SpackySpacky

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SpackySpacky

SpackySpacky

@spactastical

Longterm investor with an interest in options swing trading and SPACs

参加日 Ocak 2021
950 フォロー中236 フォロワー
Kevin → Plant Daddy
Kevin → Plant Daddy@KevinEspiritu·
Growing zucchini vertically prevents pests & diseases better and allows you to grow a huge harvest in a small amount of space
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Ahmad
Ahmad@TheAhmadOsman·
Qwen 3.6 27B is still the release of 2026 for me despite everything else that has come out Pair it with a couple of RTX 3090s and you’re set even if they banned AI everywhere
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SpackySpacky
SpackySpacky@spactastical·
@DrJesseMorse Yes, but you do have the ability to critically think and the likelihood of that article will be true is probably zero including that picture of what is his cooked meal if you quote an article you still have to think about it
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Paul Saladino, MD
Paul Saladino, MD@paulsaladinomd·
Dryer sheets are toxic! Use this instead…
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Alex Finn
Alex Finn@AlexFinn·
Drop what you're doing. It happened. ChatGPT 5.5 is out and it beats Opus 4.7 in almost every benchmark It even beat Mythos in some benchmarks including Terminal-Bench 2.0 This is what you need to do immediately if you want to escape the permanent underclass: • Download the Codex desktop app and start using this model. Codex now has computer use so it can act as an agent • Upgrade your OpenClaw to ChatGPT 5.5. A lot of the team has been saying they have been building this model for OpenClaw (I will verify this soon) • Everything you do on your computer for the next 24 hours, describe it to ChatGPT 5.5 and ask how it can do the task better • It's by far best in class for knowledge work tasks. Every document, spreadsheet, presentation you create should go through 5.5 • Take a moment and be grateful you are alive during the greatest tech explosion in history When new tech drops, you have to take advantage of it. That's the only way to win Put your phone on Do Not Disturb and get to it
OpenAI@OpenAI

Introducing GPT-5.5 A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done. Now available in ChatGPT and Codex.

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Carnivore Aurelius ©🥩 ☀️🦙
if i had $100,000 to spend on my health, this is what I'd buy - home gym - sauna - air purifier - 1 full cow (turned into meat) - 1 full cow (alive) - 12 chickens - toto bidet - 100% stainless steel & ceramic kitchen - weekly massages - organic mattress - all incandescent lights - 100% natural fiber clothing - acupuncture & cupping - reverse osmosis filter - spring water in glass subscription you?
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SpackySpacky
SpackySpacky@spactastical·
@DodgysDD Bro how much you pay other accounts to start this rumor
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Ryan
Ryan@DodgysDD·
I am literally the ragebait king and no one can tell me otherwise I’m on France, Argentina, and Moscow news😭
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@jason
@jason@Jason·
We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added
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Ryan
Ryan@DodgysDD·
This guy on my cruise just got absolutely cooked daytrading fair value gaps😭
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SpackySpacky がリツイート
0xSero
0xSero@0xSero·
Locally Part 1 - Apple Silicon Macs give you large pools of memory to run big models, but the token generation speed will be lower than most are used to. Macs are best with large MoEs that have low ACTIVE params. Basically when you see a model like Qwen3.5-397B-A17B this means only 17B params of ~5% of the model is active per token, so it'll be very fast. The best 4 models for Mac people are: - Qwen3.5-{} - MiniMax-M2.7 - GLM-4.6V - Step-3.5-Flash There's 2 promising developments in the Mac world: 1. Heterogenous Inference: Mixing Nvidia GPUs in will theoretically boost inference by 2x 2. Proliferation of MTP: Multi-token-prediction helps models gain decode speed by having a smaller model trained to predict tokens very quickly. So the larger model only has to verify. 3. RDMA Tensor Parallelism: Now you can stack apple silicon to increase memory AND give a speed boost. --------- Consumer perspective: You can buy either Laptops, which go up to 128GB for 5-6k USD or 512GB for 10-12k USD It's not worth running inference on smaller than 64gb, it tends to be more of a disappointment than anything. You can update a rig like this in increments of 5-10k USD either adding some Nvidia to the mix or stacking more Macs. --------- My opinion: Some of the support is immature, there's lots to grow, but the best 20K USD you can spend would be: - Mac M3/5 Ultra - RTX Pro 6000 You can either work to test and contribute to improvements in heterogenous or use each for different models, and tinkering with the GPU itself. You get 600GB of memory, which can run basically every good open weight model between 10 tokens/s - 100 tokens/s decode 50 - 1000 tokens/s prefill This could be a viable business if you can sell the inference.
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Alfred 🏄🏻‍♀️🌊
BPC-157 SEALED the holes ibuprofen carves in your stomach. In 3 days. Your pharmacist sold you Advil for 20 years. Your gut is bleeding. Every pill punched microscopic holes in your stomach lining. Your body patched them with scar tissue that: → Leaks toxins into your blood every meal → Fires fatigue, brain fog, and joint pain​​​​​​​​​​​​​​​​ → Destroys the lining while you swallow another one You didn’t take the edge off. You drilled holes through your gut. They fed lab rats diclofenac. Same class as ibuprofen. One group got BPC-157. Stomach sealed. Liver cleaned. Brain inflammation reversed. The other group? Ulcers. Liver damage. Brain lesions. Same drug. One compound. NSAIDs put 100,000 Americans in the hospital every year. 16,500 die. You’re not taking ibuprofen. You’re bleeding internally on schedule. Everything you need below ↓
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Ben Kelly
Ben Kelly@benkellyone·
7 assets I'd buy before ever owning a stock: 1. Car wash 2. ATM route 3. Parking lot 4. Laundromat 5. Accounting firm 6. HVAC company 7. Pest control route Stocks are great, but I prefer to control the companies I invest in.
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