tracyhenry
Joined 6 years ago
Joined 6 years ago
In my experience even structured LLM output performs poorly on classifier tasks. LLMs are trained to talk and think longer. If you don't give LLM enough space to reason it would become very dumb.
I'm not saying that Jev is way better, but that people way overindexed cost and speed.
I don't know what media you are talking about. It's all slop worse than current slop.
I'm amazed that this blog doesn't even have a single screenshot/photo of the kind of UI they can generate.
Focusing on benchmarks in this domain feels very wrong.
3D might have just been solved like coding
In a project my questions are usually revolved around the same topic. Having context carried across threads actually make a lot of sense.
In the general mode where I'm expecting models to be *stateless*, having memory is very annoying.
If you can charge your phone, you can charge your vision pro. The battery itself can last any movie with no problem.
WWDC also just rolled out some quite exciting features to RealityKit: https://developer.apple.com/videos/play/wwdc2026/279/ as well as visionOS itself (https://developer.apple.com/videos/play/wwdc2026/287/)
It makes me wonder if Apple is really giving it up as news have claimed.
Similar apps have existed before (like Amie), but they were nearly all VC-backed and had pretty much all pivoted to AI (e.g. being an AI note taker). Their approaches to a Todo-focused calendar has been largely unsatisfying due to the focus on Enterprise users and whatever is trendy.
Eima, in contrast, focuses on personal use and does one thing very well: scheduling your todos. In particular, I spent a lot of time making sure multi-occurrence todos work smoothly (e.g. todos that need multiple attempts or simply recurring todos). These were not addressed by prior tools at all and had been my biggest motivation to build Eima.
Would love some test users! If you end up wanting to give Eima a try please use the code EARLYEIMA to get it for free.
Applying ML, UX and Big Data tech to solve important & fun problems. MIT CSAIL alumni.
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