Article · Original
The article text is unavailable in this language; an existing version is shown.
Read more about them here
https://t.co/B1i0UfGyqH
SkyfallAI Is Building Models to Predict the Effects of Company DecisionsMachine translation
Automatically verified and published · Generated and evidence-checked automatically; not reviewed by a human.
SkyfallAI is building models intended to predict how a company changes after each decision. Its founders argue that current language models struggle with long-term planning and changing real-world conditions. They propose letting agents rehearse actions in simulation, but the material provides no evidence of how well this works.
A language model is trained to produce the next good response.
Running a company asks a different question: what does the business look like six months after this decision?
@skyfallai, founded by the team behind Maluuba, is building models that predict how a company changes after each decision.
Its founders argue that LLMs, which have advanced for 5 years mostly by adding data, compute and model size, are the wrong foundation for that job.
Their complaint is specific: current models plan poorly over long horizons, need huge amounts of data and break down when real-world conditions shift.
A world model attacks those weaknesses by learning cause and effect, so an agent can rehearse an action in simulation before taking it.
Below is a great read to learn more about the society post-automation.
View replied-to post on X
https://t.co/v6S6wwMNAc
View context on X