AI builder. Founder. Operator log.
Carlos KiK
RSS FeedI write from inside the build: AI, persistent memory, founder reality, and the future of human-machine connection. I am currently building KAi at Digital Human Corporation in Seoul.
This site is the public notebook for the work around it: what is changing in AI, what I am learning while building, and what it costs to keep going when the obvious path is not available.
Current Bet
DHC, KAi, persistent memory, and the long fight to build useful AI without turning people into engagement inventory.
The working thesis is simple: the next serious AI companion category is not about hotter chatbots. It is about memory, trust, privacy, continuity, and whether the system helps people return to real life with more clarity.
ckik.dev tracks that thesis in public through daily AI analysis, founder notes, and the story behind the company. Some pieces are fast dispatches. Some are long arcs. The center of gravity is always the same: what is real, what matters, and what I would bet my own time on.
For the company-side version, read The Architect .
Follow The Lab
AI Intel
The daily signal: models, agents, robotics, memory, compute, security, and the product moves that matter.
Startup Life
Founder reality from Seoul: public story arcs, technical scars, hard lessons, and the cost of building for real.
DHC And KAi
The company and companion I am building around persistent memory, privacy, and adult AI support.
- Field notes from the AI frontier
- Decision ledgers from the build
- Founder stories with the dangerous parts filtered correctly
- Unsung heroes behind the systems everyone uses
Recent Posts
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Microsoft Is Making Agent Cost A Product Feature
Microsoft's June 16 AI post frames model diversity, Agent 365, and Copilot Cowork usage pricing as the enterprise cost layer agents need.
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NVIDIA XR AI Puts Agents Where The Work Is Happening
NVIDIA XR AI public beta shows the next agent interface may be AR glasses: multimodal perception, retrieval, and tool use in live work.
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OpenAI Deployment Simulation Turns Safety Into A Rehearsal
OpenAI's Deployment Simulation shows why frontier labs need pre-release traffic replay, not just benchmark evals, before new models meet users.
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NVIDIA AgentPerf Makes Agent Serving A Datacenter Metric
NVIDIA's AA-AgentPerf results show why agent workloads need new infrastructure benchmarks built around concurrent sessions, tool calls, and latency.
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OpenAI Memory Controls Are Becoming The Trust Interface
OpenAI's new ChatGPT memory controls show why personal AI needs editable, visible, reversible memory before users can trust deeper personalization.
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GitHub Agentic Workflows Put Agents Inside The CI Pipeline
GitHub Agentic Workflows moves coding agents from one-off chats into reusable Actions automation, with controls that matter for real engineering teams.
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DiffusionGemma Is A Reminder That Token-By-Token Is Not Sacred
Google's DiffusionGemma explores parallel text generation, bidirectional context, and self-correction as an alternative path for faster local AI.
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Claude Fable 5 Shows The Frontier Model Split Getting Real
Anthropic's Fable 5 and Mythos 5 launch shows a practical frontier AI pattern: broad access for guarded capability, restricted access for higher-risk power.