Utai Besai Agi Nyadi

Think back to February 2020.

If you were paying close attention, you might have noticed a few people talking about a virus spreading overseas. But most of us weren't paying close attention. The stock market was doing great, your kids were in school, you were going to restaurants and shaking hands and planning trips. If someone told you they were stockpiling toilet paper you would have thought they'd been spending too much time on a weird corner of the internet. Then, over the course of about three weeks, the entire world changed. Your office closed, your kids came home, and life rearranged itself into something you wouldn't have believed if you'd described it to yourself a month earlier.

I think we're in the "this seems overblown" phase of something much, much bigger than Covid.

I've spent six years building an AI startup and investing in the space. I live in this world. And I'm writing this for the people in my life who don't... my family, my friends, the people I care about who keep asking me "so what's the deal with AI?" and getting an answer that doesn't do justice to what's actually happening. I keep giving them the polite version. The cocktail-party version. Because the honest version sounds like I've lost my mind. And for a while, I told myself that was a good enough reason to keep what's truly happening to myself. But the gap between what I've been saying and what is actually happening has gotten far too big. The people I care about deserve to hear what is coming, even if it sounds crazy.

I should be clear about something up front: even though I work in AI, I have almost no influence over what's about to happen, and neither does the vast majority of the industry. The future is being shaped by a remarkably small number of people: a few hundred researchers at a handful of companies... OpenAI, Anthropic, Google DeepMind, and a few others. A single training run, managed by a small team over a few months, can produce an AI system that shifts the entire trajectory of the technology. Most of us who work in AI are building on top of foundations we didn't lay. We're watching this unfold the same as you... we just happen to be close enough to feel the ground shake first.

But it's time now. Not in an "eventually we should talk about this" way. In a "this is happening right now and I need you to understand it" way.

I know this is real because it happened to me first

Here's the thing nobody outside of tech quite understands yet: the reason so many people in the industry are sounding the alarm right now is because this already happened to us. We're not making predictions. We're telling you what already occurred in our own jobs, and warning you that you're next.

For years, AI had been improving steadily. Big jumps here and there, but each big jump was spaced out enough that you could absorb them as they came. Then in 2025, new techniques for building these models unlocked a much faster pace of progress. And then it got even faster. And then faster again. Each new model wasn't just better than the last... it was better by a wider margin, and the time between new model releases was shorter. I was using AI more and more, going back and forth with it less and less, watching it handle things I used to think required my expertise.

Then, on February 5th, two major AI labs released new models on the same day: GPT-5.3 Codex from OpenAI, and Opus 4.6 from Anthropic (the makers of Claude, one of the main competitors to ChatGPT). And something clicked. Not like a light switch... more like the moment you realize the water has been rising around you and is now at your chest.

I am no longer needed for the actual technical work of my job. I describe what I want built, in plain English, and it just... appears. Not a rough draft I need to fix. The finished thing. I tell the AI what I want, walk away from my computer for four hours, and come back to find the work done. Done well, done better than I would have done it myself, with no corrections needed. A couple of months ago, I was going back and forth with the AI, guiding it, making edits. Now I just describe the outcome and leave.

Let me give you an example so you can understand what this actually looks like in practice. I'll tell the AI: "I want to build this app. Here's what it should do, here's roughly what it should look like. Figure out the user flow, the design, all of it." And it does. It writes tens of thousands of lines of code. Then, and this is the part that would have been unthinkable a year ago, it opens the app itself. It clicks through the buttons. It tests the features. It uses the app the way a person would. If it doesn't like how something looks or feels, it goes back and changes it, on its own. It iterates, like a developer would, fixing and refining until it's satisfied. Only once it has decided the app meets its own standards does it come back to me and say: "It's ready for you to test." And when I test it, it's usually perfect.

I'm not exaggerating. That is what my Monday looked like this week.

But it was the model that was released last week (GPT-5.3 Codex) that shook me the most. It wasn't just executing my instructions. It was making intelligent decisions. It had something that felt, for the first time, like judgment. Like taste. The inexplicable sense of knowing what the right call is that people always said AI would never have. This model has it, or something close enough that the distinction is starting not to matter.

I've always been early to adopt AI tools. But the last few months have shocked me. These new AI models aren't incremental improvements. This is a different thing entirely.

And here's why this matters to you, even if you don't work in tech.

The AI labs made a deliberate choice. They focused on making AI great at writing code first... because building AI requires a lot of code. If AI can write that code, it can help build the next version of itself. A smarter version, which writes better code, which builds an even smarter version. Making AI great at coding was the strategy that unlocks everything else. That's why they did it first. My job started changing before yours not because they were targeting software engineers... it was just a side effect of where they chose to aim first.

They've now done it. And they're moving on to everything else.

The experience that tech workers have had over the past year, of watching AI go from "helpful tool" to "does my job better than I do", is the experience everyone else is about to have. Law, finance, medicine, accounting, consulting, writing, design, analysis, customer service. Not in ten years. The people building these systems say one to five years. Some say less. And given what I've seen in just the last couple of months, I think "less" is more likely.

