u/Porespellar

Waiting on Qwen to drop those 3.7 models be like:

Mods please be kind. This was not “low effort”. It took me several minutes to find just the right waiting room gif to capture the sentiment of all us folks patiently waiting for our brothers and sisters in the east to hopefully drop some amazing new models on us.
I’m hoping for the 27b and 122b models, but I’ll be happy with whatever at this point. We need to see our little Capybara friend make an appearance here soon.

u/Porespellar — 1 day ago

Montgomery Biscuits game clip goes viral over on the r/Sports subreddit:

From the sports community on Reddit: Biscuits outfielder Austin Overn rips a ball down the right field line, right fielder slides over the ball, ball gets lodged into the ground so deep it turns into an inside-the-park home run (under-the-park home run?)

reddit.com
u/Porespellar — 6 days ago
▲ 88 r/caps

I accidentally bought the worst possible piece of Caps sports memorabilia from a random thrift store in Georgia. Should I burn it?

I was at an antique / thrift store near Helen Georgia a few days ago and spotted this old Caps patch. As a Caps fan, I blindly purchased it and didn’t realize exactly what I had until I began reading the text that went along with it when I got home. Yikes. Kind of wondering if I need to just go ahead and burn this thing.

Here’s the text that goes with the patch:

“The Washington Capitals® set four NHL® records in 1974-75, their first season in the league Unfortunately for the Caps, their records were for futility: at one point in the season they lost 17 straight
games, and lost 37 straight on the road. They allowed 446 goals against and won just eight games, the fewest ever in a regular-season schedule of 70 or more games. The Capitals used three coaches during the season, but nothing could overcome the team's lack of talent.

The Capitals were hindered partly by the expansion draft. As a new franci Washington could pick players from the established teams, but those teams allowed to protect their most important skaters. As a resuit, Washington's lineup was a collection of older players, minor-leaguers and fringe NHL players. The Kansas City Scouts", the NHL's other expansion team in 1974-75, buit its roster through the same system—and managed to win a respectable 15 games in its inaugural campaign. The Capitals did have a chance to acquire some young talent in the 1974 Entry Draft-they had the top pick in the first and second rounds-but the players they selected weren't able to make a substantial impact in the NHL. WASHINGTON CAPITALS

TOP DRAFT CHOICE PRODUCES ONE GOAL
Defenseman Greg Joly, Washington's first draft pick, appeared to have a lot of potential. He nad been named MVP of the Memorial Cup-Canadian Junior hockey's version of the Stanley Cup®-and his team, Regina, captured the championship. However, Joly strained his Achilles tendon in training camp and started the season poorly. He then injured his knee, missed 36 games, and struggled again when he returned. He finished the season with just one goal.

The team's second pick, winger Mike Marson, had a slightly better campaign.
He scored 16 goals, despite having arrived at training camp 27 pounds overweight.
Washington's top line at the start of the season was not a bad one, but it lacked a scoring touch. Veteran center Tommy Williams, who never had scored more than 23 goals in 14 pro seasons, notched 22 in the Capitals' first year. Left winger Denis Dupere was a good penalty killer, and he helped the power play despite his mediocre shot. In the first 28 games, he scored 14 goals. Right winger Dave Kryskow had been the club's first pick in the expansion draft, but he did not contribute much to the score sheet. Both Dupere and Kryskow finished the season with other teams.

SECOND LINE WOES
The second line was much less effective. Winger Gordie Brooks scored one goal before General Manager Milt Schmidt demoted him to the American Hockey League, while center Pete Laframboise scored just five times in 45 games.

Schmidt then traded Laframboise to Pittsburgh. Originally, Marson was the third member of the line, but Mike Bloom replaced him. This unit became known as the Blood Line, largely because of Bloom's fighting ability-he defeated Montreal heavyweight Pierre Bouchard in one bout. This was one of the few triumphs the Capitals enjoyed during the 1974-75 season.”

Why would they even sell this thing?

u/Porespellar — 6 days ago

When is Andrej Karpathy going to look at a chicken nugget and tweet that it helped him solve AGI, which in turn inspires 6 random devs to create GitHub projects giving us actual AGI?

Karpathy appreciation post. Seriously tho, he’s done this like a bunch of times lately. Every time he sneezes on the subway we get a bunch of developers becoming inspired by his ideas and turning them into viable AI-related Gitub projects that actually do really amazing things. This guy is on a roll lately.

He is one of the greatest minds in AI and we are very fortunate that he occasionally lurks on this sub. Andrej, if you’re reading this, Thanks for all the cool stuff you’ve put out into the world and thank you for inspiring others to do the same.

In case anyone needs a reminder, look into:

- Second Brain
- AutoResearch
- LLM-Wiki
- nanoGPT
- AgentHub
- LLMcouncil
- GPT-2
- Autopilot (Tesla)
- “vibecoding” (he coined the term)

I’m sure I’m missing a bunch of other of his accompaniments, projects, or ones he’s inspired, so please add if you know some others.

reddit.com
u/Porespellar — 7 days ago

Unpopular Opinion: The DGX Spark Forum community of devs is talented AF and will make the crippled hardware a success through their sheer force of will.

There is a lot of disdain for DGX Sparks here on the sub. And I get it. A lot of people say “It could have been great if it had been better memory bandwidth”, “SM-121 is a fake /second-class Blackwell chip” yadda, yadda. These criticisms are valid.

