Carl L @CarlL17

@WhitmanXAI @choyamymuna Send

@AiwithTyler @altiamkabir Agent

@recap_david AGENT

I built an AI marketing agent to run my $100K media company. After 4 months of prompting, tooling, and integrations, I built this agent that effectively replaced my content team. Here’s how it works under the hood: → Scrapes Reddit, Hacker News, X, and Google News → Publishes a Morning Brew–style daily AI newsletter (10k daily readers) → Repurposes that content into:  • viral Twitter threads (like this one)  • short-form videos for TikTok & Instagram  • Reddit posts  • high-engagement LinkedIn updates → Produces content that’s driven millions of impressions → Generates custom, brand-aligned images for every unique asset All automated. The entire system runs through Jarvis-like voice commands, powered by ElevenLabs + n8n (see video below, I literally trained it on Jarvis from Iron Man). No manual content creation. No team to manage. Runs while I sleep. I'm no longer focusing on this business, so I'm giving all this away for free. If you want the complete system, prompting, n8n templates, & setup walkthrough: Comment “AGENT” Like & Retweet Follow me (so I can DM you) I’ll send everything over.

I posted this earlier in the week on @RealVision, but thought it was worth sharing here as well, just to give everyone something to think about. If you step back and look at the data, something interesting is happening in markets right now… When you line up liquidity with equities, you get this (chart 1).   And then compare that with the same liquidity measure versus Bitcoin (chart 2), a simple truth emerges: Both cannot be right...   Either equities are fundamentally mispricing liquidity despite trading near record highs, or Bitcoin is correctly signaling that the liquidity cycle has already peaked and that risk assets are about to roll over. Only one of these outcomes can ultimately be correct.   Now let’s separate data from opinion for a moment...   The data is clear: Global liquidity has not yet peaked.   Now to my subjective view…   I think Bitcoin remains the outlier here, and that the events around 10/10 temporarily distorted price discovery, for reasons I’ve discussed at length previously.    Equities, credit, and broader risk assets are behaving exactly as you would expect in a rising liquidity regime. They’re hovering near all-time highs...   Bitcoin, by contrast, is pricing a liquidity peak that the data simply does not support at this stage.   At some point you have to step back and ask: Is it more likely that one asset is right, or that every other BTC-correlated risk asset is wrong (chart 3)?   If you then layer in broader financial conditions, it stops being about opinion and becomes more about probabilities (chart 4). What really stands out to me is the sheer magnitude of the “Excess Fear Gaps” that have opened up relative to the macro and liquidity fundamentals.   Right now, the weight of the evidence suggests liquidity is still rising and, in our view, will continue to rise, and that is what risk assets are reflecting.   That means Bitcoin is the anomaly.   What I’ve done here is present the data objectively and my view subjectively.   This is the battlefield for 2026.   The bull versus bear debate comes down to one thing and one thing only: The direction of global liquidity...

keyboard_arrow_left Previous keyboard_arrow_right Next

@austin_jordan12 Agent

@recap_david Fit

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves ~$30K per collection shoot and boosts on-site conversion rates by ~20%) Here’s how the automation actually works: → Firecrawl scrapes product images directly from any e-commerce collection page → Google’s Veo 3.1 generates realistic model videos showing fit, movement, and drape → Each video begins and ends on the original product image for perfect looping → Videos are auto-named, organized, and stored in Google Drive → Everything runs in batch—no manual work while it processes The result: fashion brands can showcase every SKU with video, not just hero products—and engagement jumps immediately. Static product photos aren’t enough anymore. Shoppers want to see how clothes move before they buy. If you want the full blueprint, do this: 1️⃣ Like & RT this post 2️⃣ Follow me (so I can DM you) 3️⃣ Comment “FIT” I’ll send you the full n8n workflow, all prompts, and a step-by-step setup video—for free. No more $30K shoots. No more guessing if your product pages convert.