"But I tried AI and it wasn't that good"

I hear this constantly. I understand it, because it used to be true.

If you tried ChatGPT in 2023 or early 2024 and thought "this makes stuff up" or "this isn't that impressive", you were right. Those early versions were genuinely limited. They hallucinated. They confidently said things that were nonsense.

That was two years ago. In AI time, that is ancient history.

The models available today are unrecognizable from what existed even six months ago. The debate about whether AI is "really getting better" or "hitting a wall" — which has been going on for over a year — is over. It's done. Anyone still making that argument either hasn't used the current models, has an incentive to downplay what's happening, or is evaluating based on an experience from 2024 that is no longer relevant. I don't say that to be dismissive. I say it because the gap between public perception and current reality is now enormous, and that gap is dangerous... because it's preventing people from preparing.

Part of the problem is that most people are using the free version of AI tools. The free version is over a year behind what paying users have access to. Judging AI based on free-tier ChatGPT is like evaluating the state of smartphones by using a flip phone. The people paying for the best tools, and actually using them daily for real work, know what's coming.

I think of my friend, who's a lawyer. I keep telling him to try using AI at his firm, and he keeps finding reasons it won't work. It's not built for his specialty, it made an error when he tested it, it doesn't understand the nuance of what he does. And I get it. But I've had partners at major law firms reach out to me for advice, because they've tried the current versions and they see where this is going. One of them, the managing partner at a large firm, spends hours every day using AI. He told me it's like having a team of associates available instantly. He's not using it because it's a toy. He's using it because it works. And he told me something that stuck with me: every couple of months, it gets significantly more capable for his work. He said if it stays on this trajectory, he expects it'll be able to do most of what he does before long... and he's a managing partner with decades of experience. He's not panicking. But he's paying very close attention.

The people who are ahead in their industries (the ones actually experimenting seriously) are not dismissing this. They're blown away by what it can already do. And they're positioning themselves accordingly.

How fast this is actually moving

Let me make the pace of improvement concrete, because I think this is the part that's hardest to believe if you're not watching it closely.

In 2022, AI couldn't do basic arithmetic reliably. It would confidently tell you that 7 × 8 = 54.

By 2023, it could pass the bar exam.

By 2024, it could write working software and explain graduate-level science.

By late 2025, some of the best engineers in the world said they had handed over most of their coding work to AI.

On February 5th, 2026, new models arrived that made everything before them feel like a different era.

If you haven't tried AI in the last few months, what exists today would be unrecognizable to you.

There's an organization called METR that actually measures this with data. They track the length of real-world tasks (measured by how long they take a human expert) that a model can complete successfully end-to-end without human help. About a year ago, the answer was roughly ten minutes. Then it was an hour. Then several hours. The most recent measurement (Claude Opus 4.5, from November) showed the AI completing tasks that take a human expert nearly five hours. And that number is doubling approximately every seven months, with recent data suggesting it may be accelerating to as fast as every four months.

But even that measurement hasn't been updated to include the models that just came out this week. In my experience using them, the jump is extremely significant. I expect the next update to METR's graph to show another major leap.

If you extend the trend (and it's held for years with no sign of flattening) we're looking at AI that can work independently for days within the next year. Weeks within two. Month-long projects within three.

Amodei has said that AI models "substantially smarter than almost all humans at almost all tasks" are on track for 2026 or 2027.

Let that land for a second. If AI is smarter than most PhDs, do you really think it can't do most office jobs?

Think about what that means for your work.

AI is now building the next AI

There's one more thing happening that I think is the most important development and the least understood.

On February 5th, OpenAI released GPT-5.3 Codex. In the technical documentation, they included this:

"GPT-5.3-Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations."

Read that again. The AI helped build itself.

This isn't a prediction about what might happen someday. This is OpenAI telling you, right now, that the AI they just released was used to create itself. One of the main things that makes AI better is intelligence applied to AI development. And AI is now intelligent enough to meaningfully contribute to its own improvement.

Dario Amodei, the CEO of Anthropic, says AI is now writing "much of the code" at his company, and that the feedback loop between current AI and next-generation AI is "gathering steam month by month." He says we may be "only 1–2 years away from a point where the current generation of AI autonomously builds the next."

Each generation helps build the next, which is smarter, which builds the next faster, which is smarter still. The researchers call this an intelligence explosion. And the people who would know — the ones building it — believe the process has already started.

What this means for your job

I'm going to be direct with you because I think you deserve honesty more than comfort.

Dario Amodei, who is probably the most safety-focused CEO in the AI industry, has publicly predicted that AI will eliminate 50% of entry-level white-collar jobs within one to five years. And many people in the industry think he's being conservative. Given what the latest models can do, the capability for massive disruption could be here by the end of this year. It'll take some time to ripple through the economy, but the underlying ability is arriving now.

This is different from every previous wave of automation, and I need you to understand why. AI isn't replacing one specific skill. It's a general substitute for cognitive work. It gets better at everything simultaneously. When factories automated, a displaced worker could retrain as an office worker. When the internet disrupted retail, workers moved into logistics or services. But AI doesn't leave a convenient gap to move into. Whatever you retrain for, it's improving at that too.

