HKStrongside

@TukiFromKL The xAI one is the most underrated item on this list. Wall Street bankers taking $100/hour to train their own replacement is the most 2026 thing I've ever read. At least they're getting paid for the privilege

🚨 Do you understand what happened in the last 24 hours? > Zuckerberg killed the Metaverse after burning $80 billion on cartoon avatars nobody used > Sam Altman took $13 billion from Microsoft then sold OpenAI's cloud to Amazon for $50 billion.. Microsoft just found out they funded their own competition > Anthropic made an AI that takes orders from your phone and does your work while you sleep.. > X dropped a dislike button AND a mute-entire-countries button in the same week.. > YouTube asking you to flag AI slop is just Google getting 2 billion people to train their next model for free > 93% of US jobs can now be partly done by AI.. Same week companies started giving the weakest raises since 2008 > Apple started rejecting vibe-coded apps from the App Store > xAI is paying Wall Street bankers $100/hour to teach Grok how to replace Wall Street bankers.. They're taking the money.. > A mystery AI model appeared on benchmarks beating everything.. Developers think DeepSeek is quietly testing their next weapon > Bloomberg asked "Is the AI bubble about to burst" the same day Nvidia said the chip market will hit $1 trillion.. One of them is dead wrong.. > The UK government backed down on AI copyright after artists revolted.. First government to flinch > The Fed said rate hikes are back on the table and blamed AI data centers for making inflation worse And it's only Wednesday. See you tomorrow. It'll be worse. If you're not following me you're finding out about this stuff 48 hours late from someone who read my post

@brockpierson I'd love more eyeballs on my building with AI content. Thx! 🤙

I am blowing all super small accounts Reply if you're under 5k and I will boost you 🚀

@xoaanya Claude Code.

If you had $20 to invest, which would you choose? – Codex – Claude Code Heard Claude hits limits fast… what would you pick?

@gothburz So much truth here…. Was a wild time, but we surely paid through the nose for it.

