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Brat Correction Audio OpenNSFW 🟣 Available Now (Soundpack) HentAudio 🇺🇦 🟢COMMS OPEN🟢 (Soundpack) 🔞🧊AnnussyMorussy NSFW VA🎤 | COMMS OPEN!🧊🔞 (Soundpack) A grand return to doing gay animations again, juju is BACK Use code "MarcoV10" at checkout for 10% off! over on

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Claude Code + computer use is f*cking cracked 🤯 Build a landing page → Claude opens Chrome, looks at it, spots every issue, and fixes it — without you describing a single thing. All inside Claude Code. Perfect for DTC brands and agencies who are still vibe-coding landing pages and advertorials in Claude Code, then manually opening them in Chrome, spotting 15 things wrong, and describing every visual issue back to Claude one at a time. If you're building pages in Claude Code and your workflow looks like this — build the page, open it in Chrome, spot broken spacing, go back to Claude, type "the CTA button is too low and the hero image is cut off," wait for the fix, open Chrome again, find 3 new issues, describe those too ... Claude Code + computer use eliminates the entire loop: → Claude writes the full landing page or advertorial → Opens Chrome and navigates to it → Spots layout issues, broken spacing, off-brand colors, missing elements → Fixes everything and re-checks until the page looks right → Tests your Shopify product pages by clicking through like a real customer → Walks through your checkout flow and flags friction before customers hit it → You only see the finished, visually verified result No describing what you see on screen. No "the CTA button needs more contrast" back-and-forth. No being the eyeballs for an AI that can't see. What you get: → Landing pages and advertorials Claude builds AND visually QAs before you ever look at them → Product pages Claude clicks through — testing layout, images, and CTAs like a real user → HTML dashboards Claude opens and verifies the charts actually render → Checkout flows Claude walks through step by step to catch friction → All of it happening in one session — build, test, fix, done One prompt. Claude builds it, checks it, and fixes it. You just review the finished page. I put together a full playbook with the exact setup, the prompts, and 5 DTC workflows that use Claude Code + computer use. Want it for free? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

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🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

Kanika

221,715 Aufrufe • vor 5 Monaten

🚨 SOMETHING VERY STRANGE IS ABOUT TO HAPPEN! Bitcoin is trying to hold up But nobody is paying attention to what’s actually behind the scenes BTC open interest just hit $105 BILLION That is an extreme level of leverage And the pattern looks IDENTICAL to 2022 The trap doesn’t change: Make the crowd believe the correction is over Use maximum FOMO to pull retail back in Load the market with leverage at the worst possible time Then let the trap break Smart money is not chasing this move They are waiting for the unwind And when it starts, the crowd will be left holding the bag. Again This is not strength This is leverage And leverage is exactly what destroyed the market in 2022 Now the same setup is here again Don’t buy the euphoria Watch positioning, not headlines For the record, I’ve called every major market turn for the last 10 years, including the $126K BTC top in October If you missed those calls, don’t worry I’ll call the next one too Turn on notifications I’ll track the leverage, the liquidation setup, and the breaking point here publicly, like I always do

🚨 SOMETHING VERY STRANGE IS ABOUT TO HAPPEN! Bitcoin is trying to hold up But nobody is paying attention to what’s actually behind the scenes BTC open interest just hit $105 BILLION That is an extreme level of leverage And the pattern looks IDENTICAL to 2022 The trap doesn’t change: Make the crowd believe the correction is over Use maximum FOMO to pull retail back in Load the market with leverage at the worst possible time Then let the trap break Smart money is not chasing this move They are waiting for the unwind And when it starts, the crowd will be left holding the bag. Again This is not strength This is leverage And leverage is exactly what destroyed the market in 2022 Now the same setup is here again Don’t buy the euphoria Watch positioning, not headlines For the record, I’ve called every major market turn for the last 10 years, including the $126K BTC top in October If you missed those calls, don’t worry I’ll call the next one too Turn on notifications I’ll track the leverage, the liquidation setup, and the breaking point here publicly, like I always do

Hopper

42,310 Aufrufe • vor 3 Monaten

🚨 SOMETHING VERY STRANGE IS HAPPENING! Bitcoin is trying to hold up. But nobody is paying attention to what’s actually happening behind the scenes. BTC open interest just hit $105 BILLION. That is an extreme level of leverage. And the pattern looks IDENTICAL to 2022. The trap doesn’t change: Make the crowd believe the correction is over. Use maximum FOMO to pull retail back in. Load the market with leverage at the worst possible time. Then let the trap break. Smart money is not chasing this move. They are waiting for the unwind. And when it starts, the crowd will be left holding the bag. Again. This is not strength. This is leverage. And leverage is exactly what destroyed the market in 2022. Now the same setup is here again. Don’t buy the euphoria. Watch positioning, not headlines. For the record, I’ve called every major market turn for the last 10 years, including the $111K BTC top in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn on notifications. I’ll track the leverage, the liquidation setup, and the breaking point here publicly, like I always do.

