LewisOrton

Thanks. i thought about this but eventually figured out it does not really work in real environment, speaking it out loud can be a bit awkward (and not efficient). if there are enough requests i will surely add it but in a responsible way, not sure if voice models today are good enough for many languages

If I just ask questions and do simple research without proactive local works, I'll just use the aistudio, it's probably 10x better than the Gemini app. But other than that I have my own fork based on dsh (nothing fancy I just added a few tools & fixed the thinking level param issue) I rarely use it though. Computer use is bad and i mostly use codex for that

i dont think they've nerfed it did you use api or via subscription(which might make sense) api has been pretty stable for me.

personally i like 4 Argon, it's very clever for me in a very different way comparing to the other two (especially via api) but when it comes to the google products.. sigh. nobody who's actually working on these products really cares about them in google now (maybe notebooklm is the rare exception), they're either not dogfooding themselves or somehow intentionally poisoning the experience on purpose, or simply inqualified. poor gemini is suffering in agy i can tell, it struggles so much and wont even use simple tools properly. if you put it in any good 3rd party harness out there it's flexing way better than agy and this tells a lot.

tbh i might be one of the few who actually likes gemini since 3. it wasnt as good at coding compared to other two but it always wrote the best, and talked the best, providing very good conversation experience. it works incredibly well in my customer service agent harness and my users have been very satisfied. Now Gemini 4 is incredible, but the same old issue: a powerful model, in the worst official harness

deepmind should get rid of those antigravity ppl they're a joke and sabotaging the model's reputation.

ok, I think this overlooks two important things:

1. what we currently perceive as a lack of capability in a particular domain often comes down to the model simply not having received targeted RL training for that domain (yet). Look at Opus 5.5 in motion graphics: after its first round of specialized RL, it was already producing work that surpassed the average professional designers(and it's using vanilla javascript vs human with After Effects, let that sink in). It doesn't need to beat the top 1% of designers to fundamentally disrupt the profession. Most professionals aren't the top 1%.

2 people rarely hold agents to the same standards and workflows they apply to human professionals. A human designer gets to iterate and refine until the work meets expectations. Yet ppl often judge AI based on oneshot or fewshot attempts (these are just "wishes") and treat whatever comes out as the ceiling of its capabilities. Why shouldn't an agent be allowed to iterate against the same acceptance criteria until the result is good enough?

that's before considering domain-specific skills& loops, which can dramatically improve performance in specialized tasks.

The relevant comparison isn't an experienced professional vs LLM given a prompt five mins ago,it's a professional vs agentic system w access to the same project context(including tools and feedback, and opportunities to iterate)

I dont know if i fully agree to it. ppl are still trying to find the aspects that AI do not handle (or do very well) yet, to define the irreplaceable value of human (humanity?), without realizing that these abilities/capabilities are within the expanding range of AI soon if not tomorrow. Why would one assume that (99.99% of) human can solve the issues that AI can not?

should we stop treating the idea that humans must possess some capability AI can never replace as the starting point for discussions about humanity's future?

I'm inclined to think we should.

Preserving human agency is a moral and institutional choice, not something that needs to be justified by human cognitive superiority

Do androids feed electric ducks

btw i found it works very well as white noise

it's a desktop app so i dont see any reason not to use avif, thanks!

in my app i was using jpeg but then switched to webp two years ago, they're for generating/displaying thumbnails for images and videos. and now avif seems like a better fit? anything that you're not happy about? considering avif now, appreciate any ideas

it's actually more usefull than it looks. it is not much useful on its own but it can play a big role in a complex workflow or custom harness.

i used luna 5.6 as the ranker/filter to remove useless items from upstream rag(mixing embedding, regex etc) and it did a good job but took 5-10 seconds each time. now less than 1 second and no observable precision loss. hope it helps

a unified solution for both old and new problems! such a nice idea. i liked gmail's "+" variant but yours are way cooler

exactly, it sounds more like a trap with the facade of benefit than passkey

How did I not know this until today? it's so beautiful, thanks so much!