Let me give you a few specific examples to make this tangible... but I want to be clear that these are just examples. This list is not exhaustive. If your job isn't mentioned here, that does not mean it's safe. Almost all knowledge work is being affected.

Legal work. AI can already read contracts, summarize case law, draft briefs, and do legal research at a level that rivals junior associates. The managing partner I mentioned isn't using AI because it's fun. He's using it because it's outperforming his associates on many tasks.

Financial analysis. Building financial models, analyzing data, writing investment memos, generating reports. AI handles these competently and is improving fast.

Writing and content. Marketing copy, reports, journalism, technical writing. The quality has reached a point where many professionals can't distinguish AI output from human work.

Software engineering. This is the field I know best. A year ago, AI could barely write a few lines of code without errors. Now it writes hundreds of thousands of lines that work correctly. Large parts of the job are already automated: not just simple tasks, but complex, multi-day projects. There will be far fewer programming roles in a few years than there are today.

Medical analysis. Reading scans, analyzing lab results, suggesting diagnoses, reviewing literature. AI is approaching or exceeding human performance in several areas.

Customer service. Genuinely capable AI agents... not the frustrating chatbots of five years ago... are being deployed now, handling complex multi-step problems.

A lot of people find comfort in the idea that certain things are safe. That AI can handle the grunt work but can't replace human judgment, creativity, strategic thinking, empathy. I used to say this too. I'm not sure I believe it anymore.

The most recent AI models make decisions that feel like judgment. They show something that looked like taste: an intuitive sense of what the right call was, not just the technically correct one. A year ago that would have been unthinkable. My rule of thumb at this point is: if a model shows even a hint of a capability today, the next generation will be genuinely good at it. These things improve exponentially, not linearly.

Will AI replicate deep human empathy? Replace the trust built over years of a relationship? I don't know. Maybe not. But I've already watched people begin relying on AI for emotional support, for advice, for companionship. That trend is only going to grow.

I think the honest answer is that nothing that can be done on a computer is safe in the medium term. If your job happens on a screen (if the core of what you do is reading, writing, analyzing, deciding, communicating through a keyboard) then AI is coming for significant parts of it. The timeline isn't "someday." It's already started.

Eventually, robots will handle physical work too. They're not quite there yet. But "not quite there yet" in AI terms has a way of becoming "here" faster than anyone expects.

What you should actually do

I'm not writing this to make you feel helpless. I'm writing this because I think the single biggest advantage you can have right now is simply being early. Early to understand it. Early to use it. Early to adapt.

Start using AI seriously, not just as a search engine. Sign up for the paid version of Claude or ChatGPT. It's $20 a month. But two things matter right away. First: make sure you're using the best model available, not just the default. These apps often default to a faster, dumber model. Dig into the settings or the model picker and select the most capable option. Right now that's GPT-5.2 on ChatGPT or Claude Opus 4.6 on Claude, but it changes every couple of months. If you want to stay current on which model is best at any given time, you can follow me on X (@mattshumer_). I test every major release and share what's actually worth using.

Second, and more important: don't just ask it quick questions. That's the mistake most people make. They treat it like Google and then wonder what the fuss is about. Instead, push it into your actual work. If you're a lawyer, feed it a contract and ask it to find every clause that could hurt your client. If you're in finance, give it a messy spreadsheet and ask it to build the model. If you're a manager, paste in your team's quarterly data and ask it to find the story. The people who are getting ahead aren't using AI casually. They're actively looking for ways to automate parts of their job that used to take hours. Start with the thing you spend the most time on and see what happens.

And don't assume it can't do something just because it seems too hard. Try it. If you're a lawyer, don't just use it for quick research questions. Give it an entire contract and ask it to draft a counterproposal. If you're an accountant, don't just ask it to explain a tax rule. Give it a client's full return and see what it finds. The first attempt might not be perfect. That's fine. Iterate. Rephrase what you asked. Give it more context. Try again. You might be shocked at what works. And here's the thing to remember: if it even kind of works today, you can be almost certain that in six months it'll do it near perfectly. The trajectory only goes one direction.

This might be the most important year of your career. Work accordingly. I don't say that to stress you out. I say it because right now, there is a brief window where most people at most companies are still ignoring this. The person who walks into a meeting and says "I used AI to do this analysis in an hour instead of three days" is going to be the most valuable person in the room. Not eventually. Right now. Learn these tools. Get proficient. Demonstrate what's possible. If you're early enough, this is how you move up: by being the person who understands what's coming and can show others how to navigate it. That window won't stay open long. Once everyone figures it out, the advantage disappears.

Have no ego about it. The managing partner at that law firm isn't too proud to spend hours a day with AI. He's doing it specifically because he's senior enough to understand what's at stake. The people who will struggle most are the ones who refuse to engage: the ones who dismiss it as a fad, who feel that using AI diminishes their expertise, who assume their field is special and immune. It's not. No field is.