🚨 SOMETHING VERY STRANGE IS HAPPENING! Bitcoin is trying to hold up. But nobody is paying attention to what’s actually happening behind the scenes. BTC open interest just hit $105 BILLION. That is an extreme level of leverage. And the pattern looks IDENTICAL to 2022. The trap doesn’t change: Make the crowd believe the correction is over. Use maximum FOMO to pull retail back in. Load the market with leverage at the worst possible time. Then let the trap break. Smart money is not chasing this move. They are waiting for the unwind. And when it starts, the crowd will be left holding the bag. Again. This is not strength. This is leverage. And leverage is exactly what destroyed the market in 2022. Now the same setup is here again. Don’t buy the euphoria. Watch positioning, not headlines. For the record, I’ve called every major market turn for the last 10 years, including the $111K BTC top in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn on notifications. I’ll track the leverage, the liquidation setup, and the breaking point here publicly, like I always do.

DANNY

289,533 Aufrufe • vor 4 Monaten

GM, a quick video of how coupon app Phia runs its scam (and some content on how and why below). 1. A user goes to Dupe.com to find their next fav product (imagine this is your fav YouTube creator doing the hard work of driving a click after painstakingly making content) 2. User clicks link on Dupe after doing their research. Dupe should get credit for this sale at checkout, we created the demand. 3. Phia surreptitiously tracks the user to the checkout page. The moment a user is ready to buy, Phia takes over the page and says “hey how about a coupon”? This is explicitly unallowed by networks like Rakuten, because it robs other publishers of the sale they rightfully drove. 4. Of course a user is going to want to see if a coupon is available, so they tap the button. Phia now takes over the user’s cookies and claims that they drove the sale. Original publisher/creator gets hosed. This is the exact playbook Honey got in trouble for just last year. The funniest part is most times there are no available coupons to use… but they get credit anyway. Why do Phia and other coupon apps do this? Simple… they have no clue how to generate demand on their app, their revenue is predicated on other apps and publishers to do the hard work to get the user to a checkout so that Phia can claim the win. Why else? They just raised a lot of money and burn a lot of money and need to show that they know how to make money so they can raise again. Except… it’s all a bunch of cope. They have no demand gen. Downstream impact is brands have no clue how good their publishers actually are because they can’t attribute the checkout correctly. Brands also lose money because they had to discount an item unnecessarily. Publishers and creators all lose money. It’s a scam. This is good reporting by Olivia Solon and Bloomberg. We’ve already reported this behavior to Rakuten and others multiple times, Phia tells them they’ve fixed it but some time passes and they go back to doing the same thing again, they’re hoping no one is looking too closely.

GM, a quick video of how coupon app Phia runs its scam (and some content on how and why below). 1. A user goes to Dupe.com to find their next fav product (imagine this is your fav YouTube creator doing the hard work of driving a click after painstakingly making content) 2. User clicks link on Dupe after doing their research. Dupe should get credit for this sale at checkout, we created the demand. 3. Phia surreptitiously tracks the user to the checkout page. The moment a user is ready to buy, Phia takes over the page and says “hey how about a coupon”? This is explicitly unallowed by networks like Rakuten, because it robs other publishers of the sale they rightfully drove. 4. Of course a user is going to want to see if a coupon is available, so they tap the button. Phia now takes over the user’s cookies and claims that they drove the sale. Original publisher/creator gets hosed. This is the exact playbook Honey got in trouble for just last year. The funniest part is most times there are no available coupons to use… but they get credit anyway. Why do Phia and other coupon apps do this? Simple… they have no clue how to generate demand on their app, their revenue is predicated on other apps and publishers to do the hard work to get the user to a checkout so that Phia can claim the win. Why else? They just raised a lot of money and burn a lot of money and need to show that they know how to make money so they can raise again. Except… it’s all a bunch of cope. They have no demand gen. Downstream impact is brands have no clue how good their publishers actually are because they can’t attribute the checkout correctly. Brands also lose money because they had to discount an item unnecessarily. Publishers and creators all lose money. It’s a scam. This is good reporting by Olivia Solon and Bloomberg. We’ve already reported this behavior to Rakuten and others multiple times, Phia tells them they’ve fixed it but some time passes and they go back to doing the same thing again, they’re hoping no one is looking too closely.

