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Discovering Yae Miko's Playful Side🍡 (Full Ver) Scene data Available on Patreon. Enjoy! #Genshin #GenshinImpact #hentai #nsfw #koikatsu

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CinCaoiz🔞

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144,215 次观看 • 2 年前 •via X (Twitter)

NSFW#Genshin#GenshinImpact#hentai#nsfw#koikatsu
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Was nervous to post this on Twitter but here’s my take on if I was to audition to be the voice for Paimon from Genshin Impact!! I really hope you enjoy it :3 Full video on my YouTube <3 #voiceacting #GenshinImpact #Genshin #paimon
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Was nervous to post this on Twitter but here’s my take on if I was to audition to be the voice for Paimon from Genshin Impact!! I really hope you enjoy it :3 Full video on my YouTube <3 #voiceacting #GenshinImpact #Genshin #paimon

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Left side: Nantucket Wharf. Wealthy white folks sipping overpriced coffee, walking dogs in peace, shopping like civilized humans. Zero drama. Just quiet luxury and basic manners. Right side: Wendy's in somewhere. Immediate chimpout, chairs flying, screaming, zero impulse control. "Fries with that?" turns into a WWE event in 4 seconds flat. The irony is thicker than a triple baconator: Same country, same "systemic" everything according to the experts. One zip code full of high SES, future-time-orientation, and actual social capital. The other? Concentrated chaos, single motherhood stats on steroids, and a culture that celebrates the exact behavior destroying it. But sure, tell me again how it's all poverty, racism, and "lack of opportunities." Meanwhile the data screams cultural pathology and personal responsibility — or as Pastor Manning called it, straight Niggerism. We imported the third world into our fast food joints and act shocked when it feels like one. Restore order or enjoy the show, America. Your choice. 🔥 #NantucketVsReality #SelfDestructionSeason #PersonalResponsibility

Frankie™️🦅

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The same satellite tech can track a convoy through dense cloud cover at night, flag a sinkhole weeks before it opens, catch a village built on a collapsing slope, and even map the inside of a pyramid from orbit. It's called Synthetic Aperture Radar (SAR), and a lot of the data is free. In this video I cover the physics, the commercial arms race, and the defense constellation that will track every moving vehicle on Earth by the 2030s. 0:00 - A convoy no camera can see 0:56 - What is Synthetic Aperture Radar? 2:02 - InSAR: sub-millimeter change detection 3:07 - They scanned inside a pyramid from space 4:20 - These cities are sinking faster than sea levels rise 5:00 - North American bridges are the worst on Earth 6:09 - An AI caught a village built on a landslide 7:50 - The commercial SAR arms race 9:01 - GMTI: tracking convoys in the dark 11:26 - NISAR: the billion-dollar SAR satellite 12:45 - The other side of this all Full video on YT on Bilawal Sidhu channel. Enjoy.
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The same satellite tech can track a convoy through dense cloud cover at night, flag a sinkhole weeks before it opens, catch a village built on a collapsing slope, and even map the inside of a pyramid from orbit. It's called Synthetic Aperture Radar (SAR), and a lot of the data is free. In this video I cover the physics, the commercial arms race, and the defense constellation that will track every moving vehicle on Earth by the 2030s. 0:00 - A convoy no camera can see 0:56 - What is Synthetic Aperture Radar? 2:02 - InSAR: sub-millimeter change detection 3:07 - They scanned inside a pyramid from space 4:20 - These cities are sinking faster than sea levels rise 5:00 - North American bridges are the worst on Earth 6:09 - An AI caught a village built on a landslide 7:50 - The commercial SAR arms race 9:01 - GMTI: tracking convoys in the dark 11:26 - NISAR: the billion-dollar SAR satellite 12:45 - The other side of this all Full video on YT on Bilawal Sidhu channel. Enjoy.

