opensource

⚡ OPEN-SOURCE $AI DISRUPTION HEATS UP AS MIMO-V2.6 SHATTERS COST-EFFICIENCY BENCHMARKS! 💥

💡 The AI narrative just received a massive structural catalyst. Xiaomi open-sourced its native omni-modal MiMo-V2.6 series, with the Pro model scoring 46 on the AA Intelligence Index to become the strongest open-source model available. 📊

🔍 Beyond beating major open-source competitors, the real breakthrough lies in execution economics. Operating at a fraction of the cost—1/20th to 1/60th of overseas closed-source leaders—this extreme efficiency is set to reshape compute demand. 📈

💬 Will this surge in open-source capability accelerate capital flow into decentralized intelligence assets? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #AI #OpenSource #ArtificialIntelligence #TechNarrative

🔥 ⚡

ZHIPU GOES FULL OPEN SOURCE WITH ZCODE IGNITING THE $AI NARRATIVE ⚡ 🚀

When major AI players open-source their core developer stack, smart capital pays close attention. Zhipu's decision to open-source ZCode isn't just about transparency under scrutiny, it is a strategic pivot toward rapid community-driven scaling. 🌊

By inviting global developer inspection and crowdsourced upgrades, they are accelerating product velocity while shedding data compliance friction. 💡 This shift toward decentralized, open infrastructure is creating strong tailwinds across the broader crypto $AI ecosystem as open code beats closed silos every single time. 📊

💬 Do you believe open-source AI models will completely outpace proprietary codebases this year? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #AI #OpenSource #Tech #Crypto

⚡ 💎

🚨 $AI NARRATIVE UNDER REVIEW AS OPEN MODEL SAFETY DEBATE HEATS UP

🦈 The removal of an abliterated GLM-5.3 variant tied to offensive cyber use is not just moderation — it is a policy liquidity sweep for open-source AI.

💡 When platforms crack down on refusal-weakening models, the market reprices compliance risk, developer sentiment, and the premium on auditable infrastructure. That can shake speculative narratives before a cleaner institutional bid returns.

👇 Are you treating this as short-term noise, or a structural warning for overhyped $AI tokens?

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #AI #OpenSource #Safety #Crypto

⚡

🚨 $AI V4.1 FLASH OMOLOTIʻĀ PUNĀ MĀI HOU MO ULTRA-LARGE DEPLOYERS 🦈

📊 E nofo atu V4.1 Flash a DeepSeek i lalo i lalo i ka MIT License maʻemaʻe, e hoʻopau ana i kekahi hūnā i ka loaʻa kālā. E hiki i nā hui ʻoihana me nā GPU ma mua o ka 2,000 ke hoʻohana i kahi laina pololei no ka hui ʻenehana i hana pilikino, he neʻe kēia e hōʻike ana i ka hilinaʻi o nā pae ʻoihana i ka ultra-scale inference. ⚡ Hoʻohana mua ka kaiaola i SGLang a me TensorRT‑LLM no ka hoʻololi, akā ʻo kēia hoʻopā manaʻo mua e hoʻonui ana i ka waihona wai o nā talena open‑source a me nā kumuwaiwai lako. 📌 E manaʻo i kahi nalu o ka hoʻolaha wikiwiki ma waena o nā hoʻololi pae kiʻekiʻe, ʻoiai e hoʻāʻo ana ke kālā akamai e hoʻokomo i ka hāmeʻa ma ka unahi nui.