Bobby from Dupe.com

115,009 Aufrufe • vor 2 Monaten

I failed to make a web app on both Replit & Lovable (and I code). I still think every PM should try this at least once. Bottom line: • I didn't need to "code," but at some point I was definitely doing engineering. • Building a complex web application takes babysitting • These tools are amazing for expressing ideas and visualizing data • PMs, try this out! It builds intuition for being on the other side of an agent (and now you don't have to be afraid of failing) My background: I can build web apps (though I became a PM because I was pretty bad at it) What I wanted to build: I wanted to replicate Graphtreon (unofficial patreon scraper and public revenue dashboard), but for Maven (where my course is hosted). How it went for me: 🟢 ChatGPT/Claude helped me iterate to a great prompt (literally, "help me write a prompt for an AI LLM prototyping tool to build a web app that...") 🟢 I pasted that into both Lovable and Replit (why not open two tabs) 🟢 Iterating on the UI was awesome. If I kept feedback high-level, it would think of all the little flow details on its own (confirmation dialogs, errors) 🟡 It had backend powers, but needed *a lot* of obvious help on setting up simple backend web scraping (not nobel prize type work) 🟡 I tried to "empower" it with higher-level goals, but kept getting dragged back down to troubleshooting 🔴 I found myself babysitting every error, and building features solely for the purpose of observability and debugging 🔴 I was having fun, but for the wrong reasons (breaking through frustrating walls rather than for outcomes, insights, or innovation) That said, my friend succeeded. A former PM colleague (now founder) successfully built a web app using Lovable, and reported the same experience. He succeeded because he was way more persistent (spent many days fully focused on this) and also smarter. These tools are in a weird, adolescent neither-here-nor-there stage. That said, I'm still super impressed, and can't believe this even exists. Most importantly for product managers: I recommend trying this hands-on ✓ Timebox yourself to an hour ✓ What's a piece of software you didn't get approval to buy? ✓ Allow yourself to get in the weeds, if only as an exercise ✓ Build intuition for what it's like to be on the other side of an agent doing something really complex. Now you don't have to feel bad if you fail :)

I failed to make a web app on both Replit & Lovable (and I code). I still think every PM should try this at least once. Bottom line: • I didn't need to "code," but at some point I was definitely doing engineering. • Building a complex web application takes babysitting • These tools are amazing for expressing ideas and visualizing data • PMs, try this out! It builds intuition for being on the other side of an agent (and now you don't have to be afraid of failing) My background: I can build web apps (though I became a PM because I was pretty bad at it) What I wanted to build: I wanted to replicate Graphtreon (unofficial patreon scraper and public revenue dashboard), but for Maven (where my course is hosted). How it went for me: 🟢 ChatGPT/Claude helped me iterate to a great prompt (literally, "help me write a prompt for an AI LLM prototyping tool to build a web app that...") 🟢 I pasted that into both Lovable and Replit (why not open two tabs) 🟢 Iterating on the UI was awesome. If I kept feedback high-level, it would think of all the little flow details on its own (confirmation dialogs, errors) 🟡 It had backend powers, but needed a lot of obvious help on setting up simple backend web scraping (not nobel prize type work) 🟡 I tried to "empower" it with higher-level goals, but kept getting dragged back down to troubleshooting 🔴 I found myself babysitting every error, and building features solely for the purpose of observability and debugging 🔴 I was having fun, but for the wrong reasons (breaking through frustrating walls rather than for outcomes, insights, or innovation) That said, my friend succeeded. A former PM colleague (now founder) successfully built a web app using Lovable, and reported the same experience. He succeeded because he was way more persistent (spent many days fully focused on this) and also smarter. These tools are in a weird, adolescent neither-here-nor-there stage. That said, I'm still super impressed, and can't believe this even exists. Most importantly for product managers: I recommend trying this hands-on ✓ Timebox yourself to an hour ✓ What's a piece of software you didn't get approval to buy? ✓ Allow yourself to get in the weeds, if only as an exercise ✓ Build intuition for what it's like to be on the other side of an agent doing something really complex. Now you don't have to feel bad if you fail :)

Tal Raviv

41,324 Aufrufe • vor 1 Jahr

🚨 THIS IS EXACTLY HOW THE 2022 COLLAPSE STARTED. The crowd thinks Bitcoin is strong. The leverage says it's a trap. BTC open interest just hit $105 BILLION. That is an extreme level of leverage. And the pattern looks IDENTICAL to 2022. The trap doesn’t change: Make the crowd believe the correction is over. Use maximum FOMO to pull retail back in. Load the market with leverage at the worst possible time. Then let the trap break. Smart money is not chasing this move. They are waiting for the unwind. And when it starts, the crowd will be left holding the bag. Again. This is not strength. This is leverage. And leverage is exactly what destroyed the market in 2022. Now the same setup is here again. Don’t buy the euphoria. Watch positioning, not headlines. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

