🚀 AI & Tech News - 2026/09/21
Tesla's Full Self-Driving (FSD) technology has become the only new vehicle that makes sense in 2026. FSD drives you around better than any chauffeur, with superhuman reaction speed and 8 eyes watching all around you at all times. This article explains why FSD is the future of transportation.
Key Points:
FSD Technology: Tesla's FSD technology uses a combination of cameras, sensors, and machine learning algorithms to navigate roads and avoid obstacles.
Superhuman Reaction Speed: FSD's reaction speed is faster than any human driver, allowing it to respond to unexpected situations in real-time.
8 Eyes Watching: FSD's 8 cameras provide a 360-degree view of the surroundings, allowing it to detect and respond to potential hazards.
🔗 Resources:
Tesla FSD
🤖 Coding Agents - Infrastructure Question
Coding agents are moving fast from prototype to production, but the infrastructure question remains. This article explains what it takes to build coding agents on open models and run them at scale.
Key Points:
Coding Agents: Coding agents are software programs that can perform tasks autonomously, using machine learning algorithms and natural language processing.
Open Models: Open models are pre-trained language models that can be fine-tuned for specific tasks, providing a foundation for coding agents.
Infrastructure: Building and running coding agents requires a robust infrastructure, including cloud computing, data storage, and security measures.
🔗 Resources:
Coding Agents
📊 Real User Signals - Prioritizing Backlog
Everyone has an opinion on what to build next, but your data does too. This article explains how to use real user signals and your own data to decide what actually belongs at the top of your backlog.
Key Points:
Real User Signals: Real user signals are data points that indicate user behavior and preferences, providing insights into what features to prioritize.
Data-Driven Decision Making: Using data to inform decision making ensures that features are built based on user needs, rather than opinions.
Prioritizing Backlog: Prioritizing the backlog based on real user signals and data ensures that the most valuable features are built first.
🔗 Resources:
Real User Signals
📈 Tableau Next - Proactive Agentic Analytics
Get personalized, proactive agentic analytics directly where you work. Tableau Next and Slackbot empower thousands across our own sales teams.
Key Points:
Tableau Next: Tableau Next is a next-generation analytics platform that provides proactive agentic analytics.
Slackbot: Slackbot is a chatbot that provides real-time analytics and insights to sales teams.
Proactive Agentic Analytics: Proactive agentic analytics provides personalized insights and recommendations to sales teams, enabling them to make data-driven decisions.
🔗 Resources:
Tableau Next
🚀 Kubernetes Spend - Traceable to Each Team
To make Kubernetes spend traceable to each team, using a consistent label taxonomy, Prometheus recording rules on resource requests, policy enforcement, and chargeback reporting.
Key Points:
Consistent Label Taxonomy: A consistent label taxonomy ensures that Kubernetes resources are properly labeled and tracked.
Prometheus Recording Rules: Prometheus recording rules provide real-time insights into Kubernetes resource usage.
Policy Enforcement: Policy enforcement ensures that teams adhere to resource usage policies.
Chargeback Reporting: Chargeback reporting provides detailed insights into resource usage, enabling teams to make data-driven decisions.
🔗 Resources:
Kubernetes Spend
📚 Valuable News - 2026/09/21
Latest Valuable News - 2026/09/21 is available. This article provides a summary of the latest news and updates in the tech industry.
Key Points:
Valuable News: Valuable News provides a summary of the latest news and updates in the tech industry.
Tech Industry: The tech industry is constantly evolving, with new innovations and updates emerging every day.
Stay Informed: Staying informed about the latest news and updates is essential for staying ahead in the tech industry.
🔗 Resources:
Valuable News
📝 Gold Tips - Narrow Down Focus
Gold tips from @RetVet99 here. This article provides tips on how to narrow down focus and prioritize tasks.
Key Points:
Narrow Down Focus: Narrowing down focus ensures that tasks are prioritized and completed efficiently.
Prioritize Tasks: Prioritizing tasks ensures that the most important tasks are completed first.
Efficient Task Completion: Efficient task completion enables teams to complete tasks quickly and effectively.
🔗 Resources:
Gold Tips
🐚 bhyve-sylve Prometheus Metrics
For those on #FreeBSD who need or want Prometheus metrics relative to bhyve-sylve, there is a git repo to watch.
Key Points:
bhyve-sylve: bhyve-sylve is a virtualization platform that provides a high-performance environment for running virtual machines.
Prometheus Metrics: Prometheus metrics provide real-time insights into bhyve-sylve performance.
Git Repo: The git repo provides a centralized location for tracking bhyve-sylve Prometheus metrics.
🔗 Resources:
bhyve-sylve
📝 Personal News - Leaving TechCrunch
~ Personal news ~ I left TechCrunch. I will now focus on finishing my book about Hacking Team and the history of government spyware. After that, and in the meantime, I will be freelancing.
Key Points:
Leaving TechCrunch: Leaving TechCrunch enables me to focus on new projects and opportunities.
Book About Hacking Team: The book about Hacking Team and the history of government spyware provides a comprehensive overview of the topic.
Freelancing: Freelancing enables me to work on a variety of projects and clients.
🔗 Resources:
Personal News
🤖 The Golden Rule of AI
"The Golden Rule of AI: Don’t use AI to save yourself time by wasting someone else’s." @shaneparrish I'm good with that.
Key Points:
The Golden Rule of AI: The Golden Rule of AI provides a guiding principle for using AI in a responsible and ethical manner.
Responsible AI Use: Responsible AI use ensures that AI is used to benefit society, rather than to harm it.
Ethical AI Development: Ethical AI development ensures that AI is developed and used in a way that is fair and transparent.
🔗 Resources:
The Golden Rule of AI
