I have it running on a cheap VPS and it's fairly locked down. Especially with all of the self-reinforcement learning and skill development it's been improving its usefulness and, overall, I've been pretty pleased. Surprised even, if I'm being honest.

I also wouldn't be surprised if there were plenty of people only dimly aware of the idea of a VPN who are now sitting up and taking note.

In the case of the LLM that longer-term learning / fundamental structure is a proxy for the static weights produced by a finite training process, and that the ability to use tools and store new insights and facts is analogous to shorter-term memory and "shallow" learning.

Perhaps periodic fine-tuning has an analogy in sleep or even our time spent in contemplation or practice (..or even repetition) to truly "master" a new idea and incorporate it into our broader cognitive processing. We do an amazing job of doing this kind of thing on a continuous basis while the machines (at least at this point) perform this process in discrete steps.

If our own learning process is a curve then the LLM's is a step function trying to model it. Digital vs analog.

I wonder how much crossover there would be between a trained text analysis model looking for Gen-X authors and another looking for LLM's.

Put another way, the advent of industrialized steam power wasn't so much about steam per se, but rather the intersection of a number of factors (steam itself obviously being an important one). This intersection became a lot more likely as the pace of innovation in general began accelerating with the Enlightenment and the ease with which this information could be collected and synthesized.

I suspect that the LLM itself may also prove to be less significant than the density of innovation and information of the world it's developed in. It's not a certainty that there's a killer app on the scale of mechanized steam, but the odds of such significant inventions arguably increase as the basics of modern AI become basic knowledge for more and more people.

The (occasionally) surprising part is that there are times where the generated clarifying questions actually spawn questions of my own. Making the process more interactive is sort of like a pseudo rubber duckie process: forcing yourself to specifically articulate ideas serves to solidify and improve them.

The same cycle happened (is happening) with crypto and AI, just in more compressed timeframes. In both cases the initial period of optimism that transitioned into growing concerns about the negative effects on our societies.

The optimistic view would be that the cycle shortens so much that the negatives of a new technology are widely understood before that tech becomes widespread. Realistically, we'll just see the amorality and cynicism on display and still sweep it under the rug.

The implications for valuation of 'legacy' businesses are potentially significant.

To an extent we're becoming wired to skim content because that content has been so deeply interleaved with items that aren't just extraneous, they're not even from the storyteller. I'd suggest this capability is even a kind of survival skill, akin to not only being able to spot motion in a dense jungle but to also instinctively focus on certain kinds of motion.

This really highlights how much the OS on network hardware is actually the biggest barrier to entry to the larger market. It's arguably one of the market segments where open source has traditionally had the least amount of adoption. Things have certainly been changing in recent years certain use-cases (e.g. SONiC and similar for DC switching) but it remains true that the OS itself (and the associated supporting infrastructure) is actually what drives both adoption and stickiness, not the newest/biggest/fastest speeds and feeds.

It's been true for a while that if RouterOS could be enhanced and made more attractive (manageability, support, QA, feature roadmap, 3rd part ecosystem, etc) it would make MikroTik a major market disruptor.

It seems sort of akin to some modern art that incorporated TV screens and video to make dynamic installations, like Nam June Paik.

The 10 and 20 in particular had a much longer lifespan than a lot of folks realize. There were cheap (for the time) upgrades to put quad CPU's and a decent selection of SCSI HBA's, Ethernet NIC's and even some ATM interfaces. I know I still saw those units fairly commonly well into the mid 2000's.

Many years ago I was running an 8x500G array in an old Dell server in my basement. The drives were all factory-new Seagates - 7200RPM and may have been the "enterprise" versions (i.e. not cheap). Over 5 years I ended up averaging a drive failure every 6 months. I ran with 2 parity drives, kept spares around and RMA'd the drives as they broke.

I moved houses and ended up with a room dedicated to lab stuff. With the same setup I ended up going another 5 years without a single failure. It wasn't a surprise that the new environment was better, but it was surprising how much better a cleaner, more stable environment ended up being.