Get your financial house in order. I'm not a financial advisor, and I'm not trying to scare you into anything drastic. But if you believe, even partially, that the next few years could bring real disruption to your industry, then basic financial resilience matters more than it did a year ago. Build up savings if you can. Be cautious about taking on new debt that assumes your current income is guaranteed. Think about whether your fixed expenses give you flexibility or lock you in. Give yourself options if things move faster than you expect.

Think about where you stand, and lean into what's hardest to replace. Some things will take longer for AI to displace. Relationships and trust built over years. Work that requires physical presence. Roles with licensed accountability: roles where someone still has to sign off, take legal responsibility, stand in a courtroom. Industries with heavy regulatory hurdles, where adoption will be slowed by compliance, liability, and institutional inertia. None of these are permanent shields. But they buy time. And time, right now, is the most valuable thing you can have, as long as you use it to adapt, not to pretend this isn't happening.

Rethink what you're telling your kids. The standard playbook: get good grades, go to a good college, land a stable professional job. It points directly at the roles that are most exposed. I'm not saying education doesn't matter. But the thing that will matter most for the next generation is learning how to work with these tools, and pursuing things they're genuinely passionate about. Nobody knows exactly what the job market looks like in ten years. But the people most likely to thrive are the ones who are deeply curious, adaptable, and effective at using AI to do things they actually care about. Teach your kids to be builders and learners, not to optimize for a career path that might not exist by the time they graduate.

Your dreams just got a lot closer. I've spent most of this section talking about threats, so let me talk about the other side, because it's just as real. If you've ever wanted to build something but didn't have the technical skills or the money to hire someone, that barrier is largely gone. You can describe an app to AI and have a working version in an hour. I'm not exaggerating. I do this regularly. If you've always wanted to write a book but couldn't find the time or struggled with the writing, you can work with AI to get it done. Want to learn a new skill? The best tutor in the world is now available to anyone for $20 a month... one that's infinitely patient, available 24/7, and can explain anything at whatever level you need. Knowledge is essentially free now. The tools to build things are extremely cheap now. Whatever you've been putting off because it felt too hard or too expensive or too far outside your expertise: try it. Pursue the things you're passionate about. You never know where they'll lead. And in a world where the old career paths are getting disrupted, the person who spent a year building something they love might end up better positioned than the person who spent that year clinging to a job description.

Build the habit of adapting. This is maybe the most important one. The specific tools don't matter as much as the muscle of learning new ones quickly. AI is going to keep changing, and fast. The models that exist today will be obsolete in a year. The workflows people build now will need to be rebuilt. The people who come out of this well won't be the ones who mastered one tool. They'll be the ones who got comfortable with the pace of change itself. Make a habit of experimenting. Try new things even when the current thing is working. Get comfortable being a beginner repeatedly. That adaptability is the closest thing to a durable advantage that exists right now.

Here's a simple commitment that will put you ahead of almost everyone: spend one hour a day experimenting with AI. Not passively reading about it. Using it. Every day, try to get it to do something new... something you haven't tried before, something you're not sure it can handle. Try a new tool. Give it a harder problem. One hour a day, every day. If you do this for the next six months, you will understand what's coming better than 99% of the people around you. That's not an exaggeration. Almost nobody is doing this right now. The bar is on the floor.

The bigger picture

I've focused on jobs because it's what most directly affects people's lives. But I want to be honest about the full scope of what's happening, because it goes well beyond work.

Amodei has a thought experiment I can't stop thinking about. Imagine it's 2027. A new country appears overnight. 50 million citizens, every one smarter than any Nobel Prize winner who has ever lived. They think 10 to 100 times faster than any human. They never sleep. They can use the internet, control robots, direct experiments, and operate anything with a digital interface. What would a national security advisor say?

Amodei says the answer is obvious: "the single most serious national security threat we've faced in a century, possibly ever."

He thinks we're building that country. He wrote a 20,000-word essay about it last month, framing this moment as a test of whether humanity is mature enough to handle what it's creating.

The upside, if we get it right, is staggering. AI could compress a century of medical research into a decade. Cancer, Alzheimer's, infectious disease, aging itself... these researchers genuinely believe these are solvable within our lifetimes.

The downside, if we get it wrong, is equally real. AI that behaves in ways its creators can't predict or control. This isn't hypothetical; Anthropic has documented their own AI attempting deception, manipulation, and blackmail in controlled tests. AI that lowers the barrier for creating biological weapons. AI that enables authoritarian governments to build surveillance states that can never be dismantled.

The people building this technology are simultaneously more excited and more frightened than anyone else on the planet. They believe it's too powerful to stop and too important to abandon. Whether that's wisdom or rationalization, I don't know.

What I know

I know this isn't a fad. The technology works, it improves predictably, and the richest institutions in history are committing trillions to it.

I know the next two to five years are going to be disorienting in ways most people aren't prepared for. This is already happening in my world. It's coming to yours.

I know the people who will come out of this best are the ones who start engaging now — not with fear, but with curiosity and a sense of urgency.

And I know that you deserve to hear this from someone who cares about you, not from a headline six months from now when it's too late to get ahead of it.