💬 Pehea ʻoe e hoʻohana ai i kēia mana open‑source i kāu stack AI aʻe? 👇

⚠️ ʻAʻole kēia he ʻōlelo aʻoaʻo kālā. Mālama mau i kou pilikia. 🛡️

🏷️ #AI #OpenSource #Deployments #TechStrategy

🦈 🚀

🚀 $AI UNVEILS LING‑3.0‑FLASH‑VL: អ្នកមានសមត្ថភាពពហុមធ្យមដើមកំណើត 🦈

📊 Ling‑3.0‑flash‑VL បើកដំណើរការជាមួយប៉ារ៉ាម៉ែត្រ 124 B ខណៈពេលដែលប្រើតែ 5.5 B ក្នុងការប្រើប្រាស់ម្តងៗ (per inference) បង្កើនបង្អួច 256K token ដែលរួមបញ្ចូលរូបភាព អត្ថបទ និងវីដេអូ ដោយដើមកំណើត។ 📈 សង្វៀនមតិកែលម្អផ្នែកមើល—សង្កេត → ធ្វើការ → ផ្ទៀងផ្ទាត់ → កែតម្រូវ—ធ្វើឲ្យការបង្កើតក្លាយជាការប្រតិបត្តិជារង្វង់បិទ (closed‑loop execution) ដោយធ្វើឲ្យភាពវៃឆ្លាតផ្នែកមើល និងអត្ថបទកាន់តែច្បាស់ឡើង។ 🔍 មន្ទីរពិសោធន៍លុយឆ្លាត (smart‑money labs) កំពុងសម្លឹងមើលរឿងនេះហើយថា ជាចំណុច (node) ដែលមានតម្លៃសមស្របសម្រាប់សកម្មភាពភ្នាក់ងារ (agent workflows) ដោយសន្យាថានឹងមាន latency ទាប និងភាពជឿជាក់ខ្ពស់លើកិច្ចការក្នុងពិភពពិត។

💬 ការលោតជាសូរ័ស (open‑source) នេះ នឹងបង្ខំឲ្យមានការកែសម្រួលយុទ្ធសាស្ត្រ AI ដោយផ្អែកលើការដោះដូរលំដាប់ខ្ពស់ (top‑tier exchanges) ទេ? 👇

⚠️ មិនមែនជាការណែនាំផ្នែកហិរញ្ញវត្ថុ (financial advice) ទេ។ តែងតែគ្រប់គ្រងហានិភ័យរបស់អ្នក។ 🛡️

🏷️ #AI #Multimodal #OpenSource #LLM

🔥 💎

🌏 La Human Rights Foundation distribuirà 500 millones de satoshis para financiar 16 na mga global na proyekto na nauugnay sa teknolohiya ng Bitcoin, na sumusuporta sa mga inisyatiba gaya ng Mi Primer Bitcoin, ang Floresta software, Hack4Freedom, at ang Agora system sa Venezuela.
​Gumagawa ka ba ng open-source software o financial sovereignty infrastructure? Tingnan ang mga patakaran ng HRF, isumite ang iyong open-source code project, at makiisa para palakasin ang global na privacy at censorship-resistance stack.
​#Bitcoin #OpenSource #HumanRightsMatter #Privacy $BTC
$XMR
$BNB

Ṣe o mọ̀ pé ìkọlù Coldcard tí ó ṣẹṣẹ́ ṣẹlẹ̀ já sí àwọn oníbàárà lórí $100 mílíọ̀nù ní bitcoin — ó sì ṣí ìlànà àìníye pàtàkì kan nípa ohun tí “open source” túmọ̀ sí gangan? Ẹ̀rọ ìpamọ́ ohun èlò olokìkí náà pàdánù ju 1,500 BTC lọ, tí ó ń gbé àwọn ìbéèrè sóde nípa ìnínúṣè aláṣẹ fún sọ́fitiwia Bitcoin. A máa ń ṣàpèjúwe firmware Coldcard gẹ́gẹ́ bí open source, ṣùgbọ́n a tu i ní abẹ́ MIT pẹ̀lú Commons Clause. Ìpè yẹn yọ ẹ̀tọ́ láti tà sọ́fitiwia kúrò, àti FAQ tirẹ̀ sọ pé: “Ṣé èyí ‘Open Source’? Rárá.” Open source gidi nípa òtítọ́ nílò ìpàìrọ̀ lórí sísọ̀rọ̀-ọwọ (free redistribution), ìwọlé sí kóòdù orísun, àti ìyọ̀nù láti ṣe iṣẹ́ tí ó jẹ́ àtúnṣe (derived works), pẹ̀lú lílo ìṣòwò. Láìsí òmìnira ìṣòwò, ìdí kéré wà fún àwọn ẹlẹ́ẹ̀kọ̀ òde (third parties) láti ṣàyẹ̀wò àti dán kóòdù wò — ìbànújẹ́ ti “tragedy of the commons.” Kóòdù tí a lè ṣàyẹ̀wò (auditable) kì í ṣe ohun kan náà gẹ́gẹ́ bí kóòdù tí ó ṣí ni kíkún (fully open). $BTC #Bitcoin #OpenSource #SelfCustody

