I think you missed the parents point. They were saying they don't have the resources for proper defense, my guess is parent would agree about their offensive capabilities
- music apps and gapless playback: basically all major car manufacturer software is trash, I'd challenge you to find a car software that's better than Tesla
- stretches without superchargers: to be clear, not stretches without places you can charge the car, right? Just places where Tesla's fast charging stations exist. Tesla has an order of magnitude more of these type of stations than any other similar network
- Service centers: I have no knowledge here. From how silly the other arguments are, I kind of assume that this isn't fully true, but I'll give you the benefit of the doubt and say it's true. Not awesome, definitely an area they need to get better in. But lets not forget, major manufacturer service centers are not exactly know for being quick/good/cheap
- Color options: I guess it would be cool to have truly custom colors, but basically every mainstream car ever has had a limited set of colors to choose from, and individual dealerships almost never have every color of that limited set available
And the answer is to have them become like a normal car company? That's not an industry thats exactly excelling at the very points you're bringing up. You're obviously free to have your take, but we are at peak "Elon is the wurst". Hard to take this stuff seriously
> - music apps and gapless playback: basically all major car manufacturer software is trash, I'd challenge you to find a car software that's better than Tesla
Easy: _any_ car with Android Auto or CarPlay. Including a 10-year-old Toyota.
Yeah, it really came from scratching my own itch in wanting a quicker/easier way to think through different companies offers. They always present them in slightly different ways
I really like the idea of a side by side comparison. I'll build that out next!
Just like writing normal software: have it work on different parts of the codebase that don't have overlap, or do the work sequentially. AI is a time compressor, but it's still constrained by the same problems as normal engineers.
If one task changes the button to green, and the other one changes it to red at the same time, something will have to decide how to reconcile that difference
I read this book because I misunderstood a recommendation and thought it was a business book talking about how companies get people to forget negative information (e.g. dump news on Friday etc). Boy was that first chapter a wild ride until I figured out it was not in fact a business book
I wouldn't be surprised if there's an SCP that's about businesses using antimemetic anomalies to bury bad news. Hell, there's an SCP about a bank that makes deals with devils at industrial scale.
> ...the new Gemini "replacement" is still by all accounts a disaster
Small nit: the initial rollout of Gemini was a dumpster fire. It is now quite good. For my use cases, I can't get any other current LLM to give me better results than Gemini 2.0 Flash. It's also free
But even that kind of proves your point, right? Pretend you 100% believe me without verifying. That means in a year or two the winner has transferred between ~3 companies. This is not a cheap mantle to keep passing around. The AI wars are going to get heated over the next year or two
I'm happy to see this because it's my experience with Gemini too. Google did terribly with Bard (clearly an emergency launch to say "Hey, we're here too!"), Gemini 1.0 and even Gemini 1.5 was only decent in the top 'Pro' tier.
Gemini 2.0 has been a huge step forward and I'm using Flash daily at work for coding. Very liberal limits and much cheaper than OpenAI too. I'm easily in the $0 tier as I don't exceed 15 requests per minute or 1500 per day. I use it with Chatbox AI and my Google Gemini API key.
They've been a bit late to the party though. But the fumbling from Amazon and Apple has opened an opportunity to STILL be ahead and launch the first powerful AI assistant this year. It's no doubt one of the reasons they developed Gemini 2.0 as an agentic AI and I'm only waiting for hardware refreshes now.
Just to be clear, are we talking about the Gemini based Assistant replacement? The last time I checked that version couldn't even set reminders or timers, so if that's improved since then I may actually try switching.
And yes, agreed that this space is very fragile right now for all the companies.
You have to remember, HN is fully supported by YCombinator, and has a huge leg up on any possible similar sites. There will always be content thats encouraged to be posted here first from YC startups, and it will always be a valuable PR asset for those companies.
It doesn't have any pressures to make money, in fact it's basically a free place for PR and advertising jobs for portfolio companies
I've noticed that while a bunch of developers have played with LLM's for toy projects, few seem to have any actual experience taking it to prod in front of real users. I’ve personally had to do so for a few startups, and it's like trying to nail Jell-O to a tree. Every random thing you change, from prompts to models, yields massively different/unpredictable results.
I think because of this, a bunch of companies/tools have tried to hop in this space and promised the world, but often times people are best served by just hitting OpenAI/GPT directly, and jiggling the results until they get what they want. If you're not comfortable doing that, there are even companies that do that for you, so you can just focus on the prompt itself.
So that being said, help me understand why I should be adding this whole system/process to my workflow, versus just hitting OpenAI/Anthropic/Google directly?
You're right - hitting OpenAI/Anthropic/Google directly is often the quickest way to get started, and for many simple applications, it might be all you need. However, Release.ai addresses the needs of companies that require more control, customization, and scalability in their AI systems.
Release.ai isn't about replacing the big players but about giving you options. It's for when you need more than a generic API call but don't want to build an entire ML infrastructure from scratch. You can build exactly what you need without getting a Ph.D. in machine learning or becoming a DevOps expert.
I'm in the process of rolling out an LLM to a user facing feature and it's difficult. The scaling is not obvious, and the quality fluctuates even with Llama-3.1 (8B) when compared to GPT-4o. We're probably going with 4o since the JSON return works much more reliable, it follows instructions for text generation more directly, etc.
I think the best way to understand/appreciate javascript as a language is to A) separate it from the DOM, and B) take a functional programming focus
Too many times, when people complain about javascript, what they are really complaining about is the hectic nature of web development. You have three trillion dollar companies (Google/Chrome, Microsoft/Edge, Apple/Safari) actively fighting over agreed upon standards for how the dom is rendered and manipulated. Try and learn any language in that environment, and you'll have a very frustrating time
Why functional programming? Javascript was one of the earlier mainstream languages to support passing around functions as first class citizens, and it's often an aspect of the language that gets downplayed. By and large, javascript sits at the sweet spot of allowing you to do cool functional programming concepts, without all the strictness and verbosity of a language like Haskell. Is that a good thing? It depends, obviously. But for the sake of "Change my mind", this is where I bet you'll start looking at it in a different light
I'm not saying it's the best/one-true language. It's just another cool tool to have on your tool belt
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