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@kodee2k

Katılım Ocak 2026
38 Takip Edilen22 Takipçiler
kodee
kodee@kodee2k·
pages upon pages of scribbled tensor math on my desk it looks like im schizophrenic
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Eric van de Beek 🇳🇱
@s_m_marandi @X @elonmusk The website terroralarm.org is hosted in The Netherlands. I'm a journalist from The Netherlands. I will give the provider a call on Monday, and I will contact the Dutch Prosecution Service @Het_OM about this organisation. x.com/receipts_lol/s…
Zionism Observer@receipts_lol

Thought I'd spend 5 minutes and analyze the website terroralarm dot org. 1/ The website is on shared hosting, with 73 other domains. The data center is in The Netherlands.

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Seyed Mohammad Marandi
Seyed Mohammad Marandi@s_m_marandi·
So, @X and @elonmusk refuse to remove this. Notice the 'paid partnership.' Elon Musk and his employees support terrorism, but no one should be surprised. After all, they support the slaughter of women and children across West Asia.
Seyed Mohammad Marandi tweet media
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kodee
kodee@kodee2k·
Behind @Terror_Alarm there is René Rønneberg Here is their donationstripe key; if anyone wants to report it: "pk_live_51NTVOCLC59IYadZ34AkundK6f6FvoAOFeIw7tl1tNHk6Z6gzKgWBliI387QxEN0F1GnefevcF8ym8L4kKENvZnCZ00fltuyin9" ownr.dk/users/public-p… lasso.dk/personer/40040…
Seyed Mohammad Marandi@s_m_marandi

Clearly, @ElonMusk and @X are allowing what appears to be a Zionist/Ukrainian group to put a bounty on me. It is even a "paid partnership." Not a single Western media outlet has shown outrage that X is openly supporting terror to permanently silence me. youtu.be/QwT1egTQdME?is…

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GenXGirl
GenXGirl@GenXGirl1994·
WHO IS BEHIND @Terror_Alarm? They posted a $1M bounty on X which is against TOS but @Safety hasn’t banned the acct. Why? Terror Alarm is based in Israel with ties to Ukraine. Until recently, their profile showed: - Israel location - Israel phone #972 - Job openings for Israelis
GenXGirl tweet mediaGenXGirl tweet media
GenXGirl@GenXGirl1994

TerrorAlarm.org is a “sort-of” AI Generated news feed that posts low-quality propaganda on Twitter (X) w/quite an interesting background👇🏼 IP Location:🇺🇦 Host Address: 04073 Ukraine, Kiev, Kravchenko 21🇺🇦 Server Name: shneider-host.ru🇷🇺 Server Owner: Fop Scneider Ievgen Oleksandrovich🇺🇦 Phone #/Bio location:🇮🇱 Analyst Location:🇮🇱 & EU

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Pierre L
Pierre L@pierrelezan·
@TheAhmadOsman @sudoingX Thank you 3 for bringing the local LLM community together. For many of us Pewd was the trigger, but you were already there, pushing local computing to the limit of what we can get at home, showing us it was possible at every hardware level. That's because of you, Thanks!
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Sudo su
Sudo su@sudoingX·
this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free. nvidia is a trillion dollar company with hundreds of teams but they are not the ones quantizing models middle of the night and pushing them out before sunrise. if nvidia stopped tomorrow their employees stop working. people like @0xSero would not. that is the difference between a paycheck and a mission. @NVIDIAAI you talk about making AI accessible. the people actually doing it are right here. 29 models deep burning their own compute with no ask except more hardware to keep going. you do not need to build another program. just look at who is already building for you. one GPU to this man would produce more public value than a hundred internal sprints. i am not asking for charity. i am asking you to invest in someone who already proved it.
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0xSero@0xSero

Putting out a wish to the universe. I need more compute, if I can get more I will make sure every machine from a small phone to a bootstrapped RTX 3090 node can run frontier intelligence fast with minimal intelligence loss. I have hit page 2 of huggingface, released 3 model family compressions and got GLM-4.7 on a MacBook huggingface.co/0xsero My beast just isn’t enough and I already spent 2k usd on renting GPUs on top of credits provided by Prime intellect and Hotaisle. ——— If you believe in what I do help me get this to Nvidia, maybe they will bless me with the pewter to keep making local AI more accessible 🙏

