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Thematic Map: Cedar River Flow Campsites
Map: Follensby Clear Pond

Memorial Day – Often miserably hot or cold, sometimes nice 🇺🇲

Over the past 15 years (2011–2025), Memorial Day Weekend weather in Upstate New York has featured extreme variation, ranging from 93°F heatwaves (2016) to unseasonably cold, rainy washouts with highs under 50°F (2013 and 2021)..

  • 2025: Chilly and damp. Highs only reached 60° to 71°, with lows dipping to 45°. Light rain showers fell each day, totaling about 0.09 inches.
  • 2024: Warm with a rainy finale. Saturday and Sunday stayed dry with comfortable highs in the low-to-mid 80s. Monday brought heavy thunderstorms, dropping 0.56 inches of rain.
  • 2023: Sunny and hot. Ideal holiday weather with clear skies. Temperatures soared from a crisp 44° morning on Saturday up to 90° by Sunday afternoon.
  • 2022: Beautiful and progressively hotter. Mostly clear and dry all weekend. Highs rose from 80° on Saturday to a blazing 88° on Memorial Day.
  • 2021: Historic washout. One of the coldest, wettest weekends on record. Highs failed to break 50° on Saturday and Sunday, accompanied by a relentless 0.82 inches of cold rain.
  • 2020: Warm and dry. Perfect outdoor conditions with zero precipitation. High temperatures consistently hovered between 79° and 85° all three days.
  • 2019: Pleasant and dry. Saturday started cool with a high of 73°, warming up nicely to 86° on Sunday and 81° on Monday.
  • 2018: Briefly hot, then cooled off. Saturday hit a scorching peak of 89°. A cold front moved in on Sunday, dropping highs to 68° with 0.18 inches of rain before recovering to 73° on Monday.
  • 2017: Overcast and cool. Highs sat in the low 70s on Saturday and Sunday. Monday turned dreary and cold, maxing out at just 61° with 0.36 inches of rain.
  • 2016: Record-breaking heatwave. Exceptional summer weather. Saturday hit an intense 93° and Sunday reached 89°. Monday cooled down slightly to 84° as heavy afternoon storms dropped 0.61 inches of rain.
  • 2015: Cold start to hot finish. Saturday morning started at a freezing 38° with a high of 65°. Temperatures rapidly rebounded, hitting 82° on Sunday and a hot 88° on Monday.
  • 2014: Mild and comfortable. A few light scattered sprinkles over the weekend (0.15 inches total). Highs started cool at 69° on Saturday but climbed to 83° by Monday.
  • 2013: Frigid and miserable. . Saturday stayed at an early spring-like 46° with a heavy 0.75 inches of rain. Sunday and Monday mornings bottomed out at a freezing 39°, though Monday cleared up to reach 71°.
  • 2012: Consistently warm. A remarkably stable, dry weekend. High temperatures peaked at exactly 84° to 85° all three days, with minimal overnight cooling.
  • 2011: Hot and clear. Summer season arrived early with dry conditions. Highs reached 85° on Saturday and Sunday, before peaking at a humid 88° on Monday.

Extremes

  • Hottest Day: Saturday, May 28, 2016 – high of 93°
  • Coldest Day: Saturday, May 25, 2013 – low of 39°
  • Wettest Weekend: 2013 (0.79 inches total rainfall)
Map: Floodwood Pond Loop
Terrain Map: Peebles Island Terrian

Will AI Be Gone By Next Year? 🤖

People believe that artificial intelligence is now just a permanent part of the landscape. But I have questions – and a fear it might come to a hastily end should the stock market have a melt down.

If you were to open the news reports or read the social media full of posts expressing opposition to the construction of the many proposed data centers, you would think the AI was inevitable – an only growing part of the landscape eating up more and more land on the outskirts of cities and consuming more and more electricity. But AI only grows where there is capital flowing into it. People only invest money into things that they believe there is a potential for return.

Inevitably, there is some areas where Artificial Intelligence will prove worthwhile. Paid AI, mostly by businesses and others wiling to subscribe, has a bright future – as it has a built in source of revenue. Businesses can benefit from coding assistance, data processing by machine learning and finding trends in data. But it’s not clear that free meme and text generators have a business model that will be worthwhile to continue to funding after the initial hype and excitement wear off. Cute cat pictures and generated texts are fun, but if it’s costing billions in electricity, who is going to pay? Maybe there are some people willing to subscribe to an AI service but it’s not an expense I’m interested in paying for at this point. AI is useful, but not that useful to give up my hard-earned cash.

And the thing about all things AI is it’s very temporary. The AI data centers only have a useful lifespan of a few years before the computing hardware is both worn out and obselete. They require intense amounts of expensive electricity to operate. And who is going to pay for it? The cheap and easy money that is allowing too many data centers to operate at a loss may be but a needle prick of a balloon from popping. Interest rates are increasing, and energy costs are soaring with the War with Iran. A mature melt down of the stock market might lead to most of cash drying up from AI data centers, except those most profitable. Without constant influence of cash, data centers can’t keep the lights on nor can they keep their hardware up-to-date and functional.

I would argue that Elon Musk’s SpaceX is likely the needle that might be the one that crashes the stock market and causes the recession fueled by high interest rates, excessive borrowing, high gas prices and inflation. SpaceX with the help of President Trump administration leaning on the indexes, is being advanced quickly into the portfolios of millions without being properly priced for a company with dubious underlying financials. While StarLink Satellite Internet and SpaceX Rockets are nothing short of amazing, and profitable businesses, the problem comes in how Musk has structured the businesses, sopping up the money losing Twitter and xAI businesses. It’s kind of ironic to think an artificial intelligence business could be the one that takes down AI.

I figure it’s best to play with services like Gemani, Meta AI and ChatGPT while they are still freely avaliable. But don’t become dependent on them, as while their bones might survive a major stock crash and slowing credit markets, don’t expect such free to use but energy and material-intensive services to be around much longer. Paid services yes, but the AI might become an elite service, something some people may pay for if it’s suits their business needs, but not an every day product.

Map: Sand Lake
Map: Harrisburg Roadside Camping