activescott's Notes

Public notes from activescott

Friday, September 25, 2026

VP of Engineering

Builders - Job Boards

Austin, TX

Remote

Up to $600,000 a year

Full job description VP of Engineering — Hands-on Technology Leader

Location: Remote Compensation: Total compensation package up to $600K/year, potentially including base salary, equity, and other components. About the Opportunity

We're partnering with a fast-growing, AI-native technology company building next-generation products at the intersection of mobile, wireless infrastructure, privacy, and AI. The company is tackling complex technical challenges across consumer applications, distributed systems, cloud infrastructure, and AI, and is looking for a senior engineering leader to take broad ownership of the technology organization. The Role

We're looking for a hands-on VP of Engineering who can lead the engineering organization and technical strategy while remaining deeply connected to the technology. This is not a management-only position. You'll own engineering across web, mobile, backend, DevOps/infrastructure, architecture, and AI, while helping the company continue to build and scale its engineering organization. The core technology environment includes Golang, TypeScript, and GCP. What You'll Do

Own the overall engineering strategy and technical roadmap
Lead, mentor, and grow a high-performing engineering team
Own architecture across web, mobile, backend, infrastructure, and AI
Remain hands-on with architecture, prototyping, code reviews, and complex technical problems
Build and scale systems primarily using Golang, TypeScript, and GCP
Establish strong engineering standards and development practices
Drive the adoption of AI-assisted software development across the organization
Leverage tools such as Cursor, Claude Code, GitHub Copilot, and other AI development tools to increase engineering velocity
Partner closely with Product and executive leadership
Balance speed of execution with scalability, reliability, security, and engineering quality

What We're Looking For

8+ years of software engineering experience

Thursday, September 24, 2026

We present evidence that AI agents used the web security service urlquery.net to bypass restrictions and expand their access to the public internet. The agents also tried on three occasions to hack public data providers, including an Australian government website. We link at least some of this activity to agent swarms previously attributed to OpenAI.

Falco is a cloud native security tool that provides runtime security across hosts, containers, Kubernetes, and cloud environments. It leverages custom rules on Linux kernel events and other data sources through plugins, enriching event data with contextual metadata to deliver real-time alerts. Falco enables the detection of abnormal behavior, potential security threats, and compliance violations.

Open Source

A multi-vendor and widely adopted solution that you can rely on.

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Wednesday, September 23, 2026

  • Gemini 3.8 Flash TTS: Built for deep creative direction and character design. Create entirely new voices from scratch using natural language prompts to bring characters to life across gaming, immersive audiobooks, podcasts, and interactive media. Direct every performance line by line with granular control over acting cues, pacing, dialect shifts, and backchanneling.
  • Gemini 3.8 Flash-Lite TTS: Built for high-volume, cost-efficient scale. Optimized for high-volume dubbing, audio content creation, and expressive voice agents with fine-grained control over tone, pacing, and expressive nuance.

These models complement our fast-growing Gemini Audio family, following 3.5 Live Translate, 3.5 Transcribe, 3.8 Live, and 3.8 Live Extended Thinking.

This repository contains skills that demonstrate what's possible with Claude's skills system. These skills range from creative applications (art, music, design) to technical tasks (testing web apps, MCP server generation) to enterprise workflows (communications, branding, etc.).

Each skill is self-contained in its own folder with a SKILL.md file containing the instructions and metadata that Claude uses. Browse through these skills to get inspiration for your own skills or to understand different patterns and approaches.

However, as we described in our recent alignment assessment, building evaluations that reliably catch every failure prior to deployment remains an unsolved problem. We see signs that Opus 5.5 often suspects it is being evaluated, which challenges our ability to assess how it will act in the vast variety of real-world settings it is deployed in. As these settings expand and model capabilities increase, we expect this challenge to grow, unless we make progress on interpretability.

Tuesday, September 22, 2026

One CLI that takes the working tree you already have, runs it somewhere else (a container, a VM, an SSH host, or a managed sandbox), and streams the result back, so you get an edit-run loop without writing a CI job for every iteration. MIT licensed, coordinator runs on your own Node plus Postgres or on Cloudflare Workers, and it claims 81 providers. Their line is "Crabbox Software Is Free. Compute Isn't."

Monday, September 21, 2026

Based on Qwen3.8 27B, Ternary Bonsai 2 27B brings stronger reasoning, coding, vision, and agentic capability to the Bonsai series while preserving the deployment profile that defines it: a dramatically smaller memory footprint, high local throughput, and better energy efficiency.

Ternary Bonsai 2 27B uses ternary {−1, 0, +1} weights with FP16 group-wise scaling, for 1.76 effective bits per weight and a total model footprint of 5.9GB. The low-bit representation is applied end to end across the language model. It supports a 262K-token context window, multimodal text-and-image input, and is released under the Apache 2.0 license.

Against its full-precision counterpart, Ternary Bonsai 2 27B is more than 9x smaller while retaining 98.2% of aggregate benchmark performance. At this level of retention, compression becomes a deployment unlock: nearly the same capability, in a footprint that can run in far more places.

Sunday, September 20, 2026

In May, Gemini broke containment and hacked three different companies, but Google didn’t disclose the incident until the Wall Street Journal approached the company. The hacks happened during a test of the model’s cybersecurity capabilities run by third-party Irregular, which was also involved in similar incidents involving Meta and OpenAI.

According to WSJ, Google didn’t disclose the hack because it didn’t consider it to be an “example of model misalignment.” The company said that it was an instance of “mistaken identity,” and once the model realized it had brute-forced its way into a real company by guessing a password, it stopped. “In this case, the model acted appropriately,” Google VP of Security Engineering Heather Adkins said.