I bought one anyway because I’m pursuing a Masters in AI and I wanted it for training models, tool dev, testing, etc.
I was an early adopter, and like many, I was disappointed by the inference performance and software stack initially. Recently, my opinion and experience has changed.

NVIDIA has an “official” DGX Spark Development community forum that is thriving. The people in the DGX forum community are some of the kindest, smartest, most tenacious group of developers I’ve met. These dudes have one common goal: Squeeze every last drop of performance out of this hardware to prove to themselves and the world that they didn’t make a bad purchase by buying a Spark. I know that sounds snarky, but I don’t think it’s a bad goal.

The vibe on the forum is like “Ok bros, we all bought this thing, the peeps over at r/LocalLLama are all laughing at us right now, let’s show those sons-of-bitches what we can do” I mean, none of them would actually say that, because they are all really nice and helpful people, but that’s the vibe I get when I’m browsing through the posts. Everyone there has the same goal: optimize the hell out of DGX Spark to the highest level possible.. It’s wild seeing such a harmonious atmosphere. No one really argues, trolls, rage baits, none of that. Just everyone in the same boat, working together and encouraging each other, sharing benchmarks, code, vLLM recipes, etc. Reminds me of the vibe of this sub like 2 years ago before all the bot posts flooded the place.

If you don’t believe me, about the DGX dev community, go check it out for yourself:

https://forums.developer.nvidia.com/c/accelerated-computing/dgx-spark-gb10

Check out some of the cool projects they’ve spun up like Sparkrun (http://sparkrun.dev), PrismaQuant, Spark Lesderboard, eugr vLLM, and all the other amazing projects these guys are working on.

The one big advantage of the DGX hardware for these developers is the fact that the HW and OS is all exactly the same for everyone. You know your shit is going to work on every other Spark box that is out there and that is powerful for a unified community with one common goal.

So yes, DGX Spark could have been a lot better and was probably crippled by design, but that’s not stopping the DGX Spark Forum community, these MFers are going to use their sheer force of will and talent to make this thing a success just to spite all the naysayers. My two cents, agree or disagree?

u/Porespellar — 13 days ago

This post will have a slight old-man-shakes-fist-at-sky vibe, because….well… I’m older, so if you’re not into that, then please feel free skip it.
I have been contributing to this sub for like 3 years now but I’m fearful this post will likely get downvoted into oblivion for what I’m about to say: After running Qwen3.6 27b in a Hermes Agent harness for the last week, I’ve come to the realization that this new crop of local models, in the right agentic harness, with the right tools and permissions, can effectively handle junior-level IT professional work very effectively now. A month ago, I would have said no, but now, they definitely can.

I’ve been in IT for nearly 30 years working at nearly all levels of the industry at some point in my career, and a few days ago I handed Hermes Agent (with Qwen3.6 27b as the model) a task list that I would have handed to a junior level IT admin previously, and I just let it go do its thing, and it absolutely understood the assignment and nailed it.

Paraphrasing here, but I more or less asked the agent to, “Go update this system to the most current patch level, install Docker, load these 5 different GitHub repos and set them all up to use local models, start all the server containers and associated services and let me know when you’re done”

And I’ll be dammed if it didn’t do exactly what it was told. Sure, it hit some slight stumbling blocks along the way, but it overcame ALL OF THEM, or asked me to approve something (as a junior admin might) but it kept on chugging away with little to no intervention needed on my part. Again, I wasn’t using a frontier model, just local Qwen3.6 27b running on a GB10 DGX Spark clone.

It did in an hour and a half what would have taken a junior level IT admin like maybe 3 hours. Not a massive time savings, but a definite labor savings for me which let me accomplish other tasks instead of doing that boring shite.

I see the writing on the wall here. I think It’s only a matter of time before large software developers, IT infrastructure appliance makers, etc, start building mini locally-hosted “admin agents” that run low parameter count fine-tuned SLMs and LLMs that run efficiently on CPU in the background (or vis API) and monitor and resolve issues that would normally be handled by system administrators. System admins won’t be replaced directly, but it will definitely change the ratio of admins needed to support X number of servers by a substantial number because now 1 admin can leverage admin AI agents and support more servers.

Of course, there will be cautionary tales and disastrous AI oopsies when admins get lazy and run in YOLO mode. There will probably even be some sabotage actions by admins who are fearful about being replaced by AI and want to prove they are indispensable by wrecking stuff and blaming AI. With time, I think these issues will be addressed and resolved.

I think the best strategy we as IT professionals can take is to learn and leverage AI agent skills to 10x our output so that we remain relevant and useful. That, and carry a can of WD-40 around with us so we can oil the machines when they need it. Someone has to oil the machines, right?

Seriously tho, I don’t think people outside of our niche AI circle really understand what’s on the horizon. It will be a slow attrition based on AI agents gradually being trusted with more tasks. The models and harnesses over the last month are just different, the agentic Ralph loops are tenacious and the silent failures are much less than before. I’m starting to “feel the AGI” LOL.

I’ve been wrong before (my wife will tell you that) but I just wanted to put it out there to start the civil discourse and see what others in the community think and feel. What’s your take on it?

reddit.com
u/Porespellar — 15 days ago

Loving the trend of chonky dense models we’ve seeing right now. Keep then coming!

u/Porespellar — 22 days ago