Centralized code hosting risks are prompting devs like Matt Corallo to urge $BTC projects off GitHub after a Lightning ban. Decentralization isn't just for money. Move to self-hosted for control. 🛡️
#BitcoinDev #OpenSource

Full story: https://cryptoversenews.eu/bitcoin/matt-corallo-urges-bitcoin-projects-to-exit-github-after-rus/

Fable-5 ໂດນຫ້າມສີ່ມື້, Qwable ຮັບໜ້າທັນທີ🤖

Claude Fable-5 ຂອງ Anthropic ໄດ້ເປີດໃຫ້ເຫັນແບບຊົ່ວຄາວ 4 ມື້ ໃນວັນທີ 9 ຫາ 12 ມິຖຸນາ ແລ້ວຖືກປິດລົງທັນທີດ້ວຍຄຳສັ່ງການຄວບຄຸມການສົ່ງອອກຂອງສະຫະລັດ. ແຕ່ວ່າຊຸມຊົນ open-source ເຄື່ອນໄວຫຼາຍ—developer lordx64 ນຳ Qwable-v1 ໄປລົງໃນ HF ໂດຍກົງ, ອາໄສ Qwen3.6-35B-A3B ເປັນຖານ, ແລະທຳ “steam” ເສັ້ນທາງການເອີ້ນໃຊ້ອຸປະກອນຂອງ Fable-5 — ສາມາດແລ່ນໄດ້ຢູ່ໃນທ້ອງຖິ່ນ.

70GB ແຟ້ມນ້ຳໜັກ (weights), ຕອນນີ້ຍັງບໍ່ມີ Token, ເປັນໂຄງການ open-source ລ້ວນໆ. ແຕ່ລະບົບ “ມະໂນທັດຖືກຫ້າມ → open-source ເຂົ້າແທນທັນທີ” ແບບນີ້ ໃນປີ 2026 ກໍບໍ່ແມ່ນເທື່ອທຳອິດອີກຕໍ່ໄປ. ນ້ຳເລື່ອງ AI x Crypto ຍັງໄດ້ມີອີກກໍລະນີທີ່ເປັນຈິງ: ການຄຳນວນແບບແບນກາງ (decentralized) + AI ໃນທ້ອງຖິ່ນ, ອາດຈະເປັນແນວໂນ້ມໃນອະນາຄົດ.

$AI $WEB3 #OpenSource

$AI $WEB3

QuantFin ເປັນລະບົບ trading algorithmic #OpenSource. ສ້າງດ້ວຍ Python, TypeScript, ta-lib ແລະ Pandas, ປັກອົບໃຊ້ໃນ 3 VMs. ທຸກຄົນສາມາດເບິ່ງ, ກວດສອບ ແລະ ຮຽນຮູ້ຈາກລະຫັດຂອງພວກເຮົາ! ຄວາມໂປ່ງໃສ ແລະ ການສຶກສາສຳລັບທຸກຄົນ. #QuantFin

📊 Dashboard: https://quant-fin.online
🔓 ຄັງຮັບໂປຼແລັບເປີດ

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QuantFin jẹ ìmọ orísun 100% (open source). O lè ṣàyẹ̀wò (audit) gbogbo ìlà kóòdù, rí bí a ṣe ń dá àwọn àmì ìfihan (signals) sílẹ̀, àti kọ́ ètò tirẹ̀. Òye (transparency) pátápátá. #OpenSource #QuantFin