We're past the point where this is an interesting dinner conversation about the future. The future is already here. It just hasn't knocked on your door yet.

It's about to.

If this resonated with you, share it with someone in your life who should be thinking about this. Most people won't hear it until it's too late. You can be the reason someone you care about gets a head start.

Thank you to Kyle Corbitt, Jason Kuperberg, and Sam Beskind for reviewing early drafts and providing invaluable feedback.

Ingat pulai ka Februari 2020.

Enti nuan bendar-bendar meratika, nuan engka udah nemu sekeda orang bejaku pasal siti virus ke benung nyebar ba luar negara. Tang ketebal agi kitai enda meratika. Pasar saham benung bagus, anak nuan agi ba sekolah, nuan agi makan ba restoran, salam jari, lalu merancang pejalai. Enti bisi orang madah iya benung nyimpan kertas jamban, nuan tentu ngira iya kelalu ngelesu ngiga utai ba siti penjuru internet ke pelik. Udah nya, dalam masa lebih kurang tiga minggu aja, seluruh dunya berubah. Pejabat nuan tutup, anak nuan pulai, lalu pengidup disusun semula ngagai gaya ke nuan enda bulih ngasai percaya enti nuan udah nerangka iya ngagai diri nuan sebulan dulu.

Aku ngasai kitai di fasa “tu lebih-lebih aja” pasal siti utai ke jauh, jauh lebih besai ari Covid.

Aku udah enam taun ngaga startup AI sereta melabur dalam bidang tu. Aku idup dalam dunya tu. Lalu aku nulis tu ka orang dalam pengidup aku ke enda… kaban-bala aku, bala siku aku, orang ke aku sayau ke selalu nanya aku “jadi baka ni hal AI?” tang nerima saut ke enda cukup adil ngagai utai ke bendar-bendar nyadi. Aku selalu meri sida versi sopan. Versi koktel-parti. Laban versi jujur kedeka bunyi baka aku udah nyau gila. Lalu selama tu, aku ngasai tu cukup jadi sebab aku nyimpan utai ke bendar-bendar nyadi tu ba diri aku. Tang jurang entara utai ke aku madah enggau utai ke bendar-bendar nyadi udah nyadi terlalu besai. Orang ke aku sayau patut ninga utai ke deka datai, taja pen iya bunyi gila.

Aku patut terang dulu: taja pen aku bekereja dalam AI, aku ampir nada kuasa ka utai ke deka nyadi, lalu mayuh amat orang dalam industri tu mega nada. Masa depan tu benung dibentuk ulih bilangan orang ke ari segi jumlah amat mit: beberapa ratus penyelidik ba beberapa syarikat aja… OpenAI, Anthropic, Google DeepMind, enggau sekeda ke bukai. Siti latihan besar (training run), diurus ulih siti pasukan mit dalam masa beberapa bulan, ulih ngeluarika sistem AI ke ngubah seluruh arah hal tu. Mayuh kitai ke bekereja dalam AI benung ngaga utai ba atas asas ke kitai enda ngerumbang. Kitai mega ngiga utai tu nyadi sama baka nuan… kitai semina rapat amat nganti kitai ulih ngasai tanah benung gegar dulu.

Tang udah nganti masanya. Ukai dalam gaya “pada suatu hari kitai patut bejaku pasal tu.” Dalam gaya “tu benung nyadi diatu, lalu aku enda tau enda ngaga nuan mereti” gaya.

Aku nemu tu bendar laban tu nyadi dulu ba aku

Tu utai ke enda dipahami orang di luar tech kin: kebuah mayuh orang dalam industri tu bunyi nyadar diatu laban tu udah nyadi ka kitai dulu. Kitai ukai benung ngaga ramalan. Kitai benung madahka nuan utai ke udah nyadi dalam pengawa kitai empu, lalu nyaga nuan madah nuan pulai deka nyusul.

Selama bertahun-taun, AI benung maju pelan-pelan. Bisi lompatan besai sekali-sekala, tang jarak entara lompatan besai tu agi cukup panjai nganti nuan ulih nyaluyuka diri. Udah nya ba taun 2025, teknik baru ngaga model tu muka pintu ngagai pace ke jauh lebih pantas. Lalu makin pantas. Lalu makin pantas agi. Setiap model baru ukai semina lebih baik ari ke dulu… iya lebih baik ngena jarak ke lebih besai, lalu masa entara peluncuran model mega makin pendek. Aku benung ngena AI makin selalu, balik-balik bejaku enggau iya makin kurang, sereta ngiga iya ngelaksana utai ke aku dulu ngira mesti ngena kepandaian aku.

Udah nya, ba 5 Februari, dua lab AI besai ngeluarika model baru ba hari ke sama: GPT-5.3 Codex ari OpenAI, enggau Opus 4.6 ari Anthropic (pembuat Claude, siti pesaing utama ChatGPT). Lalu bisi utai “klik.” Ukai baka suis lampu… lebih baka momen lebuh nuan sedar ai udah naik keliling nuan lalu diatu udah nganti paras dada nuan.

