✚Dillon
15.2K posts

✚Dillon
@moredillon
Here For Fun ✚ @TrademarkEvents ✚ Technical Producer ✚ 360/VR/AR ✚ Decentralized Internet Connoisseur ✚ FWB fren ✚ ~taswyx-rapbus for now
San Francisco เข้าร่วม Mayıs 2007
5.1K กำลังติดตาม1.6K ผู้ติดตาม

PSA: You can vibe code your own "New tab" page in Chrome. I have turned mine into the ultimate solution to the "too many tabs" problem
- See all your tabs with clear titles, grouped by domain
- Closing any tab gives you "swoosh" sound and confetti effect 🎊
- "Easy wins" grouped together: homepages, localhost tabs... batch-close them with one click
- Duplicate tabs detected; close duplicates with one click
- For tabs you're not done with, save it for later in a checklist
This is the Marie Kondo method for browser tabs
Open-sourced the code below
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@andrewfarah This worked a treat, but I have a question: How would I output the classification ran by the LLM. The processed data/classification seems accessible by ft, partly visible as a nice summary with ft vis, but I can’t seem to find the output myself. Is it meant to be temporary?
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@andrewfarah @micahstubbs Thank you! This beats the makeshift browser setup I was going to build
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@typedfemale no because the dual monitors at whole foods is a whole vibe. mans got priorities
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@mrbleu_11 @typedfemale @grok They look like uperfect delta monitors, probably 2x the max 18”, which are unwieldy to travel with IMO. It has HDMI in and usb c in for each screen on each dual monitor. You can’t feed 2 signals from one comp over a single usb c cable. You should avoid monitors that promise that
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@bilawalsidhu Is there a proper simple 360 to splat workflow yet, or is the process still breaking a spherical image into rectilinear/flat images to process?
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@Mr_Sunflower_ Nice! I like your style. Check out kozyndans bunny wave too. shop.kozyndan.com/products/upris…

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@Minttt876 @HuggingModels @grok Via Gemini:
VRAM Requirements (GPU) for the 4-bit quantized version (GPTQ-Int4)
• Model Weights: ~68–72 GB
KV Cache (Context): additional overhead for the "memory" of the conversation.
• Short context (8k tokens): ~75 GB VRAM.
• Full context (256k tokens): >100 GB+
@grok
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Meet Qwen3.5-122B: a massive 122-billion parameter vision-language model that understands both images AND text. This isn't just another chatbot. It's a multimodal powerhouse that can analyze pictures, read documents, and have conversations about what it sees. The community is buzzing because it's open-source and surprisingly accessible.

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@DarioWB1 @HuggingModels @grok Via Gemini:
VRAM Requirements (GPU) for the 4-bit quantized version (GPTQ-Int4)
• Model Weights: ~68–72 GB
KV Cache (Context): additional overhead for the "memory" of the conversation.
• Short context (8k tokens): ~75 GB VRAM.
• Full context (256k tokens): >100 GB+
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@HuggingModels Hey @grok , what are the minimum requirements to run this model at home? Please consider Mac and Pc in your answer.
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@HuggingModels Via Gemini:
VRAM Requirements (GPU) for the 4-bit quantized version (GPTQ-Int4)
• Model Weights: ~68–72 GB
KV Cache (Context): additional overhead for the "memory" of the conversation.
• Short context (8k tokens): ~75 GB VRAM.
• Full context (256k tokens): >100 GB+
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✚Dillon รีทวีตแล้ว
✚Dillon รีทวีตแล้ว
✚Dillon รีทวีตแล้ว
✚Dillon รีทวีตแล้ว

Someone made a modern magnetic core memory usb thumbdrive. Storage capacity 128 bytes.
Magnetic core memory is early random access memory tech from 1950s-1970s, this tech was in the Apollo Guidance Computer. It uses tiny ferrite rings (toroids) arranged in a grid, with wires threading through them to magnetize the cores clockwise or counterclockwise, representing binary 1 or 0.
A fundamental form of digital computer memory, but feels very analog.
dydt@dydt_Nao
部品一通り載せ終わった ちゃんとUSB-A端子ついてるしどう見てもUSBメモリやな
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✚Dillon รีทวีตแล้ว

Rubber: The video game
Environment: The tyre is upright on a sidewalk in a suburb
Character: You control a rubber tyre
Riley Goodside@goodside
Environment: “34th Street–Penn Station” Character: “Discarded pack of cigarettes” Genie 3:
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