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Introducing AI Lab Monetization Play. AI Lab Monetization Play tracks the revenue run-rate of major AI laboratories in real time using public and alternative data signals. The Play provides a continuously updated view of commercial scale across the frontier AI landscape. ARR Dashboard The dashboard estimates annual recurring revenue for Anthropic, OpenAI, and other frontier labs. Each estimate is broken down by revenue stream, growth trajectory, and implied valuation multiple. It surfaces which labs are scaling fastest and where the commercial momentum is concentrated. Model Routing and Market Share The Play tracks real-time model usage share across inference providers. It measures routing volume through aggregators to identify which models are capturing production workloads. Shifts in routing patterns signal adoption inflections before they appear in reported financials. Model Pricing and Capabilities The Play maintains a comprehensive pricing table across all major foundation models. Input and output token costs, context windows, and capability tiers are mapped side by side. It serves as the reference layer for competitive positioning and margin structure across the model ecosystem. Available to all paid clients on our full-stack research platform. Start here:
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Introducing AI Lab Monetization Play. AI Lab Monetization Play tracks the revenue run-rate of major AI laboratories in real time using public and alternative data signals. The Play provides a continuously updated view of commercial scale across the frontier AI landscape. ARR Dashboard The dashboard estimates annual recurring revenue for Anthropic, OpenAI, and other frontier labs. Each estimate is broken down by revenue stream, growth trajectory, and implied valuation multiple. It surfaces which labs are scaling fastest and where the commercial momentum is concentrated. Model Routing and Market Share The Play tracks real-time model usage share across inference providers. It measures routing volume through aggregators to identify which models are capturing production workloads. Shifts in routing patterns signal adoption inflections before they appear in reported financials. Model Pricing and Capabilities The Play maintains a comprehensive pricing table across all major foundation models. Input and output token costs, context windows, and capability tiers are mapped side by side. It serves as the reference layer for competitive positioning and margin structure across the model ecosystem. Available to all paid clients on our full-stack research platform. Start here:

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GMiden everyone 🤟 In finance, one rule always holds: a business is only as secure as the data behind it. So when the Miden team talks about Practical Private Finance, its not marketing - its a new on-chain model that finally works in real-world conditions. What’s the core idea behind Miden approach? The breakthrough is client-side proving: all computation happens on the users device. Your phone or laptop generates a local ZK-STARK proof, and the network verifies only correctnes. No exposed balances, no leaked strategies, no unnecessary risks. The chain sees the proof, but never your local state. That’s what practical privacy looks like. This is the kind of privacy blockchains should have offered to banks, brokers, trading platforms, and institutions yaers ago. And now it becomes real: private smart contracts, private execution, full control over state, fast performance, and programmable confidentiality - all without sacrificing speed or scalability. Practical Private Finance from Miden isnt a plug-in on top of the EVM. Its a new financial architecture where offchain data, proof-based validation, and compliance-ready design work as a unified system. This is how on-chain finally returns to sanity where trust isnt a slogan, but cryptography. And that’s exactly what inspired todays non NFT crypto art with my unofficial Miden mascot. The art itself in good quality is in the quote under this postHope you enjoy it )) #Miden #ClientSideProving
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GMiden everyone 🤟 In finance, one rule always holds: a business is only as secure as the data behind it. So when the Miden team talks about Practical Private Finance, its not marketing - its a new on-chain model that finally works in real-world conditions. What’s the core idea behind Miden approach? The breakthrough is client-side proving: all computation happens on the users device. Your phone or laptop generates a local ZK-STARK proof, and the network verifies only correctnes. No exposed balances, no leaked strategies, no unnecessary risks. The chain sees the proof, but never your local state. That’s what practical privacy looks like. This is the kind of privacy blockchains should have offered to banks, brokers, trading platforms, and institutions yaers ago. And now it becomes real: private smart contracts, private execution, full control over state, fast performance, and programmable confidentiality - all without sacrificing speed or scalability. Practical Private Finance from Miden isnt a plug-in on top of the EVM. Its a new financial architecture where offchain data, proof-based validation, and compliance-ready design work as a unified system. This is how on-chain finally returns to sanity where trust isnt a slogan, but cryptography. And that’s exactly what inspired todays non NFT crypto art with my unofficial Miden mascot. The art itself in good quality is in the quote under this postHope you enjoy it )) #Miden #ClientSideProving