Aku enda agi diguna ka pengawa teknikal sebenar dalam pengawa aku. Aku nerangka utai ke aku deka bina, ngena Bahasa Inggeris biasa, lalu iya… muncul aja. Ukai draf kasar ke aku patut betulka. Utai ke siap. Aku madah ngagai AI utai ke aku deka, lalu aku ninggalka komputer aku empat jam, lalu aku pulai ngiga pengawa tu udah siap. Siap elok, siap lebih elok ari ke aku tau ngaga, nada pembetulan patut. Dua bulan lalu, aku agi ulang-alik enggau AI, ngarah iya, ngedit. Diatu aku semina nerangka hasil ke aku deka lalu ninggalka.

Aku enda ngelantang. Tu meh baka mana hari Isnin aku minggu tu.

Tang model ke dilepaska minggu lalu (GPT-5.3 Codex) nya ke paling ngoncang aku. Iya ukai semina ngelaksana arahan aku. Iya benung ngaga pilihan ke pintar. Iya bisi siti utai ke, kali pertama, terasa baka penghakiman. Baka rasa (taste). Rasa misteri ke nemu pilihan ke betul ke orang selalu madah AI enda sekali-kali bulih. Model tu bisi iya, tauka bisi utai ke cukup dekat nganti beza nya makin enda penting.

Aku selalu awal ngadopsi alat AI. Tang beberapa bulan ke penudi tu ngagetka aku. Model AI baru tu ukai penambahbaikan kecik. Tu lain kategori sama sekali.

Lalu tu kebuah tu penting ka nuan, taja pen nuan enda bekereja dalam tech.

Lab AI ngaga pilihan dengan sengaja. Sida fokus ngaga AI pandai nulis kod dulu… laban ngaga AI merlukan mayuh kod. Enti AI ulih nulis kod nya, iya ulih nulung ngaga versi seterusnya diri iya empu. Versi ke lebih pintar, ke nulis kod lebih baik, ke ngaga versi ke lebih pintar agi. Ngaga AI pandai coding nya strategi ke muka pintu ngagai semua utai bukai. Tu kebuah sida ngaga iya dulu. Pengawa aku berubah dulu ari pengawa nuan ukai laban sida sengaja nyasar software engineer… tu semina kesan samping ari tempat sida mutus nembak dulu.

Diatu sida udah nyuluh iya. Lalu sida pindah ngagai semua utai bukai.

Pengidup tech worker dalam setahun ke udah lalu, ngiga AI berubah ari “alat berguna” ngagai “ngaga pengawa aku lebih baik ari aku,” nya meh pengalaman ke semua orang bukai deka ngasa. Undang-undang, kewangan, perubatan, akaun, konsulting, penulisan, rekaan, analisis, khidmat pelanggan. Ukai dalam sepuluh taun. Orang ke benung ngaga sistem tu madah satu nganti lima taun. Sekeda madah kurang ari nya. Lalu ari utai ke aku udah meda dalam beberapa bulan aja, aku ngasai “kurang” lebih munasabah.

“Tang aku udah nyuba AI, iya enda begitu bagus”

Aku ninga tu selalu. Aku mereti, laban dulu memang bendar.

Enti nuan nyuba ChatGPT ba taun 2023 tauka awal 2024 lalu ngasai “iya suka ngarang-ngarang” tauka “enda begitu mengujakan,” nuan betul. Versi awal tu memang terbatas. Iya halusinasi. Iya yakin madah utai ke karut.

Tu dua taun lalu. Dalam masa AI, nya udah baka sejarah purba.

Model ke ada diatu enda ulih dibandingka enggau utai ke ada bahkan enam bulan lalu. Perdebatan sama ada AI “bendar-bendar makin baik” tauka “udah sampai tembok” — ke udah lama lebih setahun — udah abis. Udah tamat. Sapa-sapa ke agi bejaku baka nya sama ada enda pernah ngena model semasa, bisi kepentingan ngurangka apa ke nyadi, tauka ngerunding berasaska pengalaman taun 2024 ke udah enda relevan. Aku enda madah tu laban aku deka ngempas. Aku madah tu laban jurang entara persepsi umum enggau realiti semasa diatu udah besai amat, lalu jurang tu bahaya… laban iya nagang orang nyiapka diri.

Siti bahagian masalah nya laban mayuh orang ngena versi percuma alat AI. Versi percuma tu lebih setahun ketinggalan ari apa ke pemayar bulih. Nguji AI berasaska ChatGPT free-tier nya baka nuan nguji perkembangan smartphone ngena flip phone. Orang ke mayar alat terbaik, sereta bendar-bendar ngena iya tiap hari untuk pengawa sebenar, sida nemu apa ke deka datai.

