HeyJaredTamez Labs
The frequency where innovation meets street-level reality. Created by the digital product team at Tamez Labs, this isn't your typical tech monoculture. We cover cultural undercurrents that drive innovation - from AI algorithms to internet trends to Gen Z culture.
- Indexed episodes, last 90 days
- 13
- Latest publication
- Sep 17, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 6, 2026
Latest episodes
Claude Docs and Slides Tested for Client Deliverables (opens the original)
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Anthropic launched Claude Docs and Slides on September 16th, letting users build documents and decks directly inside a conversation. Trip and Jack put the new tools through a concrete test — a client-ready deliverable — and trace exactly where the drafting engine holds up and where it falls short.
Suno V6 Section Editing Tested Against the Perfection Wall (opens the original)
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Suno's V6 update ships section editing, single-lyric swaps, and mashups in one request — a genuine move toward directing a song rather than re-rolling it. Trip and Jack weigh those craft gains against a hard perfection wall, a second abrupt model retirement in five weeks, and a licensing story that's real but partial.
Runway Solaris vs. Coded UI: Direct Manipulation Test (opens the original)
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Runway's Solaris generates app interfaces as live video frames rather than HTML and JavaScript — your clicks steer the model, not the DOM. Trip Wire and Jack Lock dig into what that actually means: where the approach earns its wins, and where structural limits like text legibility, zero persistence, and inaccessibility by construction stop it cold. It's research-preview only, so the whole conversation runs on evidence, not hands-on use.
Perplexity AI's $30B Valuation and the Nvidia Talks (opens the original)
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Perplexity AI tripled its annualized revenue to over $750 million in roughly half a year — and most of that surge traces to a single new product that isn't quite search. This episode tracks how a citation-first answer engine is pushing into AI agents, and what a reported Nvidia investment signals about where that heading next.
Velaura AI's $110M Bet on Power-Efficient Silicon (opens the original)
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Velaura AI raised a $110 million Series A on the strength of thirty million chips already in the field — not a pitch deck. The Santa Clara startup licenses a chip IP block called Titan Core that promises two to four times more AI performance per watt, and collects royalties tied to the power savings it delivers.
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