17 connected korrents · 17 moments from 21 Mar 2023 to 22 Sept 2026.
At the centre
Every abstraction in agentic programming — RAG, memory, agentic history, structured output — is just a different way of passing tokens into a model, and understanding that beats learning any of them.
Last stated 15 Jul 2026 · 3 months ago
Holds
Dex Horthy
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Similar wording
With AI, work is moving up the layers of abstraction, but the more context someone has about how things work under the hood, the better equipped they are to debug and build resilient things.
Last stated 25 Mar 2026 · 7 months ago
Holds
Flora Guo
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Similar wording
Rust may be the best language for AI agents to write, because the compiler gives an agent the feedback that tells it what to fix.
Last stated 20 May 2026 · 5 months ago
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Alice Ryhl
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Similar wording
The code today’s models and agents write is very hard to follow: you get better performance without knowing why, and no way to fix it when it breaks.
Last stated 19 Jul 2026 · 3 months ago
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Elizabeth Stone
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Similar wording
What limits you with coding agents is your own skill at stringing them together, not the capability of the models.
Last stated 20 Mar 2026 · 7 months ago
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Andrej Karpathy
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Similar wording
Using an AI system to write code is delegating a task to a non-deterministic agent, not using a new layer of abstraction.
Last stated 8 Sept 2025 · a year ago
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Rakhim Davletkaliyev
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Similar wording
Making a product work for agents is probably largely a matter of building the right primitives into it, almost as an infrastructural layer.
Last stated 10 Sept 2026 · a month ago
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Mike Krieger
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Similar wording
Much of the defensive engineering built into agentic systems exists because tokens have been scarce, not because it is fundamentally necessary.
Last stated 22 Sept 2026 · a month ago
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Harper Reed
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Similar wording
Maintaining a duplicate set of prototype code is no burden for an agent; agents are incredibly good translators between code conventions.
Last stated 18 Aug 2026 · 2 months ago
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Patrick Morgan
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Same subject: LLMs
A badly written AI outbound email is evidence of a bad vendor, not of a limit of AI.
Last stated 1 Jan 2026 · 10 months ago
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Jason Lemkin
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Same subject: LLMs
A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to.
Last stated 15 Jul 2026 · 3 months ago
Holds
Dex Horthy
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Same subject: LLMs
A body of publications is easy for AI models to consume via pretraining corpora but cumbersome for most humans due to CAPTCHAs, accounts, and paywalls.
Last stated 17 Sept 2026 · a month ago
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Patrick Collison
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Same subject: Anthropic
A strength of Claude is that it is good at ranking your options, lowest risk and least expensive first.
Last stated 16 Jun 2026 · 4 months ago
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Brett Williams
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Same subject: Anthropic
Among the misuse threats in Anthropic's threat disruption report, distillation is by far the most important and will have the most impact.
Last stated 15 Sept 2026 · a month ago
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Zvi Mowshowitz
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Same subject: Anthropic
Anthropic prices its Claude subscription plans as loss leaders relative to its own API rates.
Last stated 19 Sept 2026 · a month ago
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Brad DeLong
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Same subject: OpenAI
A tiny language model inventing a plausible-sounding name is the same phenomenon as a large one confidently stating a false fact.
Last stated 12 Feb 2026 · 8 months ago
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Andrej Karpathy
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Same subject: OpenAI
AI should be released iteratively rather than built in secret, because AI and surprise do not go together and the world needs time to adapt before it is under the gun.
Last stated 18 Mar 2024 · 3 years ago
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Sam Altman
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Same subject: OpenAI
An AI can already earn an A on a university economics midterm, years earlier than informed forecasters expected.
Last stated 21 Mar 2023 · 4 years ago
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Bryan Caplan