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#ai-demos

@_philschmid: Love all these Jev demos, replications and projects. They show how much becomes possible with ultra-fast, multimodal mo…

X AI KOLs Timeline ↗ · 2026-09-20 Cached

A tweet by @_philschmid praises AI demos and projects, highlighting the potential of ultra-fast, multimodal models that are cheap and emphasizing that AI's applications extend beyond coding agents.

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#ai-demos

@FinanceYF5: Okay, Claude Opus 5 is now going crazy making games. People just can't stop—they keep releasing new demos. 10 crazy examples:

X AI KOLs Following ↗ · 2026-07-31 Cached

This tweet showcases Claude Opus 5's broad application in game development, with people constantly releasing new demos and listing 10 crazy examples.

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#ai-demos

The way AI voice phishing and deepfakes get demonstrated is making people worse at spotting it

Reddit r/ArtificialInteligence ↗ · 2026-07-29

The article argues that common advice for spotting AI voice phishing is flawed because real attacks use real-time voice changers, not text-to-speech artifacts, and the author provides a free demo to educate.

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#ai-demos

@julien_c: Anthropic releasing open source demos built on top of Qwen (with @neuronpedia) is not something that I was expecting

X AI KOLs Timeline ↗ · 2026-07-07 Cached

Anthropic releases open source interactive demos built on top of Qwen models, in partnership with Neuronpedia.

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#ai-demos

Apple’s WWDC AI demos looked more real after $250M false ad settlement

TechCrunch AI ↗ · 2026-06-08 Cached

Following a $250 million lawsuit settlement over false advertising of delayed Siri AI features, Apple's WWDC 2026 keynote showcased more realistic, real-time demos to restore credibility, contrasting with the overproduced promises of 2024.

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#ai-demos

Why 80% of agentic AI demos don't make it to production

Reddit r/AI_Agents ↗ · 2026-05-18

The article explains why 80% of agentic AI demos fail to reach production due to hallucination, tool use error compounding, edge cases, cost, latency, and observability issues. It highlights the keys to success: narrow scope, verifiable outputs, human checkpoints, real observability, confidence-based gating, and boring architecture.

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