Gradient Flow
Articles about Gradient Flow
Eight Security Assumptions AI Agents Quietly Break
If you check Ethics.Dev regularly, you may have noticed how often AI agents and cybersecurity have been colliding lately. Some of the stories sound straight out of movies: agents escaping test environments, communicating through channels nobody intended, finding vulnerabilities, stealing credentials, and reaching production systems. The part I think deserves more attention is less dramatic.Continue reading "Eight Security Assumptions AI Agents Quietly Break"
The part of the AI security story I keep thinking about
Subscribe • Previous Issues Eight Security Assumptions AI Agents Quietly Break If you check Ethics.Dev regularly, you may have noticed how often AI agents and cybersecurity have been colliding lately. Some of the stories sound straight out of movies: agents escaping test environments, communicating through channels nobody intended, finding vulnerabilities, stealing credentials, and reaching production systems. TheContinue reading "The part of the AI security story I keep thinking about"
The AI Data Problem Moved Downstream
Last year I wrote that robotics had a data problem language models were lucky enough to avoid. Text, images, and code had accumulated for decades before anyone decided to train models on them. Robots had no comparable internet of physical experience. That distinction is starting to look less clean. Recent systems have trained on enormousContinue reading “The AI Data Problem Moved Downstream”
Something changed in how AI gets fed
Subscribe • Previous Issues The AI Data Problem Moved Downstream Last year I wrote that robotics had a data problem language models were lucky enough to avoid. Text, images, and code had accumulated for decades before anyone decided to train models on them. Robots had no comparable internet of physical experience. That distinction is starting to lookContinue reading “Something changed in how AI gets fed”
Six Reasons I Think Open AI Models Will Win
In my conversations with developers and AI teams, I’m struck by how many are exploring moving more of their inference workloads to open models. I’ve touched on some of their reasons before , but here I want to look further ahead. I’ll admit my bias toward open source. I was around during the dot-com eraContinue reading “Six Reasons I Think Open AI Models Will Win”
Not Every AI Task Needs an LLM
LLMs are built to generate text, but a surprising amount of AI automation does not need text at all. It needs a small decision: Is this spam? Which team should get this ticket? How urgent is it? We can force an LLM to return structured output, but it is still generating that answer token byContinue reading “Not Every AI Task Needs an LLM”
Stale Data Used to Be Annoying
Imagine a procurement agent checking inventory and deciding that stock has fallen below the reorder threshold. It places another order. The problem is that a large delivery was recorded a few minutes earlier, and the copy of the data the agent queried has not caught up. A dashboard running on stale data might show youContinue reading “Stale Data Used to Be Annoying”
Your AI might be fine but your data is lying to it
Subscribe • Previous Issues Stale Data Used to Be Annoying Imagine a procurement agent checking inventory and deciding that stock has fallen below the reorder threshold. It places another order. The problem is that a large delivery was recorded a few minutes earlier, and the copy of the data the agent queried has not caught up. AContinue reading “Your AI might be fine but your data is lying to it”
When Work History Becomes an AI Asset
Google recently agreed to pay $10 million for the internal business data of Spirit Airlines. The airline is bankrupt, but its emails, Teams messages, software, spreadsheets, and operating records apparently still have value. Google plans to use the material for product development and AI. Spirit’s flight attendants objected to the sale and sought additional protectionsContinue reading “When Work History Becomes an AI Asset”
So Google just paid $10 million for an airline’s Teams messages
Subscribe • Previous Issues When Work History Becomes an AI Asset Google recently agreed to pay $10 million for the internal business data of Spirit Airlines. The airline is bankrupt, but its emails, Teams messages, software, spreadsheets, and operating records apparently still have value. Google plans to use the material for product development and AI. Spirit’s flightContinue reading "so Google just paid $10 million for an airline’s Teams messages"
I keep thinking about these 17,600 attempts
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why your data stack is about to get less forgiving
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What counts as valuable company data is changing
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