HeyJaredData4AI
Data4AI is a podcast dedicated to the high-stakes world of AI infrastructure. We interview the architects, engineers, and visionaries building the backbone of the 2026 AI era.
- Indexed videos, last 90 days
- 6
- Latest publication
- Jul 21, 2026
- Audience
- ~32 subscribers
- Earliest in this view
- Jul 3, 2026
Latest videos
Alibaba's New AI Renders 10px Text With ZERO Blur (opens the original)
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Alibaba just dropped Qwen-Image 3.0! One prompt, nine full infographics — in a single shot It renders 10-pixel text with zero blur — papers, newspapers, full UIs Twelve languages, over a hundred art styles, all native This thing is built to work, not just to wow CTA AI images just became a productivity tool. Follow for daily AI heat!
Half AI agent that passed their own tests — then failed in front of customers. (opens the original)
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Half of companies shipped an AI agent that passed their own tests — then failed in front of customers. A VentureBeat survey of 157 firms found 50% did exactly that, one in four more than once. Yet only 5% fully trust their automated evaluations. The top complaint: the scores don't match real-world results. Still, two-thirds already allow or are building zero-human-review deployment. Autonomy is outrunning safety — and the evaluation gap is only getting wider.
MeshLLM (opens the original)
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Stop paying the cloud rent. Mesh LLM is an open-source project that pools the GPUs from your idle machines into one inference cluster. Peer-to-peer over iroh — no central server. Over 40 models, up to a 235B giant, all in an 18MB app. Your data never leaves your network. This is AI you actually own.
AI三万亿问题 (opens the original)
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红杉资本算了笔吓人的账。 2026年，AI基建要烧掉1.5万亿美元， 可整个行业得赚回3万亿，才能回本。 两大巨头收入加起来，还不到零头。 更狠的是，大家都在转向更便宜的开源模型。 这3万亿的窟窿，到底谁来填？
The real time performance is very critical (opens the original)
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The real time performance is very critical
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Audience
~32 subscribers
Measured Sep 19, 2026
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