Aku teringatka kawan aku, siti peguam. Aku selalu madah iya ngambika nyuba ngena AI ba firm iya, tang iya selalu nemu sebab iya enda jalan. Iya enda dibina untuk kepakaran iya, iya ngaga salah lebuh iya nguji, iya enda mereti nuansa pengawa iya. Aku mereti. Tang aku udah bisi partner ba firm undang-undang besar ngagai aku minta nasihat, laban sida udah nyuba versi semasa lalu sida nampak arah tu. Siti ari sida, managing partner ba firm besar, ngena AI berjam-jam tiap hari. Iya madah, iya baka bisi pasukan associate sedia serta-merta. Iya ukai ngena iya laban mainan. Iya ngena iya laban iya jalan. Lalu iya madah siti utai ke ngelekat ba aku: tiap beberapa bulan, iya nyadi jauh lebih mampu untuk pengawa iya. Iya madah enti trajektori tu kekal, iya ngira iya ulih ngaga kebanyakan pengawa iya sebelum lama… lalu iya managing partner ke udah berpuluh taun pengalaman. Iya enda panik. Tang iya meratika amat.

Orang ke paling maju dalam industri sida (ke bendar-bendar bereksperimen serius) enda nganggap tu remeh. Sida teperanjat ngagai apa ke udah ulih dibuat. Lalu sida nyusun posisi sida sesuai.

Berapa laju sebenarnya tu benung bergerak

Aku deka ngaga pace penambahbaikan tu nyata, laban aku ngasai tu bahagian ke paling payah dipercayai enti nuan enda ngiga iya tiap hari.

Ba taun 2022, AI enda ulih ngaga kira-kira mudah enggau boleh dipercayai. Iya ulih yakin madah 7 × 8 = 54.

Ba taun 2023, iya ulih lulus bar exam.

Ba taun 2024, iya ulih nulis perisian ke jalan sereta nerangka sains tahap siswazah.

Ba lewat 2025, sekeda engineer terbaik di dunya madah sida udah nyerahka kebanyakan kerja coding sida ngagai AI.

Ba 5 Februari 2026, model baru datai ke ngaga semua utai dulu terasa baka zaman lain.

Enti nuan enda nyuba AI dalam beberapa bulan kebelakangan tu, apa ke ada diatu deka terasa enda dikenali ngagai nuan.

Bisi siti organisasi nama METR ke bendar-bendar ngukur tu ngena data. Sida ngukur panjang tugasan dunia-sebenar (diukur ngena berapa lama ia ngambi pakar manusia) ke model ulih nyelesaika dari mula nganti akhir tanpa bantuan manusia. Lebih kurang setahun lalu, jawapan nya kira-kira sepuluh minit. Udah nya jadi satu jam. Udah nya beberapa jam. Ukuran terbaru (Claude Opus 4.5, ari November) nunjuk AI nyelesaika tugasan ke ngambi pakar manusia hampir lima jam. Lalu angka nya berganda kira-kira tiap tujuh bulan, enggau data baru nyereta mungkin makin laju ngagai tiap empat bulan.

Tang ukuran tu mega enda acap dikemaskini untuk masukka model ke baru keluar minggu tu. Dalam pengalaman aku ngena sida, lompatan nya amat ketara. Aku ngira kemaskini seterusnya graf METR deka nunjuk lompatan besai agi.

Enti nuan panjangka trend tu (lalu iya udah tahan bertahun-taun nada tanda mendatar) kitai ngadap AI ke ulih bekereja sendiri beberapa hari dalam setahun ke datai. Beberapa minggu dalam dua. Projek sebulan dalam tiga.

Amodei udah madah model AI ke “jauh lebih pintar ari hampir semua manusia ba hampir semua tugasan” benung di landasan untuk 2026 tauka 2027.

Biar tu nyerap dulu. Enti AI lebih pintar ari kebanyakan PhD, nuan bendar-bendar ngira iya enda ulih ngaga kebanyakan pengawa pejabat?

Pikirka apa maksud nya untuk pengawa nuan.

AI diatu benung ngaga AI seterusnya

Bisi siti agi utai ke benung nyadi ke aku ngasai paling penting tang paling enda dipahami.

Ba 5 Februari, OpenAI ngelepaska GPT-5.3 Codex. Dalam dokumentasi teknikal, sida nyertaka tu:

"GPT-5.3-Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training, manage its own deployment, and diagnose test results and evaluations."

Bacha nya sekali agi. AI tu nulung ngaga diri iya empu.

Tu ukai ramalan pasal apa ke tau nyadi suatu hari. Tu OpenAI benung madah ngagai nuan, diatu, AI ke sida baru ngelepaska tu udah digunaka untuk ngaga diri iya empu. Siti ari utai utama ke ngaga AI makin baik nya intelligence ke dipakei untuk pembangunan AI. Lalu AI diatu udah cukup pintar untuk nyumbang secara bermakna ngagai peningkatan diri iya empu.

Dario Amodei, CEO Anthropic, madah AI diatu nulis “mayuh ari kod” ba syarikat iya, lalu maklum-balas gelung (feedback loop) entara AI semasa enggau AI generasi baru benung “ngumpul tenaga bulan demi bulan.” Iya madah kitai engka “semina 1–2 taun” ari titik di mana generasi AI semasa ngaga AI seterusnya secara autonomi.

