My Morning So Far

What an intense morning.

I learned about the existence of iTelescope, thanks to this blog post from Christopher Curtis, a service where you can rent astronomical observation time from the comfort of your home.

I read about the Eternal Recurrence, thanks to a post from Gr36. I would be ok with the idea of reliving my life as is. Over and over again.

Thanks to this superb article about Fediverse from Glenn Fleishman for Tidbits, I learned that we could follow anyone on Mastodon using an RSS feed, which we could do with Twitter. I’ll be able to re-add accounts to Inoreader to get news in one place, just as I was doing when I was on Twitter. Cool.

All this because I was searching for ideas to write a few linkposts. I wrote none except this post, but I learned quite a lot. I updated my Digital Garden accordingly.

As reported by Om Malik, automation is the next evolution step for fast food chains. Should I care?

Am I missing anything? I think so, and this is where Rewind could help me a lot.

What about your morning?

One of the best activity-tracking apps focused on steps tracking is StepsApp. I always find something new each time I use it. It is such a well-crafted piece of software. A vast array of widgets come with the app too. I paid for it. That being said, I’m not proud of my activity trend for the last two years. 😒

On Slowing Down AI To Stay in Control

I had a discussion about AI yesterday with my wife. She came back from a two-day conference in Toronto. One of the sessions was about the place of AI in society and how it is time to engage in promoting and organizing some AI regulations.

The more I read and learn about AI capabilities as exposed in tools like ChatGPT, the more I think we will eventually need some regulation. For example, one thing we discussed (and on which we couldn’t agree) is the introduction of a delay in AI training. What I’d like to see is that AI companies are imposed a 2 or 3 years delay for their model training. And why would this be necessary? How would it change the game?

Remember that current training is lagging simply because we lack the processing power to digest all the digital information produced daily. But, eventually, it will come, just like Google replaced Yahoo when index content was initially entered manually by a group of people and then by a community. Sooner or later, ChatGPT or similar tools will digest the web in near real-time. And this is where this is going to be even more scary and could really get out of control.

Imposing delay on models training would help public knowledge and content to settle down and let consensus emerge in any research field, for example. Short-term noise would be reduced. In my opinion, it would be more challenging for ChatGPT to be infected by bad actors who will eventually try to influence results with toxic data.

My wife and I couldn’t agree on the effectiveness of this simple measure. She thinks that it would make ChatGPT useless or less relevant. My take goes the opposite side where, like in real life, things like encyclopedias are still helpful even though they were written and got frozen as soon as they were printed. So there is a need for them, like there is a need for more dynamic knowledge content like Wikipedia.

More than ever, we need to define what makes us unique, how we protect how uniqueness and consider slowing things down a bit, so we can have more time to understand what is going on and where things could go if we let things go without proper framing.

Targeting the First Thousand YouTube Subscribers

My goal when I started doing YouTube videos about Craft (and now Micro.blog) was to reach a thousand subscribers during the first year. At the current rate, I won’t make it. Am I sad about this? No. Is it nagging me? Yes. Why?

I think there are a lot of Craft users out there, and I think they could benefit from watching a few of my videos. That’s the whole purpose and “raison d’être” for my YouTube channel which was (and still is) to help users get better at using Craft or learning about Craft if they are not currently using it. Is my absence from Twitter to promote my content making any difference? Maybe. Maybe not. Who knows.

I still have some time left before June 6th, but I’m being realistic here.

I’ve been following Apple since 1982. At that time, Apple was selling the highly successful Apple ][+ line, the much less successful Apple ///. The Lisa was still a project. The Mac was not even on the drawing board. I find it cool to see the young generation of tech guys today who are fervent admirers of Apple. These people weren’t even born in 1982.