My side of the Engineering discipline is about designing and building plants (energy, pharmaceutical, petrochemical, ...), here standards are written from the blood of the killed or injured, engineers are very aware of it all, and yet, you should see how our C-suite get hyped by the LLM fad, and distributes promotions for whoever is the latest to find new ways to cut new corners or introduce unwarranted randomness in previously well established processes. It's awkward, to say the least.
After 17 years as a creative technologist, I’m studying to be a nurse. If you’re a web designer or developer who’s tried Muse and still sees a long-term career, I don’t get it. As tools like ChatGPT and Muse reduce the need to browse the web (Muse even shows you it's browsing the web for you), what will we be designing/developing? Muse already lets anyone create, publish, and host a website for free with no technical skills - just ask it and boom zero skill or effort to create a site. You may think I want my site to look good yet lol not many are going to see it. Now if Meta adds domain registration, your entire online presence could be live in minutes and to update content on your personal or business site just use Muse to do so.
Overall I think the web will just be the storage for our thoughts, businesses/transactions and etc for AI to access. Yet our thoughts/content that AI uses to keep itself relevant we need to be paid for.
What would they be building .. just tell Ai create and publish a website for my personal thoughts, solo business, mid-size business, etc and call it something like name124.com. Then boom it's done and live on the internet for them to feed content to it via a personal agent like Muse. If humans are getting paid to publish their thoughts/content on the web for Ai to stay relevant and it's super easy Im bet millions would love to be feeding Ai.
Thank you it's on-going and going well. Ai (chatGPT plus) is helping me learn as I feed it my class notes and notes in general. I then have it create multiple choice quizzes I take via voice while driving or when not driving clicking/choosing the answer. I will write more once I further progress as I started school in mid August.
I wonder if Artificial Analysis could be influenced by certain model companies. Looking at the changelog [0], they updated a few times after new models appeared, so US models progression was much higher than that of other vendors (like when they updated the algorithm after Kimi K3 versus Opus 4.7, so Kimi dropped in the rankings). Or maybe thats just coincidence.
People still buy into "research" from Gartner and Forrester despite it being an open secret for decades that they are pay-to-play.
These kinds of "research" companies are there to validate people's preconceived ideas and purchasing decisions rather than being genuinely unbiased. And they are very useful for that, both for consumers and for marketers.
As someone who does not understand how IPO works. So they do not need to show whole “big picture” of their revenue vs costs before going public? Wouldn’t build it trust to show they are healthy company worth investing besides speculation? (It must be naive question from)
Yes they do. They have to file an S-1 with the SEC, which will be made public about a month before the IPO.
The S-1 has to include, among other things, three years of audited financial statements, plus interim statements (unaudited). It will cover both revenue and expenses, the latter breaking out things like cost of revenue, R&D, sales and marketing etc.
Based on the (unofficial but reported) IPO target date of late Sep to early Oct, the S-1 will have to be made public in a few weeks from now.
They do, but the accounting rules change based on context. They will file an S1 today outlining how they are rolling in profits then, come tax time, suddenly they are hemorrhaging money. Flesh-and-blood investors have lost all trust in financial filings. See SpaceX.
Reading all this news makes me feel like some soap opera play is happening at AI companies regarding IPO. Their scale is outside of comprehension of typical Joe like me
Well also you can't just throw AI slop as doctors or lawyers advice and fail multiple times until you find the right answer. With code and math you can have failures 1000 times for every success and still get rewarded.
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