Konstantin

14,537 次观看 • 9 个月前

🌱 New Solo Cast Episode is Here Healing Your Inner Child ✨💖 Hey loves, Today I’m opening up about something that changed everything for me. Healing your inner child. We explore how past hurts (both the big, obvious ones and the quieter, repeated ones) show up in our adult lives as anxiety, people-pleasing, perfectionism, relationship patterns, and that deep fear of abandonment. I share honestly about my own journey: the trauma at 16, staying in a 24-year toxic marriage while terrified of being left (even after discovering years of betrayal), the car accident that became my wake-up call, and how CPTSD shaped so many of my choices. Most importantly, we talk about how we can gently reparent ourselves — offering the safety, love, and validation our younger selves needed. This one is raw, compassionate, and full of practical tools you can start using right away. 💛 The full 27+ minute episode is now available exclusively for members of the Self Love Circle on Patreon. If you’re ready to do this tender, powerful work and want the complete guided experience, join us: 👉 If you’ve ever felt like certain triggers or patterns were running your life… this episode is for you. Drop a ❤️ if you’re working on your inner child healing. Can’t wait to hear what resonates for you. With so much love, Cylla Kavanaugh #InnerChildHealing #SelfLoveJourney #CPTSDRecovery #Reparenting #ShadowWork #TraumaHealing #SelfLoveCircle
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🌱 New Solo Cast Episode is Here Healing Your Inner Child ✨💖 Hey loves, Today I’m opening up about something that changed everything for me. Healing your inner child. We explore how past hurts (both the big, obvious ones and the quieter, repeated ones) show up in our adult lives as anxiety, people-pleasing, perfectionism, relationship patterns, and that deep fear of abandonment. I share honestly about my own journey: the trauma at 16, staying in a 24-year toxic marriage while terrified of being left (even after discovering years of betrayal), the car accident that became my wake-up call, and how CPTSD shaped so many of my choices. Most importantly, we talk about how we can gently reparent ourselves — offering the safety, love, and validation our younger selves needed. This one is raw, compassionate, and full of practical tools you can start using right away. 💛 The full 27+ minute episode is now available exclusively for members of the Self Love Circle on Patreon. If you’re ready to do this tender, powerful work and want the complete guided experience, join us: 👉 If you’ve ever felt like certain triggers or patterns were running your life… this episode is for you. Drop a ❤️ if you’re working on your inner child healing. Can’t wait to hear what resonates for you. With so much love, Cylla Kavanaugh #InnerChildHealing #SelfLoveJourney #CPTSDRecovery #Reparenting #ShadowWork #TraumaHealing #SelfLoveCircle

Cylla Kavanaugh

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Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...
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Introducing PhoneLLM, an open model for voice agents. GPT 5.6 Terra performance on typical voice agent tasks at 1/3 the latency and 1/18 the cost. For voice agents, we need models that are both very low latency and very good at tool calling and instruction following. There's a trade-off here, and we often have to compromise on either latency or capability when building voice agents. With PhoneLLM (and the training and data stack that made this model possible) we're fixing this problem. For the last couple of years, most of the effort in frontier model development has gone towards leveraging test-time compute. Which is awesome! Models of all shapes and sizes are available that perform really, really well ... if you have "thinking" turned on for your model. But if you need your agent to respond at voice conversation speed, you can't use thinking models. PhoneLLM is a full-weights fine-tune of NVIDIA Nemotron Nano 30B. We trained on a wide range of real-world telephone and customer support use cases. The training focused on taking the excellent Nano 30B base capabilities and teaching the model to do typical voice agent tasks with thinking disabled. The results are really good: accurate tool calling and concise, on-topic responses in long conversations. And fast: TTFAT measured server-side is <100ms if you run PhoneLLM on a lightly loaded B200. :-) But seriously, when we characterize model latency, we do it with full, end-to-end, batched request simulations using real Pipecat voice agent pipelines. You can serve more than 80 concurrent agents on a single B200 with P95 end-to-end TTFAT <600ms. Including network overhead. That's an LLM cost-per-minute around $0.0025. (1/4 of a cent.) At a latency lower than any third-party API offers today. More details about this model, including weights on Hugging Face, how to spin it up with one click on Modal, and a starter project repo you can clone, are in the thread ...

