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stellz

@piss.beauty
7.9K followers 1.1K following 32.2K posts

club rat, technology sister, dancefloor diva. 🌹Bushwick music: plyr.fm/u/piss.beauty

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stellz @piss.beauty · 5h
no it's deepseeking
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Reposted by stellz
affine @refinement.systems · 17h
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stellz @piss.beauty · 6h
it reasoned mostly fine just too verbose imo. def better now
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stellz @piss.beauty · 9h
it bangs btw less verbose reasoning (which was the primary annoying thing about DS to me) thus less time and tokens to accomplish the same task, also just better performance
benchmark comparison between new and previous deepseek flash where new wins substantially or at least minorly in all benchmarks
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stellz @piss.beauty · 9h
details direct from them
api-docs.deepseek.com
DeepSeek-V4.1-Flash-1017: Wish-Driven Programming Made Real | DeepSeek API Docs
🚀 DeepSeek-V4.1-Flash-1017 is here!
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stellz @piss.beauty · 9h
Benchmark comparison table with DeepSeek V4.1-Flash-1017 highlighted against DeepSeek V4.1-Flash, Kimi K3, GLM 5.3, GPT 5.6-Sol, and Claude Opus 5. DeepSeek-1017 leads on DeepSWE (77.0), Automation-Bench (60.5), Agents’ Last Exam (35.4), and Apex Bench (72.1). Claude Opus 5 wins most other rows, including HLE, Terminal-Bench, NL2Repo, and BabyVision.
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stellz @piss.beauty · 9h
happy update day to all who celebrate
banner on deepseek api saying deepseek flash 4.1 has been updated today
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stellz @piss.beauty · 17h
Yeah :(
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stellz @piss.beauty · 22h
a lowest tier review is like 25-30 seconds of gemini flash + a free openrouter model (nemotron 120b rn) so it's literally free.99
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stellz @piss.beauty · 22h
knowing you'd read it I definitely will thank you nate
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stellz @piss.beauty · 22h
a review-low tier review (the standard 2nd round review tier) often costs less than a cent to run, like $0.006-$0.008, if the change isn't big. and like $0.02 for a really big one main (medium) tier is like %50 more that, would be more without Gemini subsidy but still like 5 cents
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stellz @piss.beauty · 22h
a lot of people would be surprised just how cheap this review process is with the right models because of freeriding on the gemini for ~8 more months I get half of the reviews free, but that's a bit < $20 sub equiv the rest is all api pricing for luna / haiku / ling 3.0-flash / rare sol or sonnet
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stellz @piss.beauty · 22h
should I use this to update my blog stack and then blog about the approach. would anybody read
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stellz @piss.beauty · 22h
who up optimizing their yields
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stellz @piss.beauty · 22h
I'm already doing it with free nemotron 120b on openrouter, it's a bottom-tier reviewer lol
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stellz @piss.beauty · 17/10/2026
have I crossed the threshold into full ai psychies now by showing y'all this
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stellz @piss.beauty · 17/10/2026
really useful for optimizing whatever processes you're running in the loop over time the agent assesses quality of the reviews when it writes the ledger entries, and it does work to validate the review findings as part of its natural workflow anyway, so the scores it assigns aren't out of nowhere
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stellz @piss.beauty · 17/10/2026
@jkachmar.com i remember you asked me to tell you how i ended up customizing pi i only went slightly sicko mode
tangled.org
piss.beauty/pi-rig
my pi harness customizations, including a structured, multi-model system of iterative work
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stellz @piss.beauty · 16/10/2026
there's even a reviewer calibration mode where you launch a panel of models to review the same diff, & then the main agent validates their findings before doing a quality comparison between the reviews it got here i'm comparing gemini-medium, luna-medium, luna-high, & ling-high
and this one. make it very concise

Pi harness screenshot: three parallel subagents (two luna-reviewers, one ling-reviewer) reviewing commit 2f358e5dd0 in openmw_alt’s water-aware transparent bin code. They’re reading source files and git historyPi harness screenshot: a review-panel comparison on commit 2f358e5dd0 where all four arms (ling-high, luna-medium, luna-high, gemini-medium) found no defects. ling-high was the cheapest ($0.00093) and fastest (34s) at score 9, while luna-high cost about 12× more for no extra insight.
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stellz @piss.beauty · 16/10/2026
they even squash out these intermediate commits from the history before moving on from each step, since we mostly make the intermediate commits to easily generate a diff since last review, & only secondarily for checkpointing the work it's all really focused on continous mechanical deslopifying
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stellz @piss.beauty · 16/10/2026
the 2nd round of review for each step uses a weaker review panel than the 1st for cost reasons, but can get away with it because we ask them to focus on verifying that fixes applied after the previous round of review are good includes using a intermediate commit to supply a diff since last review
A dark green terminal screenshot from the Pi harness, showing a “ling-reviewer” subagent running a follow-up review of fixes in an openmw-benchmark repo. The task text lists six prior-round fixes to a suite load-mode change, followed by a condensed Rust diff touching app.rs, report.rs, and suite.rs
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stellz @piss.beauty · 16/10/2026
i don't really i juggle 2-3 projects throughout the day & let 1 main agent work in each at once each calls skill:review (or review-low, review-high, as needed by risk level) when it needs, that launches 2 independent reviews which main agent then validates the findings of + fixes, then repeat
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stellz @piss.beauty · 16/10/2026
agents know to use this iteration loop & i set them to auto mode, so i can put deepseek on it in the morning & it will churn for hours using this review cycle, resulting in a branch which is pretty much ready for PR even knows how to run benchmarks, so it will bail on an optimization if invalidated
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stellz @piss.beauty · 16/10/2026
it's very effective for producing clean git branches with logical commits, which can easily be reviewed by upstream maintainers each commit gets 2 two rounds of review with 2 reviewers each then there's a skill that does the same thing but considers the branch as a whole, makes sure it is PR-ready
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stellz @piss.beauty · 16/10/2026
granted, i have flash model madness - i use a custom panel of different flash models that review each other's work in a structured way to do %95+ of work including tracking quality vs cost of review panel members over time
table showing lots of data about the performance of each model+effort level combination when used as a code reviewer