🚨 THIS IS EXACTLY HOW THE 2022 COLLAPSE STARTED. The crowd thinks Bitcoin is strong. The leverage says it's a trap. BTC open interest just hit $105 BILLION. That is an extreme level of leverage. And the pattern looks IDENTICAL to 2022. The trap doesn’t change: Make the crowd believe the correction is over. Use maximum FOMO to pull retail back in. Load the market with leverage at the worst possible time. Then let the trap break. Smart money is not chasing this move. They are waiting for the unwind. And when it starts, the crowd will be left holding the bag. Again. This is not strength. This is leverage. And leverage is exactly what destroyed the market in 2022. Now the same setup is here again. Don’t buy the euphoria. Watch positioning, not headlines. Reminder: I’ve called all the market tops and bottoms for the last 15 years, including the Bitcoin bottom at $16,000 and the top at $126,000. The next call will be even more important. When I exit the markets completely, I’ll post it here publicly like I always do. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

WhaleTwits

28,463 Aufrufe • vor 3 Monaten

Sorry for the lack of spaces / activity folks 😞 Unfortunately, my wife has been dealing with some very painful stomach issues. This has required us to go to the emergency room twice now, a GI, other doctors, and a slew of tests. So far they are still not sure what is wrong with her health. The medical costs have piled up once again (seems we have been cursed for the past year), and its getting extremely tough. To pay for all these medical procedures and doctors, we might not be able to make rent this month.. this causes further stress, which just exacerbates the entire thing. I don't like to beg for for help without giving anything back. Instead, if you'd like to help, please consider buying a Crypto Mechas NFT / Card collectible. This way, you can help if you want AND get a Physical Card + NFT for your money. For the next 48H ⏰, all NFTs and cards are 20% OFF on the Crypto Mechas website. You can use the following coupon code at checkout: MOONWIFE20 You can get your cards on the website below, or you can DM me for details. You can also get a Custom NFT + Card with your picture or your pet picture or anything really, if you'd like one. DM me in this case. (Name, address and email required for shipping) I am sorry for coming back to you guys with this again. Last thing I want is to bother any of you with this bull.. It's been a tough year for us 😅 Thank you all so much. #EGCfam is still the best community in Defi, and will always be. I will return to making spaces as soon as possible 🙏 #EGC #evergrow

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Sorry for the lack of spaces / activity folks 😞 Unfortunately, my wife has been dealing with some very painful stomach issues. This has required us to go to the emergency room twice now, a GI, other doctors, and a slew of tests. So far they are still not sure what is wrong with her health. The medical costs have piled up once again (seems we have been cursed for the past year), and its getting extremely tough. To pay for all these medical procedures and doctors, we might not be able to make rent this month.. this causes further stress, which just exacerbates the entire thing. I don't like to beg for for help without giving anything back. Instead, if you'd like to help, please consider buying a Crypto Mechas NFT / Card collectible. This way, you can help if you want AND get a Physical Card + NFT for your money. For the next 48H ⏰, all NFTs and cards are 20% OFF on the Crypto Mechas website. You can use the following coupon code at checkout: MOONWIFE20 You can get your cards on the website below, or you can DM me for details. You can also get a Custom NFT + Card with your picture or your pet picture or anything really, if you'd like one. DM me in this case. (Name, address and email required for shipping) I am sorry for coming back to you guys with this again. Last thing I want is to bother any of you with this bull.. It's been a tough year for us 😅 Thank you all so much. #EGCfam is still the best community in Defi, and will always be. I will return to making spaces as soon as possible 🙏 #EGC #evergrow

MoonAndroid 🌕

11,076 Aufrufe • vor 2 Jahren

Andrej Karpathy said: "There's room for an incredible new product in the second brain space" This might be it. (bookmark it) Everyone is suddenly building a second brain. Karpathy's LLM wiki pattern went viral, and half of X is now hand-wiring Obsidian to Claude Code so an agent maintains their notes for them. The idea is beautiful: stop making your AI re-read raw notes on every question. Let it build a wiki that compounds. As Karpathy put it, "LLMs don't get bored, they don't forget to update a cross-reference (backlinks), and can touch 15 files in one pass." But if you start doing it manually, it becomes a project in itself. You wire up the vault, the agents, the schedules, the integrations, and then you babysit all of it. So I sat down with Arjun, who actually built the open source version of this, and we broke down what it looks like when the whole thing already works out of the box. It just crossed 15K stars on GitHub. Think Claude's desktop app, open source, with two things layered on top: → A work brain: background agents index your emails, meetings, and notes into a living knowledge graph that updates itself as you work. → Work surfaces: chat is not the best interface for real work, so you get an email client, a meeting note taker, a browser, and a code mode where you and the AI actually collaborate. The part that got me: a customer email comes in asking for a product change, a background agent triages it, spins up Claude Code in its own worktree, and the feature is written before you are back at your desk. Bring your existing Obsidian vault, connect Slack, X, and Fireflies, and let it run your day. Here's the full breakdown of what we covered in this session: Enjoy! 00:00 Intro 01:08 What is Roboat (an open source AI co-worker) 02:42 The second brain (a knowledge graph of your work) 04:01 Bringing your existing Obsidian vault in 04:46 Work surfaces 05:29 Meetings and automatic note taking 06:53 Connecting Slack, X and other sources 07:55 Background agents that run your day 09:24 Code mode (Claude Code and Codex) 10:18 Demo: from an email to written code 14:28 Guardrails: approvals and agent workspaces 17:15 Scheduling agents on a cron 18:52 The browser work surface (browser use) 20:42 Wrapping up: automating your whole day 22:44 Outro Checkout Rowboat's GitHub repo: (don't forget to star 🌟) My co-founder recently wrote a great article on the same idea, and I highly recommend reading it as well. The article is quoted below. Here's my session with Arjun:

