One approach I like to consider, a Gedankenexperiment, is thinking about your local square mile and how were X number of dollars spent in this region on Y time frame, perhaps today, last year, this decade and their why. The square mile isn't a hard metric, it can be bigger if you're more rural or smaller if urban but one question I think is how were a million dollars moved in this region and how quickly? Who is spending money and why? Can these costs be improved and so on. It helps going on google maps and scouting out your area for businesses and figuring out how they stay afloat and their why. If you want to integrate AI into the mix, you can bounce ideas off GPT-4 to play as devil advocate to see if the movement here makes sense and how it might play out in the future.
given that this is a laptop, and because usually whatever task that can done on Linux can done to some degree on either macOS (docker) and windows (WSL), I put aside my own personal grievances with the platforms and focus on one thing: battery life and for this macOS wins. But to focus again with only problems (and ignoring the obvious advantages of the platform) I've had is
windows: none, you can nitpick at the defaults with regards to telemetry as others mention but with the
group policy editor and registry, almost anything can be adjusted
macOS: lack of software compared to windows, especially CUDA
Linux: lukewarm hardware and software support, it is never as good as windows
> That 2019 Unesco report came with a call-to-action. “The world needs to pay much closer attention to how, when and whether AI technologies are gendered and, crucially, who is gendering them,” Saniye Gülser Corat, Unesco’s director for gender equality, said.
I read the article but they don't provide actionable solutions to this problem. What is the world specifically supposed to do after paying attention? They mention that
> Big tech has paid some lip service to this and has started offering more masculine voice options with their voice assistants. Still [...]
paying attention isn't enough, realistically, what is the plan to really address these issues?
> Over half of children under 13 used social media, contrary to most of the big platforms' rules, and many admitted to lying to gain access to new apps and services.
> Mark Zuckerberg, the chief executive of Meta which owns WhatsApp and Instagram, has previously suggested that he favours requiring app-stores to check the ages of users.
this is the first time I heard about this and I agree with this angle. App-stores charge a fee to act as a middleman. They handle distribution, payment, and offer account authentication, it would be good if they also handled age verification in a way that can't easily be circumvented (i.e. lying as mentioned in the article) rather than handing the hot potato to app developers to deal with.
> Artificial intelligence is likely to impact 60% of jobs in advanced economies and 40% of jobs around the world in the next two years, Georgieva told an event in Zurich.
I read the article but they never explained how. How will AI impact jobs in the next two years? I've seen TikToks of people going to the Wendy's drive thru that has AI chat but there's still a human in the loop to babysit it. But even then, the results are lukewarm. What kind of jobs will really be impacted and how?
My search experience has been the same always, just fine. I exclusively use Google and will switch my default search to Google even if it isn't (such as on raspberry pi OS where the default is DDG). To get anything of value, I have always first looked towards physical books and I spend most of my time at the public library. If I want the news, I turn to the physical printed editions of the newspaper that are updated each day at the library. For example, my last Google search a few minutes ago I looked for the iPhone 7 MSRP and release date and had no issues getting this information from google. I am left confused about these posts because they lack specific examples to better understand where you're coming from. I've always seen the comments about how people do site:reddit.com but I've never felt the need to do so either
> So how do you know that any idea built on top of OpenAI is future-proof and actually adds value
one idea is to not build in a way that you depend on OpenAI. You should build on top of their offering in a way that it is interchangeable with other providers, especially offline local solutions which is something OpenAI being an API first company will not have a strong offering for and where you can demonstrate your value.
