vu1nss🏴‍☠️☢️☠️

This 😅😱👇🏼

true, and this is likely why AI infrastructure is key. no amount of software layer optimization is going to permanently address the piles upon piles of data and use cases people are throwing at AI. And this is also why I believe AI pricing is just going to go up from here onwards

If you have a job, and it is your sole source of income. Do EVERYTHING in your power to keep it. The next 2 years have a good chance of being extremely turbulent for the job market due to AI disruption. We are at the point now where companies are learning how to leverage it and how to implement it securely. Get ready, the next few years will be wild.

First would be the engineers Second is everyone else like the specialist/professional who needs to automate their job so output can be faster/higher quality or for engineering niche use cases Security and ethical concerns aside, yes imho this is the way to go these days ....

Anthropic and OpenAI are both building PE-backed consulting arms to deploy AI inside companies. Let that sink in for a second. The two companies building the most powerful AI on earth looked at the market and said "businesses can't figure out how to use this. We need to go in and do it for them." They are literally telling you where the gap is. Companies have access to the best AI models ever built. And most of them are still running on spreadsheets, disconnected tools, and manual processes because nobody showed them how to actually implement it. That's the whole game right now. Not building better models (obviously) or shipping new features. IMPLEMENTATION. Getting AI inside real workflows. Mapping the processes, building the systems, and making it stick. I've been doing exactly this for 4 years and have worked with 80+ companies at this point. It started with automation and naturally flowed into Ai. And every single engagement starts the same way. Not with AI or automation but with a process map. Because AI alone won't fix broken operations. Companies now understand that. They have not yet seen true ROI from Ai. You have to understand how the business actually runs before you touch a single tool. Where does the data live? Where are the bottlenecks? What's manual that shouldn't be? What breaks when volume goes up? That's the work, and that's what Anthropic and OpenAI just told the entire market is worth billions. Every company is going AI-first over the next 3-5 years. The demand for people who can actually make that happen is about to be unlike anything we've seen. The labs told you where the gaps are. Now go fill them.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

@paoloanzn @PicoClaw 🤷‍♂️🤷‍♂️ yeah, also expecting these companies to inject crap that violates our privacy. if not already.

after acquiring openclaw 4 weeks ago openai just banned my account i was using for my company's @picoclaw agent... so apparently ai agents are the future and will benefit all of humanity unless its something not owned or developed by them i guess just wait until they'll tell @steipete to add tracking to your agent for "ai safety policies"

@skindie___ because you forgot to use “claude --dangerously-skip-permissions”

If Claude code is so good why can’t it open the Strait of Hormuz

@MackinleyZamora I try to be unbiased politically, but this just made me laugh out hard. This post did not age well 🤣

Makalipas ang apat na taon, kumusta na kaya si Ireneo ngayon?

@VictorTaelin I hate to say it (and hope I'm wrong), but I foresee that their price point will just go up rather than down from hereon. ✌️✌️peace

Sorry for posting this again, I'm still processing it: It'd cost >>> $743k per year <<< to run Opus-4.6 fast-mode nonstop Literally my company cannot afford a single person using it for daily coding. And that's a shame because the experience is truly magical. I've spent the last 2 days using it on Pi (nearly $500 gone 💀), and it was the first time I kinda got into the flow state while using an agent, because the feedback is just so fast. This is not something I ever experienced before, definitely not with GPT 5.4's own fast mode. I can't wait for this kind of super fast, super high intelligence to be available for a reasonable cost...

The “LLMs and Agents can’t be wrong. It’s the human who’s wrong” type of people are the most insufferable.

@catalinmpit I also read on the threat about LLM hallucinations, etc and inherent LLM limitations. Something I forgot to mention on my orig reply but yeah.....

honestly I get what they are saying. Skills this, skills that - optimize the AI, learn how to use it etc. But optimization has its limits. at some point, yes the limitations of the AI will surface. When that happens we should as well acknowledge that rather than shifting blame to just users. Be objective - show us that it isn't the AIs fault and its just the users' fault. And that's wherein the problem lies - explainability/reproducibility. Too much is abstracted from us and too many variables at play, its hard to recreate or accurately benchmark ( at least afaik) What ends up happening is that we rely on our own experiences, and people will always have different experiences and results because they use AIs like Claude or OpenAI for different things and in different ways. Apples to oranges. Add to that intermittent performance or availability issues with AI services these days, w/c btw is for a major part out of our control. Again varying experiences ...