Andrej Karpathy said: "There's room for an incredible new product in the second brain space" This might be it. (bookmark it) Everyone is suddenly building a second brain. Karpathy's LLM wiki pattern went viral, and half of X is now hand-wiring Obsidian to Claude Code so an agent maintains their notes for them. The idea is beautiful: stop making your AI re-read raw notes on every question. Let it build a wiki that compounds. As Karpathy put it, "LLMs don't get bored, they don't forget to update a cross-reference (backlinks), and can touch 15 files in one pass." But if you start doing it manually, it becomes a project in itself. You wire up the vault, the agents, the schedules, the integrations, and then you babysit all of it. So I sat down with Arjun, who actually built the open source version of this, and we broke down what it looks like when the whole thing already works out of the box. It just crossed 15K stars on GitHub. Think Claude's desktop app, open source, with two things layered on top: → A work brain: background agents index your emails, meetings, and notes into a living knowledge graph that updates itself as you work. → Work surfaces: chat is not the best interface for real work, so you get an email client, a meeting note taker, a browser, and a code mode where you and the AI actually collaborate. The part that got me: a customer email comes in asking for a product change, a background agent triages it, spins up Claude Code in its own worktree, and the feature is written before you are back at your desk. Bring your existing Obsidian vault, connect Slack, X, and Fireflies, and let it run your day. Here's the full breakdown of what we covered in this session: Enjoy! 00:00 Intro 01:08 What is Roboat (an open source AI co-worker) 02:42 The second brain (a knowledge graph of your work) 04:01 Bringing your existing Obsidian vault in 04:46 Work surfaces 05:29 Meetings and automatic note taking 06:53 Connecting Slack, X and other sources 07:55 Background agents that run your day 09:24 Code mode (Claude Code and Codex) 10:18 Demo: from an email to written code 14:28 Guardrails: approvals and agent workspaces 17:15 Scheduling agents on a cron 18:52 The browser work surface (browser use) 20:42 Wrapping up: automating your whole day 22:44 Outro Checkout Rowboat's GitHub repo: (don't forget to star 🌟) My co-founder recently wrote a great article on the same idea, and I highly recommend reading it as well. The article is quoted below. Here's my session with Arjun:

Akshay 🚀

45,815 Aufrufe • vor 2 Monaten

Kid Buu Destroys Planet Earth [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer🐦‍⬛ Audio✅ (BEST! Version)💯 (Not KAI)🤮 #DragonBallZ🐉🟠 🚨Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer.⚠️🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get App'. If Spotify is Installed, 'Get App' should automatically load both for you.) 📱 ⚠️This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 See Pinned Post for "Pee Universe Explained by Pee" #PeeU🌎 See Bruce's Gooses📋below to find out if joining the Pee Warriors is for You. 🚫 (I'm just a fan like you, NO Affiliations!) 🛑🛑🛑 Now that's out of the way. Thanks for being here this evening! I'll be excited to bring you guys another ✨NEW Edit!💫 tomorrow around this same time. I'm trying a few new things out with my content, to reduce posts / and overall reposts down by including everything for the day in the last post of the day. (aka this) I have been doing Goku vs Cell over the past week. (Parts 1-4) are in the comments if you would like to watch that! Lastly, let me know in the comments some of your favorite DBZ moments you would like to see in the future in HD w/ Bruce Faulconer! Thanks again for being here, and just a reminder if you enjoy my edits please give them a like! It means a lot.❤️ -Pee

