Daniel Paredes

@CodeByNZ what's the repo?

Apple accidentally left Claude.md files in today's Apple Support app update (v5.13)

@Geiger_Capital Correct, but back then Google was about to get the response on whether they would split on the anti-monopoly case. People invested the amount according to our risk

If you just put your entire portfolio into $GOOGL last April and then sat on the beach, you'd be up +155% in one year… You stupid idiot.

@roguecyber @DanielMiessler Yeah, that's fair. That's why it will start with the folks with big wallets

@dparedesi @DanielMiessler Cool, cool, but we need the budget for our new enterprise AI agent swarm. So, move the roll to PH until we can get the AI error rate down.

Let me explain these AI layoffs. The issue is the vast difference in quality of employee between the top 10% and everyone else. AI can’t come anywhere close (today) to replacing the top performers at a big company. But they’re spending millions a year on tens of thousands of employees in the bottom 75% of the quality scale. And AI is now getting good enough to replace THEM. Not directly, yet, but by having top performers do more of their work with AI. So it’s not that AI is better than top performers. It’s not. The issue is 90% of employees aren’t in the top 10%. And companies no longer want to pay millions a year for mediocre employees. They’d rather fire everyone but the best, and have them become 10 or 100x what they were by wielding AI. This is why you see some people thriving right now and most people are panicking. It’s because most people are in the 90% that companies no longer want. The solution is to become one of the top 10% type people that companies still desperately need. Or to do your own thing once you get there because you no longer need a company. But this explains why some are thriving right now while most aren’t. It’s less about AI and more about the difference between top performers and everyone else.

@roguecyber @DanielMiessler > who's going to notice If you cannot notice it is likely you haven't seen one in the top 10%. The difference is massive of a top 10% with AI and a bottom 90% with AI

@DanielMiessler Companies can't tell who the top 10%. Plus, who cares if they top 10%. The AI is cheaper, and who's going to notice. You now have a model/vendor to blame is something is going wrong. "replace with AI" is going to be the new "buy from IBM".

@jahirsheikh8 because everything free either has heavy rate limits or very high latency

Why is nobody talking about this? NVIDIA is giving developers free access to ~80 hosted AI models via API. Models include: • MiniMax M2.7 • GLM 5.1 • Kimi 2.5 • DeepSeek 3.2 • GPT-OSS-120B • Sarvam-M …and more. Works with Cursor, Zed, OpenCode, Hermes, OpenClaude, etc. Setup: 1. Get API key → build.nvidia.com/models 2. Use base URL: "integrate.api.nvidia.com/v1" 3. Choose model ID (example: `minimaxai/minimax-m2.7`) 4. Plug into your AI IDE / app If you're experimenting with AI apps, this is basically free inference. Most builders have no idea this exists. Thank me later.

@russellbrunson How often do you enjoyed listening voice noting from others? The same. Others won’t like to listen. We read faster; better if it is concise. Voice-to-text works good for agents tho

Stop texting your team. Start voice noting. Clarity goes up. Speed goes up. Execution goes WAY up.

@AsyncCollab @garrytan 🫠 the guy asks “I don’t understand” You proceed to explain The guy: I eat their hate He does not understand indeed

@garrytan They’re shitting on you, Garry. And specifically that you’re using YC to push your slopstack as if it’s an official YC product. It makes the credibility of the actual program suspect.

I don’t understand people who attack YC when there are plenty of people not releasing open source It’s literally free software. MIT license.

@garrytan I think people who admire (or used to?) YC would expect to read from the CEO more CEO VC stuff and not markdown promotion which more or less all powers users have been using for a while. I just to web scrape what CEO of VCs posts bc of how insightful that could be

I am serious: I welcome a PR or even an issue. Help me be better. And if you are building, please make JStack Share your stuff. I want us all to be awesome.

@jonahseguin @garrytan We can tell Jonah: you are right

@garrytan hahahahahaha

If you use GStack please tell Jonah what he is missing out on

@katiekirsch @Replit @amasad $250k in tokens gives a 100x what a human CoS can do 😬

.@Replit is hiring a Chief of Staff to the CEO. .$240K-$290K to work directly alongside @amasad at the company turning natural language into apps. The framing here is unusual: it's explicitly a high-leverage IC role, not the start of a team. You scale yourself through AI and automation - not headcount. You'll: - Own the hardest cross-functional problems the CEO can't delegate elsewhere - Coordinate the CEO's network to accelerate go-to-market, including internationally - Build integrated views of product, market, and business dynamics that no single function owns Link in thread!

@kunchenguid If your “ahead” = top 0.1% then sure. That would make your definition of “average” such a wide spectrum, losing the definition of average

Software team AI adoption reality check What “average” looks like: - Almost everyone’s using agentic tools regularly, including non-devs - Cool demos of how people use AI effectively shared every day - A few high performers achieved 5-10x boost by orchestrating many agents - People complaining they don’t have enough tokens Some teams doing the above seem to think they are ahead of the curve. What “ahead” really looks like: - More agents running in background than foreground - Shipped products/features to real customers built entirely by agents (with human oversight) - Some experiments proposed, executed and analyzed entirely by agents e2e - Majority of bugs, vulns, user feedback, production alerts routed to agents before humans Being “behind” = none of the above is happening yet

@ivanburazin "what is this?" lol... come on, man... I could see a Sony Walkman and still don't go with the "what is this?"... 😂

I saw a teammate use VS Code the other day, and it felt so weird and out of place. Literally asked him, "what is this? what are you doing?" I don't use IDEs anymore. Everything is via claude code now.

