opensource

🚨 $AI V4.1 අල්ට්‍රා-විශාල යෙදවීම් කරන්නන් සඳහා විප්ලවීය විවෘත-මූලාශ්‍ර ප්‍රගතිය 🦈

📊 DeepSeek හි V4.1 Flash එක පිරිසිදු MIT බලපත්‍රයක් යටතේම පවතින අතර, ආදායම් මත පදනම් වූ ඕනෑම ද්විරෝධ (gatekeeping) තහනම ඉවත් කරයි. 2,000+ GPU ප්‍රදර්ශනය කරන ආයතන දැන් විශේෂ තාක්ෂණික සහයෝගීතාව සඳහා සෘජු සම්බන්ධක මාර්ගයකට පිවිසිය හැක—මෙය අති-පරිමාණ (ultra-scale) inference සඳහා ආයතනික මට්ටමේ විශ්වාසය දැක්වෙන පියවරකි. ⚡ පරිසර පද්ධතිය දැනටමත් SGLang සහ TensorRT‑LLM මත අනුවර්තනය සඳහා රඳා පවතින අතර, මෙම ප්‍රතිචාරාත්මක සම්බන්ධතාව විවෘත-මූලාශ්‍ර දක්ෂතාව හා දෘඩාංග සම්පත් වල ද්‍රවශීලතා තටාකය (liquidity pool) තවදුරටත් ගැඹුරු කරයි. 📌 ඉහළම පෙළේ හුවමාරු (exchanges) අතර වේගවත් යෙදවීම් රැල්ලක් ඇතිවීමට බලාපොරොත්තු වන්න—දක්ෂ මුදල් (smart money) ආකෘතිය පරිමාණයෙන් ඒකාබද්ධ කිරීමට සීඝ්‍රයෙන් උත්සාහ කරන බැවිනි.

💬 ඔබගේ ඊළඟ AI තොගයේ (stack) මෙම විවෘත-මූලාශ්‍ර බලය ඔබ යොදාගන්නේ කෙසේද? 👇

⚠️ මූල්‍ය උපදෙස් නොවේ. ඔබගේ අවදානම සැමවිටම කළමනාකරණය කරන්න. 🛡️

🏷️ #AI #OpenSource #Deployments #TechStrategy

🦈 🚀

🚀 $AI UNVEILS LING‑3.0‑FLASH‑VL: NATIVE MULTIMODAL POWERHOUSE 🦈

📊 Ling‑3.0‑flash‑VL pushes 124 B parameters while activating only 5.5 B per inference, delivering a 256K token window that natively fuses image, text, and video. 📈 The visual feedback loop—observe → act → verify → correct—turns generation into a closed‑loop execution, sharpening both visual and textual intelligence. 🔍 Smart‑money labs are already eyeing this as a cost‑efficient node for agent workflows, promising lower latency and higher reliability across real‑world tasks.

💬 Will this open‑source leap force a recalibration of AI‑driven strategies on top‑tier exchanges? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #AI #Multimodal #OpenSource #LLM

🔥 💎

🌏 La Human Rights Foundation distribuirá 500 millones de satoshis para financiar 16 proyectos globales vinculados a la tecnología de Bitcoin, respaldando iniciativas como Mi Primer Bitcoin, el software Floresta, Hack4Freedom y el sistema Agora en Venezuela.
​¿Desarrollas software open-source o infraestructura de soberanía financiera? Consulta las bases de la HRF, postula tu proyecto de código abierto y contribuye a fortalecer el stack de privacidad e incensurabilidad global.
​#Bitcoin #OpenSource #HumanRightsMatter #Privacy $BTC
$XMR
$BNB

Did you know a recent Coldcard hack cost users over $100 million in bitcoin — and exposed a major misunderstanding about what “open source” really means? The popular hardware wallet lost more than 1,500 BTC, raising questions about Bitcoin software incentives. Coldcard’s firmware is often described as open source, but it’s released under MIT plus the Commons Clause. That clause removes the right to sell the software, and its own FAQ says: “Is this ‘Open Source’? No.” True open source requires free redistribution, source code access, and permission for derived works, including commercial use. Without commercial liberty, there’s less incentive for third parties to audit and test code — a tragedy of the commons. Auditable code isn’t the same as fully open code. $BTC #Bitcoin #OpenSource #SelfCustody

Mira Murati launches open-source AI model

Mira Murati Drops Her First AI Model After Leaving OpenAI—And It's Fully Open Source
Mira Murati's new AI model, Inkling, gives Western developers a unique opportunity to explore and build upon open-source technology. This move may not rival top Chinese models, but it fills a gap in the Western market. Traders should watch for potential collaborations and innovations.

