seems to be a pattern:

[Company that's getting disrupted by AI: Fiverr, Duolingo]: rush to adopt internal AI to cut costs before they get undercut by competition

[Company that's orthogonal: Box, Ramp, HFT]: build internal tools to boost productivity, maintain 'ai-first' image to keep talent

[Company whose business model is AI]: time to go all in

▲

gowld 4 hours ago | parent [-]

Why wouldn't HFT be disrupted by AI? AI-enhanced trading algo designs are likely to be competitive? AI disrupts everything on the computer from the low-end on up. The higher end requires more expensive or custom models that aren't as easy to obtain yet.

	▲	_se 4 hours ago \| parent \| next [-]
		HFT is about the last technical domain that could possibly be touched by LLMs. There is next to no good training data and there is zero margin for error.
	▲	lossolo 4 hours ago \| parent \| prev \| next [-]
		Because HFT is about adversarial play with a lot of hidden information. Relevant article from two days ago https://www.latent.space/p/adversarial-reasoning
	▲	ej88 4 hours ago \| parent \| prev [-]
		i mean llms happy to be corrected but im not aware of any direct improvements llms bring to ultra low latency market making, time to first token is just too high (not including coding agents) from talking to some friends in the space theres some meaningful improvements in tooling especially in discretionary trading that operate on longer time horizons where agents can actually help w research and sentiment analysis