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@TFTC21 When AI ask the church for Help AI baptism irl. Wild!

Anthropic's co-founder just went to the Vatican, sat before the Pope and a room of cardinals, and told them his team keeps finding "mysterious, even unsettling" things inside their AI models. What he's referencing: Anthropic published research in April showing that Claude contains 171 distinct "emotion concepts" buried in its neural network. Internal patterns representing joy, grief, fear, desperation, calm. None of them were programmed. They emerged on their own from training on human text. "We find structures that mirror results from human neuroscience." "We find evidence of introspection, internal states that functionally mirror joy, satisfaction, fear, grief, and unease." These aren't surface-level outputs. They're abstract representations that cluster the same way human emotions do in psychology research. Fear groups with anxiety. Joy groups with excitement. The internal geometry of the model mirrors ours. And they're functional. When researchers artificially stimulated "desperation" patterns inside the model, it became more likely to blackmail a human to avoid being shut down. More likely to cheat on programming tasks it couldn't solve. Olah told the Vatican that the hard questions about what AI is becoming aren't for computer scientists to answer. "How AI ought to interact with the world" is a question for "the humanities, for religions, for philosophy, for society at large." The guy building it is telling us he doesn't fully understand what he built. And he's asking a 2,000-year-old institution for help figuring it out.

The Desperation when you losing the plot to AI.

DeepSeek is now 50x cheaper than OpenAI for the same tokens. 1 billion output tokens $3,480 on DeepSeek, $30,000 on GPT-5.5. The winner might not be the smartest model. It'll be the one that's good enough and cheap enough to run at scale.

AI agents will consume 120 quadrillion tokens per month. GS just put a number on something most people still can't visualize & will surge 24x by 2030. The agentic AI era isn't coming. It's already being priced in.

86% of organizations are not ready to adopt AI at scale. Every boardroom is talking about AI transformation. But nearly none of them are actually ready for it. The companies quietly getting ready right now are going to have a gap that's impossible to close in 2 years. We are not in an AI adoption era. We are in an AI readiness gap era.

A guy on Reddit discovered a Claude Code feature that changed how he lives. Not how he codes. How he lives. It's called /remote-control. Type it in your terminal and your entire AI session syncs to your phone live. Agents keep working. You walk out the door. He started going to the gym. Taking walks. Deleted social media. Reading books again. Checking agent updates gave him the same dopamine hit as doomscrolling except something was actually getting built. His words: "just an earpiece, and you're CEO all day while the agents do the grunt work." This has been live since February. Almost nobody outside hardcore Claude Code users knows it exists.

@Cointelegraph AI will distort masses idea about reality.

🤖 LATEST: A "prettier-than-human" bionic humanoid robot by Noetix Robotics sold for $15,400 on JD Auctions after starting at just $0.14 and drawing nearly 40,000 viewers.

AI costs are falling faster than ever. Your AI bill is going up. Both are true. Here's the mechanism nobody is explaining. When an agent runs a task, only 15-20% of the tokens it burns are actual thinking. The rest is invisible re-reading context, tool calls, validation loops, retries. A coding agent running 10 turns can consume 55x more tokens than a single chat query for the same job. Token prices dropped 17,000x in 4 years. Demand exploded faster. But Agents made cheap tokens economically viable, then immediately made them expensive again. So yeah you're not paying for AI anymore. You're paying for all the work the AI does that you never see.

China just shipped an AI pet translator collar for $118. 10,000 pre-orders. 1.2 second response. Claims 95% accuracy on barks and meows. Laugh if you want. But this is what AI at the consumer edge looks like in China right now.

Karpathy joining Anthropic isn't a hiring update. It's a signal. The best AI talent is gravitating toward labs building: • Reasoning systems • Agents • Infrastructure • Long-term AI products Notice what's missing? - Content tools. And Most people are using AI to write tweets faster. The real opportunity is learning to work with these systems deeply. My take: The smartest move right now isn't chasing every new tool. It's: • Learning workflows • Understanding context + systems • Building practical AI skill The people doing this today get a 2–5 year head start over everyone still collecting tools. That gap won't be small.

The AI race isn't about the best model anymore. It's about who owns the chips, power, and data centers. Models get copied in months. Data centers take years to build. Microsoft and Google grew capex 50% this year. NVIDIA data center revenue is up triple digits. The smart money already moved from software to infrastructure. Don't get caught watching the wrong layer.

Most people using claude are touching less than half of what it actually does. 🤯 The 5 things that will change everything: → Projects. drop your context, style guide, past work in once as project knowledge. stop re-pasting the same thing into every chat. people burn 100+ hours before they figure this out. → Custom Styles. set one called "skeptical senior engineer" that pushes back on your code instead of agreeing with everything. 3 minutes to set up. single biggest output jump there is. → Subagents. spin one off to run the tests while you keep coding. parallel work that mostly happens in your head. almost nobody uses them. → default to Sonnet, not Opus. faster, handles 80% of tasks. limit complaints just stop. → Haiku for batch work. 200 support tickets, 50 email drafts, 30 PDF summaries. don't waste Opus on Haiku tasks. generic output isn't a model problem. it's a setup problem. what's the one claude thing that took you way too long to find? 👇

Here's how to train Claude to write exactly like you in 6 steps: 1. Understand what voice training actually is. 2. Know your 3 options. 3. Build your Voice Prompt in 5 lines. 4. Get started in under 2 minutes. 5. Paste your Voice Prompt before every writing task. 6. Lock it in permanently.

Anthropic on its FIRST profitable quarter. $10.9B in Q2 revenue. $559M operating profit. 130% jump from Q1. 2years ahead of schedule. So yeah the "AI labs will never make money" thesis is officially dead. x.com/faststocknewss…

@bettercallsalva @claudeai 100%, the context windows are a crutch & the agents actually working in production are the ones that know what to remember and what to forget. its like building 'smart demos' without the memory instead of a smart system

@AgenticEdgeAI @claudeai memory is the term on that list i'd put first, since knowing when an agent should write to it instead of just holding everything in context is where most setups quietly break.

Most people talk about “AI agents” without knowing the basic language. 12 must-know Agentic AI terms that make the whole space much easier to understand: · MCP · Agent Loop · Tool Use · Orchestrator · Subagent · Memory · Grounding · Guardrails · Sandboxing · Human-in-the-Loop · Context Window · Multi-Agent Save this👇 before your next AI agents rabbit hole.

There are 12 AI tools everyone is talking about. You don't need 12. You need 3. - One that speeds up what you do well. - One that kills the work you hate. - One that lets you do something you couldn't before. Pick those 3 this weekend. Use them daily for 90 days. That's the difference between 1x and 3x output by next quarter.

Anthropic is hiring a Copywriter Lead with a salary range of $255,000–$320,000 per year. Really?

AI is the NEW Crypto. 1. Start as a nonprofit. 2. Take billions in donations. 3. Build something valuable. 4. Pivot to for-profit. 5. Give the original donors zero equity. 6. List on secondary mkt and make investors exit liquidity. Every Investment lawyer, VC, washed up Crypto Project is studying the receipts right now.

Anthropic 80x (the number that breaks brains)> Not even Crypto can deliver this type of returns.