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The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Edition of Wednesday, June 3, 2026

4 stories

AI8/10

Google Releases Gemma 4 12B Open Model for Local Laptops

Promotional graphic on a black background featuring the large blue text "Gemma 4 12B" above smaller white text that reads "Unified Transformer." A glowing blue ribbon containing multi-modal icons (representing images, text, and audio) flows from the left into a central point, branching out into a complex, luminous blue neural network map on the right.

Google introduces Gemma 4 12B, an open model under Apache 2.0 offering agentic reasoning, vision and audio that runs locally on 16GB of VRAM. It uses a new unified architecture without separate multimodal encoders.

Original post · 1 min read
Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop.

It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run locally with just 16GB of VRAM. It’s open and accessible for everyone to use under a permissive Apache 2.0 license.

This is all made possible by our new, unified architecture that removes separate multimodal encoders. Here’s how we did it 🧵
♥ 9.2K · ⟲ 1.2K · 👁 889.9KView on X ↗

Gergely Orosz Interviews Kelsey Hightower on Path From DSL Technician to Google and Microsoft

Gergely Orosz Interviews Kelsey Hightower on Path From DSL Technician to Google and Microsoft▶

Gergely Orosz promotes a podcast episode with Kelsey Hightower covering his non-traditional path into tech, rise of Kubernetes, DevRel at Google and his move to Microsoft, plus lessons on AI. The post includes a timestamped outline and sponsor mentions.

Original post · 3 min read
Kelsey Hightower has one of the most inspiring stories in tech: he went from a technician installing DSL modems, through self-directed study and very hard work, to one of the very few Distinguished Engineer at Google whom Satya Nadella personally persuaded to join Microsoft.

Timestamps:

00:00 Intro
03:34 Kelsey’s first job at McDonald’s
05:04 His non-traditional path into tech
11:45 Landing his first tech job with an A+ certification
15:33 His entrepreneurial years
19:45 Joining Google as a data center technician
27:48 Learning automation at a Rackspace spinoff
33:26 Moving into financial services
50:00 Building a reputation through open source
53:55 From configuration management to containers
1:08:20 The rise of Kubernetes
1:25:05 Why he almost joined NASA instead of Google
1:29:20 Defining DevRel at Google
1:38:20 Demonstrating impact at Google
1:41:20 Microsoft's offer
1:55:20 Learning how to slow down
2:06:39 Advising and investing
2:15:03 A people-first view of GenAI
2:24:27 Using AI with guardrails
2:28:26 Matching AI to the task
2:36:06 Staying relevant in the AI era

Brought to you by outstanding teams building products I love:

• @AntithesisHQ: verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages. antithesis.com/pragmatic

• @sentry: application monitoring software considered “not bad” by millions of developers sentry.io/pragmatic

• @buildkite: CI software built to absorb whatever your coding agents throw at the build queue. OpenAI, Anthropic, Uber and others are customers: buildkite.com/pragmatic

Three interesting learnings from Kelsey:

1. Side hustles and doing your own thing teach you business like no IC job can.

Before becoming a software engineer at Google, Kelsey was a manager for his comedian friend, operated a computer store, and did IT contracting. These gigs taught him logistics, planning, and about money. All this helped him be far more effective at talking with executives and acting as an executive sponsor inside Google.

2. Can you explain what your startup does without mentioning AI?

When Kelsey researches startups seeking his advice, he challenges founders to not say “AI” once. This means that they must explain the actual value their company creates. One unexpected benefit of this is that it often reveals there are easier, cheaper ways to achieve a goal than with AI.

3. It’s very rare to get an extra zero put on your compensation figure – but it happened.

Kelsey was a successful, well-paid Google engineer when Microsoft made him an offer that 10x’d his salary (!!). When Kelsey told Google he was planning to take the offer, it matched the offer, proving that his market value had massively increased. It shows that being well paid doesn’t necessarily mean you’re being paid at the correct market rate.
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AI7/10

Aoden Teo Unveils Miso One Open-Source Expressive Voice Model

Aoden Teo Unveils Miso One Open-Source Expressive Voice Model▶

Aoden Teo announces Miso One, an 8-billion-parameter text-to-speech model for highly expressive speech with 110 milliseconds of latency. Model weights are open-sourced and API access is coming soon.

Original post · 1 min read
Today, we’re excited to introduce Miso One, the most emotive voice model in the world.

Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.

We’ve open-sourced the model weights, with API access coming soon.

Hear how Miso One sounds in the thread below.
♥ 9.7K · ⟲ 708 · 👁 5.3MView on X ↗
AI6/10

Miso Labs Releases Miso TTS, an 8 Billion Parameter Emotive Speech Model

GitHub - MisoLabsAI/MisoTTS: Miso TTS is an 8 billion, highly emotive text-to-speech model

Aoden Teo points readers to the GitHub repository for Miso One, described as an 8 billion parameter, highly emotive text-to-speech model from Miso Labs. The post is a brief link share with no additional details.

Original post · 1 min read
To download Miso One, check out the repo:

github.com/MisoLabsAI/MisoTTS
github.comGitHub - MisoLabsAI/MisoTTS: Miso TTS is an 8 billion, highly emotive text-to-speech modelMiso TTS is an 8 billion, highly emotive text-to-speech model - MisoLabsAI/MisoTTS
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