Oh I agree, but this is definitely not it, I don't understand why Anthropic released this, other than squatting the same keyboard shortcut the ChatGPT app uses, with no ability to change it :P.
Chat UIs are really the perfect candidate for a localfirst PWA. I have no idea why they are being built as either a full desktop app or UI where nothing is stored on device.
You’d think with all the funding these companies have they’d make better technical decisions
I do see value, but the Claude app is just a webview with a keyboard shortcut, I don't even think it has voice dictation, I uninstalled it immediately.
Hmm yes, I don't see any issues giving a corporate controlled model with the operational precision of a coin toss full access to my entire system. There is absolutely nothing that could ever go wrong.
Nah but seriously, can we start a counter of how many times a chatbot agent has deleted someone's system32 because it was trained on data of the average tech forum?
For folks who are skeptical about OpenAI's potential, I think Brad Gerstner does a really good job representing the bull case for them (his firm Altimeter was a major investor in their recent round).
- They reached their current revenue of ~$5B about 2.5 years faster than Google and about 4.5 years faster than Facebook
- Their valuation to forward revenue (based on current growth) is inline with where Google and Facebook IPO'd
Does OpenAI's revenue per user increase with each new user? I don't think so, but it was definitely the case with Google and Facebook . That's a big difference that you can not overlook
They have a few brand new products that are quite compelling.
Warp Speed: Aims to integrate ERP, MES, PLM, and factory floor systems into a single AI-driven platform. As opposed to legacy ERP systems, it focuses on production optimization rather than just financial tracking. Warp Speed has the potential to relegate legacy systems to backend data storage, shifting the entire intelligence layer (and value) to Palantir's system. Warp Speed targets both innovative new manufacturers (they note Tesla and Space X alums starting new companies) and traditional large-scale operations.
Mission Manager: enables other defense contractors to build on Palantir's platform and benefit from their security infrastructure and position of trust within government. You can think of it as an AWS for defense companies; plug and play with the foundations handled for you. While the product just launched in Q4 2023, they just received a new $33 million CDAO Open DAGIR contract. While this is possibly just an advanced POC, it represents significant potential for future growth and wider adoption in the defense sector. Now is the perfect time. From 2021 to 2023, VC firms invested nearly $100 billion in defense tech startup companies, a 40% increase from the previous seven years combined. Time is the most important thing for these startups and Mission Manager shows the potential to save lots of it.
There’s been a concerning trend of less and less young, successful founders. Where is the modern Zuck, Gates or Patrick Collison?
I say good on OP for putting themselves out there and keep pushing. We need young people to come up with great ideas and if that comes with them pointing out how young they are, I’m totally fine with it.
I think there have been fewer young technology founders because I think technology has become less and less accessible. There is so much more to sift through to get from an idea to a project or product than there was 10-20 years ago.
I'm saying this as someone who is relatively young, so keep that in mind.
For some parts of the landscape like mobile app development, yes. Its hard to say if they are doing it with hidden intention, or if they sincerely believe enforcing their "best practices" on everyone yields greater good. Probably a bit of both.
The part where you build a demo/prototype showcasing if an idea works, I believe it should be much easier than before as long as you postpone understanding/deciphering the implementation. In those major ecosystems there are huge collections of single-purpose libraries doing a subset of what you want to do, all you need might just be a reasonable amount of python to string them together.
However, ensuring the correctness and actually deploying them for planet-scale mandates following a reasonable subset of "best practices" which is very overwhelming, but doable. People doesn't usually build planet-scale product 10-20 years ago.
> However, ensuring the correctness and actually deploying them for planet-scale [...]
I think this is specifically a big part of the problem. Not everything needs to be planet scale to be good. People didn't focus on being planet scale 10 years ago. 20 or so years Mark was worried about getting The Facebook available at one or two schools.
Worrying about getting things working for the world has made it way harder for us to get things working for indoviduals or small groups.
In a few years we will look back at this period in AI with niche hardware startups and companies pouring millions into chatbot UIs and think how early it all was.
The future lives in a thick fog and someone has to venture through. Bless the first to try and find it, but they’re all missing
Looks like handwaving it as the fog of the future will do for now.. I don't see any progress made in this area. It seems like most of the investment is going to the interesting "look what the AI can do" stuff instead of correctness. I'm assuming the interesting stuff is easier to market.
Just tried this myself and was able to replicate. They even have suggested follow up questions for your random queries that don’t relate at all to the product.
Watch out perplexity, Amazon chat has entered the arena
They also have the amazing attribute of browning very slowly - you can cut one and leave it out all day it will hardly change color.