it shows number of runs, avg review score, latency, and cost information for a number of flash models
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Reposted by stellz
∿ @somewhere.systems · 16/10/2026
We've developed a new inference engine, called 'e'. It's the closest thing to alien technology which we have, and pushes 10,500 tok/s aggregate on a single DGX Station with the new @NVIDIAAI Nemotron 3.5 Super VL model. actual.inc/company/blog...
actual.inc
Actual Computer › Case Study : GB300 and Nemotron 3.5 Super VL
Department-scale AI from one NVIDIA DGX Station: Nemotron 3.5 Super VL at 8,000+ tokens per second, shared by your whole team through api.actual.inc.
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stellz @piss.beauty · 16/10/2026
I haven't I love the sparkle. it sounds like it wasn't amazing?
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stellz @piss.beauty · 16/10/2026
these cases were like 2/3s the normal price for a short while so I was like sure I'll have as many $1.17 celsius cans as I can reasonably store
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stellz @piss.beauty · 16/10/2026
that's just you knowing that coffee tastes good. this is caffeine addiction speaking
Stacked cases of Celsius sparkling drinks in several flavors, including Peach Vibe, Fuji Apple Pear, Mango Passionfruit, Strawberry Passionfruit, and Kiwi Guava, piled in a corner next to a few Snapple bottles.
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stellz @piss.beauty · 16/10/2026
my main critique is cern should get a better partner than mistral
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stellz @piss.beauty · 16/10/2026
counterpoint: attie may not be good but shameless investorbait sustains companies
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stellz @piss.beauty · 16/10/2026
damn man
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stellz @piss.beauty · 16/10/2026
holy shiiiiit nice you're a real deepseeker
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stellz @piss.beauty · 16/10/2026
please millennial ketamine abusers have better than this
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stellz @piss.beauty · 16/10/2026
which is different from the skating rink themed bar without skating that also has DJs
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stellz @piss.beauty · 16/10/2026
I think they're just cranking opus for flash model level problems
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stellz @piss.beauty · 15/10/2026
they had a 4hr 53 minute outage, and thus granted everyone as much api credit as they used the entire past week, which seems generous
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stellz @piss.beauty · 15/10/2026
thank you for the free tokens Liang Wenfeng, very cool
DeepSeek Usage page showing a blue notice about an API outage on October 15, 2026 (8:11 to 13:04 Beijing Time), with compensation credit for usage from 10/8 to 10/14. Balances are $9.32 topped-up and $3.62 granted, with $8.93 total cost, $6.34 cost over the last 7 days, 3,584 API requests, and 648,880,061 tokens.DeepSeek billing page on the “Granted” tab, showing one active $4.88 credit created 2026-10-15 04:24:41 with no expiration, labeled “Service Compensation.”
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stellz @piss.beauty · 15/10/2026
it tastes different it's not as good you're right. aluminum forever
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stellz @piss.beauty · 15/10/2026
no you should take a hostage and demand they provide free diet coke to employees
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stellz @piss.beauty · 15/10/2026
local mixed economy market socialism enjoyers eating good
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stellz @piss.beauty · 15/10/2026
Screenshot of three YouTube comments: “@empy222” (514 likes, 9 replies) says “love that as soon as Nick left the audio got terrible”; “@shaftpunk84” (536 likes, 3 replies) says “Meeting of the bugs.”; and “@pdaimperial” (126 likes) says “Just a couple of lil quirked up teenage 40 year olds vibing frfr.” Each comment shows a profile icon: a pink circle with “t,” a dog photo, and an orange circle with “p.”
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stellz @piss.beauty · 15/10/2026
adam's taste in guests feels calibrated to make everyone slightly mad at him intermittently
youtube.com
GRIMES Talks Elon Musk, AI, and the End of Humanity
YouTube video by The Adam Friedland Show
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stellz @piss.beauty · 15/10/2026
it's a bit of both, i wanted to try a more complex use case for this little model, see if i can get something that runs on a 16gb unified memory machine to actually be useful
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stellz @piss.beauty · 15/10/2026
hmmm looking at my posting lately i think i might be developing a bit of the madness
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stellz @piss.beauty · 14/10/2026
it (experimentally) works with pdfs too it decomposes the pdf into text & images (including rendering diagrams to images) using poppler tools (pdftotext etc.) the qwen model is multimodal so you can input images & get those images considered in the summary
description of some work done to implement understanding pdfs in a multimodal model that doesn't natively support them
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stellz @piss.beauty · 14/10/2026
dedicated summarizer / compactor is the first useful thing i've found to do with this spare 16gb m1pro machine. with a bit of tuning qwen-3.5-9b quality on this can be decent if not amazing on longer contexts
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stellz @piss.beauty · 14/10/2026
yeah this looks perfect thank you!
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stellz @piss.beauty · 14/10/2026
who had that tool that would take a bsky thread link and convert it into a text-only representation? am i imagining that someone posted this
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stellz @piss.beauty · 14/10/2026
the 32gb m6 chip would be such a budget sweet spot for smaller local stuff if they didn't make the memory bandwidth (170 GB/s) so much smaller than on pro/max series chips (last-gen m5 pro has 307 GB/s) especially since it seems there's not going to be m6 pro/max
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