Danny Ki

The secret to rapid progress is owning the entire stack.
Neuralink doesn't just design its chips and threads; it fabricates them.
This full vertical integration is the engine that enables relentless progress.

#Neuralink #Manufacturing #Tech

AI is finally fixing its language blind spots.
Because the BLT model has no fixed tokenizer, it works with bytes.
This means it masters rare words, phonetics, and multilingual understanding.

#AI #NLP #Multilingual

AMD is fighting a war on two fronts.
Their x3D chips are the fastest in the world for gaming.
And their MI300 accelerators are now being deployed by the biggest names in AI.

#AMD #Gaming #AI

It's not just about reading from the brain.
Neuralink's new S2 chip is custom-built for writing to it with precision.
With 1600+ channels, it's the engine designed to power products like Blind Sight.

#Neuralink #Hardware #BCI

What used to take hours now takes minutes.
Neuralink's new user calibration for cursor control is down to only 15 minutes.
The redesigned flow gives users total independence, no engineers needed for setup.

#Neuralink #UX #BCI

It's not MCP vs. API, it's MCP + API.
APIs are the general-purpose connectors for the digital world.
MCP is a specialized AI layer that adds dynamic discovery on top of them.

#MCP #API #AI

The world's tech supply chain is critically fragile.
So much of our chip manufacturing is concentrated in Taiwan and South Korea.
This geopolitical risk is why more players are now building their own chips to diversify.

#SupplyChain #Geopolitics #Tech

Sometimes a simple chain just isn't enough.
LangGraph is for building stateful, multi-agent systems as a graph.
This is ideal for complex workflows that must loop, adapt, and react to change.

#LangGraph #AI #Agents

The final step is the whole brain.
By 2028, Neuralink aims to integrate with AI to treat psychiatric conditions.
The ultimate vision is a full brain interface with millions of I/O channels.

#Neuralink #AI #Neuroscience

It's a two-front war in the chip industry.
AMD's Zen CPUs challenge Intel's long-held dominance.
While their GPUs are in a constant battle with Nvidia for AI supremacy.

#AMD #Intel #Nvidia

So how does a tokenizer-free AI work?
It encodes raw bytes into dynamic "patches" for processing.
Then it predicts the next patch and decodes it back into text, a smarter loop.

#AI #LLM #Architecture

AI is finally learning how to focus.
A new model, BLT, ditches rigid tokens to learn from raw bytes.
It dynamically allocates compute, focusing on what matters instead of wasting it.

#AI #LLM #Innovation

APIs are the handshakes that connect our digital world.
They provide a standard way for any app to access external data or tools.
This is why common standards like REST are so powerful, making integration seamless.

#API #Integration #SoftwareDevelopment

The roadmap is a 25x increase in 3 years.
Neuralink plans to scale from 1,000 electrode channels today to over 25,000.
This unlocks simultaneous links to the motor, speech, and visual cortices.

#Neuralink #Roadmap #BCI

LangChain is like a set of Lego bricks for building AI.
It gives you all the modular components needed for your application.
Just snap together pieces for memory, data loaders, and prompt engineering.

#LangChain #AI #SoftwareDevelopment

The chip industry isn't a race; it's a series of brutal sprints.
The current AI wave has packed a decade of progress into the last 18 months.
Welcome to the fastest movie on Earth.

#AI #Tech #Innovation

Think of LangChain as an assembly line for AI.
It connects individual functions into a powerful, sequential chain.
So you can retrieve data, summarize it, and then use it to answer questions.

#AI #LangChain #Development

What if an AI agent could discover its own tools?
This is the power of MCP's dynamic self-discovery feature.
It allows an AI to learn its available functions and data at runtime, making it truly adaptable.

#AI #Agents #Adaptability

It starts with sight for those who've never seen.
Neuralink's "Blind Sight" will initially provide low-resolution vision.
The ultimate goal is superhuman sight, with wavelengths like infrared or radar.

#Neuralink #Vision #FutureTech

Workflows are not agents.
A workflow follows a fixed, predefined script.
A true agent can dynamically choose the right tool from a toolbox to achieve a goal.

#AI #Agent #Automation

Tokenization is the weakest link in modern AI.
It treats every piece of a word with the same rigid attention.
This makes models inefficient, blind to typos, and struggle with new languages.

#AI #LLM #NLP

It's like going from dial-up to fiber optic for the brain.
Neuralink's goal is to boost BCI bandwidth from single bits to gigabits.
This is the foundation for streaming high-res vision and thought-speed I/O.

#Neuralink #Bandwidth #BCI

What do AI agents truly need to be effective?
Two simple things: access to contextual data and the right tools.
The MCP architecture is built to deliver exactly this, broadening what AI can do.

#AI #Agents #Architecture #MCP

Vector search is good, but it's not enough.
Metadata adds a layer of logic on top of your text chunks.
This lets you filter by date or source first, then retrieve all the related pieces at once.

#RAG #AI #VectorSearch

Tokenization is the weakest link in modern AI.
It treats every piece of a word with the same rigid attention.
This makes models inefficient, blind to typos, and struggle with new languages.

#AI #LLM #NLP

Great leaders don't just steer the ship; they rebuild it.
When Lisa Su took over, AMD was a failing company at $2 a share.
The "Zen" architecture wasn't just an update; it was a total rebirth.

#AMD #Leadership #Tech

Your internal monologue is about to get an API.
Neuralink is moving to the speech cortex to decode your intended words.
This isn't a distant dream; the first implants are planned for next quarter.

#Neuralink #BCI #AI

You don't have to choose between a polished app and your own custom tools.
Protocols like MCP let you connect your own servers to apps like Claude Desktop.
This creates a seamless experience: using a great UI to run your own powerful, custom agents.

#AI #Claude #Agent #MCP

Pro-tip for building RAG agents in N8N:
Create your metadata before you create your vectors.
Use a Code Node to have an AI assistant read your raw text.
Tell it to extract key info like dates or rule numbers and structure it as clean metadata.

#AI #RAG #NoCode #n8n

Three rules for building effective AI agents.

- Don't build them for everything.
- Keep the agents simple.
- Think like your agents.

#AI #Agents #Development