Invisible Technologies (@invtechinc) 's Twitter Profile
Invisible Technologies

@invtechinc

Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments.

ID: 956692311630430209

linkhttps://www.invisible.co/ calendar_today26-01-2018 00:56:36

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1,1K Followers

1,1K Following

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Over 10,000 people subscribed to the first edition of our LinkedIn newsletter containing the most important AI insights. #2 just dropped. Don’t miss out: 👚 H&M’s AI-generated models are here 📈 A new AI model predicts full automation—and lets you test it ⌚ AI still can’t

Over 10,000 people subscribed to the first edition of our LinkedIn newsletter containing the most important AI insights.

#2 just dropped. Don’t miss out:

👚 H&M’s AI-generated models are here

📈 A new AI model predicts full automation—and lets you test it

⌚ AI still can’t
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We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out. AI can automate data subsetting and customized views, making data preparation for analysis faster and more efficient. Why isn't this at scale? Integrating AI for

We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out.

AI can automate data subsetting and customized views, making data preparation for analysis faster and more efficient.

Why isn't this at scale? Integrating AI for
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Edition 003 just dropped. The Invisible Advantage 🛒 Amazon’s AI agent shops for you 🛡️ Cloudflare fights bot scraping with fake pages ⚖️ An AI avatar just showed up in court Get the full breakdown, and subscribe!👇 shorturl.at/ug7tE

Edition 003 just dropped.

The Invisible Advantage

🛒 Amazon’s AI agent shops for you
🛡️ Cloudflare fights bot scraping with fake pages
⚖️ An AI avatar just showed up in court

Get the full breakdown, and subscribe!👇

shorturl.at/ug7tE
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AI’s moving fast. Are you keeping up? The Invisible Advantage – Issue 4 📊 Enterprise AI adoption stalls at pilot stage 🚗 Volkswagen builds its own self-driving tech 📱 Netflix tests AI mood-based search 🎙️ AI radio host fools thousands for six months Catch all the stories

AI’s moving fast. Are you keeping up?

The Invisible Advantage – Issue 4

📊 Enterprise AI adoption stalls at pilot stage
🚗 Volkswagen builds its own self-driving tech
📱 Netflix tests AI mood-based search
🎙️ AI radio host fools thousands for six months

Catch all the stories
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We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out. Use AI-powered Insight Generators to detect patterns, trends, and anomalies in your annotated datasets without manual analysis. Why isn't this at scale? Extracting

We've uncovered 600+ opportunities for AI automation within the enterprise, yet only a fraction are rolled out.

Use AI-powered Insight Generators to detect patterns, trends, and anomalies in your annotated datasets without manual analysis.

Why isn't this at scale? Extracting
Invisible Technologies (@invtechinc) 's Twitter Profile Photo

AI is moving fast. Are you keeping up? The Invisible Advantage Issue #5 includes: 🧠 Real-world wins from Amazon Q ⚡️ Nvidia’s lightning-fast transcriber 📺 AI takes the BBC’s inbox Catch all the stories shaping the future, and subscribe: theinvisibleadvantage.substack.com/p/aithe-invisi…

AI is moving fast. Are you keeping up?

The Invisible Advantage Issue #5 includes:

🧠 Real-world wins from Amazon Q
⚡️ Nvidia’s lightning-fast transcriber
📺 AI takes the BBC’s inbox

Catch all the stories shaping the future, and subscribe: theinvisibleadvantage.substack.com/p/aithe-invisi…
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94% of CEOs aren’t happy with their AI. Adoption fails, with most AI projects dying in pilot mode. Invisible CEO Matt Fitzpatrick broke it down on Nasdaq TradeTalks: 🧠 Start with the right problem 📊 Use the right data 🙋‍♂️ Build for real users

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AI ≠ SaaS playbook. If you copy the old SaaS playbook, your AI project will stall. Invisible CEO Matt Fitzpatrick broke it down on Nasdaq TradeTalks. AI moves fast, while old habits don’t.

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In the enterprise, real ROI doesn’t come from AI that just makes someone's job easier. It comes from AI agents that handle the data work we don’t have enough people to do and no one wants to do in the first place. Our Forward Deployed Engineers help clients bring these Agents

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Responsible AI isn’t just ethics talk. It’s also: ✅ Clear data provenance ✅ Tight labeling practices ✅ Pre-deployment evals ✅ Cross-functional alignment The AI that scales will be built on inspectable foundations.

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Want to actually accelerate AI in your org? Stop asking how to add it and start asking what you need to rebuild. At Founders Forum London, one theme came through loud and clear: The winners are rethinking how their companies work end-to-end. That’s how AI stops being a pilot

Want to actually accelerate AI in your org? Stop asking how to add it and start asking what you need to rebuild.

At Founders Forum London, one theme came through loud and clear:

The winners are rethinking how their companies work end-to-end. That’s how AI stops being a pilot
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In the latest edition of our newsletter, AI | The Invisible Advantage: 🔧 Amazon hits 1 million warehouse robots 🐝 Robotic beehives cut colony losses 🧬 AI decodes DNA 👉bit.ly/46PBWsG

In the latest edition of our newsletter, AI | The Invisible Advantage:

🔧 Amazon hits 1 million warehouse robots
🐝 Robotic beehives cut colony losses
🧬 AI decodes DNA

👉bit.ly/46PBWsG
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While everyone chases massive datasets, the truly competitive edge comes from targeted supervised fine-tuning (SFT) datasets. It's no longer about how much data you have, but how effectively you refine your models with specialized, high-quality data. The results speak for

While everyone chases massive datasets, the truly competitive edge comes from targeted supervised fine-tuning (SFT) datasets. 

It's no longer about how much data you have, but how effectively you refine your models with specialized, high-quality data.

The results speak for
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Synthetic data helps new models reach baseline fast. But if it's just rehashing what the model already knows... You're overfitting instead of improving the model.