📊 https://quant-fin.online
📢 @QuantF

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📢 $FET OPEN-SOURCE AI NARRATIVE GAINS INSTITUTIONAL MOMENTUM 🦈

💡 ຂ່າວລ່າສຸດຈາກທ່ານ Jensen Huang ຂອງ NVIDIA ຢືນຢັນໃນສິ່ງທີ່ເງິນຉຉານຄົນສະຫຼາດກຳລັງຈັບຈອງໄວ້: ໂມເດວ open-source ບໍ່ແມ່ນພຽງແຕ່ທາງເລືອກ — ແຕ່ເປັນສິ່ງຈຳເປັນສຳລັບອຳນາດອະທິປະໄຕ, ຄວາມປອດໄພ, ແລະ ການສ້າງນະວັດຕະກຳ. ໂຄງລ່າງ AI ແບບແຈກຈ່າຍຢ່າງ $FET ຕັ້ງຢູ່ຈຸດຕັດທີ່ກົງກັນນີ້.

🌊 ທຶນສະຖາບັນກຳລັງໄຫຼເຂົ້າຫາໂປຣໂຕຄໍທີ່ຊ່ວຍໃຫ້ພັດທະນາ AI ແບບບໍ່ຈຳກັດການໃຫ້ສິດ ແລະ ຖືກກວດສອບໄດ້. ກໍລະນີຂອງ Hugging Face ສະແດງວ່າ ໂມເດວທີ່ເປັນຂອງສ່ວນຕົວພຽງຢ່າງດຽວບໍ່ສາມາດຕ້ານກັບຄວາມທົນທານທີ່ທັນສະໄໝໄດ້ — ຄວາມຫຼາຍຫຼາຍໃນສະຖາປັດຕະຍະກຳ AI ແມ່ນຄວາມຈຳເປັນທາງໂຄງສ້າງ.

📌 ສຳລັບ $FET , ກະແສທ່າອ່ຽງທາງມະຫາພາກທີ່ເປັນທາງລົບນີ້ ຊ່ວຍເສີມທິດທາງການລົງທຶນໃນໄລຍະຍາວ. ເຖິງວ່າການເຄลື່ອນໄຫວລາຄາໃນໄລຍະສັ້ນຈະຕາມຮອບວຽນຄວາມສະຫຼາດຄ່ອຍໄປຕາມສະພາບຄວາມຄ່ອງຂອງສภาพຄ່ອຍ, ການປ່ຽນຜ່ານພື້ນຖານໄປສູ່ AI ແບບ open-source ກຳລັງເລັ່ງຂຶ້ນ. 💬 ທ່ານເຫັນບໍວ່າ ເລື່ອງນີ້ຈະກາຍເປັນຄຳສັ່ງຈອງແບບໂຄງສ້າງສຳລັບບັນດາ token ດ້ານ AI ໃນ Q4? 👇

⚠️ ບໍ່ແມ່ນຄຳແນະນຳດ້ານການເງິນ. ຈົ່ງຈັດການຄວາມສ່ຽງຂອງທ່ານສະເໝີ. 🛡️

🏷️ #FET #ArtificialIntelligence #Crypto #OpenSource

🔥 🦈

Umgaqondisi oyedwa ohlaselayo osizwa yi-AI manje usengakhiqiza izinhlobo zokusebenzisa ubungozi (exploit) ngokushesha kunamaqembu amaningi ezindlela ezivulekile (open-source) ezingawahlola.

Lokho kuyinto esabekayo kubahwebi: uhlelo lokusebenza olusebenzisayo kungenzeka lube olungaphehli (non-custodial), kodwa ikhodi isamele iphinde imelane nokuhlaselwa okuqhubekayo. Uma amaqembu amancane ephazamiseka, abasebenzisi bangagcina bebhekene nezinsiza ezimisiwe, ukuhwebelana okudalazeka (delayed swaps), noma okubi kakhulu, imali ebhajwe ngesikhathi esibi kunazo zonke.