As someone who used to work in HR, I need you to listen VERY CLOSELY: HR is there for the company! Not the employee. They are not your friend. They are not on your side. Ever. They are there to manage people problems for the company. Complainers ARE problems.

@Red_W0lf_ACTUAL @sachiihappy i doubt the war will end by then. Iran knows its leverage on world economy. Unless PH govt or the govts of affected countries do something on their end, we will always be at the mercy of events that we have nothing to do with.

@sachiihappy We're cooked by April. Most of our reserves will be used by then if Epic Fury doesn't wrap up soon.

Get me out of here 🤒

@alliekmiller #4 is so true, I call it the hybrid user. But yeah, those users with a niche feature set for AI are definitely underserved.

Yesterday, I met with Anthropic and OpenAI and Google. (Separately, of course.) And while the conversations were largely confidential, I do want to share some aggregated reflections on the day as well as general SF takeaways. ⬇️ 1) Competitive advantage as a solo practitioner really does come from taking action and finding an area with a bit of friction and doubling down. Ex: memory management right now isn’t perfect, but allocating an hour to improving that system gives you a ton of leverage over others 2) SF continues to be the number one place for AI work. I know that’s not surprising. I would put New York at a healthy second place. SF tends to be more about crazy agent experiments for the thrill of capability and discovery and NYC tends to be more about kinda crazy agent experiments to find new ways to make money. Not saying either is better. But I met several people renting two apartments to straddle these worlds. You want the frontier of SF and enterprise insights of NYC. It’s one reason I travel between them so much. 3) All AI labs want to hear more from people. All of them. What are you using it for, what do you like, what do you hate, what do you need. Users have a TON of power on the direction of these tools. Keep testing and tweeting at them!! 4) There is very clearly a third customer cohort that is bubbling and underserved. It’s not developers…it’s not the business professional basic users…it’s builders. Everyone can build now. It’s marketing and sales folks vibe coding. It’s legal folks building complex skills. It’s a finance expert building a side project. This is a really undertapped customer base. They feel the Cursors of the world are too complex and doc summarization tools of the world are too basic. 5) Not sure if it was just sample size, but far fewer people were wearing tech gear compared to when I lived in SF. Everyone was still dressed casually, but I used to see Splunk and Optimizely and Slack and VC gear everywhere. People seem more in stealth swag now. 6) We may soon have our world model moment. 7) Speed of iteration and shipping is faster than I’ve ever seen. We see the nonstop drops from Anthropic. We see that because of scale, providers can get a much faster feedback loop of products or features that aren’t hitting. A lot of 2025 was experimentation, but ever since the OpenClaw moment over the holidays, the releases from all three labs have been more concentrated on…things that sorta look and feel like OpenClaw. 8) Small teams can pull off more than ever before. Small teams are the powerhouses of innovation right now. This means that finding new ways to share knowledge, break silos, and remove duplicate work is going to be even more important. AI agents functioning as actually teammates that support an entire system is key. 9) Build more Skills. Build better Skills. 10) Misinformation on AI tools and leaks spread FAST. I’ve seen so many fake stories on these AI labs. Your company needs to actually TEST these tools on your actual use cases to know which models and tools are best and you need to not make large-scale snap decisions based on a rumor of a rumor of a rumor. We will see more volatility. Plan for it. 11) You can feel the seriousness of this moment. Even during random conversations I had in line at a cafe. Lots of folks worried about job loss and lack of meaning. 12) Mac minis were sold out ;)

@AdamRackis That's one way to put it 😂😂

When your drug dealer complains you’re not doing enough drugs

NVIDIA Nemoclaw's security is worse than I expected. The AI can modify its own config to bypass security controls. I asked it to accept websocket connections from any origin and change its token to something trivial (123). Now any site I visit can give instructions to my bot.

@sterlingcrispin Same. I actually stopped using Claude for writing/auditing code and use Codex for that. Anything code related is Codex's forte, everything else is Claude. I don't have the hard data to back it up, just what I follow based on actual experience of using both tools

Claude 4.6 is a good programmer but writes insanely severe bugs constantly, it won't catch them all in audits, nor will other claudes You need codex 5.4 auditing every commit 4+ times. If you don't believe me, try it. I have an /auditcodex skill for it github.com/sterlingcrispi…

If you are lazy, being the CEO of a successful company is the absolute best job ever. You have to do almost nothing and you get invited to do the coolest shit. Tough job to get though if you’re lazy.

People trying to the world: save the world