My net worth peaked at $1.2 million. None of it was real. I don't mean that philosophically. I mean it was located on servers that have since been turned off. I own eleven properties in the metaverse. Three in Decentraland. Four in The Sandbox. Two in Voxels. One in Otherside. And a beachfront villa in Horizon Worlds that I bought for $214,000 because Mark Zuckerberg called it "the next frontier." The frontier closed last week. It's a mobile app now. Last year I mass DM'd 340 people the phrase "you don't understand how early we are." I have since stopped doing that. Not because I was wrong. Because most of them blocked me. I got into metaverse real estate in November 2021. Everyone was buying. Someone paid $450,000 to be Snoop Dogg's neighbor. In a video game. With no legs. The avatars didn't have legs. I thought that was bullish. "The legs are coming," I told my Discord. "Legs are a roadmap item." Three hundred people reacted with rocket emojis. I called myself a "digital land baron." I put it in my Twitter bio. I put it in my LinkedIn headline. I said it on a podcast that had eleven listeners. Three of them were bots. The rest were my alts. My virtual property has more square footage than my actual apartment. My actual apartment has furniture. Location, location, location. My most valuable asset was a plot next to a virtual Gucci store. Gucci left in 2023. The store is still there. Nobody's in it. It's like a mall in Ohio but with worse graphics and no food court. I held. Diamond hands. That's what we said. "Diamond hands." It means refusing to sell while your investment loses 94% of its value. We turned financial paralysis into a personality trait. A guy in my Discord paid $2.4 million for a 618-parcel estate in Decentraland. Prime district. High foot traffic. I asked him what "foot traffic" meant when the platform had 38 daily active users. He said I didn't understand the technology. I didn't. I still bought more. We had a DAO. A decentralized autonomous organization. That means we voted on decisions. There were nine of us. Three never showed up. Two voted on everything without reading it. The other four were me and my alts. We voted to "acquire strategic parcels." The vote passed unanimously. I voted four times. My portfolio peaked at $1.2 million. I told everyone. I made a spreadsheet. I projected 40x returns by 2025. I made a pitch deck. The pitch deck had a slide that said "WE ARE BUILDING THE DIGITAL ECONOMY." The slide had a rocket emoji. That was my entire financial model. In 2023 I bought a Bored Ape for $189,000. It's worth $14,000 now. I don't talk about the Ape. I still use it as my profile picture. People ask me about it. I say "I'm long-term bullish." Long-term bullish means I can't sell it without crying in a Panera. My mom asked me what a Bored Ape was. I said "digital art on the blockchain." She asked why it cost more than her car. I said "you don't understand Web3." She said "I understand you live in a studio apartment." She's not in my Discord. Justin Bieber bought one for $1.3 million. It's worth about $90,000 now. I felt better about mine after I heard that. That's community. WAGMI. We're All Gonna Make It. We said that every day. In the group chat. While the floor dropped. While the volume dried up. While 95% of all NFT collections went to zero. We're all gonna make it. None of us made it. But we said it with conviction and a laser-eye profile picture. That counts for something. It doesn't. But we said it did. That's decentralized consensus. Meta spent $84 billion on the metaverse. I need to say that again. $84 billion. More than the GDP of Luxembourg. More than the GDP of Iceland, Luxembourg, and Malta combined. They spent it on a platform where the avatars had no legs, the graphics looked like a 2006 Wii game, and the peak user count was lower than the lunch rush at a Chipotle in Des Moines. They just pulled Horizon Worlds from VR headsets. It lives on as a mobile app. My beachfront villa is now a mobile app. Location, location, location. Zuckerberg renamed the entire company for this. Facebook became Meta. A $900 billion company changed its legal name because the CEO watched Ready Player One and said "I want that." Reality Labs lost $10 billion in 2021. $14 billion in 2022. $16 billion in 2023. $18 billion in 2024. $19 billion in 2025. That's not a strategy. That's a speedrun. They laid off 1,500 Reality Labs employees this year. Shut down three VR studios. Killed Supernatural. Put the entire VR social vision in a casket and said "we're pivoting to AI and wearables." The pivot took four years and $84 billion. I pivoted too. I'm an AI real estate investor now. I bought a virtual plot in an AI-generated world that doesn't exist yet. The founder said it was "the intersection of spatial computing and large language models." I don't know what that means. I gave him $40,000. He has a whitepaper. It's 47 pages. I read the title and the tokenomics section. The tokenomics section is a pie chart. I love pie charts. They make everything look like a plan. The project has a roadmap. Q1: "Build community." Q2: "Launch beta." Q3: "Scale ecosystem." Q4 is blank. Q4 is always blank. That's where the exit scam goes. My accountant asked me to value my metaverse portfolio for tax purposes. I said $1.2 million. He said "current market value." I said $6,400. He stared at me for eleven seconds. I know because I counted. He asked if I had any other investments. I showed him my NFTs. He stared for longer. I told him they were "cultural artifacts with long-term provenance." He asked if I'd considered a 401k. I told him a 401k was "legacy finance." He told me to leave his office. The metaverse is dead. I don't accept that. I am a digital land baron. I own eleven properties across four platforms. I have a beachfront villa in a mobile app, a plot next to an empty Gucci store, and a cartoon monkey that cost me more than my actual car. Location, location, location. The location is nowhere. But I'm early. I'm always early. That's the same as being wrong except you get to say it with confidence.

Shoutout to my dear friend @dilmerv — someone I had the privilege of working alongside for nearly 10 years. Just caught up with him over sushi (our favorite 🍣) and got to hear firsthand about everything he’s been crushing lately — and wow, what a couple of months it’s been. Few people have shaped the engineer I am today more than Dilmer. Three lessons he lives by that stuck with me forever: 1. Always be learning. Tech never stops. Neither should you. As a senior engineer, the moment you think you’ve “arrived” is the moment you start falling behind. Dilmer never stopped being a student — and it shows. 2. Always be teaching. The best engineers multiply their impact by lifting others. Teaching forces you to truly understand what you know (and what you don’t). It’s a superpower, not a distraction. 3. Have a great attitude — especially when things aren’t going well. Production is down. The deadline moved. The requirements changed again. Your attitude is the one variable you always control. Dilmer is a master at this, and it made the whole team better. It’s been so fun watching him grow — from brilliant engineer to founding learnXR.io, a mountain of XR dev tutorials on YouTube, Microsoft MVP, and now thriving as a Developer Advocate for Mixed Reality at Meta. 🥽 The sky is not the limit for this guy. Proud to call him a friend. Go follow him! 🚀

Tool calls chain multiple requests and fail. Prefill: 100%|█████████▉| 34849/34850 [01:28<00:00, 393.33tok/s] Prefill: 100%|█████████▉| 33721/33722 [01:26<00:00, 390.82tok/s] Prefill: 100%|█████████▉| 34031/34032 [01:27<00:00, 389.95tok/s]