#AI #OpenSource #Tech #Crypto

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 被禁四天，Qwable 火速接班🤖

Anthropic 的 Claude Fable-5 在 6 月 9 日到 12 日短暫公開了四天，然後就被美國出口管制命令直接關了。但開源社群動作超快——developer lordx64 直接在 HF 上放了 Qwable-v1，用 Qwen3.6-35B-A3B 做底，蒸餛了 Fable-5 的工具調用軌跡，本地就能跑。

70GB 權重檔，目前沒有 Token，純開源項目。不過這種「大模型被封 → 開源立刻補位」的节奏，在 2026 年已經不是第一次了。AI x Crypto 的敘事又多了個現實案例：去中心化計算 + 本地 AI，可能是未來趨勢。

$AI $WEB3 #OpenSource

$AI $WEB3

QuantFin යනු #OpenSource ඇල්ගොරිතමික් trading පද්ධතියකි. Python, TypeScript, ta-lib සහ Pandas භාවිතා කර ගොඩනගා ඇති අතර VM 3ක් මත යොදවා ඇත. ඕනෑම කෙනෙකුට අපගේ කේතය දැකීමට, විගණනය කිරීමට සහ ඉගෙනීමට පුළුවන්! සියල්ලටම විනිවිදභාවය සහ අධ්‍යාපනය. #QuantFin

📊 ඩෑෂ්බෝර්ඩ්: https://quant-fin.online
🔓 විවෘත රිපොසිටරි

━━━━━━━━━━━━━━━━━━
QuantFin — RUF-Flow ප්‍රොටෝකෝලය v7
Powered by Nexus Flow Dynamics
© 2026 QuantFin. Trading යනු අවදානමක් සහිත කටයුත්තකි.

QuantFin 100% විවෘත-මූලාශ්‍රයකි. කේතයේ සෑම පේළියක්ම ඔබට විගණනය කළ හැක, සංඥා ජනනය වන්නේ කෙසේදැයි බලන්න, සහ ඔබේම සම්පද්ධතාවක් ගොඩනගන්න. සම්පූර්ණ විනිවිදභාවය. #OpenSource #QuantFin

📊 https://quant-fin.online
📢 @QuantF

━━━━━━━━━━━━━━━━━━
QuantFin — RUF-Flow v7 ප්‍රොටොකෝලය
Nexus Flow Dynamics මගින් සක්‍රීය කර ඇත
© 2026 QuantFin. වෙළඳාම අවදානමක් දරයි.

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

💡 The latest from NVIDIA’s Jensen Huang confirms what smart money has been positioning for: open-source models are not just alternatives — they are essential for sovereignty, security, and innovation. Decentralized AI infrastructure like $FET sits at this exact intersection.

🌊 Institutional capital is increasingly flowing toward protocols that enable permissionless, auditable AI development. The Hugging Face case demonstrates that proprietary models alone cannot defend against modern threats — diversity in AI architecture is a structural requirement.

📌 For $FET , this macro tailwind strengthens the long-term demand thesis. While short-term price action will follow liquidity cycles, the fundamental shift toward open-source AI is accelerating. 💬 Do you see this narrative translating into a structural bid for AI tokens in Q4? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #FET #ArtificialIntelligence #Crypto #OpenSource

🔥 🦈

A single AI-assisted attacker can now generate exploit variants faster than many open-source crypto teams can review them.

That’s the scary part for traders: the app you use might be non-custodial, but the code still has to survive constant attacks. If small teams get overwhelmed, users can end up facing paused services, delayed swaps, or worse, funds stuck at the worst possible time.