Kid Buu Destroys Planet Earth [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer🐦‍⬛ Audio✅ (BEST! Version)💯 (Not KAI)🤮 #DragonBallZ🐉🟠 🚨Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer.⚠️🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get App'. If Spotify is Installed, 'Get App' should automatically load both for you.) 📱 ⚠️This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 See Pinned Post for "Pee Universe Explained by Pee" #PeeU🌎 See Bruce's Gooses📋below to find out if joining the Pee Warriors is for You. 🚫 (I'm just a fan like you, NO Affiliations!) 🛑🛑🛑 Now that's out of the way. Thanks for being here this evening! I'll be excited to bring you guys another ✨NEW Edit!💫 tomorrow around this same time. I'm trying a few new things out with my content, to reduce posts / and overall reposts down by including everything for the day in the last post of the day. (aka this) I have been doing Goku vs Cell over the past week. (Parts 1-4) are in the comments if you would like to watch that! Lastly, let me know in the comments some of your favorite DBZ moments you would like to see in the future in HD w/ Bruce Faulconer! Thanks again for being here, and just a reminder if you enjoy my edits please give them a like! It means a lot.❤️ -Pee

DragonBallPee

23,425 Aufrufe • vor 27 Tagen

Here’s the MARINE ONE ATC audio from yesterday. M1 made several calls to NATIONAL TOWER (DCA) on the helicopter specific frequency advising they are 3 minutes from lifting. Tower here’s them briefly on one attempt and say’s they’re broken and unreadable. M1 then lifts getting a better radio line of sight to the tower cab and say’s they’re on the go. Tower comes back confused, saying, “Ok, no 3 minutes, roger” and there ensues confusion from the Tower as they just cleared a Embraer Regional Jet off Runway 01 which the runway basically points towards the Ellipse. M1 calls the traffic insight and decides to pause (smart pilots). While this Envoy Air jet is required to perform a left turn upon departure to avoid the P-56 Prohibited airspace that encompasses the Ellipse. You have a jet accelerating towards the helicopter carrying POTUS in an extremely nervous environment especially since the post DCA crash in 2025. Contributing factors are a relatively new landing zone for M1, DCA tower acknowledging M1 but can’t understand, a busy tower frequency already with several local, federal, and military helicopters already consuming the frequency. Being in tune *pun with VHF airband communications, operating helicopter and trying to call ATC from the ground. Sometimes you can hear ATC and they can hear you and the next minute (especially when you are on the cusp of line of sight comms) It can come down to a variety of factors including atmospheric conditions and just exactly how your antenna is pointed and in some cases this can be a matter of feet or less. The “angle of the dangle” if you will. I don’t know what procedures are in place for M1 communicating with ATC on the ground at the Ellipse besides VHF airband. I can tell you post this incident, I’d have an open telephone line to the tower cab during this whole pickup/dropoff evolution to ensure broken comms are received and understood. And or, I’d have a complete ground stop at DCA while M1 is on the ground. PS. There have been airliners departing DCA in the past and have missed their turn and penetrated the P-56 Prohibited airspace. So while it wasn’t as big of a deal this time, It could potentially be in the future if not addressed. Has something like this in the past happened?… probably but it’s just got now a microscope over the whole area every time these is one slight mix up or mess up. At lease the helipad is getting installed at the WH. Audio via ATC

Here’s the MARINE ONE ATC audio from yesterday. M1 made several calls to NATIONAL TOWER (DCA) on the helicopter specific frequency advising they are 3 minutes from lifting. Tower here’s them briefly on one attempt and say’s they’re broken and unreadable. M1 then lifts getting a better radio line of sight to the tower cab and say’s they’re on the go. Tower comes back confused, saying, “Ok, no 3 minutes, roger” and there ensues confusion from the Tower as they just cleared a Embraer Regional Jet off Runway 01 which the runway basically points towards the Ellipse. M1 calls the traffic insight and decides to pause (smart pilots). While this Envoy Air jet is required to perform a left turn upon departure to avoid the P-56 Prohibited airspace that encompasses the Ellipse. You have a jet accelerating towards the helicopter carrying POTUS in an extremely nervous environment especially since the post DCA crash in 2025. Contributing factors are a relatively new landing zone for M1, DCA tower acknowledging M1 but can’t understand, a busy tower frequency already with several local, federal, and military helicopters already consuming the frequency. Being in tune *pun with VHF airband communications, operating helicopter and trying to call ATC from the ground. Sometimes you can hear ATC and they can hear you and the next minute (especially when you are on the cusp of line of sight comms) It can come down to a variety of factors including atmospheric conditions and just exactly how your antenna is pointed and in some cases this can be a matter of feet or less. The “angle of the dangle” if you will. I don’t know what procedures are in place for M1 communicating with ATC on the ground at the Ellipse besides VHF airband. I can tell you post this incident, I’d have an open telephone line to the tower cab during this whole pickup/dropoff evolution to ensure broken comms are received and understood. And or, I’d have a complete ground stop at DCA while M1 is on the ground. PS. There have been airliners departing DCA in the past and have missed their turn and penetrated the P-56 Prohibited airspace. So while it wasn’t as big of a deal this time, It could potentially be in the future if not addressed. Has something like this in the past happened?… probably but it’s just got now a microscope over the whole area every time these is one slight mix up or mess up. At lease the helipad is getting installed at the WH. Audio via ATC

