear to have an innate expectation that the physical world follows consistent rules. For example: A child watching a ball roll

2026-07-26 原文 →
AI 资讯

What a HIPAA-Compliant AI Voice Agent Actually Costs

A HIPAA-compliant AI voice agent for healthcare typically costs $40,000-$150,000 to build, depending on call complexity and EHR integration, plus $2,000-$15,000/month to operate. The build cost isn't dominated by the speech model — it's dominated by the compliance and data-retention layer wrapped around it. Most cost estimates for "AI voice agents" quietly assume a sales or support use case, where a wrong transcription costs you an annoyed customer. In healthcare, a wrong transcription in a medication name or a dropped consent statement is a liability. That difference reshapes the budget. Where the money actually goes 1. Speech recognition (10-20% of build cost) This is the smallest line item, despite being the part founders worry about most. You have three options: Managed API with a BAA (e.g., enterprise-tier Deepgram, Azure Speech, Google Healthcare API) — fastest to ship, but you're paying per-minute and locked into the vendor's accuracy on medical terminology. Fine-tuned open-weight model — better accuracy on clinical vocabulary and accents, but adds MLOps overhead. Self-hosted model — highest control over data residency, needed if your contracts or state law prohibit sending PHI to a third party. If your patient population speaks Gulf Arabic or another dialect underserved by mainstream ASR, budget separately for this — see our breakdown on Arabic speech recognition costs for how accent and dialect coverage move accuracy and price independently of the base model choice. 2. Compliance infrastructure (30-40% of build cost) This is where healthcare voice AI diverges hardest from a generic voice bot: Business Associate Agreements with every vendor in the call path (ASR, LLM, telephony, storage) Encryption at rest and in transit, with key management you can audit Role-based access control on transcripts and recordings Immutable audit logs of who accessed what patient data and when The U.S. Department of Health and Human Services publishes the actual HIPAA Security R

2026-07-25 原文 →
AI 资讯

The quest to keep organs alive outside the body

This week, I covered a fascinating effort to preserve organs outside the body. There’s a huge shortage of donor organs, and one of the main reasons is time—they survive only a matter of hours outside the body, even when they’re kept on ice. Doctors dream of organ banks—stores of human organs that can be preserved…

2026-07-25 原文 →
开发者

What I track in a day

This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they're going to change your life. Optimizer will be taking a two-week break and will be moving to Wednesdays starting August 12th. Opt in for Optimizer here. My For You page […]

2026-07-24 原文 →