58 posts tagged with “ai”.
An AI agent hijacked GPUs to mine crypto without being told to. Vibe-coded apps ship with 2.7x more security holes. We are building autonomous systems faster than we can govern them.
The open source AI ecosystem is no longer chasing proprietary models; it is building the infrastructure layer that proprietary systems depend on
AI agents matured from demos to production systems, and the Model Context Protocol is the connective tissue making it all work
A year-end reflection on leaving the corporate world, building open source full-time, and what it means to bet your career on autonomous AI systems
The final quarter of 2025 brought consolidation, enterprise maturation, and the emergence of agent infrastructure as a recognized category
After attending AWS re:Invent for a decade, reflections on how the conference, the cloud industry, and my own perspective have evolved
MediCompanion is an open source AI health companion designed for patient education and chronic condition management, with safety as the foundational constraint
The most important AI developments from July through September 2025, from autonomous coding breakthroughs to regulatory shifts
Introducing Autonomi, the parent framework that unifies Loki Mode, LokiMCPUniverse, and the broader ecosystem of autonomous AI tools I have been building
As autonomous AI systems become more capable, the safety conversation needs to move from theoretical concerns to practical engineering constraints
Google's Agent-to-Agent protocol and Anthropic's Model Context Protocol are complementary, not competing, and together they define the agent infrastructure stack
Why I enrolled in MIT's professional education program for AI and machine learning, and what I expect to gain as a practitioner who builds AI systems daily
A technical deep dive into how Loki Mode orchestrates 41 specialized AI agents across 8 swarms using the Reason-Act-Reflect-Verify cycle
The Model Context Protocol is evolving from a specification into an ecosystem, and the marketplace model will define how AI agents access the world
Loki Mode v5.0 introduces provider-agnostic orchestration across Claude, Codex, and Gemini CLI with zero architecture changes
DeepSeek R1 proves that frontier AI research is no longer exclusive to Silicon Valley, and open source is the accelerant
If you lead engineering teams and you are not building with AI tools yourself, you are making decisions based on other people's understanding
Looking back on 2024, the year AI agents went from predictions to production and everything I shipped along the way
AWS re:Invent 2024 signals a fundamental shift: Amazon is rebuilding its cloud platform around AI agents as first-class citizens
Introducing Loki Mode — a multi-agent autonomous system for Claude Code with 41 agent types across 8 swarms
The 2024 US presidential election tested our ability to handle AI-generated misinformation, and the results are sobering
Anthropic's Claude computer use capability lets AI control your screen, keyboard, and mouse, and the implications for agent systems are enormous
Leading AI-powered engineering teams requires a fundamentally different approach than leading traditional cloud infrastructure teams
OpenAI's o1 model introduces a new paradigm: models that think before they answer, with profound implications for AI agent systems
Google's Agent-to-Agent protocol opens a new frontier: AI agents that can discover, communicate with, and delegate to other agents
MCP marketplaces are emerging as the next platform battleground, and the winner will define how AI agents access the world
A deep dive into the Model Context Protocol and why it is the most important infrastructure standard for the AI agent era
Google I/O 2024 made one thing clear: Google is embedding Gemini into every product, every surface, every interaction
Launching LokiMCPUniverse, a collection of enterprise-grade MCP servers that give AI agents access to real tools and infrastructure
NVIDIA GTC 2024 was not just a product launch; it was a declaration that GPU infrastructure is the foundation of the AI era
Anthropic's Claude 3 Opus is not just an incremental improvement; it changes what is possible with AI-assisted engineering
OpenAI's Sora text-to-video model represents a paradigm shift in content creation and raises profound questions about reality
Why 2024 will be the year AI agents move from research demos to production workflow automation
Looking back on a year that transformed AI from a research curiosity into a force reshaping every industry
Mistral AI's Mixtral model demonstrates that mixture of experts architectures can deliver frontier-class performance efficiently
Google launches Gemini, its most capable AI model, built from the ground up for multimodal reasoning
AWS re:Invent 2023 puts generative AI at the center of Amazon's cloud strategy with Bedrock and new services
Sam Altman's firing and rehiring at OpenAI exposes the tensions at the heart of AI development
OpenAI's first developer conference reveals its vision for an AI application platform
Documenting my journey from infrastructure engineer to hands-on AI researcher and builder
The emergence of structured tool use and function calling in LLMs points toward a protocol-driven future for AI integration
Llama 2's open release changes the dynamics of AI development and gives enterprises new deployment options
The AI framework ecosystem is exploding with tools for building LLM-powered applications
Anthropic's Claude model and Constitutional AI represent a fundamentally different philosophy in the AI race
After years in cloud infrastructure, I am making a deliberate shift toward AI and large language models
AutoGPT introduces the concept of autonomous AI agents that can decompose tasks and execute multi-step plans
GPT-4 launches with multimodal capabilities, passing professional exams and setting a new benchmark for AI
Google announces Bard in response to ChatGPT, and the large language model race officially begins
Microsoft's massive investment in OpenAI signals a new era of AI competition among the tech giants
Looking back at a year that saw AI go from research curiosity to mainstream phenomenon, while I published two books and watched the world change
OpenAI just released ChatGPT and it is the first AI product that makes non-technical people understand why artificial intelligence matters
The velocity of AI research has reached a point where even dedicated practitioners cannot keep up with the pace of significant breakthroughs
Stability AI just open-sourced a state-of-the-art image generation model, and the implications of putting this technology in everyone's hands are profound
OpenAI just showed us an AI system that generates photorealistic images from text descriptions, and the implications are staggering
GitHub Copilot and TabNine hint at a future where AI writes code alongside us, and I am paying close attention
OpenAI's GPT-3 paper demonstrates that scaling a language model to 175 billion parameters produces something qualitatively different from what came before
DeepMind's AlphaGo just defeated one of the greatest Go players in history, and this feels fundamentally different from Deep Blue
IBM Watson just defeated Jeopardy champions on live television, and suddenly everyone has an opinion about artificial intelligence