quietanalyst

63 posts

quietanalyst

quietanalyst

@kaldrishti

انضم Temmuz 2019
45 يتبع11 المتابعون
quietanalyst
quietanalyst@kaldrishti·
@chetaslua make it do for the rayban or sunglasses too with inteactive it wil be fun to do
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quietanalyst أُعيد تغريده
Chetaslua
Chetaslua@chetaslua·
🚨 Kimi Cooked So Hard with this release This is one Shotted by Kimi k2.7 fast , math guys try kimi i think its better in math too now Fable was able to do this but kimi only took less than a min lol , i had early access to it
Kimi.ai@Kimi_Moonshot

🌘 Meet Kimi K2.7 Code HighSpeed! A high-speed mode of our latest open-source multimodal coding model, Kimi K2.7 Code. ⚡️ Up to 6× faster: Around 180 tok/s on coding tasks with median-length inputs, and up to 260 tok/s on shorter-context tasks. 🔷 Rolling out to Kimi Code Beta Program members, Kimi API developers, and Kimi Business users. (Access will remain limited for now due to capacity constraints.) 🔷 No invite needed. Anyone who joins the Beta Program has a chance to get access 👉 kimi.com/code/beta Open intelligence should be instant, affordable, and borderless. We'll continue improving the model and expanding access as more capacity becomes available! 🔗 Kimi Code: kimi.com/code 🔗 API: platform.kimi.ai

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quietanalyst أُعيد تغريده
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
Chetaslua tweet media
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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
Chetaslua tweet media
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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
Chetaslua tweet media
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
Chetaslua tweet media
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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