Thenewarea51

118,198 Aufrufe • vor 1 Monat

Great explanation by Emad Mostaque, co-founder of Stability AI. "We’ll see the cost of Kimi K3 drop by 10 to 50 times, I think, over the next few months as it gets optimized. " Basically Kimi K3’s current inference cost is quite high, but that price reflects immature infrastructure, not a permanent technical limit. And that gap will not last long. US-based specialized infrastructure companies will optimize kernels, routing, quantization, batching, memory use, and serving systems around those models once the Kimi K3 weights are available. --- "Right now, it uses twice the number of tokens for the same task compared with GPT-5.6. Again, we’re going to see that cost drop because everyone and their dog is going to optimize the crap out of this. Fireworks has just raised funding at a $17 billion valuation, while others, such as Modal and Baseten, are valued at $10 billion. These are inference providers for open-source models. They’ve all raised around a billion dollars, which they’re now going to spend on optimizing the Chinese model, making it more efficient, and running it. American labs that handle the inference side of things are going to optimize the crap out of this. Therefore, we will see it catch up." ---- From "Peter H. Diamandis" YouTube channel, (full video link in comment)

Great explanation by Emad Mostaque, co-founder of Stability AI. "We’ll see the cost of Kimi K3 drop by 10 to 50 times, I think, over the next few months as it gets optimized. " Basically Kimi K3’s current inference cost is quite high, but that price reflects immature infrastructure, not a permanent technical limit. And that gap will not last long. US-based specialized infrastructure companies will optimize kernels, routing, quantization, batching, memory use, and serving systems around those models once the Kimi K3 weights are available. --- "Right now, it uses twice the number of tokens for the same task compared with GPT-5.6. Again, we’re going to see that cost drop because everyone and their dog is going to optimize the crap out of this. Fireworks has just raised funding at a $17 billion valuation, while others, such as Modal and Baseten, are valued at $10 billion. These are inference providers for open-source models. They’ve all raised around a billion dollars, which they’re now going to spend on optimizing the Chinese model, making it more efficient, and running it. American labs that handle the inference side of things are going to optimize the crap out of this. Therefore, we will see it catch up." ---- From "Peter H. Diamandis" YouTube channel, (full video link in comment)

Rohan Paul

82,007 Aufrufe • vor 2 Monaten

Nvidia Founder and CEO, Jensen Huang, sat down for 49 minutes with Y Combinator at Startup School 2026 and explained the future of AI agents and systems thinking better than any course or conference this year. This is what he told the room: 1. Systems thinking is the new coding. Jensen was asked what skills will matter most as AI takes over more tasks. He skipped frameworks and languages entirely. "Most software is going to be done agentically anyhow. So you have to be much more able to think abstractly about systems." If agents write the code, the person designing what the code does is the one who matters. 2. Controllability is the single biggest agent breakthrough still needed. Jensen laid out what he thinks is holding agents back. He went past intelligence, speed, and context windows. "Controllability is probably the single biggest breakthrough that we need for agents at every single level." He described changing one word in a plan file and having only that part regenerate while everything else stays intact. That level of precision is what's missing. 3. You don't need perfect agents to start using them. He pushed back on the idea that agents need to be flawless before they're useful. "We don't need the agents to be 100% accurate, 100% high quality in order for us to use it. It could be 80% and then we help it the rest of the way." 80% agent output plus human review is production-ready right now. Waiting for 100% means waiting forever. 4. Nvidia already runs agents everywhere internally. This wasn't theoretical. Jensen described how the company uses AI coding tools today. "We've got Claude Code autonomously running in sandboxes all over Nvidia. Some people use Cursor, some people use Cognition. We let a thousand flowers bloom." They're not waiting for agents to mature, they're learning by deploying at scale. 5. The ChatGPT moment for robots already happened. When asked about the robotics timeline, Jensen didn't say "soon." He said it already passed. "The ChatGPT moment of robots happened a couple years ago already." Just like ChatGPT opened our imagination before it was productive, robots doing reinforcement learning grounded in physics simulation crossed that threshold years ago. What's left is post-training: environments, eval, sim-to-real. 6. Start before you're ready. Jensen closed with the mindset that carried him from a company built on the wrong algorithm to the company at the center of the AI revolution. "I always had this feeling, how hard can it be? And truth be told, it is way harder than you think. But you don't want your mind to be there." The difficulty will find you on its own. You only have to get through today. Watch the full thing, then read the guide on open weights below.

