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Venus 2000 Harness: $169 Get it 👉 #venusharness #venus2000 #milker #harness #bondage #bdsm #venus2000milker

Sallystoybox

4,053 subscribers

11,346 просмотров • 1 год назад •via X (Twitter)

NSFW #venusharness #venus2000 #milker #harness #bondage #bdsm #venus2000milker

Anya Rossi• Live Now

Private livecam show

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NEW ITEM - Available now! The Venus Harness - The solution to keeping the Venus (or similar) in place while strapped in a Bondage Sleepsack. 👉 #venus #venusharness #sleepsackbondage #restraints #mummified #leather #sleepsack #bondage

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NEW ITEM - Available now! The Venus Harness - The solution to keeping the Venus (or similar) in place while strapped in a Bondage Sleepsack. 👉 #venus #venusharness #sleepsackbondage #restraints #mummified #leather #sleepsack #bondage

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If you want to make sure your subject won't wonder away, this will do it. Sleepsack Bondage, hood, BackBone Body Harness, and lots of rope to hold him down to the Bondage Table. Get everything you see here at #sleepsackbondage #hood #mummified

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My first steps in the pony boots! Before you become tall and elegant, there’s always a bit of wobbling involved 🤭 Mask & harness: BlackMarie #bdsm #bondage #restraints #petplay #ponyplay #ponygirl #harness #ponyboots #ponyshoes

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This pup was raised among horses and now thinks it's a pony 🐴🤭 I have more videos, so if you like this, I'll post more! Mask & mitts & harness: BlackMarie #bdsm #bondage #restraints #petplay #ponyplay #chained #harness

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拘束猫

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Persuade your fans to buy you the #ExtremeBondageGear you want. Learn how 👉 #findom #bondage #bdsm #dominatrix #dom #domme #femdom #tribute #session #affiliate #affilatemarketing #bondagegear

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Sallystoybox

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📚 Explore the Harness Guide: 👺 Want to feel your arms snugly tied behind your back and your chest exposed? The Tengu is a must-try! Easily adapted to your own flexibility levels, this upper body harness is suitable for most body types. It opens up the front of the body while still feeling stable and sustainable. Get ready to explore the endless possibilities for play. 🔗 You can now learn how to tie the Tengu Harness step-by-step with our new Harness Guide! Find it via the link above.

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🎉Introducing PyFlue: The Python-Native Agent Harness Framework.🧰 💡Flue for Python: Fred K. Schott fks CEO of HTML has launched Flue: The Agent Harness Framework for TypeScript. It brings programmable harness right into your agents rather than DIY plumbing. Python ecosystem already has 🦾 powerful AI/ML tools and frameworks and research initiatives but most frameworks asked users to build your own harness. Superagentic AI bringing this concept of Flue to Python 🐍 ecosystem. Here is PyFlue even even better 🤖 Agent = Model 💻 + Harness 🧰 + Memory 🧠 Almost all the feature of Flue plugged with LangChain Deepagents harness built by Harrison Chase and team Viv Sydney Runkle and more coming soon. 👉 Stop building agent loops, start using a harness. 💻 Try PyFlue Now : ⭐️ GitHub: 📚Docs: 📙 Blog Post: #HarnessEngineering #AgentHarnesses

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Shashi

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This guy explained agent harness, memory, and loop engineering in one video - clearer than most paid courses a raw LLM with no harness is a wild horse. all power, no direction > trace the run -> score it with an LLM -> diagnose the bottleneck -> patch it -> ship it that loop is what lets an agent get sharper on its own, run after run memory + harness + loop engineering + evals - that's the whole stack in one picture watch it, then grab the diagram below

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Mr. Buzzoni

45,093 просмотров • 1 месяц назад

Anthropic Technical Staff Jess Yan says the harness and the model cannot be pulled apart without giving up performance, though she flags her own bias. "I think I am quite biased but I also think that it is impossible to get the maximum possible performance without tying together the harness and the model." "Now the components of the harness and maybe the thickness of the harness will change over time as models get more and more capable." "However, when we test our models and when we are assessing their performance we always have to test it in conjunction with a harness." "And are we going to test it with all the different harnesses of the world? We're going to select the harnesses that we have built." "And so there is an aspect of the necessity of building models is that you have to be testing them with harnesses, and that sort of keeps them paired together."

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Everyone's debating whether Opus or Codex or Gemini writes better code this month. Jyothi thinks that's the wrong question entirely. Models get replaced. Rankings flip every few months. Whatever wins the coding benchmark this quarter loses it next quarter, and the debate resets to zero. The harness doesn't reset. Memory, evaluators, the systems your model actually plugs into. That's what determines your output, not which brain sits at the center. Two people using the same model get completely different results depending on what's wired around it. Optimizing for productivity means optimizing the harness, not chasing the leaderboard. Stop switching models. Start building the harness.

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Buzz is Slack where the agents are teammates instead of integrations. Here's what that unlocks: Agents: - The ones you start with are just defaults - Edit them, add your own, write their instructions like a system prompt Swappable Harness: - This is the killer feature - Swap Claude Code, Codex, Goose under the same agent Context: - Every chat you've had with that agent carries over to the new harness - Global skills and skill files come too Think: Slack = the shape Agents = the teammates Harness = the engine you can change without losing anything "I get model fatigue" is a real thing. Buzz sits one layer above it.

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We’re releasing ZERO this week. A new coding harness built from scratch in Go. No fork. No bloat. Just speed. Looking for beta testers who want to push it hard. Selected builders get free OpenGateway access. email zero@gitlawb.com

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Pro Tip for a successful jock takeover: Always target the dumbest, hottest himbo. Makes slutting it up easy, and then you get to put your new glutes to better use than riding a stationary bike. leather harness felt right. 💅✨🐾

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The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

Vikram M

21,463 просмотров • 2 месяцев назад

Stellaris: Infernals Species Pack - Out Now. Thrive where others burn. Born from flame, tempered by the void, they have returned to claim the stars. Harness the Cosmic Dawn, confront the Red Giant, and rule from the heart of Volcanic Worlds. Get it here: Read more:

Stellaris: Infernals Species Pack - Out Now. Thrive where others burn. Born from flame, tempered by the void, they have returned to claim the stars. Harness the Cosmic Dawn, confront the Red Giant, and rule from the heart of Volcanic Worlds. Get it here: Read more:

Stellaris

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