Danny Ki
@dannykii.bsky.social
Co-founder @ That’s Gonna Help | Growth & Automation Strategist | Web3, FinTech | AI Agents & Data Engineering
🧠 Rare longreads:
https://substack.com/@dannyki
🧠 Rare longreads:
https://substack.com/@dannyki
Pinned
Danny Ki
@dannykii.bsky.social
· Jun 14
Just landed on Bluesky! Excited to connect and build an awesome community. If you're new here too, let's link up and grow together!
Static AI workflows are a train on a fixed track.
They run perfectly, until the user needs to go somewhere new.
Dynamic agents are different. They build the track as they go.
One follows a map. The other explores the territory.
#AI #Agents #Engineering
They run perfectly, until the user needs to go somewhere new.
Dynamic agents are different. They build the track as they go.
One follows a map. The other explores the territory.
#AI #Agents #Engineering
August 31, 2025 at 7:32 AM
Static AI workflows are a train on a fixed track.
They run perfectly, until the user needs to go somewhere new.
Dynamic agents are different. They build the track as they go.
One follows a map. The other explores the territory.
#AI #Agents #Engineering
They run perfectly, until the user needs to go somewhere new.
Dynamic agents are different. They build the track as they go.
One follows a map. The other explores the territory.
#AI #Agents #Engineering
Building agents without observability is a dead end.
You're flying blind, guessing why things break.
Langfuse gives you x-ray vision on every step, tool, and cost.
It's the difference between building toys and production systems.
#AI #LLM #Observability
You're flying blind, guessing why things break.
Langfuse gives you x-ray vision on every step, tool, and cost.
It's the difference between building toys and production systems.
#AI #LLM #Observability
August 30, 2025 at 5:31 PM
Building agents without observability is a dead end.
You're flying blind, guessing why things break.
Langfuse gives you x-ray vision on every step, tool, and cost.
It's the difference between building toys and production systems.
#AI #LLM #Observability
You're flying blind, guessing why things break.
Langfuse gives you x-ray vision on every step, tool, and cost.
It's the difference between building toys and production systems.
#AI #LLM #Observability
We're not just giving AI a memory, we're teaching it to build one.
Every conversation becomes a note.
Every note is linked to others, creating a web of context.
This memory evolves, making the AI a true, long-term collaborator.
#AI #Zettelkasten #LLMs
Every conversation becomes a note.
Every note is linked to others, creating a web of context.
This memory evolves, making the AI a true, long-term collaborator.
#AI #Zettelkasten #LLMs
August 22, 2025 at 8:15 AM
We're not just giving AI a memory, we're teaching it to build one.
Every conversation becomes a note.
Every note is linked to others, creating a web of context.
This memory evolves, making the AI a true, long-term collaborator.
#AI #Zettelkasten #LLMs
Every conversation becomes a note.
Every note is linked to others, creating a web of context.
This memory evolves, making the AI a true, long-term collaborator.
#AI #Zettelkasten #LLMs
Why should an AI pay attention to everything all the time?
It shouldn't. The future is Native Sparse Attention.
It combines compressed, selected, and sliding attention.
This allows the model to focus compute only on what truly matters.
#DeepLearning #AI #Attention
It shouldn't. The future is Native Sparse Attention.
It combines compressed, selected, and sliding attention.
This allows the model to focus compute only on what truly matters.
#DeepLearning #AI #Attention
August 21, 2025 at 4:18 PM
Why should an AI pay attention to everything all the time?
It shouldn't. The future is Native Sparse Attention.
It combines compressed, selected, and sliding attention.
This allows the model to focus compute only on what truly matters.
#DeepLearning #AI #Attention
It shouldn't. The future is Native Sparse Attention.
It combines compressed, selected, and sliding attention.
This allows the model to focus compute only on what truly matters.
#DeepLearning #AI #Attention
An AI's memory will have conflicts. This is inevitable.
The solution isn't a smarter AI that never errs.
It's a better user interface for human verification.
The future of AI is collaborative truth, with the user in control.
#AIUX #HumanInTheLoop #AGI
The solution isn't a smarter AI that never errs.
It's a better user interface for human verification.
The future of AI is collaborative truth, with the user in control.
#AIUX #HumanInTheLoop #AGI
August 21, 2025 at 8:15 AM
An AI's memory will have conflicts. This is inevitable.
The solution isn't a smarter AI that never errs.
It's a better user interface for human verification.
The future of AI is collaborative truth, with the user in control.
#AIUX #HumanInTheLoop #AGI
The solution isn't a smarter AI that never errs.
