Cover art for Tech Brew Ride Home

Small And Open Source Still Has A Horse In This Race

Tech Brew Ride Home

Published
June 4, 2026
Duration
21:59
Summary source
description
Last updated
Jun 10, 2026

Discusses anthropic, multimodal.

Summary

Google released Gemma 4 12B, a multimodal model that runs locally on 16GB devices. TSMC's CEO warned chip supply won't meet demand for years. Ramp raised $750M at $44B, and Anthropic says 80%+ of its merged code is now Claude-authored. Google releases Gemma 4 12B, an 11.95B-parameter unified, encoder-free open multimodal model that can run locally on devi…

Google's Gemma 4 runs locally on 16GB devices, TSMC warns chip supply will lag demand for years, Ramp hits $44B valuation, and Anthropic says Claude now writes 80%+ of its code.

Key takeaways

  • Google's Gemma 4 12B delivers a 256K-token, encoder-free multimodal model running on just 16GB VRAM, enabling private, offline enterprise AI without cloud dependency.
  • TSMC CEO CC Wei confirmed chip supply will lag AI demand for years despite $165B in planned U.S. expansion, signaling persistent infrastructure constraints for hyperscalers.
  • Anthropic reports 80%+ of merged code is now Claude-authored as of May 2026, with daily code merges up 8x year-over-year, marking a concrete inflection point in AI-accelerated software development.

Why this matters

The convergence of capable on-device AI models, chronic semiconductor supply shortages, and AI systems now autonomously writing the majority of their own codebase signals that enterprise technology leaders must urgently reassess infrastructure procurement, security posture, and software development workflows before these compounding shifts outpace organizational readiness.

Entities

Related reports

Intelligent report

Report loads when you expand this section (one request).

Show notes

Google released Gemma 4 12B, a multimodal model that runs locally on 16GB devices. TSMC's CEO warned chip supply won't meet demand for years. Ramp raised $750M at $44B, and Anthropic says 80%+ of its merged code is now Claude-authored. Google releases Gemma 4 12B, an 11.95B-parameter unified, encoder-free open multimodal model that can run locally on devices with 16GB of VRAM or unified memory (VentureBeat) Public First: 26% of Americans support increased data center construction, the lowest sha

Themes

  • anthropic
  • multimodal