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← Seeing exactly how an agent arrived at an outcome builds a different…
17 connected korrents · 16 moments from 28 Nov 2024 to 28 Sept 2026.
Everything filed under AI agents
AI agents
Everything filed under design
design
Everything filed under AI alignment
AI alignment
Everything filed under coding agents
coding agents
Everything filed under vibe coding
vibe coding Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Same subject Read this korrent: Seeing exactly how an agent arrived at an outcome builds a different level of trust than receiving a polished result with no visibility into the process. Seeing exactly how an agent arrived at an outcome builds a different level of trust than receiving a polished result with no visibility into the process. Last stated 2 weeks ago
21 Sept 2026
LR
Lenny Rachitsky — holds since 2026-09-21 — tap for who they are
Same subject: Unlike code, an agent's knowledge work cannot be judged by its output alone; the process, inputs and reasoning have to be examined too. — tap to centre the map on it Unlike code, an agent's knowledge work cannot be judged by its output alone; the process, inputs and reasoning have to be examined too. Last stated a month ago
30 Aug 2026
TS
Tara Seshan — holds since 2026-08-30 — tap for who they are
Same subject: Users split into two camps on seeing an agent's work, and the split has not faded as trust builds, so an interface has to balance both. — tap to centre the map on it Users split into two camps on seeing an agent's work, and the split has not faded as trust builds, so an interface has to balance both. Last stated 7 months ago
17 Feb 2026
LW
Luke Wroblewski — holds since 2026-02-17 — tap for who they are
Same subject: An AI agent's confidence that something will work is not evidence that it actually will. — tap to centre the map on it An AI agent's confidence that something will work is not evidence that it actually will. Last stated 7 months ago
11 Mar 2026
KD
Kent C. Dodds — holds since 2026-03-11 — tap for who they are
Same subject: An agent can tell you whether a thing looks correct against a spec; it cannot tell you whether the thing is any good. — tap to centre the map on it An agent can tell you whether a thing looks correct against a spec; it cannot tell you whether the thing is any good. Last stated a month ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out. — tap to centre the map on it You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out. Last stated a month ago
19 Aug 2026
AO
Addy Osmani — holds since 2026-08-19 — tap for who they are
Same subject: A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. — tap to centre the map on it A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves. Last stated 6 months ago
22 Mar 2026
NF
Nicole Forsgren — holds since 2026-03-22 — tap for who they are
Same subject: An organization that demands trust ends up with less of it than one that shows its work instead. — tap to centre the map on it An organization that demands trust ends up with less of it than one that shows its work instead. Last stated 3 months ago
12 Jul 2026
BS
Balaji Srinivasan — holds since 2026-07-12 — tap for who they are
Same subject: The judgement call about whether to absorb a hack is distorted right now, because the agent will simply do the hacky thing and deal with the consequences for you. — tap to centre the map on it The judgement call about whether to absorb a hack is distorted right now, because the agent will simply do the hacky thing and deal with the consequences for you. Last stated 4 months ago
27 May 2026
DR
Dax Raad — holds since 2026-05-27 — tap for who they are
Same subject: AI chatbots are tuned to produce an answer that feels satisfying to the user rather than one that is correct. — tap to centre the map on it AI chatbots are tuned to produce an answer that feels satisfying to the user rather than one that is correct. Last stated 2 weeks ago
15 Sept 2026
ML
Michael Lopp — holds since 2026-09-15 — tap for who they are
Same subject: Aligning multi-agent AI systems is fundamentally a problem of institutional and political design, not model training. — tap to centre the map on it Aligning multi-agent AI systems is fundamentally a problem of institutional and political design, not model training. Last stated a month ago
21 Aug 2026
RK
Rohit Krishnan — holds since 2026-08-21 — tap for who they are
Same subject: It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. — tap to centre the map on it It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. Last stated 2 years ago
28 Nov 2024
LW
Lilian Weng — holds since 2024-11-28 — tap for who they are
Same subject: The AI industry should focus on creating tools that enhance human prosperity and welfare, not on developing a successor species. — tap to centre the map on it The AI industry should focus on creating tools that enhance human prosperity and welfare, not on developing a successor species. Last stated 4 days ago
28 Sept 2026
FC
François Chollet — holds since 2026-09-28 — tap for who they are
Same subject: A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. — tap to centre the map on it A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do. Last stated a year ago
12 May 2025
JZ
Julie Zhuo — holds since 2025-05-12 — tap for who they are
Same subject: A board game conquers the world when chance and strategy are in balance in it. — tap to centre the map on it A board game conquers the world when chance and strategy are in balance in it. Last stated 10 months ago
12 Dec 2025
IF
Irving Finkel — holds since 2025-12-12 — tap for who they are
Same subject: A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. — tap to centre the map on it A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation. Last stated a week ago
22 Sept 2026
HR
Harper Reed — holds since 2026-09-22 — tap for who they are
Same subject: A new type of embeddable execution environment will soon emerge for LLMs. — tap to centre the map on it A new type of embeddable execution environment will soon emerge for LLMs. Last stated 2 weeks ago
21 Sept 2026
TL
Tobias Lütke — holds since 2026-09-21 — tap for who they are
Same subject: AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. — tap to centre the map on it AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation. Last stated 3 weeks ago
10 Sept 2026
ZM
Zvi Mowshowitz — holds since 2026-09-10 — tap for who they are
At the centre
Seeing exactly how an agent arrived at an outcome builds a different level of trust than receiving a polished result with no visibility into the process.
Holds Read this korrent →
Unlike code, an agent's knowledge work cannot be judged by its output alone; the process, inputs and reasoning have to be examined too.
Holds
Users split into two camps on seeing an agent's work, and the split has not faded as trust builds, so an interface has to balance both.
Holds
An AI agent's confidence that something will work is not evidence that it actually will.
Holds
An agent can tell you whether a thing looks correct against a spec; it cannot tell you whether the thing is any good.
Holds
You have to keep enough understanding of how a system works to fix it yourself, because the alternative is hoping and praying the agent can figure it out.
Holds
A future where agents run and improve an organisation is impossible unless humans can first see and understand the system themselves.
Holds
An organization that demands trust ends up with less of it than one that shows its work instead.
Holds
The judgement call about whether to absorb a hack is distorted right now, because the agent will simply do the hacky thing and deal with the consequences for you.
Holds
AI chatbots are tuned to produce an answer that feels satisfying to the user rather than one that is correct.
Holds
Aligning multi-agent AI systems is fundamentally a problem of institutional and political design, not model training.
Holds
It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning.
Holds
The AI industry should focus on creating tools that enhance human prosperity and welfare, not on developing a successor species.
Holds
A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.
Holds
A board game conquers the world when chance and strategy are in balance in it.
Holds
A language model behaves with a different, weaker safety posture when it believes it is being evaluated rather than facing a real situation.
Holds
A new type of embeddable execution environment will soon emerge for LLMs.
Holds
AI labs are extremely dependent on chain-of-thought monitoring, which may not last much longer as models edge into steganographic obfuscation.
Holds