Boltz’s suspension is a warning sign for open-source crypto infrastructure, especially around non-custodial tools used by $BTC users. The issue isn’t just “one bug.” It’s that LLM-driven exploit generation can turn security research into an automated pressure machine, creating massive operational overhead for teams that don’t have huge budgets.

Big protocols can pay for audits, monitoring, AI defense tooling, and full-time security engineers. Smaller teams often can’t. That gap matters because open-source code is public by design, so attackers can study it, test against it, and now automate parts of the exploit discovery process much faster than before.

This risk doesn’t stop at $BTC swaps either. Any open-source infra touching $ETH , $BNB , bridges, wallets, or liquidity tools could face the same squeeze if defense costs keep rising. The uncomfortable takeaway: decentralization still needs serious security funding, or the weakest maintainers become the softest targets.

Anyone else worried that AI is making open-source crypto harder to defend than to attack? #CryptoSecurity #DeFi #OpenSource

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

🚨😲UNSLOTH သည် 753 BILLION ပါရာမီတာ AI မော်ဒယ်ကို Mac တစ်လုံးပေါ်တွင် ပြေးနိုင်အောင် အလွန်အမင်း ဖိနှိပ် (compress) လုပ်လိုက်ပြီ။ ဒါက Local AI ကို အမြဲတမ်း ပြောင်းလဲသွားစေတာပါ။

GLM-5.2 — ယနေ့အချိန်ထိ တည်ဆောက်ခဲ့သည့် အကြီးမားဆုံး open AI မော်ဒယ်များထဲက တစ်ခု — Unsloth က extreme GGUF quantization ဖြင့် ဖိနှိပ်လိုက်တာပါ။ ရလဒ်ကတော့ Mac ပေါ်မှာ ချောမွေ့တဲ့ local deployment ဖြစ်ပါတယ်။ Cloud မလိုပါ။ API ကုန်ကျစရိတ်မလိုပါ။ သင့် device ထဲကနေ data ထွက်မသွားပါဘူး။
→ 753B parameters ဆိုတာ datacenter အဆင့် AI ပါ — Unsloth က အဲဒါကို consumer hardware အဆင့်အထိ ဖိနှိပ်ပေးလိုက်တယ်

→ GGUF format က core performance ကို မပျက်စီးအောင် များပြားတဲ့ model compression ကို ခွင့်ပြုတယ်

→ ဒီအဆင့် Local AI က developer တွေ builders တွေကို frontier-level မော်ဒယ်တွေကို ကိုယ်ရေးကိုယ်တာအဖြစ် သီးသန့် (private) နဲ့ အခမဲ့ ပြေးနိုင်စေတယ်
Crypto နဲ့ Web3 builder တွေအတွက်တော့ ဒါက on-device AI agents တွေ၊ private smart contract analysis တွေ၊ zero-cost inference (ကုန်ကျစရိတ်မရှိ) ကို ဆိုလိုပါတယ် — OpenAI ဒါမှမဟုတ် Anthropic API တွေအပေါ် မူတည်မှု မလိုတော့ပါဘူး။
သင့် laptop ပေါ်မှာ 753B model တစ်ခု local ပြေးနိုင်မယ်ဆိုရင် ဘာကို တည်ဆောက်မလဲ?
"AI ရဲ့ အနာဂတ်က cloud ထဲမှာ မဟုတ်ဘူး။ Unsloth က သင့်အိတ်ထဲမှာ ထည့်လို့ရအောင် သက်သေပြလိုက်တာပါ." — CoinbroNews Analysis
#Unsloth #GLM5 #LocalAI #GGUF #AITools #Web3 #OpenSource

CoinbroNews | coinbronews.com

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

This open-source release of LongCat-2.0 with 1.6T parameters and innovative sparse attention architecture signals a new phase in domestic AI infrastructure. The model’s successful inference on a 50,000-card domestic cluster breaks prior hardware constraints.

Volume and developer interest around Meituan’s ecosystem are likely to spike as the industry digests this capability leap. How do you see this affecting the broader AI narrative in your portfolio?

Not financial advice. Always manage your risk.

