Maple log — finishing boil

We used our DigiBoil 65L 240V pot to finish the sap since it’s quick to remove from the heat once the syrup is ready (and it’s got a spigot that makes emptying the pot easier). This also gave us a good picture of how long the DigiBoil is going to take to boil wort when we’re making beer. Yesterday, with temps in the upper 30’s, it took about 1h50m (basically two hours) to boil 10 gallons of concentrated sap. Today, with temps in the upper 40’s, it took about 50 minutes to boil 7 gallons of concentrated sap.

Sunday 05 March 2023
15:44 59F
16:40 167F
17:17 203F
17:34 208F and rapidly boiling
1h50m to boil.

Flamed out just after midnight

Monday 06 March 2023

09:43AM – 68F turned on 500W
09:50AM – Turned on 2nd switch
09:56AM – 111F – turned on 3rd switch
10:32AM – 7 gallons is now boiling
About 50 minutes to boil.
Maple flame out at 2:34PM

Bottled, we have 3.5 gallons of maple syrup from our first run

How AI is like Social Media

I’ve said about social media type platforms – if you are making an informed decision to trade privacy for convenience / information / entertainment / comradery … if you feel that you are getting a good “deal” in that trade? Then social media type platforms are awesome. If you only think you are getting something in the deal – unaware of what the platform owners are getting from you – then I find that problematic.

The same is true for the public AI models – some of what they are getting from you is just language training & beta testing. If I had a dozen people type questions, I have not gotten a robustly representative sample of how ‘people’ talk. Getting a few million people to provide samples of their linguistic quirks is absolutely an important part of producing universally useful natural language processing. The models are also asking you to flag anything odd / wrong / unsettling. Again, this is the public providing numbers to testing that has already been done.

But … if an AI is being trained by inputs, information you provide is being incorporated into the underlying patterns. Which isn’t to say they are saving the exact text I provided in a transaction. Even so, the information provided can, in a more general sense, become part of the AI’s knowledge base. And, if that knowledge base is used to serve results to the general public? Then it is possible for the AI to “leak” confidential information that I fed into transactions.

Tableau — Installing after Control Panel Uninstall

When attempting to install Tableau, I got an error telling me that “an older version of tableau is installed but the tsm administrative services are not running” … which, as I didn’t own the server until recently, was quite possibly true. But it was also uninstalled from the control panel, cleaned up on disk, and really not there to start.

I discovered that Tableau registers some environment variables — and the mere presence of these variables will cause the “it’s already installed, so I’m not going any farther” error. Deleting the environment variables allowed me to re-install the current Tableau version without problem.

To remove an environment variable, go to Control Panel > System > Advanced system settings — highlight the variable you want to remove (all of the TABLEAU* ones in this case) and click ‘Delete’.

Artificial Limits on Artificial Intelligence

I cannot say it surprises me that a company that considered “restart it” and “reboot it” to be suitable solutions to a whole host of memory management issues has decided that clearing the history after n interactions with their AI chatbot is the solution to not having it out looking for nuclear codes. From a functional standpoint, I can see where one or two “turns” is probably sufficient for the search engine to produce some salient information or relevant links. But, from a technological standpoint, it seems that an AI that becomes “confused” five or six exchanges into a conversation is vastly problematic; and introducing some artificial limit on the front-end to reset the history (1) eliminates a key feature of learning algorithms by preventing it from “learning” you and (2) is akin to turning your back on a tiger and considering the problem sorted.

Mid-Season Maple Collection Status

So far, we’ve collected about 121 gallons of maple sap. We started boiling the sap on the 23rd using our new maple evaporator.

Maple Sap Collection Log

Date Location Quantity
2/14/2023 All trees except river 60
2/18/2023 All trees except river 20
2/23/2023 All trees except river 15
2/25/2023 River 6
2/26/2023 Back woods and front yard 12
2/26/2023 Top of Driveway – east and west 8