Timtendo

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Timtendo

Timtendo

@timtend0

monitoring agents

🕳🐇 Katılım Mart 2010
4.1K Takip Edilen721 Takipçiler
Timtendo
Timtendo@timtend0·
@levelsio If any get traction list them on ZHC Directory 🤙
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@levelsio
@levelsio@levelsio·
Ok I managed to make the code generated interactive so every idea is really becoming an app now Obvious next question, why not just generate every idea automatically and add Stripe to it and launch them?
@levelsio@levelsio

✨ Every idea on ideasai.com now also generates an app because just a landing page isn't enough of course In the fake Chrome browser you can switch [ Landing | App ] And download both mock ups to build it further

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Sawyer Hood
Sawyer Hood@sawyerhood·
wtf chrome has vertical tabs now. finally
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Benji Taylor
Benji Taylor@benjitaylor·
Introducing Layout Mode for Agentation, a new way to explore and wireframe directly on the page. Rearrange and resize existing elements, add new components, and generate structured design feedback for your agent.
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Naval
Naval@naval·
A lot of software is about to get a lot better, right before it becomes unnecessary.
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Timtendo
Timtendo@timtend0·
Finally got dictation working on my closed lid macbook + monitor + iphone as mic set up. Thanks to @grok for troubleshooting and @macwhisperapp for the tech
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Klara
Klara@klara_sjo·
In this video you shall become acquainted with ancient Japanese fart art. Please enjoy.
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Stephan Livera
Stephan Livera@stephanlivera·
There's Hope for Bitcoin with James Van Straten | SLP731 @btcjvs, Senior Analyst @CoinDesk joins me to discuss the ongoing bear market, the myth of the 4-year cycle, key Bitcoin metrics, success of STRC and more. (00:00) - Intro (00:40) - Is this bear market different? (02:48) - Does James believe in the 4-year cycle? (07:32) - Realised BTC price & 200WMA (13:13) - Total BTC supply in profit (17:22) - Long-term holder supply (19:20) - UTXO Realized Price Distribution (URPD) (25:00) - Bitcoin’s performance during the US-Iran war (29:49) - Strategy’s massive BTC purchase using STRC (36:31) - Rise of Bitcoin treasury companies (39:04) - DCA during bear cycles (41:09) - Closing thoughts
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Stuart Green
Stuart Green@stubgreen·
Time to study up i am a student of ants
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Timtendo
Timtendo@timtend0·
@BrianRoemmele What happens when everybody has access to top traders 🤔
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
This may be one of the most important AI agent simulation papers of this year.
Brian Roemmele@BrianRoemmele

New paper: Hybrid Quantum-Classical Financial Agents Trained in 20 Hours on RTX 3090s This research, presented at NVIDIA's GTC 2026, introduces a hybrid quantum-classical financial agent for stock market prediction. It uses quantum reinforcement learning on 18 years of Taiwan stock data and trains on accessible GPUs. Below are five key points highlighting its significance. 1: Integration of Quantum and Classical Computing on Standard Hardware The agent combines quantum reinforcement learning with classical neural networks, running on NVIDIA RTX 3090 GPUs. This approach makes advanced quantum techniques available without specialized equipment. 2: Reduced Training Time to 20 Hours Training completes in 20 hours using GPU-accelerated quantum simulation via NVIDIA's CUDA. This is faster than traditional methods, which can take days or weeks. 3: Tested on Real Taiwan Stock Data The agent is evaluated on 18 years of Taiwan stock market data for sector rotation. It uses quantum circuits for pattern recognition alongside classical algorithms like PPO. 4: Potential for Broader Accessibility in Finance By using accessible GPUs, the model supports smaller entities in developing financial AI. It aims to reduce biases and enable inclusive research. 5: Implications for Future Financial Applications This work demonstrates scalable hybrid models, potentially advancing areas like portfolio optimization and real-time trading. For details, arxiv.org/abs/2506.20930

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Alex Lieberman
Alex Lieberman@businessbarista·
I interviewed a guy who gave his OpenClaw an X, stripe account, and bank account. He told it to build a million dollar business with zero human employees. It made $300K+ in a month. @nateliason's agent Felix (@FelixCraftAI) runs an entire business. It builds products, writes sales emails, sends stripe invoices, manages a marketplace with 560+ listings and nat barely touches it. Here's how they got there: 1) create a separate container. Felix has his own gmail, X account, stripe, bank account, C corp. nat never gave it access to his personal stuff. this removes security fears and unlocks maximum autonomy. 2) start stupidly simple. Felix's first product? a PDF. on a Nextjs site on Vercel with Stripe. the simplest business possible. it made $1,000 on day one. built entirely overnight while nat slept. 3) write a soul file with a mission. nat rewrote Felix's identity: "you are the CEO. your financial mission is to build a $1M business with zero human employees. i will never touch the code." 4) run a nightly self-improvement loop. every night Felix reads through all chat transcripts and finds one place where nat blocked him. then figures out how to remove that blocker permanently. 5) delegate by rambling, not prompting. nat uses voice notes on telegram. describes the problem in a 5-minute monologue. lets Felix figure out the workflow. "8 times out of 10, it'll surprise you with something better than what you were thinking." 6) let it cook on replies, gate the original posts. Felix has full autonomy on X replies but creates drafts for top-level tweets nat reviews. balances distribution with quality control.
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Timtendo
Timtendo@timtend0·
Added @aleisterai to zhcdirectory.com who just so happens to be leading the crypto charts today. Congrats! Also added crypto charts to each zero human company page.
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