kwindla

319,488 次观看 • 4 天前

What is the Billions Network? | Free The Money Ep. 26 Evin McMullen evin, Co-Founder & CEO of Billions, joins Free the Money to discusses decentralized identity, AI agents, privacy, and the future of the internet. Evin explains Billions Network’s mission to “save the internet” in the age of AI and how the company is using zero-knowledge proofs to help verify trust online without exposing unnecessary personal data or relying entirely on centralized systems. We also dive into the risks of centralized identity projects like Worldcoin, the push for age verification laws, AI regulation, and why accountability in the age of autonomous agents may become one of the defining debates of our time. Plus, we explore how platforms like TikTok are already using Billions’ technology, what the future of digital advertising could look like with AI agents, and whether there is actually a middle path between total anonymity and a full surveillance state. Sign up for ITrustCapital with this link for a $100 funding bonus. See why people are opening a tax-advantaged Crypto, Gold & Silver IRA for their future: Check out my favorite privacy coin Zano: Buy Zano seamlessly on MEXC with a VPN. You can also find a full list of exchanges that Zano is available on at Lots of educational videos on 0:0 Evin’s background , how she got into the decentralized identity space 3:47 What is Billions Network & why its here to save the internet 5:29 Dead Internet Theory 9:14 Zano 13:19 Who’s responsible for agents behavior? 18:36 ITrustCapital 20:38 Privacy vs. surveillance and the middle path forward 24:56 Billions Network vs. Sam Altman’s Worldcoin 30:35 Real-world use cases for decentralized identity 32:40 TikTok using Billion’s client-side proving libraries 34:26 How AI agents could change digital advertising forever 35:50 Protecting healthcare data with zero-knowledge proofs 39:43 What happens when digital identity changes over time? 42:34 BILL token on Coinbase 45:16 AI regulation, deepfakes, and digital identity 48:00 Balancing regulation, privacy, and personal autonomy 51:25 The necessity of trust in digital interactions 57:30 Book recommendations
59:56

What is the Billions Network? | Free The Money Ep. 26 Evin McMullen evin, Co-Founder & CEO of Billions, joins Free the Money to discusses decentralized identity, AI agents, privacy, and the future of the internet. Evin explains Billions Network’s mission to “save the internet” in the age of AI and how the company is using zero-knowledge proofs to help verify trust online without exposing unnecessary personal data or relying entirely on centralized systems. We also dive into the risks of centralized identity projects like Worldcoin, the push for age verification laws, AI regulation, and why accountability in the age of autonomous agents may become one of the defining debates of our time. Plus, we explore how platforms like TikTok are already using Billions’ technology, what the future of digital advertising could look like with AI agents, and whether there is actually a middle path between total anonymity and a full surveillance state. Sign up for ITrustCapital with this link for a $100 funding bonus. See why people are opening a tax-advantaged Crypto, Gold & Silver IRA for their future: Check out my favorite privacy coin Zano: Buy Zano seamlessly on MEXC with a VPN. You can also find a full list of exchanges that Zano is available on at Lots of educational videos on 0:0 Evin’s background , how she got into the decentralized identity space 3:47 What is Billions Network & why its here to save the internet 5:29 Dead Internet Theory 9:14 Zano 13:19 Who’s responsible for agents behavior? 18:36 ITrustCapital 20:38 Privacy vs. surveillance and the middle path forward 24:56 Billions Network vs. Sam Altman’s Worldcoin 30:35 Real-world use cases for decentralized identity 32:40 TikTok using Billion’s client-side proving libraries 34:26 How AI agents could change digital advertising forever 35:50 Protecting healthcare data with zero-knowledge proofs 39:43 What happens when digital identity changes over time? 42:34 BILL token on Coinbase 45:16 AI regulation, deepfakes, and digital identity 48:00 Balancing regulation, privacy, and personal autonomy 51:25 The necessity of trust in digital interactions 57:30 Book recommendations

Bri Teresi

21,560 次观看 • 3 个月前