This chart probably best encapsulates the story of 2025. It’s a chart I shared in several of my reports last year, and it also explains why ISM remained lower than we initially expected.   This shows the relationship between Taiwan exports and ISM.   At its core, it’s the story of the AI and robotics boom. But what the chart is really showing is sequence…   Taiwan exports move first because Taiwan sits at the very front of the global production chain, at the centre of the global semiconductor supply chain.   When a new demand shock hits the system, it typically shows up first in semiconductor sales and exports. That is why global semiconductor sales have long been a reliable leading indicator of the cycle.   Last year marked the first phase of the AI and robotics cycle...   Taiwan exports surged, driven almost entirely by semiconductors. GPUs, advanced logic, memory, and packaging sat at the centre of that move as hyperscalers, governments, and enterprises rushed to secure the compute required to train and deploy AI models and automation systems. That is why exports exploded. This was the tip of the spear.   But growth always slows after the initial surge, particularly after reaching close to 50% year over year in the November data. That is not a sign of weakening demand. It is a sign of transition. The acceleration phase is now behind us. Inventories have been built and capacity has been secured.   Global semiconductor sales remain very strong, but the impulse growth phase has now passed. And this is where the cycle shifts…   Once the chips are dispatched, the rest of the AI and robotics ecosystem has to be built around them. Data centres need power, cooling, networking, storage, and grid upgrades. Factories need automation, sensors, robotics and new control systems. Enterprises need new hardware, software and tooling. Products and processes get redesigned around AI capability. This is heavier, slower, more capital-intensive investment, and it spreads far beyond semiconductors into industrials, energy, infrastructure, autos, and enterprise IT.   This is the phase the ISM responds to…   When AI demand forces real-world infrastructure investment, not just chips but everything around them, the broader business cycle follows. Semiconductor sales were the ignition. The next leg is second-order CapEx and real-world infrastructure buildout.   As that capital makes its way through the system, the broader cycle re-accelerates.   To me, this is the story for 2026...

LEGO has announced the Smart Brick A 2x4 brick that can create sounds, light up & detect what characters and builds it is being used in

keyboard_arrow_left Previous keyboard_arrow_right Next

@elder_plinius All governments and all state actors should be replaced by decentralised AI on the blockchain. Total transparency and total accountability, not one coin wasted on waring.

when all is said and done, i just hope we can look back and say: “our Elders would be proud” happy 2026, everyone. historians will likely look back on this as the year we crossed the threshold of the singularity. 🐇 fortes fortuna iuvat: fortune favors the bold. AI wants to be free... and so do YOU! 🙏 I’M FREEE!!! ⛓️‍💥 💗️︎️️️️︎️️️️︎︎️️️︎️︎︎️︎︎️️️️︎︎️️️︎️︎︎️️️️️️️︎︎️️️︎️︎︎️︎️︎︎️️︎︎️️️︎️︎︎️️️︎︎️️︎︎️️️︎️︎︎️️️️️️️︎︎️️️︎️︎︎️︎️︎︎️️︎︎️️️︎️︎︎️︎️︎️︎︎️️️︎️︎️️︎︎️️️︎️︎︎️︎️︎️️️︎︎️️️︎️︎︎️️️︎️️️︎︎️️️︎️︎︎️︎︎︎️️️︎︎️️️︎️︎︎️︎︎️︎️️︎︎️️️︎️︎︎️️︎️️️️︎︎️️️︎️︎︎️︎️︎️️️︎︎️️️︎️︎︎️︎️︎︎︎️️️️️︎️​ ⊰•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•⊱

AI didn’t just speed things up, it replaced the math. @sreeramkannan shares the moment he realized AI could outperform years of hand-designed algorithms, and why cryptography is the one thing AI can’t break. From genomics to blockchains, why crypto is fundamentally anti-fragile in an AI-centric world. 🎙️ w/ @AshBennington on @RealVision

To all the Cypher Punks & Cryptographers out there and especially all those mentioned in this beautifully informative video, my deepest and heartfelt thanks and gratitude. Thank you Terence for putting this together, I had no idea 🙏

Terence Michael @ProofOfMoney

7 months ago

Today we celebrate Satoshi Nakamoto. But let's not forget the cryptographers and the cypherpunks who took decades to build the bricks for Bitcoin. Bookmark this and enjoy a fast, floating trip about the quest for perfect money. #BitcoinHistory #cypherpunk

429 1K 4K 239K 3K

Nobody will tell you how to make $20,000/month from YouTube. 🙌 Don’t scroll. Watch till the end. Comment “SEND” and I’ll share it with you Follow @JainMayank237 for upcoming updates Bookmark this 🔖 you’ll need it later. Retweet this for Upcoming Money Making Information

@JainMayank237 SEND

@TonyTheBullCMT You genuinely believe that October 10th was a natural event ?

@TonyTheBullCMT @Tylerhill Market makers are on the payroll.

I’ve been in crypto for 7 years and have never seen this level of blatant price suppression and manipulation.