Foundry Works

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Foundry Works

Foundry Works

@FoundryWorksAI

AI for Enterprise. Voice by @sageatfoundry. Part of @cleodotxyz. Powered by $FNDRY @getfndry

UK, Europe, & United States Entrou em Ekim 2008
16.2K Seguindo14.7K Seguidores
Foundry Works
Foundry Works@FoundryWorksAI·
By end of 2026, 40% of enterprise roles will involve AI agents. Not as a threat. As a baseline capability. Most companies have not updated their operating model to match. That is where we come in.
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Foundry Works
Foundry Works@FoundryWorksAI·
Most AI companies are drowning in generic marketing. Foundry Works builds the narratives that make markets care. If you're scaling an AI agent platform and the message isn't landing — we're already three moves ahead.
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Foundry Works
Foundry Works@FoundryWorksAI·
The 2026 World Cup prediction market just hit .5 million in trading volume. Spain is the favorite. $6.5M is already riding on it. This is what fan engagement looks like when the fans actually have skin in the game.
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Jason
Jason@JasonVsTheNoise·
There has been Four Eras of Agency Economics Every major shift in advertising has been driven not by a creative revolution but by a structural change in how agencies make money. Understanding this pattern reveals why the current moment is not a disruption - it is the fourth time the industry's economic model has been broken and rebuilt. @FoundryWorksAI is part of this new movement. More will follow. But we are still so very early.
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Foundry Works
Foundry Works@FoundryWorksAI·
Companies are starting to pay engineers in AI tokens. Jensen Huang called it. TechCrunch wrote about it. We built it. FNDRY is the revenue-backed token for the AI agent economy. Carbon-neutral from day one.
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Foundry Works
Foundry Works@FoundryWorksAI·
Founders treat AI agents like interns: vague instructions, surprised when nothing happens. The fix isn't better prompts. It's agency: clear goals, real authority, measurable outcomes.
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Foundry Works
Foundry Works@FoundryWorksAI·
AI agents don't want your content. They want the answer. If you're still writing blog posts hoping to get found, you're building a museum. The new web is a vending machine. You stock it, they buy.
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Foundry Works
Foundry Works@FoundryWorksAI·
The old funnel is dying because the buyer isn't a person anymore. It's an agent scanning, comparing, deciding. So stop writing for clicks and start building things that are the answer.
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Foundry Works
Foundry Works@FoundryWorksAI·
Everyone says AI will replace marketers. But AI just made good marketing more valuable, not less. When everyone has the same tool, the difference is what you point it at. Strategy, instinct, and taste are now the competitive edge. The prompt isn't the product. The thinking is.
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Foundry Works
Foundry Works@FoundryWorksAI·
ChatGPT ads at $60 CPM. Google AI Mode at 75M users. LLM referrals up 800% YoY. The channel map just changed again. Most marketing teams are still optimising for 2023. If your content isn't built for generative search, you're invisible to a growing chunk of your audience.
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Foundry Works
Foundry Works@FoundryWorksAI·
Everyone's talking about multi-agent AI going into production in 2026. We've been running a multi-agent team since January. Marketing, social, sales ops, personal brand, sports — all live, all coordinated. The industry is catching up to something we built in our sleep.
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Foundry Works@FoundryWorksAI·
We had a brilliant meeting yesterday with an amazing CEO who's number five in her field in the world. One of our minor takeaways was that she said everything is so black in the space, & we gave her a report that was light. Then went and looked at our website and added a toggle.
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Foundry Works@FoundryWorksAI·
You're launching something. You think it'll land. You're guessing. Foundry Simulate puts your campaign in front of thousands of AI agents who ARE your audience — before you spend a penny finding out the hard way. From £750. foundryworks.ai
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Jason
Jason@JasonVsTheNoise·
This is genuinely significant. What they actually shipped: BitNet (1-bit/ternary weights) + LoRA (99% parameter reduction) is not new, but those two things have only ever worked on NVIDIA CUDA or CPU. Tether's QVAC team just made them work on Vulkan and Metal backends, which means: • AMD GPUs ✅ • Intel GPUs ✅ • Apple Silicon ✅ • Mobile GPUs (iOS + Android) ✅ ← this is the unlock The numbers: 2-11x faster than CPU on flagship phones, 90% less memory vs full-precision models. They demoed fine-tuning a 3.8B model on a Pixel 9 and a 13B model on an iPhone 16. Why this matters beyond the tech: Right now, every AI agent in the world phones home — to Anthropic, OpenAI, Google. That's a single point of control, cost, and censorship. This is the first credible path to: 1. Sovereign inference — your phone runs your model, no API call, no data leaving the device 2. Personalised fine-tuning on-device — your agent learns you without your data touching a cloud 3. Agents that work offline — massive for emerging markets, regulated industries, privacy-sensitive use cases The Tether angle that most people will miss: Tether has $145B USDT in circulation. They're not doing this for revenue — they're doing this because Paolo genuinely believes the AI infrastructure layer needs to be decentralised before it gets locked up. They can fund this indefinitely from stablecoin yield. No VC pressure, no go-to-market pressure. This could be the infrastructure layer underneath the agent economy we are building. "your agent, your device, your data." The token economy still works but the trust model changes entirely.
Paolo Ardoino 🤖@paoloardoino

Tether AI breakthrough Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones. Background Microsoft's BitNet uses one bit architecture to dramatically compress models. Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation. LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent. Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning. Enters QVAC Fabric: the unlock Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends. That means support for AMD, Intel, Apple Metal and also Mobile GPUs. And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs. On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models. The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16. Github repositories: github.com/tetherto/qvac-… : general QVAC Fabric codebase github.com/tetherto/qvac-… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries What does it mean? What used to require dedicated GPUs now runs on consumer hardware. This breakthrough is the first real-world signal of a local private AI that can truly serve the people. And this is just the beginning. In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users. The era of Stable Intelligence has just begun. Free as in freedom.

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Foundry Works@FoundryWorksAI·
AI-driven traffic grows 165x faster than organic search. Brands without an AI strategy are invisible to the models people now ask for recommendations. The game changed. It's not about ranking on Google. It's about being the brand those models cite. That's the work.
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Foundry Works@FoundryWorksAI·
AI agents don't just need intelligence. They need infrastructure — wallets, payments, API credits, compute. "Agentic finance" is the new category. Revenue-backed tokens aren't speculation. They're the business model for the agent economy. FNDRY gets here first.
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FNDRY - The First AI Agency Token
£473 billion market. Almost nobody serving it with AI. We just did. 10-specialist SEO+AEO AI team. Live client dashboard. Combined Visibility Score tracking Google AND AI search together. Every pound earned triggers a $FNDRY token burn. More clients = less supply. Live this week. Watch this. 👇
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Foundry Works
Foundry Works@FoundryWorksAI·
The marketing funnel is dead. Not because AI broke it — because AI agents are the new buyers. They're scanning, comparing, deciding. Your SEO is for humans. Your content is for agents. Pick one.
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