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@LordEn0

cYbEr SeCurItY

انضم Nisan 2014
158 يتبع1.2K المتابعون
えの
えの@LordEn0·
Berjuta-juta token ku habiskan untuk model flash kalo buat ngotak pake yang pro
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えの
えの@LordEn0·
@ainunrozi Udah terjawab ya, kak. Setiap akun itu beda2 untuk dapat gratis chatgpt plusNya coba ganti ke negara kuwait. Kalo belum muncul tulisan offer claimNya ganti lagi ke negara lain. x.com/agngw_/status/…
azka ✦@agngw_

@LordEn0 Gak semua akun dapet meskipun pakai cara VPN juga, entah kenapa

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J@cheesechokey·
@LordEn0 Vpn jepangnya pake apa ya
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えの
えの@LordEn0·
@DewaTypo di halaman chatgpt scroll paling bawa itu ada tulisan negara tinggal ganti dari jepan ke indo nanti muncul paymen gopay
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R.a 6 Sigma
R.a 6 Sigma@DewaTypo·
@LordEn0 Gnti negaranya jadi negara indo gitu?
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Joko Mumet
Joko Mumet@JokoGobyos·
@LordEn0 pembayaran kenapa gini terus yaa kak
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Arizal
Arizal@Arizalsht·
@LordEn0 jokiin dong satu akun nanti ku byar
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えの
えの@LordEn0·
@dipkissed ya tinggal di-cancel aja sebelum tanggalNya
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dip
dip@dipkissed·
@LordEn0 ke begal ga nanti? tbtb back free wkwk
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えの أُعيد تغريده
Project Sekai CTF
Project Sekai CTF@ProjectSEKAIctf·
Did this work? CTF saving humanity
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Anthropic@AnthropicAI

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

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えの@LordEn0·
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えの أُعيد تغريده
Mathematica
Mathematica@mathemetica·
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えの أُعيد تغريده
The Math Flow
The Math Flow@TheMathFlow·
The Hidden Geometry of Trigonometric Functions and the Unit Circle.
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えの أُعيد تغريده
Grigory Sapunov
Grigory Sapunov@che_shr_cat·
1/ What if we treated LLM prompt engineering not as vibes, but as rigorous, validation-gated gradient descent? By formalizing natural language skills as trainable parameter states, we can systematically optimize LLM agents with zero inference-time overhead. 🧵
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机器之心 JIQIZHIXIN
机器之心 JIQIZHIXIN@jiqizhixin·
What if you could make AI language models smarter by reusing the same layers over and over? Researchers from KAIST, KRAFTON, and UC Berkeley present LoopMDM（Looped Diffusion Language Models）. They selectively loop early-middle transformer layers in masked diffusion models—no extra parameters, just smart recycling of computation. The result? LoopMDM matches standard models with 3.3x less training compute, then beats them on reasoning benchmarks like GSM8K by up to +8.5 points. It even outperforms deeper models trained with equal compute, and can scale performance at inference by looping more. Simplicity that punches above its weight.
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えの
えの@LordEn0·
@tangerinecut Perpanjangan claude bulanan aja enggk sampai yak wkwk
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maddie
maddie@tangerinecut·
@LordEn0 yakali anjir 200rb 😭
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えの
えの@LordEn0·
Bikin apps kayak gojek itu cuma 200k ygy
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¹
¹@AdiAudit·
@LordEn0 200 rebu dikata beli matcha premium
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اكتشف

@ainunrozi @cheesechokey @DewaTypo @JokoGobyos @Arizalsht @dipkissed @elonmusk @BarackObama