Savlar4 sources healthy · latest episode 21 Oct 2026
Speaker

CJ Hess

Guest on Latent Space: The AI Engineer Podcast. 78 claims across 1 episode, Oct 2026.

78claims, each timestamped
0 of 12signals on the brief
0verified changes of mind
17open predictions

Positions over time

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Predictions

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ExpectsBySaidStatus
CJ believed that applying his skills more heavily to AI could substantially increase his output and earning capacity. no date given21 Oct 2026pending
Engineering’s future will probably resemble a model in which engineers use AI to increase their output. no date given21 Oct 2026pending
As AI solves technology problems, companies will pay for outcomes rather than for the time spent building solutions. no date given21 Oct 2026pending
The team will increasingly evaluate software work by its actual output and characteristics rather than relying on the traditional story-point model, while retaining story points as an anchor unit. no date given21 Oct 2026pending
10x aims to centralize context so that agents perform an increasing share of the work without people having to supply all information in advance. no date given21 Oct 2026pending
Model use may develop in several different ways. no date given21 Oct 2026pending
Model usage could trend back toward Astra 6-5 and Fable 5-5 if they become very expensive models that deliver the best results. no date given21 Oct 2026pending
The speaker thinks people are close to taking on roles as managers of AI agents. no date given21 Oct 2026pending
Standalone products that sell an agent to perform work in a specific vertical will struggle unless they have a strategic advantage, such as compliance capabilities or proprietary data. no date given21 Oct 2026pending
As models improve, companies will increasingly be able to build their own solutions quickly, or the relevant tasks will be absorbed into general-purpose models. no date given21 Oct 2026pending
Products combining an app with workflow-changing tools and an agent layer can still be helpful and successful. no date given21 Oct 2026pending
The speaker deeply believes that AI will produce good for humanity. no date given21 Oct 2026pending
AI will augment people's jobs. no date given21 Oct 2026pending
AI will change and displace some work, though the speaker expects this to be part of a broader movement rather than simply eliminating work overall. no date given21 Oct 2026pending
The speaker thinks that, in the long run, reallocating people toward broader and more consequential work can keep most people employed while making businesses more nimble and better able to tackle major problems. no date given21 Oct 2026pending
The speaker's major goal is to deploy background agents in enterprises in a way that is genuinely helpful to them. no date given21 Oct 2026pending
The speaker intends the background agents to solve many of the messy IT problems discussed earlier. no date given21 Oct 2026pending

Appearances

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