Several streets in Carroll Gardens are bisected where the F and G subway lines escape their underground confinement and rise into the air for a short stretch between there and Park Slope. This is the end of one of those streets where the dead end sign hangs on the chain link fence above a brick wall. The roof of a subway train is tearing by from left to right at the bottom of the frame.
This Han Solo and Chewbacca decorated birthday cake was one of many Star Wars themed cakes I’ve enjoyed over the years.
The photo above shows me (left) and Greg (right) as we’re about to leave for the 1989 National Scout Jamboree in Washington, DC. By that point, we had spent a lot of our early life together–same elementary school, Cub Scouts, Webelos, and then, Boy Scouts.
On the long bus ride to the Jamboree, he assembled a plastic model kit of the USS Enterprise USS-1701-D. Imagine his determination to build that model while the bus is bouncing around on the roadbed and young boys are shouting and carrying on around him. He laid out his sprues in the flimsy cardboard box–full color lid inverted to hold the plain cardboard bottom–and applied bits of modeling cement from a metal Testors tube to bind and hold the bits together. I thought that he was out of his mind to build that model on the trip, but he wasn’t out of his mind–he was focused. It meant something to him. It gave him an escape and outlet from everything else going on around him. It channeled his love of Star Trek: The Next Generation into something tangible and real–bringing the utopian world on the screen into a moment of his real lived experience.
Some years before that trip, I spent an afternoon with Greg at his house. We pulled out his older brother Jeff’s precious Star Wars toys–carefully preserved in their original boxes and meticulously stored in his bedroom closet–for otherworldly battles in outer space. We assembled the Kenner Death Star playset and strafed its villains with an X-Wing and the Millennium Falcon.
Greg was an aficionado of great toy lines based on children’s cartoons. He had an extensive collection of action figures from He-Man and the Masters of the Universe, and he proudly showed off the Miraj with a full compliment of heroes from Silverhawks. I can safely say that I’m as impressed now as I was then. And, I was awfully glad we got to play with them together.
Even earlier, I remember being sick in elementary school. I might have missed a week of school. When I returned to classes, I didn’t have a lot of get-up-and-go. Greg became my companion during PE–we would walk the track beside Glyndale Elementary School. While we walked, we talked about all sorts of things–things that I can’t recall but feel like something important, meaningful, revelatory.
An even earlier memory is of Greg, me, and a bunch of other boys pretending to be Transformers in the expansive field behind Glyndale. Sideswipe was my preferred character. Greg, however, took it to the next level as Megatron–nailing his character’s raspy electronic voice and striking an imposing silhouette with his arm canon raised.
The last time that I saw Greg was June 16, 2018. I had visited his parents Wayne and Faye–my Boy Scout Scoutmaster and Cub Scout Pack Leader respectively. Greg happened to be home, so I got to catch up with him some, too. Our lives had diverged in significant ways, but he was still the same determined and playful guy I had know in my youth. However, I also sensed there was a gap between who we were and who we had become that couldn’t be bridged in a brief visit.
Greg passed away last Monday on 1 Jul. 2024–about six weeks shy of his 47th birthday. Looking at his LinkedIn profile, it seems like he was still moving forward–starting his own company and getting certifications in cybersecurity, which makes the unexpected news that much harder to bear. Even when the bonds of friendship have frayed with time, we still can’t help wanting our old friends’ dreams come true and feeling heartbreak when they don’t.
Y and I know this blue atlas cedar as “Big Tree Friend.” It grows somewhere in the middle of Green-Wood Cemetery. We walk around–turning here and there–until we eventually find it.
It has been growing in Green-Wood Cemetery for over 100 years–assuming it was planted soon after the death of the person it memorializes, Joseph Kinyoun (Nov. 25, 1860-Feb. 14, 1919). Its circumference is so large that I don’t think Y and I could join hands around it.
When you stand beneath it, it complete envelops you.
On a hot day, it’s a good friend to have shade you.
As I documented last year, I made a substantial investment in my computer workstation for doing local text and image generative AI work by upgrading to 128GB DDR4 RAM and swapping out a RTX 3070 8GB video card for NVIDIA’s flagship workstation card, the RTX A6000 48GB video card.
After I used that setup to help me with editing the 66,000 word Yet Another Science Fiction Textbook (YASFT) OER, I decided to sell the A6000 to recoup that money (I sold it for more than I originally paid for it!) and purchase a more modest RTX 4060 Ti 16GB video card. It was challenging for me to justify the cost of the A6000 when I could still work, albeit more slowly, with lesser hardware.
Then, I saw Microcenter begin selling refurbished RTX 3090 24GB Founder Edition video cards. While these cards are three years old and used, they sell for 1/5 the price of an A6000 and have nearly identical specifications to the A6000 except for having only half the VRAM. I thought it would be slightly better than plodding along with the 4060 Ti, so I decided to list that card on eBay and apply the money from its sale to the price of a 3090.
As you can see above, the 3090 is a massive video card–occupying three slots as opposed to only two slots by the 3070, A6000, and 4060 Ti shown below.
The next hardware investment that I plan to make is meant to increase the bandwidth of my system memory. The thing about generative AI–particularly text generative AI–is the need for lots of memory and more memory bandwidth. I currently have dual-channel DDR4-3200 memory (51.2 GB/s bandwidth). If I upgrade to a dual-channel DDR5 system, the bandwidth will increase to a theoretical maximum of 102.4 GB/s. Another option is to go with a server/workstation with a Xeon or Threadripper Pro that supports 8-channel DDR4 memory, which would yield a bandwidth of 204.8 GB/s. Each doubling of bandwidth roughly translates to doubling how many tokens (the constituent word/letter/punctuation components that generative AI systems piece together to create sentences, paragraphs, etc.) are output by a text generative AI using CPU + GPU inference (e.g., llama.cpp). If I keep watching for sales, I can piece together a DDR5 system with new hardware, but if I want to go with an eight-channel memory system, I will have to purchase the hardware used on eBay. I’m able to get work done so I will keep weighing my options and keep an eye out for a good deal.