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kodee
kodee@kodee2k·
that warm feeling when your experimental architecture actually trains better then expected
kodee tweet media
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kodee
kodee@kodee2k·
@birdabo closed source: Claude open source: Qwen 3.5
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sui ☄️
sui ☄️@birdabo·
gun pointed at yo head, name the best LLM
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kodee
kodee@kodee2k·
> be cursor > steal users usage data > steal free model > train stolen model on stolen data > hope no one finds out > profit (?)
NIK@ns123abc

🚨NEWS: Cursor’s $50B “in-house model” is literally Kimi K2.5 with RL on top. Got caught in 24 hours >be Moonshot AI >spend hundreds of millions training Kimi K2.5 >1 trillion parameters, 15 trillion tokens, agent swarm architecture >beat GPT-5.2 and Opus 4.5 on real benchmarks >open-source it because you believe in the ecosystem >one condition: display “Kimi K2.5” if you make over $20M/month from it >Cursor takes the model >runs RL on coding tasks >ships it March 19 as “Composer 2” >blog post: “continued pretraining + scaled reinforcement learning” >zero mention of Kimi K2.5 >“our in-house models generate more code than almost any other LLMs in the world” >publishes benchmark chart >Composer 2 against Opus 4.6 and GPT-5.4 >uses the chart to justify raising at $50 billion! >less than 24 hours later >kimi dev intercepts the API response >model ID: kimi-k2p5-rl-0317-s515-fast >they didn’t even rename it >Moonshot head of pretraining runs tokenizer test >confirms: identical to Kimi’s tokenizer >publicly tags Cursor’s co-founder: “why aren’t you respecting our license?” >two more Moonshot employees post confirmations >all three posts deleted within hours >legal is now involved >but it gets worse >Cursor had Kimi K2.5 listed as a FREE model in their UI just weeks ago >users were openly using it >Feb 9: “K2.5 was in my model list. I updated and it vanished” >it vanished because Cursor pulled it from the picker, and relaunched it as their own model >Moonshot valuation: $4.3B >Cursor valuation: $50B Absolute state of Cursor.

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vx-underground
vx-underground@vxunderground·
yr_compiler_add_file DOESN'T ACCEPT WCHAR wE NeEd iT To WoRkl WiTh LiNux AnD maCoS Okay, I guess I'll call WideCharToMultiByte 9000 times to APPEASE YOU
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can
can@marmaduke091·
MiniMax M2.7 is out on web! Check it out here: agent.minimax.io
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kodee retweetledi
Beff (e/acc)
Beff (e/acc)@beffjezos·
When you realize we have entered the singularity and you are running out of time
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Mass
Mass@MemoryReboot_·
Bought my first rtx 3090 Ready to dive into this local LLM rabbit hole Shoutout for @sudoingX for this inspiration See you on the other side
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kodee
kodee@kodee2k·
@bridgemindai Im sorry but this model is not comparable to even Sonnet 3.5. In my reasoning benchmarks even GPT 5.4 nano packs it
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BridgeMind
BridgeMind@bridgemindai·
MiniMax M2.7 pricing on OpenRouter: $0.30/M input $1.20/M output 204,800 context window Claude Opus 4.6 is $15/M input. $75/M output. GPT 5.4 isn't cheap either. M2.7 is 50x cheaper than Opus on input and competing on Multi-SWE Bench and VIBE-Pro. If this model performs anywhere close to its benchmarks in real coding workflows, the cost per task math changes for every agentic coding stack.
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kodee
kodee@kodee2k·
@XCSme @marmaduke091 It was and its really bad. It is book smart for very specific tasks but for actual reasoning its pretty bad in my benchmarks it gets smoked by even GPT 5.4 nano
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Cristian
Cristian@XCSme·
@marmaduke091 If that was hunter alpha, there's nothing to get excited about. Does it still nedlessly burn reasoning tokens like m2.5?
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kodee
kodee@kodee2k·
minimax 2.7 is book smart but absolutely retarded when it needs to actually reason. in my deep reasoning benchmark GPT 5.4-nano beats it 73/100 times
JB@JasonBotterill

Lmao what the fuck

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coah
coah@coah80·
might make the switch to linux this year ngl... what do i use - mint sucks - pop os sucks - nobara is okay - dank linux is lowkey a contender 😭 - cachy i like - nix maybe
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kodee
kodee@kodee2k·
GPT 5.4 nano can produce incredibly detailed and high reasoning output if prompted right. Im starting to believe nano, mini, etc is all the same base model with a different limiter in the system prompt.
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