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BAD BENNY'S INK REVEALED 🤯🔥 CHECK OUT OUR LATEST HEYGEN AI VIDEO!
OKAY, OKAY, OKAY EVERYONE! YOU KNOW WE'RE ALL ABOUT PUSHING BOUNDARIES AND HAVING SOME FUN HERE!
WE'VE DONE IT AGAIN! 🚀 THIS TIME, WE'RE DIVING HEADFIRST INTO THE WORLD OF... TATTOOS! ✍️
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WHAT OTHER CRAZY IDEAS SHOULD WE BRING TO LIFE WITH AI?
#ai #heygen #amplifyai #aivideos #aiavatars #aiworkshop #aitraining #aischool #affiliatemarketing
Learn how EU labeling of AI content could change news, ads, and politics in Europe. Join our aims to understand AI, misinformation, and regulation. - how does labeling AI help accuracy and trust? - what sectors are most affected? - what are the real numbers behind AI incidents in 2024?
#AI #EU #Misinformation #AIRegulation #LLMs
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WELCOME TODD KERR TO THE AMPLIFY AI WORKSHOP! 🚀
GET READY TO EARN WHILE YOU LEARN! 🔥
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#ai #heygen #amplifyai #aivideos #aiavatars #aiworkshop #aitraining #aischool #affiliatemarketingbeginners
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Anthropic dropped Claude Sonnet 4.5 on September 29, 2025, calling it the best coding model. It can code, run big tasks, and use live terminals. It reportedly runs 30+ hours in one session, with 77.2% SWE-bench and 82% on verified tests. Pricing stays at $3 per million input tokens and $15 per million output tokens. Access is via Anthropic API, AWS Bedrock, Google Vertex AI, and a Copilot preview. The context window is 200K tokens, with some Vertex AI clients seeing up to 1M tokens. It promises safer guardrails, memory boosts, and better tool use for reliability.
- what makes Claude Sonnet 4.5 stand out for developers?
- how does the pricing compare to GPT-5?
- where can you access it today?
#AI #Anthropic #ClaudeSonnet #CodingAI #TechNews
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A federal judge rejected Anthropic's $1.5 billion copyright settlement over training data from pirated books, a decision that could reshape AI data rules.
- what happened on Sept 8, 2025 and why it matters
- could force data source disclosure and creator opt-in licensing
- may slow model releases and raise costs for developers and authors
- who is affected: authors, artists, journalists, developers, and users
- what's next: more lawsuits and potential federal rule changes
#ai #copyright #anthropic #aiethics #law
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After YEARS of community requests, n8n finally delivered the most anticipated feature of 2025! 🔥
What's Revolutionary: ✅ Native data storage built into n8n workflows ✅ No more external database setups or credentials ✅ Data persists between workflow executions ✅ Available on ALL plans (including free!) ✅ 50MB storage limit per instance
Community Response:
111+ upvotes on Reddit in 48 hours
"This solves my #1 frustration!" - Top community feedback
"Game changer for automation builders" - Power users
Already spawning viral workflow showcases
Why This Matters: No more complex PostgreSQL setups, no more third-party APIs, no more clunky workarounds! Finally, true data persistence in your n8n workflows without leaving the platform.
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Trending Hashtags: #n8nDataTables #n8nAutomation #WorkflowAutomation #NoCodeRevolution #n8nv1113 #AutomationTools #TechBreakthrough #n8nCommunity #DataPersistence #ProcessAutomation
Links & Resources:
🔗 n8n Data Tables Documentation: [n8n Docs Link]
🔗 Download n8n v1.113: [n8n GitHub Link]
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WELCOME ABOARD Knox Koro! 🚀🎉
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#ai #heygen #amplifyai #aivideos #aiavatars #aiworkshop #aitraining #aischool
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New data shows a wide AI value gap: big spending on AI, but limited returns.
A CNN report highlights that the gap spans finance, healthcare, and beyond.
Key challenges include integrating AI into workflows, data quality, and regulatory/ethical concerns.
Solutions call for rethinking AI strategies, better data analytics, and more cross-department teamwork.
This story helps you plan smarter, cut costs, and push real value.
Bottom line: AI is not dead, but returns are earned with smart moves.
#AI #AIVALUEGAP #AIInvestment #TechTrends #BusinessAI
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Join our Amplify AI Skool Community To Learn More: https://mylnks.xyz/amplifyai
AI and mouse brains are showing surprising similarities. Researchers compared AI models to the mouse visual cortex and found overlaps in how they connect and process visual info.
In some tests, the pattern inside AI layers matched the mouse brain's visual path, with representational similarity above 80% in some areas.
We looked at how features build from edges to shapes, mirroring the mouse's own processing.
CNNs and transformer models, when tuned for the task, arrived at similar intermediate representations to actual brain tissue.
Mice have about 71 million neurons; data came from the Allen Brain Observatory and other large datasets.
#ai #neuralnetworks #aiandneuroscience #machinelearning #braininspired
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