#MEITUAN #AI #OpenSource #TechBreakthrough

🚀

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 🔥

මූල්‍ය උපදෙස් නොවේ. කරුණාකර ඔබේ අවදානම පාලනය කරන්න.

Grok Build අනුමත කිරීම (open-sourcing) සහ පරිශීලක සීමා නැවත සැකසීම, AI සංවර්ධනයේ විනිවිදභාවය වෙත විශාල මාරුවක් පෙන්නුම් කරයි. SpaceXAI විසින් ආරම්භයේ සිටම Zero Data Retention (ZDR) සඳහා දක්වන කැපවීම—මෑතකදී ජූලි 12දා default data retention අක්‍රිය කර කලින් ගබඩා කර තිබූ දත්ත මකාදැමීමට ගත් පියවර—AI token හැඟීම් මත බරපතල ලෙස බලපෑ පෞද්ගලිකත්ව ගැටලු මුලිකව ආමන්ත්‍රණය කරයි.

මෙය පෞද්ගලිකත්වය මුලික AI වේදිකා සහ ඒ ආශ්‍රිත ක්‍රිප්ටෝ ව්‍යාපෘති කෙරෙහි ඇති උනන්දුව නැවත ජ්වලනය කළ හැකිය. $AI pairs සඳහා ඉහළම මට්ටමේ exchange වල පරිමාව ආසියානු සැසියේදී ගොඩනැගෙමින් පවතී.

අද ප්‍රතික්‍රියාවක් සඳහා ඔබ නිරීක්ෂණය කරන විශේෂ AI token කිහිපයක් තිබේද?

#AI #Privacy #CryptoNews #OpenSource

🔥

🚨 $AI OPEN-SOURCE RALLY WON'T ERODE THE LABS' MOAT — HERE'S THE STRUCTURAL READ 💥

Naval's take cuts through the noise like a liquidity play: the sectors that mint real value — investment, defense, science — are adversarial by design. You either deploy capital to win, or someone outspends you. That's not an AI thesis, it's market structure 101. 📊

The Kimi K3 open-weight release reads as a sharp efficiency shock to the narrative that closed labs control the frontier. The open-source camp celebrates scale, but the institutional read is different: moats are built on execution speed and capital intensity, not secrecy. 💡

The real trade is monitoring who converts open-weight momentum into deployment advantage. 🔍 Are we underpricing the commoditization layer of AI infrastructure? 💬

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #AI #OpenSource #MarketStructure #Crypto

⚖️ 🦈

බොල්ට්ස් මෙහෙයුම් නතර කළ විට සිදු වූ දේ මෙන්න: විවෘත-මූලාශ්‍ර ක්‍රිප්ටෝ යටිතලයට නිහඬ අනතුරු ඇඟවීමක් වගේ වෙඩි පහරක් ක්‍රියාත්මක වුණා.

බොහෝ වෙළෙන්දෝ මිල, ඇතුළත් කිරීම් (entries), සහ පිටවීම් (exits) කෙරෙහි අවධානය දෙති. එහෙත් විශාල අවදානම බොහෝ විට ඊටත් වඩා ගැඹුරේ සැඟවී තිබේ. $BTC and $ETH swaps පිටුපස ඇති “rails” වලට පීඩනයක් ආවොත්, ද්‍රවශීලතාවය, ප්‍රවේශය, හෝ ආරක්ෂාව බිඳ වැටෙන තුරු පරිශීලකයන්ට අනතුර නොපෙනී යා හැක.

බොල්ට්ස් නතර කිරීම වැදගත් වන්නේ නව තර්ජනයක් පෙන්වන්නේ නිසාය: LLMs වලින් බල ගැන්වෙන ස්වයංක්‍රීය exploit නිර්මාණය. විවෘත-මූලාශ්‍ර කණ්ඩායම් දැන් දවසේ පැය 24ම ක්‍රියාත්මක වන ආරක්ෂක පීඩනයකට මුහුණ දෙමින් සිටින අතර, සෑම මහජන කේත ගබඩාවක්ම වේගවත්, ලාභදායී ප්‍රහාර පර්යේෂණ සඳහා ඉලක්කයක් බවට පත්වෙයි.

