snissn

>A certain American technology company (henceforth “the Company”) recently dumped a large pile of manuscripts on GitHub.

Treating OAI's name like Voldemort reads as emotionally immature to me

reminds me of covid times

I recommend ripping your car apart and putting sound insulation panels everywhere you can! Also replacing your sound system...

I'm curious how much the harness plays into this. I'm somewhat surprised by the gemini and grok results, they seem to have strongly deviated from the original images. I'm thinking maybe the harness has a big effect? It's possible to proxy in different models to claude code, if you're curious you might find it interesting to test!

A) spec driven development

B) opinionated skills that use GitHub tickets, merge gates and execution of ticket graphs

I’m surprised! I guess I’m being naive but I would imagine you could pass an image to an image model without synthid and have it reconstruct the image in a net new way without the markers. I guess I’m wrong? That’s cool if the watermarks are so deeply ingrained that they persist

I've been thinking about this question for a while. It's confusing at first blush because it's an append-only database and it has a WAL — and it feels like a WAL is already an append-only database, so what's even happening?

Looking back at the project now, I think the value comes from querying it, and especially from automatic aggregations.

    [rollups]
    enabled = true
    checkpoint_file = "rollup.checkpoints.log"
    default_grace = "5m"

    [[rollups.jobs]]
    id = "outside_temp_1h"
    source_metric = "temp.out_dry"
    interval = "1h"
    aggregates = ["min", "max", "sum", "avg", "count"]
    destination_db = "sensors_rollup_1h"
    destination_metric_prefix = "temp.out_dry"

This is a reasonable use case that can't immediately be resolved by just logging to a file. It creates an aggregation profile, so a sensor could log temperature every minute and the database will automatically average temperature by the hour. That's a straightforward and meaningful use case.

There's also some query support, but that may be closer to something you can sort of do if you just have a log file.

I think the aggregations are the most direct value proposition. OP/author: worth making this pitch "above the fold" in the README, imho.

Also, I've done a lot of analytics work, and a fun feature to add that I've built in the past is an approximate median. I might open a PR and remind myself how to build that. Cheers!

What do you mean by decode is parallel?

it's been frustrating how bad it is at UI. I'm starting to test out using their image2 for UI and then handing it to codex to build out the images into code and I'm impressed and relieved so far

This is weird political propaganda. The first post misrepresented annual costs of housing.

I’m digging through the paper. It’s a meta analysis paper.. they have six studies they analyze on anxiety treatment and they (footnotes 40-46) have positive results in terms of cbd showing a significant effect on anxiety reduction. I’m not invested in figuring out exactly how this study came to represent what it claims but it seems like a joke

It's not clear that graph-bench in "Tested with the LDBC Social Network Benchmark via graph-bench" is a benchmark that you made. It seems more robust and reliable than "we built a db and a benchmark tool, and our benchmark tool says we're the best". Just a thing to be careful about. You should just state that it's your tool and you welcome feedback to help make it so that other projects being compared are compared in their best light. Something like that might help, I don't know though it's a hard problem.