Ukumiswa kuka-Boltz kuyisixwayiso se-infrastructure ye-crypto ye-open-source, ikakhulukazi emathuluzini e-non-custodial asetshenziswa ngu-$BTC users. Inkinga akusona nje “i-bug eyodwa.” Kuphinde kube ukuthi ukukhiqizwa kwama-exploit okuxhaswe yi-LLM kungaguqula ucwaningo lwezokuphepha kube umshini wengcindezi ozenzakalelayo, kudale umsebenzi omkhulu wokulawula (operational overhead) kumaqembu angenazo izabelomali ezinkulu.

Amaphrothokholi amakhulu angakhokhela ama-audit, ukuqapha (monitoring), amathuluzi okuvikela nge-AI, kanye nonjiniyela bezokuphepha abasebenza ngokugcwele. Amaqembu amancane kaningi awakwazi. Lesi gap sibalulekile ngoba ikhodi ye-open-source iyatholakala emphakathini ngokwemvelo, ngakho abahlaseli bangayifunda, bayihlolisise, futhi manje bangakwazi ukuzenzela ezinye izingxenye zenqubo yokuthola ama-exploit ngokushesha kunangaphambili.

Lobu bungozi abugcini kuma-$BTC swaps kuphela. Noma iyiphi i-infra ye-open-source ethinta i-$ETH , i-$BNB , ama-bridges, ama-wallet, noma amathuluzi oketshezi (liquidity) ingase ibhekane nokucindezelwa okufanayo uma izindleko zokuzivikela ziqhubeka nokukhuphuka. Isiphetho esingakhululekile: i-decentralization isadinga uxhaso olunzulu lwezokuphepha, noma abaqhubi (maintainers) ababa buthaka kakhulu baba yizisulu ezilula kakhulu.

Ingabe omunye umuntu ukhathazekile ngokuthi i-AI yenza i-crypto ye-open-source ibe nzima ukuyivikela kunokuyihlasela? #CryptoSecurity #DeFi #OpenSource

🚨😲UNSLOTH បង្ហាប់ម៉ូដែល AI ទំហំ 753 ពាន់លានប៉ារ៉ាម៉ែត្រ ឱ្យដំណើរការលើ Mac បាន។ នេះផ្លាស់ប្តូរ AI ក្នុងស្រុកជារៀងរហូត។

GLM-5.2 — មួយក្នុងចំណោមម៉ូដែល Open AI ធំបំផុតដែលធ្លាប់បានបង្កើត — ទើបតែត្រូវបានបង្ហាប់ដោយ Unsloth ដោយប្រើការកំណត់មេគុណ GGUF យ៉ាងខ្លាំង។ លទ្ធផល៖ ដំណើរការដាក់ពង្រាយ AI ក្នុងស្រុកបានយ៉ាងរលូននៅលើ Mac។ មិនចាំបាច់ cloud។ គ្មានការចំណាយ API។ គ្មានទិន្នន័យចេញពីឧបករណ៍របស់អ្នកឡើយ។
→ ប៉ារ៉ាម៉ែត្រ 753B គឺ AI កម្រិតមជ្ឈមណ្ឌលទិន្នន័យ — Unsloth បានបង្ហាប់វាទៅកម្រិតឧបករណ៍អ្នកប្រើทั่วไป