It's a better user interface for human verification.
The future of AI is collaborative truth, with the user in control.
#AIUX #HumanInTheLoop #AGI
Not all attention is created equal.
Standard Multi-Head Attention is powerful but costly.
Grouped-Query Attention (GQA) is the smarter evolution.
It's about balancing performance and efficiency to build faster LLMs.
#AI #Transformers #LLM
Standard Multi-Head Attention is powerful but costly.
Grouped-Query Attention (GQA) is the smarter evolution.
It's about balancing performance and efficiency to build faster LLMs.
#AI #Transformers #LLM
August 20, 2025 at 5:17 PM
Not all attention is created equal.
Standard Multi-Head Attention is powerful but costly.
Grouped-Query Attention (GQA) is the smarter evolution.
It's about balancing performance and efficiency to build faster LLMs.
#AI #Transformers #LLM
Standard Multi-Head Attention is powerful but costly.
Grouped-Query Attention (GQA) is the smarter evolution.
It's about balancing performance and efficiency to build faster LLMs.
#AI #Transformers #LLM
How does an AI truly learn from you?
It's not just listening, it's attribute mining.
It turns your conversation into structured memory.
This is how AI moves from just processing words to understanding your world.
#AI #LLM #DataMining
It's not just listening, it's attribute mining.
It turns your conversation into structured memory.
This is how AI moves from just processing words to understanding your world.
#AI #LLM #DataMining
August 20, 2025 at 8:12 AM
How does an AI truly learn from you?
It's not just listening, it's attribute mining.
It turns your conversation into structured memory.
This is how AI moves from just processing words to understanding your world.
#AI #LLM #DataMining
It's not just listening, it's attribute mining.
It turns your conversation into structured memory.
This is how AI moves from just processing words to understanding your world.
#AI #LLM #DataMining
An open model is a ghost without its history.
True open source isn't just the weights, but the raw data and scarred training logs.
Projects like LLM360 K2 show the whole war, not just the victory parade-loss spikes, bugs, and all.
#OpenSource #LLM #AI
True open source isn't just the weights, but the raw data and scarred training logs.
Projects like LLM360 K2 show the whole war, not just the victory parade-loss spikes, bugs, and all.
#OpenSource #LLM #AI
August 18, 2025 at 5:53 PM
An open model is a ghost without its history.
True open source isn't just the weights, but the raw data and scarred training logs.
Projects like LLM360 K2 show the whole war, not just the victory parade-loss spikes, bugs, and all.
#OpenSource #LLM #AI
True open source isn't just the weights, but the raw data and scarred training logs.
Projects like LLM360 K2 show the whole war, not just the victory parade-loss spikes, bugs, and all.
#OpenSource #LLM #AI
Hybrid Deep Research Architecture
Why choose one path when you can have the best of both?
It uses efficient pipelines for common, well-known user intents.
And unleashes flexible multi-agent systems for novel and complex research tasks.
#AI #DeepResearch
Why choose one path when you can have the best of both?
It uses efficient pipelines for common, well-known user intents.
And unleashes flexible multi-agent systems for novel and complex research tasks.
#AI #DeepResearch
August 18, 2025 at 8:31 AM
Hybrid Deep Research Architecture
Why choose one path when you can have the best of both?
It uses efficient pipelines for common, well-known user intents.
And unleashes flexible multi-agent systems for novel and complex research tasks.
#AI #DeepResearch
Why choose one path when you can have the best of both?
It uses efficient pipelines for common, well-known user intents.
And unleashes flexible multi-agent systems for novel and complex research tasks.
#AI #DeepResearch
Deep Agents are not a single entity.
They are a system that creates temporary sub-agents to solve problems.
These sub-agents are given one job, report back a single answer, and then vanish.
#AI #Agents #Programming
They are a system that creates temporary sub-agents to solve problems.
These sub-agents are given one job, report back a single answer, and then vanish.
#AI #Agents #Programming
August 17, 2025 at 4:12 PM
Deep Agents are not a single entity.
They are a system that creates temporary sub-agents to solve problems.
These sub-agents are given one job, report back a single answer, and then vanish.
#AI #Agents #Programming
They are a system that creates temporary sub-agents to solve problems.
These sub-agents are given one job, report back a single answer, and then vanish.
#AI #Agents #Programming
Multi-Agent Deep Research Architecture.
Forget the assembly line. This is a team of specialists.
Each has its own memory, collaborating via a shared message bus.
A coordinator directs their dynamic flow to solve truly complex problems.