@scottastevenson Our of curiosity, have you gotten stats on how many inbound and outbound messages are you getting in Slack?

Slack is seriously not working as a communication channel for companies working at AI speed It blows out everyone's context window As a founder working 80 hrs/week, who ruthlessly tracks my "actions per minute", I can barely stay on top How can you expect anyone else to keep up? We need more context isolation, smarter routing What is the solution?

@DaveShapi > like I'm always about 6 months ahead of the curve I don’t follow you but every rare time that your posts pop up, not a single time it gave me that impression, ever

Unpopular opinion: Opus 4.7 is definitely smarter and more user friendly than 4.6 It is somewhat satisfying to see people have the same complaints I've had for a while, especially about ChatGPT It's weird, like I'm always about 6 months ahead of the curve and I feel like I'm the crazy one shouting into the void But invariably everyone catches up. This isn't meant to be a flex but more like "what was I seeing earlier that everyone is seeing now?" But also I'm genuinely kinda confused because, in my testing over the last few days, Opus 4.7 is a substantive improvement over everything I was bitching about with 4.6.

@Srini_Pa Uhm… we as humans also have to “relearn”/adapt constantly when reality changes. What’s the point? There are people still taking notes to not forget stuff

LLMs cannot learn. The frozen core never updates from experience. So the AI industry piles on prompts, RAG, memory, agents, and orchestration to preserve the illusion of learning. That illusion shatters when reality changes. Yet they think enterprise adoption is a PR problem.

@DnuLkjkjh @thdxr Try to not edit at all and you will notice that it will also understand based on context, especially if you repeat your thoughts more than once as we speak to another human when we are having a conversation

@thdxr dictation changed the shape of the work for me too. the weird bottleneck for me wasn't STT quality, it was editing once the prompt got longer than a paragraph. are you dictating straight into opencode or doing a quick cleanup pass first?

the biggest impact on my coding workflow lately hasn't been anything agent related it's realizing how good these parakeet local voice models are and then just dictating everything into opencode typing is more of a burden/bottleneck than you realize

@ASpittel 3-4 codespaces with 2-3 terminal tabs on each but I open a new one only when I know something will take long to finish and don’t want to just sit and wait. In reality some agents have finished and never are running all in parallel

how many coding agents do you feel like you can actually manage at a time?

@Steve_Yegge @demishassabis “ If Google can convince me” 😂

I'm not trying to misrepresent anyone, and perhaps my Googler friends are misinformed. But I strongly suspect that by my own notions of what constitutes advanced AI adoption--and indeed, what most of the industry would expect from Google right now--you are not doing great. At Anthropic, which is basically the bar at this point, everyone is burning, I'd guess, 10M to 15M tokens a day. If Google can convince me that half their engineers are burning 4M tokens a day, then I'd be happy to post a retraction with an apology.

I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year. The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too. But why is Google so... average? How is it that a handful of companies are taking off like a spaceship, and the rest, including Google, are mired in inaction? My buddy's observation was key here: There has been an industry-wide hiring freeze for 18+ months, during which time nobody has been moving jobs. So there are no clued-in people coming in from the outside to tell Google how far behind they are, how utterly mediocre they have become as an eng org. He says the problem is that they can't use Claude Code because it's the enemy, and Gemini has never been good enough to capture people's workflows like Claude has, so basically agentic coding just never really took off inside Google. They're all just plodding along, completely oblivious to what's happening out there right now. Not only is Google not able to do anything about it, they don't seem to be aware of the problem at all. I'm having major flashbacks to fifty years ago as a kid at the La Brea Tar Pits, asking, "why can't they just climb out?" My Google friend and I had this conversation over a month ago. I didn't share it because I wanted to look around a bit, and see if it's really as bad as all that. I've been talking to people from dozens of companies since then. And yeah. It's as bad as all that. Google is about average. Some companies at the bottom have near-zero AI adoption and can't even get budget for AI. They may have moats and high walls, but the horde is coming for them all the same. And then there are a few companies I've met recently who are *amazingly* leaned in to AI adoption. One category-leader company just cancelled IntelliJ for a thousand engineers. That's an incredibly bold move, one of many they're making towards agentic adoption. In my opinion, that company is setting themselves up for a _huge_ W. As for the rest, well, it's the Great Siloing. Everyone's flying blind. With nobody moving companies, no company knows where they stand on the AI adoption curve. Nobody knows how they're doing compared to everyone else. Half of them just check a box: "We enabled {Copilot/Cursor} for everyone!" Cue smug celebrations. They think this is like getting SOC2 compliance, just a thing they turn on and now it's "solved." And they don't realize that they've done effectively nothing at all. All because of a hiring freeze.

@c_m0g_ @YashHustle_22 Skill issues Have a save-context skill so you just /save-context Skill issues Have a hook that smartly captures that without you asking

@YashHustle_22 Skill issues Tell the ai to summarise all we've been doing here, where we are and where we are going, that you're going to another chat In the new chat paste your directory tree and tell it to ask for any file it needs to complete the story

Most annoying part of vibe coding? Re-explaining the entire context to your IDE after switching chats

@SpaceWelder314 @thdxr I haven't tried to offend you. I genuinely wanted to know what agents are you working on. I genuinely believe the LOCs/tokens race is completely meaningless, with zero intention to offend you. I read your post on the agents and the e-commerce store sounds actually really cool

@dparedesi @thdxr IDK. I was trying to talk about agents and you started a conversation by offending me. Did I miss something?

a million posts on my feed telling me how to build agents zero people talking about building agents