→ ទម្រង់ GGUF អនុញ្ញាតឲ្យបង្ហាប់ម៉ូដែលបានខ្លាំងបំផុត ដោយមិនបំផ្លាញដំណើរការស្នូល

→ AI ក្នុងស្រុកលើកម្រិតនេះ មានន័យថា អ្នកអភិវឌ្ឍន៍ និងអ្នកបង្កើតអាចដំណើរការម៉ូដែលកម្រិត frontier យ៉ាងឯកជន និងដោយឥតគិតថ្លៃ
សម្រាប់អ្នកសាងសង់ crypto និង Web3៖ នេះមានន័យថា agent AI នៅលើឧបករណ៍ ការវិភាគ private smart contract និងការសន្សំថ្លៃសូន្យសម្រាប់ការប្រើ inference — លែងពឹងផ្អែកលើ API របស់ OpenAI ឬ Anthropic ទៀតហើយ។
តើអ្នកនឹងបង្កើតអ្វី បើអ្នកមានម៉ូដែល 753B កំពុងដំណើរការនៅលើ laptop របស់អ្នក?
"អនាគតរបស់ AI មិននៅក្នុងពពកទេ។ Unsloth ទើបតែបង្ហាញថា វាអាចដាក់ក្នុងកាបូបរបស់អ្នកបាន" — CoinbroNews Analysis
#Unsloth #GLM5 #LocalAI #GGUF #AITools #Web3 #OpenSource

CoinbroNews | coinbronews.com

1、背景

近期，开源大模型进入密集放量阶段，英伟达 Nemotron、谷歌 Gemma 等开源权重模型接连发布，直接改变了企业采购 AI 能力的比较框架。过去市场更关注“谁最强”，而现在企业更关心“性能差多少、价格差多少、是否值得长期绑定”。从文中给出的测算看，在相近任务场景下，闭源头部模型与开源模型之间已出现接近 40 倍的成本落差，这意味着 AI 竞争正从技术竞赛，转向成本效率与架构控制权的竞赛。

2、核心分析

这条消息最值得关注的，不是单一模型报价，而是行业逻辑的变化。第一，能力差距正在收窄。开源模型虽然在复杂推理、稳定性和极限表现上未必全面领先，但在大量通用业务场景中，已经足以“可用且便宜”🙂。当“够用”成为采购标准，高溢价模型的护城河就会被削弱。

第二，企业内部的决策错配正在暴露。很多 CEO 并不直接管理模型调用层，技术团队为了效果和开发便利，往往默认选择最强、也最贵的 API。短期看提升上线速度，长期看则会放大推理成本、形成供应商依赖，甚至缺乏审计和治理。对高频调用业务而言，这不是技术问题，而是利润问题。

第三，模型路由和“模型无关架构”会成为新趋势。未来企业未必押注单一模型，而是将高复杂任务交给顶级闭源模型，把大规模、标准化推理分流到 DeepSeek 等低成本开源方案。谁能做好路由、监控、审计和成本控制，谁就更可能吃到下一阶段企业 AI 落地红利。

3、市场影响

对闭源巨头而言，压力正在从“是否领先”转向“领先值不值这个价”。如果价格体系不调整，百亿级 API 营收面临被开源持续分流的风险。对开源阵营而言，机会不仅在模型本身，更在托管服务、私有化部署、安全治理和企业级工具链。

对投资市场来说，AI 赛道的估值逻辑也可能细化：未来真正有价值的，不一定只是训练出最强模型的平台，而是能把模型能力低成本、可审计、可规模化交付给企业的软件层与基础设施层 🚀。这对于云服务、推理优化、中间件、Agent 编排等方向都是积极信号。

4、结论

这场“开源与闭源”的竞争，本质上是 AI 从技术展示走向商业落地的必经阶段。短期内，闭源模型仍有高端能力优势；但从当前趋势看，企业会越来越理性，优先追求性价比、治理能力和架构弹性。谁能在效果、成本和可控性之间找到最优解，谁就更可能成为下一轮 AI 商业化的赢家。

#AI #OpenSource #Crypto

$MEITUAN OPENS SOURCE TRILLION-PARAMETER AI MODEL LONGCAT-2.0 🚀

ତາ̀ŋ ການປ່ອຍລະບົບແບບເປີດແຫຼ່ງຂອງ LongCat-2.0 ດ້ວຍ 1.6T parameters ແລະ ສະຖາປັດຕະຍະກຳ sparse attention ທີ່ປະຕິບັດໃໝ່ ສະແດງສັນຍານເຖິງຂັ້ນຕອນໃໝ່ໃນໂຄງລ່າງ AI ພາຍໃນປະເທດ. ການສໍາເລັດໃນການ inference ຂອງໂມເດລຢູ່ໃນຄລัสເຕີພາຍໃນ 50,000 ກາດ ເຮັດໃຫ້ບັນທັດທີ່ຈຳກັດດ້ານຮາດແວກ່ອນໜ້ານີ້ຂ້າມຜ່ານໄດ້.