#AI #AIAgents #DeepResearch
Forget the assembly line. This is a team of specialists.
Each has its own memory, collaborating via a shared message bus.
A coordinator directs their dynamic flow to solve truly complex problems.
#AI #AIAgents #DeepResearch
August 17, 2025 at 8:29 AM
Multi-Agent Deep Research Architecture.
Forget the assembly line. This is a team of specialists.
Each has its own memory, collaborating via a shared message bus.
A coordinator directs their dynamic flow to solve truly complex problems.
#AI #AIAgents #DeepResearch
Forget the assembly line. This is a team of specialists.
Each has its own memory, collaborating via a shared message bus.
A coordinator directs their dynamic flow to solve truly complex problems.
#AI #AIAgents #DeepResearch
Sub-agents are focused black boxes.
They get a task, do the work, then disappear.
Their only output is a final message, ensuring modularity and focused results.
#AI #Agents #DesignPatterns
They get a task, do the work, then disappear.
Their only output is a final message, ensuring modularity and focused results.
#AI #Agents #DesignPatterns
August 16, 2025 at 4:50 PM
Sub-agents are focused black boxes.
They get a task, do the work, then disappear.
Their only output is a final message, ensuring modularity and focused results.
#AI #Agents #DesignPatterns
They get a task, do the work, then disappear.
Their only output is a final message, ensuring modularity and focused results.
#AI #Agents #DesignPatterns
Pipeline-Base Deep Research Architecture.
A fixed path for a complex journey.
The pipeline architecture breaks research into focused, sequential stages.
Its highly modular design is its strength, ensuring every result is reproducible.
#AI #DeepResearch #Architecture
A fixed path for a complex journey.
The pipeline architecture breaks research into focused, sequential stages.
Its highly modular design is its strength, ensuring every result is reproducible.
#AI #DeepResearch #Architecture
August 16, 2025 at 8:26 AM
Pipeline-Base Deep Research Architecture.
A fixed path for a complex journey.
The pipeline architecture breaks research into focused, sequential stages.
Its highly modular design is its strength, ensuring every result is reproducible.
#AI #DeepResearch #Architecture
A fixed path for a complex journey.
The pipeline architecture breaks research into focused, sequential stages.
Its highly modular design is its strength, ensuring every result is reproducible.
#AI #DeepResearch #Architecture
Deep Agents don't need a real file system.
They use a virtual one, stored as a simple dictionary.
This allows for scalable file tracking and parallel operations without the overhead.
#AI #Agents #Engineering
They use a virtual one, stored as a simple dictionary.
This allows for scalable file tracking and parallel operations without the overhead.
#AI #Agents #Engineering
August 15, 2025 at 5:44 PM
Deep Agents don't need a real file system.
They use a virtual one, stored as a simple dictionary.
This allows for scalable file tracking and parallel operations without the overhead.
#AI #Agents #Engineering
They use a virtual one, stored as a simple dictionary.
This allows for scalable file tracking and parallel operations without the overhead.
#AI #Agents #Engineering
Monolithic Deep Research Architecture: simple to build, a beast to scale.
A single model controls everything, creating high reasoning coherence.
But this tightly coupled design makes it rigid and very difficult to extend over time.
#AI #LLM #DeepResearch
A single model controls everything, creating high reasoning coherence.
But this tightly coupled design makes it rigid and very difficult to extend over time.
#AI #LLM #DeepResearch
August 15, 2025 at 8:22 AM
Monolithic Deep Research Architecture: simple to build, a beast to scale.
A single model controls everything, creating high reasoning coherence.
But this tightly coupled design makes it rigid and very difficult to extend over time.
#AI #LLM #DeepResearch
A single model controls everything, creating high reasoning coherence.
But this tightly coupled design makes it rigid and very difficult to extend over time.
#AI #LLM #DeepResearch
Deep Agents are going deeper than ever before.
Using a React loop on LangGraph, they now plan over long horizons.
This architecture enables them to tackle complex problems with tools and sub-agents.
#AI #Agents #LangChain
Using a React loop on LangGraph, they now plan over long horizons.
This architecture enables them to tackle complex problems with tools and sub-agents.
#AI #Agents #LangChain
August 14, 2025 at 6:40 PM
Deep Agents are going deeper than ever before.
Using a React loop on LangGraph, they now plan over long horizons.
This architecture enables them to tackle complex problems with tools and sub-agents.
#AI #Agents #LangChain
Using a React loop on LangGraph, they now plan over long horizons.
This architecture enables them to tackle complex problems with tools and sub-agents.
#AI #Agents #LangChain