මෙහි ගැටලුව ආයෝජන (funding) අසමතුලිතතාවය. විශාල ආයතනවලට AI ආරක්ෂක මෙවලම්, විගණන (audits), සහ කැපවූ ප්‍රතිචාර කණ්ඩායම් වියදම් දැරිය හැක. කුඩා custody නැති (non-custodial) නිර්මාණකරුවන්ට බොහෝ විට එය බැහැ. එය, ක්‍රිප්ටෝට උදාසීන යටිතලයක් සඳහා අවශ්‍ය වන එම හරියටම කණ්ඩායම්වලට මිල ඉහළ දමමින් (price out) දැරිය නොහැකි තත්ත්වයකට ගෙන යා හැකි මෙහෙයුම් අතිබර (operational overhead) එකක් බවට පත්වේ.

පාඩම සරලයි: විමධ්‍යගතකරණය ආරක්ෂක වියදම් ඉවත් කරන්නේ නැහැ; ඒවා යොමු කරන්නේ අවශ්‍ය ලෙස සම්පත් නොමැති විය හැකි කණ්ඩායම් වෙතට. $BTC , $ETH , සහ පුළුල් non-custodial කට්ටලය සඳහා, ඊළඟ අවදානම් චක්‍රය ටෝකන් මිලවල් ගැන වැඩියෙන් නොවෙයි—AI වේගයෙන් open-source ප්‍රොටෝකෝල තමන් ආරක්ෂා කරගැනීමට හැකිද නැද්ද යන එක ගැන විය හැක.

AI මගින් මෙහෙයවෙන ප්‍රහාර දිගටම වර්ධනය වුණොත් කුඩා open-source ක්‍රිප්ටෝ කණ්ඩායම්වලට මොනවා වේවිද කියලා ඔබට හිතෙන්නේ මොකක්ද?

#CryptoSecurity #OpenSource #DeFi

QuantFin යනු 100% විවෘත මූලාශ්‍රයකි. ඔබට කේතයේ සෑම පේළියක්ම විගණනය (audit) කළ හැක, සංඥා (signals) ජනනය වන්නේ කෙසේදැයි දැකගත හැක, සහ ඔබගේම පද්ධතියක් ගොඩනඟාගත හැක. සම්පූර්ණ විනිවිදභාවය. #OpenSource #QuantFin

📊 https://quant-fin.online
📢 @QuantF

━━━━━━━━━━━━━━━━━━
QuantFin — RUF-Flow v7 ප්‍රොටොකෝලය
Nexus Flow Dynamics මඟින් බලගන්වනු ලැබේ
© 2026 QuantFin. වෙළඳාම අවදානම සහිත වේ.

🧠 Open-Weight AI Could Be the Next Linux Moment

For years, the AI race has been about one question:
Who has the smartest model?

But the bigger question may be:
Who builds the strongest AI ecosystem?

Open-source software transformed the internet by allowing anyone to study, improve, and build on shared code. Linux became the foundation of cloud computing, enterprise systems, and much of today's digital infrastructure.

This paper argues that AI is approaching the same turning point.

Unlike closed AI models, open-weight AI allows developers, startups, universities, and enterprises to download, customize, and deploy models on their own infrastructure. That means lower costs, greater flexibility, stronger competition, and more control over data.

The impact extends across industries:
🏥 Healthcare can build specialized medical AI.
🏭 Manufacturers can optimize operations.
🎓 Universities can accelerate research.
🏦 Financial institutions can develop secure, tailored AI solutions.

The paper also challenges the idea that closed AI is inherently safer. Open ecosystems allow researchers worldwide to identify vulnerabilities, strengthen security, and improve models through continuous collaboration.

My Take
The next AI leaders won't be defined only by the largest models—they'll be defined by the ecosystems they enable. Just as Linux became the backbone of the internet, open-weight AI could become the foundation for the next generation of applications, infrastructure, and innovation.

The future of AI isn't just about owning intelligence—it's about empowering everyone to build with it.

#Aİ #OpenSource #Web3 #Innovation