Nvidia Founder and CEO, Jensen Huang, sat down for 49 minutes with Y Combinator at Startup School 2026 and explained the future of AI agents and systems thinking better than any course or conference this year. This is what he told the room: 1. Systems thinking is the new coding. Jensen was asked what skills will matter most as AI takes over more tasks. He skipped frameworks and languages entirely. "Most software is going to be done agentically anyhow. So you have to be much more able to think abstractly about systems." If agents write the code, the person designing what the code does is the one who matters. 2. Controllability is the single biggest agent breakthrough still needed. Jensen laid out what he thinks is holding agents back. He went past intelligence, speed, and context windows. "Controllability is probably the single biggest breakthrough that we need for agents at every single level." He described changing one word in a plan file and having only that part regenerate while everything else stays intact. That level of precision is what's missing. 3. You don't need perfect agents to start using them. He pushed back on the idea that agents need to be flawless before they're useful. "We don't need the agents to be 100% accurate, 100% high quality in order for us to use it. It could be 80% and then we help it the rest of the way." 80% agent output plus human review is production-ready right now. Waiting for 100% means waiting forever. 4. Nvidia already runs agents everywhere internally. This wasn't theoretical. Jensen described how the company uses AI coding tools today. "We've got Claude Code autonomously running in sandboxes all over Nvidia. Some people use Cursor, some people use Cognition. We let a thousand flowers bloom." They're not waiting for agents to mature, they're learning by deploying at scale. 5. The ChatGPT moment for robots already happened. When asked about the robotics timeline, Jensen didn't say "soon." He said it already passed. "The ChatGPT moment of robots happened a couple years ago already." Just like ChatGPT opened our imagination before it was productive, robots doing reinforcement learning grounded in physics simulation crossed that threshold years ago. What's left is post-training: environments, eval, sim-to-real. 6. Start before you're ready. Jensen closed with the mindset that carried him from a company built on the wrong algorithm to the company at the center of the AI revolution. "I always had this feeling, how hard can it be? And truth be told, it is way harder than you think. But you don't want your mind to be there." The difficulty will find you on its own. You only have to get through today. Watch the full thing, then read the guide on open weights below.

Alex Prompter

18,306 Aufrufe • vor 2 Monaten

CEOs say: NO CHINESE HUMANOID ROBOTS IN THE US UNDER ANY CIRCUMSTANCES 🛑 @jason: “Under any circumstances should we allow humanoid robotics from China in the United States?” Boston Dynamics CEO Amanda McMaster (Boston Dynamics): “No. It's not safe, right? We've already heard about leaks that are happening with some of the quadrupeds that you're seeing in United States, and it's being back-channeled back to China. Listen, we have seen what happens if we let China win in the semiconductor space. We can't do that with robotics.” ANYBotics CEO Peter Fankhauser (Péter Fankhauser ANYbotics): “We collect very sensitive data. We have ISO certification for cybersecurity, all these topics, right? So that's how we compete.” Jason: “So you might not want to send the nuclear power plant's latest data to the Chinese Communist Party, you're saying?” Fankhauser: “You don't want to have 15 cameras in your critical infrastructure that somebody else controls. That is happening today.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads. 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Now open to everyone. Sign up at If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 10% off! Which is also available on Amazon: (Code: ALLIN10X)

CEOs say: NO CHINESE HUMANOID ROBOTS IN THE US UNDER ANY CIRCUMSTANCES 🛑 @jason: “Under any circumstances should we allow humanoid robotics from China in the United States?” Boston Dynamics CEO Amanda McMaster (Boston Dynamics): “No. It's not safe, right? We've already heard about leaks that are happening with some of the quadrupeds that you're seeing in United States, and it's being back-channeled back to China. Listen, we have seen what happens if we let China win in the semiconductor space. We can't do that with robotics.” ANYBotics CEO Peter Fankhauser (Péter Fankhauser ANYbotics): “We collect very sensitive data. We have ISO certification for cybersecurity, all these topics, right? So that's how we compete.” Jason: “So you might not want to send the nuclear power plant's latest data to the Chinese Communist Party, you're saying?” Fankhauser: “You don't want to have 15 cameras in your critical infrastructure that somebody else controls. That is happening today.” ------------------------------ Thanks to our partners for making this possible! Most advertisers have never heard of the platform with an $11B annual run rate in ad spend. AppLovin Ads. 1B+ daily active users, full-screen video ads watched for a median of 35 seconds, and businesses are profitably spending hundreds of thousands of dollars a day on it. Now open to everyone. Sign up at If your work depends on conversations — meetings, deal flow, interviews, customer calls — Plaud helps you capture and organize everything with highly accurate AI-generated notes that are not just simple summaries, but also highlight pain points, key decisions, next steps, and customizable summary templates. Check out Plaud at and use code ALLIN for up to 10% off! Which is also available on Amazon: (Code: ALLIN10X)

The All-In Podcast

84,490 Aufrufe • vor 1 Monat