461–470 of 512 posts
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Was the Windows Phone ever at the frontier tho?
Windows Phone was superior to everything else on the market at the time. But phones are an ecosystem, and MS was a latecomer.
https://aistudio.google.com/live is by far the coolest thing here. You can just go there and share your screen or camera and have a running live voice conversation with Gemini about anything you're looking at. As much as you want, for free. I just tried having it teach me how to use Blender. It seems like it could actually be super helpful for beginners, as it has decent knowledge of the toolbars and keyboard shortcu…
Sounds interesting, but voice input isn't working for me there. I guess I'm too niche with my Mac and Firefox setup.
Quick research suggests this is part of Firefox's anti-fingerprinting functionality.
The Gemini 2 models support native audio and image generation but the latter won't be generally available till January. Really excited for that as well as 4o's image generation (whenever that comes out). Steerability has lagged behind aesthetics in image generation for a while now and it's be great to see a big advance in that. Also a whole lot of computer vision tasks (via LLMs) could be unlocked with this. Think In…
I asked Gemini 2.0 Flash (with my voice) whether it natively understands audio or is converting my voice to text. It replied: "That's an insightful question. My understanding of your speech involves a pipeline first. Your voice is converted to text and then I process the text to understand what you're saying. So I don't understand your voice directly but rather through a text representation of it." Unsure if this is…
If you're using Gemini in aistudio(not sure about the real-time API but everything else) then it has native audio input
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Do they support WFH setups?
The parent might be referring to us: https://workmode.net/ . Most of our clients work from home. Do you have a specific concern about body doubling and working from home?
When I click on "Pricing" in the nav bar, it scrolls down, and the first thing that catches my eye is "$2100 / month". I happened to see this time that this is the benefit you're projecting and it is actually $2.50/hour. On the previous times I've visited your website based on your HN comments, I've always thought $2100/month was what you were going to charge me and closed the tab.
I've been frustrated myself that people don't read what's right there on the page when they come to my startup app's landing page. Turns out I do the same. Hope this helps you improve the layout / font sizes and such "information hierarchy" so the correct information is conveyed at a glance.
IMHO $2.50/hour is great value, and stands on its own. I know how much my time is worth, so perhaps the page doesn't really have to shout that to convince me.
Again, please feel free to ignore this as it is quite possible that it is just me with the attention span of a goldfish with CTE while clicking around new websites.
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Leaderboards are not that useful for measuring real-life effectiveness of the models atleast in my day-today usage. I am currently struggling to diagnose an ipv6 mis-configuration in my enormous aws cloudformation yaml code. I gave the same input to Claude Opus, Gemini and ChatGPT ( o1 and 4o). 4o was the worst. verbose and waste of my time. Claude completely went off-tangent and began recommending fixes for ipv4 whi…
Sonnet 3.5 as of today is superior to Opus, curious if sonnet could have solved your problem
But it think it has to do more with the freshness of training data.
AWS IPV6 Egress is a new technology from AWS which was introduced only recently. Previously, we had to deploy NAT gateway which supported IPV4. I am assuming claude-3-5-sonnet-20241022 (latest) was not trained on this data.
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> all of our products — including all 7 of them All the products including all the products?
Why did you specifically ignore the remainder of the sentence? "...all of our products — including all 7 of them with 2 billion users..." It tells people that 7 of their products have 2b users.
"including all seven of them with 2 billion users"
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There’s an easy solution here: Apple isn’t trying to compete with the big models everyone else is running. They’re betting in the opposite direction that many small models is a better value ad for their customers. And they can call out to other services as needed for the larger stuff. I’m in the camp that this is the right call for consumers, instead of trying to compete on the large model side. They’ve yet to delive…
Apple have trained their own foundation LLM.
their models aren’t even that good. sorry apple fanboys but the talent isn’t there
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I think Apple is uniquely disadvantaged in the AI race to a point people dont realize. They have less training data to use, having famously been focused on privacy for its users and thus having no particular advantage in this space due to not having customer data to train on. They have little to no cloud business, and while they operate a couple of services for their users, they do not have the infrastructure scale t…
There’s an easy solution here: Apple isn’t trying to compete with the big models everyone else is running. They’re betting in the opposite direction that many small models is a better value ad for their customers. And they can call out to other services as needed for the larger stuff. I’m in the camp that this is the right call for consumers, instead of trying to compete on the large model side. They’ve yet to delive…
Apple just isn’t very capable in this space, not sure what’s so hard to accept
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Theory: Apple's lifestyle branding is quite important to the identity of many in the community here. I mean, look at the buy-in at launch for Apple Vision Pro by so many people on HN--it made actual Apple communities and publications look like jaded skeptics.
Oh please, this is the classic “everyone who chooses differently than myself is ” argument that a lot of people use when it comes to tech nerd identity politics. Is it really that hard to imagine people have different viewpoints, and decisions than yourself without being painted as vapid, airheads?
The level of optimism for Apple AI capabilities on here is wrong. I can imagine people having wrong viewpoints, but it is wrong.