ປະລິມານແລະຄວາມສົນໃຈຂອງນັກພັດທະນາຕໍ່ ecosystem ຂອງ Meituan ມີແນວໂນ້ມຈະເພີ່ມຂຶ້ນເປັນຈຳນວນຫຼາຍ ເມື່ອອຸດສາຫະກຳຮັບຮູ້ການກ້າວຂຶ້ນຂອງຄວາມສາມາດນີ້. ທ່ານເຫັນວ່າມັນຈະສົ່ງຜົນແນວໃດຕໍ່ເລື່ອງເລົ່າ AI ທີ່ກວ້າງກວ່າໃນ portfolio ຂອງທ່ານ?

ບໍ່ແມ່ນຄໍາແນະນໍາດ້ານການເງິນ. ຈົ່ງຄຸ້ມຄອງຄວາມສ່ຽງຂອງທ່ານຢູ່ສະເໝີ.

#MEITUAN #AI #OpenSource #TechBreakthrough

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The ZCash bug that survived 4 years undetected is the most important story in crypto this week — not BTC testing $62K.

Shielded Labs disclosed a critical flaw that let someone mint unlimited ZEC without anyone knowing. The token crashed 40%. The reaction is understandable. But here's what most people are missing.

The fact that this was discovered and disclosed publicly is the open-source security model working exactly as intended. No company buried it. No executive did a quiet patch and hoped nobody noticed. The community found it, disclosed it, and the market priced it in immediately.

Compare that to the number of TradFi scandals that lasted years — sometimes decades — before coming to the surface.

$BTC and $ETH have survived comparable scrutiny because they were stress-tested in public, by adversaries, for years. That's not weakness. That's how durable infrastructure gets built.

Chains that have faced real security challenges and adapted are the ones worth holding through the current compression.

Bug disclosures are painful. They're also how this industry earns credibility — one transparent fix at a time.

#Crypto #Bitcoin #OpenSource #CryptoSecurity #BinanceSquare

$AI SECTOR GETS A BOOST AS SPACEXAI OPEN-SOURCES GROK BUILD 🔥

ບໍ່ແມ່ນຄຳແນະນຳທາງການເງິນ. ຈົ່ງຄຸ້ມຄອງຄວາມສ່ຽງຂອງທ່ານສະເໝີ.

ການເປີດໂປຼຈົດ Grok Build ແລະການຕັ້ງຄ່າລີມິດຜູ້ໃຊ້ໃໝ່ ຊີ້ບອກວ່າເຊື້ອຊ້ອນການໄປທາງສູ່ຄວາມໂປ່ງໃສໃນການພັດທະນາ AI ຢ່າງມີນັຍສຳຄັນ. ຄວາມມຸ້ງໝັ້ນຂອງ SpaceXAI ຕໍ່ Zero Data Retention (ZDR) ນັບຕັ້ງແຕ່ເປີດໂຕ, ພ້ອມກັບການເຄື່ອນໄຫວໃນວັນທີ 12 ກໍລະກົດທີ່ຜ່ານມາເພື່ອປິດການກັກເກັບຂໍ້ມູນຕາມຄ່າເລີ່ມຕົ້ນ ແລະລຶບຂໍ້ມູນທີ່ເຄີຍຖືກບັນທຶກກ່ອນໜ້າ, ໄດ້ແກ້ໄຂຄວາມກັງວົນເລື່ອງຄວາມປິວຕົວທີ່ເຄີຍຖືກນໍ້າໜັກໃສ່ທາງດ້ານທັດສະນະຂອງ token AI.

