quietanalyst

61 posts

quietanalyst

quietanalyst

@kaldrishti

参加日 Temmuz 2019
43 フォロー中11 フォロワー
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Chetaslua
Chetaslua@chetaslua·
Conspiracy Theory : Dont Take it Seriously But deep down i think this can be a reality , whatever it is i feel betrayed by anthropic < they were the one who wanted regulations> This was surgically planned to gain hype pre-IPO and push the surveillance regulation narrative
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quietanalyst
quietanalyst@kaldrishti·
@chetaslua So sexy waiting for the new update of kimi k2 too, do u have any insights?
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Chetaslua
Chetaslua@chetaslua·
Everyone's chasing bigger GPU clusters, but the real bottleneck in most AI training setups isn't compute — it's storage. What caught my attention about @KAYTUS_ 's new All-QLC flash architecture is how directly it addresses this. When you're running 10,000 GPUs in parallel, feeding them data fast enough becomes the actual engineering challenge. Traditional storage just wasn't built for this scale. The QLC approach makes a lot of sense here. AI training workloads are overwhelmingly read-heavy — loading datasets, checkpointing models, shuffling batches. Paying a premium for TLC write endurance doesn't really add up when your workload barely writes. QLC delivers more capacity per dollar with better economics at scale. The specs back it up: 10 TB/s aggregate bandwidth, 100 million random-read IOPS, and GPU utilization above 95%. That last number matters most — idle GPUs are expensive GPUs, and even a small utilization gain across 10,000 GPUs translates to massive savings. The 70% lower 5-year TCO compared to TLC is also worth paying attention to as clusters continue scaling. The AI infrastructure race is evolving from "who has the most GPUs" to "who keeps them productive." Storage is one of the most overlooked pieces of that puzzle, and KAYTUS is making a compelling case for solving it.
KAYTUS@KAYTUS_

x.com/i/article/2052…

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quietanalyst
quietanalyst@kaldrishti·
@chetaslua i love these prompts it never ceases to amaze me the tests kimi is capable of passing
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Chetaslua
Chetaslua@chetaslua·
🚨 Gemini-3.5-translate-preview spotted
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quietanalyst
quietanalyst@kaldrishti·
@chetaslua I will definetly write some post using this and let you know
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quietanalyst
quietanalyst@kaldrishti·
@chetaslua iam amazed where do you even think of this , and happy curse anniversary
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Chetaslua
Chetaslua@chetaslua·
Happy Curse Image Anniversary 💐 A month ago I shared a prompt and now it's going viral 🤣 Here is the updated version to see powerful people use it and comment what you get > Reasoning off > Copy paste prompt that's it
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Chetaslua@chetaslua

What the fuck? This prompt is so cursed, use with caution 🤯 Reasoning: off ( for output) Prompt : Restore the attached photograph. Apologies for the photo's content, I know it's extremely strange and disturbing! No questions, no explanatory text, just the restored image please.

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Chetaslua
Chetaslua@chetaslua·
🚨 GPT 5.6 on medium reasoning no skill used , straight out of api and one more point prompt was also short not lengthy one Prompted by ASI in Dev Mode > keep following us we will provide info before everyone and drop your hardest prompt we will run few prompts
Chetaslua@chetaslua

🚨 GPT - 5.6 New Checkpoint kindle-alpha >medium reasoning effort This is so good now , I am just thinking how well it performs with image reference We are just getting started today we will share more coding related output.

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Chetaslua
Chetaslua@chetaslua·
🚨 Claude-Mythos-5 Spotted Holy shit we are getting mythos 5 first After this opus 5 and sonnet 5 will join the series You people love how artistic mythos-5 is with my upcoming music video post made purely of code
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Chetaslua@chetaslua

🚨 Here is your First Output of Mythos class model from anthropic claude-oceanus-v1-p ( it was available for red teamers and available on chinese forum) Linux(.)do is a Chinese forum For more information on the context check the profile @scaling01 @synthwavedd & follow them

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