I recently switched for m the developer mindset of build websites for everything to make apps if I can. My logic is that an app never needs to go back and forth with me, it's something the user can have without me managing hosting and constantly having a relationship with the user.

Spelling and grammar are part of your communication, so failing to use them by choice is an intentional message you are sending. Failing to choose to use them due to laziness or not knowing proper grammar is a message you send without intending it to be the message.

So I would recommend learning to spell check and proof read your writing, because you want to be able to write with intent.

Yes, this is why I use them, but try not to apply the suggestions blindly. So as time goes by I need to depend less on those..

Is this going to nuke all bring your own API 3rd party tools? I've been casually using fewshell https://github.com/few-sh/fewshell with my Claude api key, I really hope it's going to keep working. I've just finally managed to turn myself into a reasonable devops team with it.

This does not affect anyone who uses an API key.

Oh thank you! I'm using these tools but occasionally I feel like a medieval horse rider trying to drive a sedan. Glad to know, I haven't used OpenClaw, I prefer the meat computer for autonomous compute.

All these people that complain were not paying for an API key

I send things too iNaturalist all the time, it's great, it really helped me learn about my local fauna. I want to do a project with their API to identify a couple hundred wildflower photos I've been hoarding. Would that work? ( Idea is my wildflower app could send to their models to confirm my original identification)

Hey, good news! Pollination ecologist + ML guy here; with open models coming soon.

You can keep an eye on (gh) polli-labs/linnaeus (a bit stale; I'll rebase on my private repo later tonight-). There's some cool ideas in here to exploit the structure of taxonomic hierarchies to help the model approach recognition how a professional taxonomist might.. so working from coarse to fine, taxonomy-guided label smoothing (distributing alpha mass by taxonomic distance)..and (forthcoming) RL on expert consensus to teach abstention (if an expert could only identify a specimen to genus for some set of inputs; then our model should abstain from a species classification for the same inputs). Unfortunately I am very, very compute-constrained- but shooting for late April/first week of May for insect + flowering plant models. (Other taxa will come later; probably as unified model). I'm working on camera-based (automated) ecological monitoring systems for ~6yrs at this point; it's a really fun problem space! dropped out of grad school to go all-in on automating my favorite job I ever had (pollination ecology field research..watching flowers for visitations!); since I knew I'd always be a mediocre ecologist- but an engineer that happens to care about ecology could be very very valuable to my field.

a taxa recognition model turns out to be only a small piece of the system you need to extract structured observational data from cameras in the field :-) Working with one of my partners right now to launch a really cool demo of what's possible these days- Texas folks especially; keep an eye out on wildflower.org around May 1!

I'll spill more ink soon but (anyone) please get in touch if you find these things interesting. Or if you'd like to help me out with compute/expenses!

This project looks awesome pollination ecologist + ML guy! I starred it and will definitely be exploring using this. I'm actually pretty simple with my needs because I'm after only a few specific wildflowers not the whole ecosystem. But of course it's impressive how comprehensive your project is looking.

I don't know if it will work, but Pl@ntNet Identify (which I use often) seems to have an API: https://docs.plantnet.org/en/reference/api-plantnet/

I've wanted to do something similar, but unfortunately their CV model isn't public and can't be used through their API.

Are their models considered to be the best or is there some competition? For plant identification, they blow every other free app I have tried out of the water. It also seems to return the genus of a plant rather than misidentify the species which I find impressive.

IMO it's best-in-class. The next best thing might be google's speciesnet: https://github.com/google/cameratrapai

Any idea how SpeciesNet and iNat’s model compare to BioCLIP 2?

https://huggingface.co/imageomics/bioclip-2

That's too bad, maybe I can upload it to iNaturalist then reference the entry there. I don't mind if it's duplicated, I just want to be able to improve the location data without sharing the improved location data so publicly.

Yet they shelter under a 'Science' tax-break. It's duplicitous. They should publish their models and build process. If it's not available for replication, it's not science.

I have been experimenting with eating ingredients from time to time to help my body learn to be specific in what it's asking for. As a side effect I now crave almonds much more, I think because I finally exposed my body to a clear source of Vitamin E.

This story is very focused on digital architecture, particularly risc-V. There is another big issue with open source processes, sky water 130nm is the most accessible, but expanding PDK (process development kit) is also a big deal for open source users to be able to build hardware.

When is taking an action not associated with a line? What if you just enjoy taking action?

And the candidate never leaves, unable to stop playing.

Check your gas cap, I had this effect happen in my car because I had lost my gas cap. It can also happen in its damaged in some way. I don't have this habit so I can't tell you if I am observing a similar effect.

No not at all. I only use AI assistants for help with price comparison of things when I'm in the grocery store and want to know what of the salsas is the best price without preservatives or other things like that.

ooh, does that help? or does it hallucinate a lot?

I made this for myself a while ago: https://rewardsgenie.calstudio.com/ it's a tool that tells me what's the most rewarding credit card to use for any purchase, but even with good context, it would sometimes make stuff up so I kinda stopped caring

It's pretty low risk and I'm just doing it for saving a few bucks. So far it has only had one moderate oppsie that I caught. It recommended a kefir brand that it turned out was actually low fat (which I didn't want), but in defense of the AI, I had also read the entire package and didn't see the tiny low fat words written on top of the pink cap either. I only noticed when I started drinking it and went back for a closer look.

I tried to checkout your tool, it starts with an account though and I don't have many CC. It sounds like it sound be useful though if you have those stacked deals like 3% cash back but 8% cash back on Tuesdays for gas only and then another card that's 5% cash back every day. I agree it's a good amount of context to keep track of though.

I kinda turned the tool off for now anyway cause I stopped paying the subscription for it haha

I imagine this to be better with an apple wallet type interface where I don't even have to ask and the wallet just auto selects whatever's best - but this seems to be super hard to build so I kinda just gave up