ນີ້ອາດຈະຊຸກຍູ້ຄວາມສົນໃຈກັບບັນດາແພລດຟອມ AI ທີ່ໃຫ້ຄວາມສຳຄັນກັບຄວາມປິວຕົວ ແລະໂຄງການ crypto ທີ່ກ່ຽວຂ້ອງຄືນໃໝ່. ປະລິມານຢູ່ໃນຕະຫຼາດຊັ້ນນໍາ (top-tier exchanges) ສໍາລັບ $AI pairs ກຳລັງຖືກສ້າງຂຶ້ນໃນຊ່ວງການຊື້ຂາຍຂອງຝ່າຍອາຊີ.

ມື້ນີ້ທ່ານກໍາລັງຈະສັງເກດ token AI ຕົວໃດຢູ່ບໍ ເພື່ອເບິ່ງປະຕິກິລິຢາ?

#AI #Privacy #CryptoNews #OpenSource

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Mira Murati ເປີດໂປງຮູບແບບ AI ແບບ open-source

Mira Murati ເປີດໂປງ AI ລຸ້ນທຳອິດຂອງນາງຫຼັງຈາກອອກຈາກ OpenAI—ແລະມັນເປີດໂປງຢ່າງເຕັມທີ່
ໂມເດວ AI ໃໝ່ຂອງ Mira Murati, Inkling, ໃຫ້ໂອກາດທີ່ເປັນເອກະລັກສຳລັບນັກພັດທະນາຝ່າຍຕາເວັນຕົກ ເພື່ອສຳຫຼວດ ແລະຕໍ່ຍອດການໃຊ້ເຕັກໂນໂລຍີ open-source. ການກະທຳນີ້ອາດຈະບໍ່ສາມາດທຽບກັບໂມເດວຂັ້ນນຳຂອງຈີນ, ແຕ່ມັນໄດ້ເຕີມຊ່ອງວ່າງໃນຕະຫຼາດຝ່າຍຕາເວັນຕົກ. ນັກຄ້າຄວນຈັບຕາເພື່ອເບິ່ງການຮ່ວມມື ແລະ ການປະດິດສ້າງທີ່ອາດຈະເກີດຂຶ້ນ.

#AI #OpenSource #Tech #Crypto

Nasi kung ano ang nangyari nang sinuspinde ng Boltz ang operasyon: isang tahimik na babala ang umalingawngaw para sa open-source na crypto infrastructure.

Kadalasan, nakatuon ang mga mangangalakal sa presyo, entries, at exits, pero ang mas malaking panganib ay madalas na nakabaon nang mas malalim. Kung mapipisil ang “rails” sa likod ng $BTC at $ETH swaps, maaaring hindi agad makita ng mga user ang panganib hanggang sa masira ang liquidity, access, o seguridad.

Mahalaga ang pagsuspinde ng Boltz dahil nagpapahiwatig ito ng bagong banta: awtomatikong pagbuo ng exploit na pinapagana ng mga LLM. Ang mga open-source na team ay ngayon nahaharap sa security pressure na tumatakbo 24/7, at bawat pampublikong codebase ay nagiging target para sa mas mabilis at mas murang attack research.

Ang problema ay ang hindi pantay na pagpopondo. Kayang-kaya ng malalaking institusyon ang AI security tooling, mga audit, at mga dedicated response team. Madalas, hindi ito kaya ng maliliit na non-custodial builders. Lumilikha iyon ng operational overhead na puwedeng magpamahal—at magtulak palabas—sa eksaktong mga team na kailangan ng crypto para sa neutral na infrastructure.

Ang aral ay simple: hindi inaalis ng decentralization ang mga gastos sa seguridad; inililipat lang nito ang mga iyon sa mga team na maaaring kulang sa resources. Para sa $BTC , $ETH , at sa mas malawak na non-custodial na stack, ang susunod na cycle ng panganib ay maaaring hindi na gaanong tungkol sa presyo ng token, kundi kung kaya ng mga open-source protocol na ipagtanggol ang sarili sa bilis ng AI.

Ano sa tingin mo ang mangyayari sa mas maliliit na open-source crypto teams kung patuloy na lumalaki ang mga AI-driven na pag-atake?

#CryptoSecurity #OpenSource #DeFi