jayunit

What about the aliens in Arrival?

I’ve seen some social media posts in the last week by Rhonda Patrick discussing 20g/day for cognitive benefits.

Can’t find that post, but here is a breakdown of claims from an interview she conducted a few months ago: https://www.reddit.com/r/Supplements/comments/1jo8pk8/my_top...

Very interesting! What are some examples of criteria that you can evaluate pairwise, but couldn't score individually?

Thanks! :)

The top of the form says "[Letter text -- Please sign by June 4!]" -- is it still helpful to sign?

Congrats! I've been wanting exactly this app. I paid $5.99 for HealthFit trying to get similar information, but it doesn't (afaik) show the weekly/daily zone summaries.

I'd really love to see last week's information. Especially since you launched on a Monday, I'd love to have a new-user experience that shows me last week's info.

Other misc feedback:

1. Upon launching the app, I didn't see any data. Had to go into the gear menu -> approve health data sharing. I think it'd be better to push the user to this approval flow on their first session? (Edit: Aha, after watching the video: settings -> time period -> last 7 days)

2. Neither here nor there, but I wanted to download this so searched the app store on my phone for "heart rate zones plus" and this app was #16. I'm curious if anyone in the discussion knows -- how is this search rating determined? Is there anything the author can do to improve the ranking?

author replied on Twitter:

that's a great use case! the aria snapshot that browser mcp generates is enough to write tests for playwright using its role-based locators, but i may add a get_page_html tool in the same way that they're considering: https://github.com/microsoft/playwright-mcp/issues/103

https://x.com/roadtoramen/status/1909356255866733044

awesome! For the Cursor / React / Click to Add 2 example, can we also have it write a unit/e2e regression test?

Language models or embedding distance might work quite well. Cool idea! :)

I’ve enjoyed using https://syncedstore.org/docs/ as such wrapper code for Yjs in React. They have a Svelte lib too, haven’t tried it.

Great article, congrats on releasing!

Some good resources from Will Larson: https://lethain.com/migrations/ or, if you prefer it in talk format: https://lethain.com/qcon-sf-migrations-video/

Looks like! https://wiki.laptop.org/go/Sugar

Played it for a bit - very cool! Is there a way in GPTs to use the Python variables to control the prompts? Curious how that part works.

I'm curious - what's the medication? Someone I know gets pretty regular migraines. She takes sumatriptan when they occur, and also has cut alcohol due to being a potential cause.

If you're looking at declaring schemas for CRDT docs in Yjs, I've found https://syncedstore.org/docs/ productive if you're open to using TypeScript.

Agreed on migrations!

Congrats! I've been watching this space for a while, having built a couple multiplayer sync systems in the past in private codebases, including a "redux-pubsub" library with rebasing and server canonicity that is (IIUC?) TCR-like. There's a lot to like about this model, and I find the linked article quite clear - thank you for writing and releasing this!

1. You wrote "For example, schema validation and migrations just sort of fall out of the design for free." - very curious to read about what you've found to work well for migrations! I feel like there's a lot of nice stuff you can build here (tracking schema version as part of the doc, pushing migration functions into clients, and then clients can live-update) but I never got the chance to build that.

2. Do you have a recommendation for use-cases that involve substantial shared text editing in a TCR system? I'd usually default to Yjs and Tiptap/Prosemirror here (and am watching Automerge Prosemirror with interest). The best idea I've come up with is running two data stores in parallel: a CRDT doc that is a flat key/value identifying a set of text docs keyed by UUID, and a TCR doc representing the data, which occasionally mentions CRDT text UUIDs.

The article from @jph (who commented it at the top level here) discussed a month ago https://news.ycombinator.com/item?id=37532439 might be helpful, too!

https://web.archive.org/web/20140222103103/http://subterrane...

The “third part” of the post starts with “I’ve benchmarked cola against 3 other CRDTs implemented in Rust: diamond-types, automerge and yrs.” This cola library appears to perform favorably in operation speed.

I’d be curious to know about memory usage, too.

Congrats on the release! Having built several LLM apps in the past months and embarking on a couple new ones, I’m excited to take a look at Langfuse.

Are there any alternatives you’d also suggest evaluating, and any particular strengths/weaknesses we should consider?

I’m also curious about doing quality metrics, benchmarking, regression testing, and skew measurement. I’ll dig further into Langfuse documentation (just watched the video so far) but I’d love any additional recommendations base on that.

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You might enjoy https://www.seriouseats.com or The Food Lab by J. Kenji López-Alt.

Strong agree!

For JavaScript, I suggest folks check out fast-check [0] and this introduction to property-based testing that uses fast-check [1].

This is broadly useful, but one specific place I've found it helpful was to check redux reducers against generated lists of actions to find unchecked edge cases and data assumptions.

[0] https://github.com/dubzzz/fast-check [1] https://medium.com/criteo-engineering/introduction-to-proper...

This is great! Super fun to play. Congrats on releasing it!

Can't pass up a chance to share the delight that is (was?) PizzaTool: https://donhopkins.medium.com/the-story-of-sun-microsystems-...

Very cool! Thanks for sharing. Was binding Monaco particularly challenging?

I’m curious what the larger project/product is, if you are able to share.

I’ve used ShareDB (from @josephg in this thread) for a collaborative coding project with Jupyter as the execution backend. I just geek out seeing OT/CRDT projects in the wild :)

Thanks for your reply!

This is very interesting - I'm pretty unfamiliar with BEAM. Does this "processes all the way down" span across machines/VMs?

From the article, it seemed like there could be two players, each connecting to different LiveServer instances (on different VMs/hardware in different geographic regions) which in turn communicate async via one central GameServer.

In the article, it seems like a message from Player 1 to LiveServer 1 doesn't need to wait for the message to also reach the central GameServer and be acknowledged before LiveServer 1 acks the change back to Player 1. This seems to allow races, since the central GameServer is the source of truth but the Player1/LiveServer1 communication can complete a message/ack round-trip without waiting for acknowledgement from the GameServer.

I guess an alternative would be for the system to require a message from Player 1 to be passed to LiveServer 1, then passed on to the central Game Server which acks back to LiveServer 1, which finally can ack back to Player 1 -- this means that Player 1 would still need to pay full round-trip latency to LS1 and then to the GameServer for any action.

Thanks for any light you can shed on this!

I'm curious about how race conditions would be handled when multiple users, on different regional LiveView servers, take conflicting actions.

In the "Let's walk it through" section, it seems like the Player-to-LiveView connection will process user input (e.g. a Tic-Tac-Toe move) and update the UI to acknowledge this, at which point the user can be assured that the LiveView server accepted their input. But it seems like this happens before the GameServer has also accepted the input. What if Player 2 made a conflicting play and their change was accepted by the GameServer before Player 1's change reached the GameServer?

Given, in Tic-Tac-Toe, the game is simple enough that this is neatly avoided: each regional LiveView server has enough information to only allow the current player to make a play. But in more complex applications, how might you (anyone; curious for discussion) handle this?

One answer is something like: The LiveView server is effectively producing optimistic updates, and the GameServer would need to produce an authoritative ordering of events and tell the various LiveServers which of the optimistic updates lost a race and should be backed out.

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This sounds really cool! What’s the company? (I also work on WebRTC-based classrooms, at Minerva - we haven’t looked outside of voice in the audio sphere though.)