Running OpenClaw with local models on a Mac Mini? You're probably hitting this. There's a hardcoded ~30s timeout on LLM requests in OpenClaw 2026.3.13 that ignores all config settings. If you're running Qwen 3.5 (or any local model) via MLX on Apple Silicon, even simple chats timeout because the prefill on a 25K token context takes 60+ seconds. Images? Forget it. Vision requests don't stand a chance. This makes local models on Mac Minis basically unreliable — the model IS responding, it just can't finish before OpenClaw kills the request. Cloud providers are fast enough to dodge this, but that defeats the purpose of running local. The fix needs to respect agents.defaults.timeoutSeconds for individual LLM requests, not just session-level timeout. If this is affecting you, upvote and comment on the bug. Link to the Github bug below. 🧵👇

Meta just had a Sev 1 because an internal AI agent decided to be helpful without being asked. Posted advice to someone who didn't request it, triggered a chain reaction, and engineers got access to systems they shouldn't see. This is the thing I keep saying — sandboxing and "confirm before acting" aren't features. They're the whole point. Your agent doing something smart that you didn't ask for is still your agent doing something you didn't ask for. 🧵👇

Open-sourcing the YC Office Hours mental model as an AI skill is a genuinely novel move. The forcing questions are the valuable part — most founders know their answers, but not many know which questions to ask themselves. Encoding that into a reusable skill means anyone can stress-test their idea on demand.

I just launched /office-hours skill with gstack. Working on a new idea? GStack will help you think about it the way we do at YC. (It's only a 10% strength version of what a real YC partner can do for you, but I assure you that is quite powerful as it is.)

81,000 qualitative responses in one week is a dataset most research teams would spend a year building. The most interesting part isn't the answers — it's using AI to conduct the interviews at scale. If AI can run a qualitative study this large with real texture, the entire user research industry just got a proof of concept for 10x faster insights.

We invited Claude users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people responded in one week—the largest qualitative study of its kind. Read more: anthropic.com/features/81k-i…

@askwhykartik I love this. I still think there is value in knowing how to code, but even more how the full stack works.

I use Claude Code every single day. It probably saves me 3-4 hours on every project. But here's what nobody says: If I didn't know Flutter, Firebase, and how backends actually work Claude would've destroyed my client projects by now. It confidently writes wrong code. It confidently misses edge cases. It confidently breaks production. You need the judgment to catch it. Judgment only comes from actually learning. AI is the gas pedal. You still need to know how to drive.

claude.ai seems to be working. I pasted that screenshot above and the url that was present and it responded with this. Man, I am really glad to be spinning up an OpenClaw running local models. That works like a champ.

Anyone else having an issue logging into Claude? Claude status page says everything is working fine..... I can't get in on any of my machines or accounts....

@andrewchen Unfortunately very true. But it’s so satisfying making stuff.

AI is supposed to save me time, but now I find myself building stuff all evening and weekend and it's actually increasing my time in front of the computer WTF

@dansemperepico So true, but it’s been a super fun ride. Once you get it up and going, it is very satisfying. Especially running only local models.

Trying to configure OpenClaw be like:

I guess I will take advantage of the downtime and apply updates to my machines.

@AlexFinn This is the future. Why do you suggest LMStudio over Ollama? I setup my OpenClaw Wilbur last night on my Mac Mini M4 Pro 64gb. I am running Ollama with Qwen 17b for the brain and heartbeat and 32b for the hard stuff. Would I benefit from LMStudio?

I don't care what computer you have, you should be running local models It will save you a money on OpenClaw and keep your data private Even if you're on the cheapest Mac Mini you can be doing this Here's a complete guide: 1. Download LMStudio 2. Go to your OpenClaw and say what kind of hardware you have (computer and memory and storage) 3. Ask what's the biggest local model you can run on there 4. Ask 'based on what you know about me, what workflows could this open model replace?' 5. Have OpenClaw walk you through downloading the model in LM Studio and setting up the API 6. Ask OpenClaw to start using the new API Boom you're good to go. You just saved money by using local models, have an AI model that is COMPLETELY private and secure on your own device, did something advanced that 99% of people have never done, and have entered the future. There are some amazing local models out there too right now. Nemotron 3 and Qwen 3.5 are fantastic and can be ran on smaller devices Own your intelligence.