Context
topic on 12 shows · 16 statements across 15 episodes · said 5 times in 3 episodes since 2023
David Senra 3 
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David Senra 3the MAD Podcast 1the a16z Podcast 1
2026 3 mentions in 1 episode
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16 statements about Context, every show
Sankar: AI needs context to achieve agentic outcomes
“Every AI use case, if you want to go towards agentic outcomes is going to need context.”
Sankar: Enterprise context will be the defining moat and proprietary IP in AI
“It is going to be company IP. It is going to be the true differentiator or the moat in this new world.”
AI Agents Produce Mediocre Output Without Detailed Personal Context
“Agent will just produce an average for you unless you feed it detailed enough context and instructions.”
Petersson: Multi-agent conversations inevitably converge to default helpfulness over time
“My hypothesis is that like deep down, they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other then like, B…”
Asawa: AI 'slop' is fundamentally AI operating without context
“A writing that doesn't feel like your own, and then we call that slop, but the way I describe one framing of slop is, like, AI without context”
Halliday: Context Matters Far More Than Raw AI Model Capability
“And so to get the most from an AI model, it's much less so the capability of the model, it's much more so the context that you can have available for the model, right?”
Badam: AI fails to create value because it lacks workflow context
“Where is AI failing to create value today, it's mainly about not understanding the context. And the reason that it's not understanding the context is it's not plugged into the right places where actual work is happening.”
Baking static context directly into models outperforms relying on dynamic prompting
“One of the best ways to bring the right context to the models is actually to do a deep customization of the models. Not all context is dynamic. A lot of context is also, you know, changes at a much slower rate. That context being baked into the model makes the…”
Zach Lloyd: Context, Not Reasoning, Is the Main Limit for AI Coding
“I think that the, increasingly the limit that we see is context. And like the reasoning capabilities of the models are pretty impressive. The problem is like, Understanding an entire code base or understanding sources outside of the code or literally just unde…”
Migoya: Current AI models are already sufficient if given the right context
“The current systems we have, the current technology we have, if you put the right context, it is the right answer. And you can decrease a lot hallucination percentages just by creating the right context.”
Balfour: Apple is best positioned in AI distribution due to device context
“My hypothesis of who's best Positioned, but is not executing on it right now would actually be Apple because through the devices, they basically can see everything. So they have the ultimate view into your context, right?”
Taylor: Bad outputs from capable AI models are almost always context failures
“And I think that almost always when you have a model making a poor decision, if it's a good model, it's lack of context.”
Brown: Excess context degrades AI prototyping tool performance
“In any of these apps, the less context you have in, the better, unless it's relevant. And if you want to iterate on it, I recommend forking, because if you have all of that context in here, it's just going to start performing worse.”
Rusic highlights London-based LLM observability startup Context
“One company I like is, for example, Context from London.”
Moesta: Understanding context reveals why seemingly irrational user behavior is rational
“The context makes the irrational rational. So the moment you hear a story and you go, I can't believe that nine times out of 10, it's because you don't have the rest of the story.”