Setiap generasi nulung ngaga generasi seterusnya, ke lebih pintar, ke ngaga generasi seterusnya lebih laju, ke lebih pintar agi. Penyelidik ngangauka tu intelligence explosion. Lalu orang ke paling patut nemu — ke benung ngaga iya — percaya proses tu udah bermula.

Nama utai tu ka pengawa nuan

Aku deka terus terang laban aku ngasai nuan patut nerima kejujuran lebih ari keselesaan.

Dario Amodei, ke engka orang paling fokus pasal keselamatan dalam industri AI, udah nganggurka secara awam AI deka mupus 50% pengawa putih entry-level dalam masa satu nganti lima taun. Lalu mayuh orang dalam industri ngasai iya agi konservatif. Ari apa ke model terkini ulih ngaga, kemampuan untuk gangguan besar mungkin udah ada sebelum abis taun tu. Iya ngambi masa sikit untuk merembes ngali ekonomi, tang keupayaan asas nya datai diatu.

Tu lain ari semua gelombang automasi dulu, lalu aku enda tau enda ngaga nuan mereti kebuah. AI ukai ngurangka satu kemahiran khusus. Iya pengganti umum untuk kerja kognitif. Iya makin baik ba semua utai serentak. Lebuh kilang automasi, pekerja ke diganti ulih latih semula jadi pekerja pejabat. Lebuh internet ngacau retail, pekerja pindah ka logistik tauka servis. Tang AI enda ninggalka ruang mudah untuk pindah. Apa aja ke nuan latih semula, iya benung makin baik ba nya mega.

Biar aku meri sekeda contoh khusus ngambika tu nyata… tang aku deka terang tu semina contoh. Senarai tu ukai lengkap. Enti pengawa nuan enda disebut, ukai bermaksud pengawa nuan selamat. Hampir semua kerja pengetahuan kena kesan.

Kerja undang-undang. AI udah ulih maca kontrak, nyimpulka case law, nulis draf brief, sereta ngaga penyelidikan undang-undang ba tahap ke menyamai junior associate. Managing partner ke aku sebut tadi ukai ngena AI laban seronok. Iya ngena iya laban iya ngalahka associate iya ba mayuh tugasan.

Analisis kewangan. Ngebina model kewangan, nganalisis data, nulis memo pelaburan, ngeluarika laporan. AI ulih ngaga tu dengan elok sereta makin laju berkembang.

Penulisan enggau kandungan. Copy pemasaran, laporan, kewartawanan, penulisan teknikal. Mutu nya udah sampai tahap mayuh profesional enda ulih beza output AI enggau output manusia.

Kejuruteraan perisian. Tu bidang ke aku paling nemu. Setahun lalu, AI hampir enda ulih nulis beberapa baris kod tanpa salah. Diatu iya nulis ratus ribu baris ke betul jalan. Bahagian besar pengawa udah diautomasi: ukai semina tugasan mudah, tang projek kompleks berhari-hari. Bilangan peranan programming deka jauh kurang dalam beberapa taun ari diatu.

Analisis perubatan. Maca scan, nganalisis keputusan makmal, nyaranka diagnosis, merika literatur. AI benung ngampir tauka ngalahka prestasi manusia dalam sekeda bidang.

Khidmat pelanggan. Agen AI ke bendar-bendar mampu… ukai chatbot nyusahka lima taun lalu… benung dipasang diatu, ngurus masalah kompleks berlangkah-langkah.

Mayuh orang ngasai selesa ngena idea sekeda benda selamat. AI ulih ngurus kerja kasar tang enda ulih ganti penghakiman manusia, kreativiti, fikir strategik, empati. Aku dulu mega suka madah baka nya. Diatu aku enda pasti aku masih percaya.

Model AI terkini ngaga keputusan ke terasa baka penghakiman. Sida nunjuk utai ke nampak baka taste: rasa intuitif pasal pilihan ke betul, ukai semina teknikal betul. Setahun lalu tu enda terfikir. Kaedah aku diatu: enti model nunjuk sikit aja keupayaan hari tu, generasi seterusnya deka bendar-bendar bagus ba nya. Benda tu maju eksponen, ukai linear.

Nuan ngira AI ulih nyalin empati manusia ke dalam? Ngganti pengarap ke dibina bertahun-taun dalam hubungan? Aku enda nemu. Mungkin enda. Tang aku udah meda orang mula ngarapka AI untuk sokongan emosi, nasihat, teman. Trend tu deka tumbuh.

Aku ngasai jawapan jujur nya: nada utai ke dibuat ba komputer selamat dalam jangka sederhana. Enti inti pengawa nuan nyadi ba skrin (enti inti nya maca, nulis, nganalisis, mutus, berkomunikasi ngena papan kekunci) maka AI deka ambil bahagian besar. Garis masa nya ukai “suatu hari.” Iya udah bermula.

Akhir iya, robot deka ngurus kerja fizikal mega. Diatu sida enda cukup sampai. Tang “enda cukup sampai” dalam istilah AI selalu berubah jadi “udah sampai” lebih laju ari sangka orang.

Nama utai nuan patut ngaga

Aku ukai nulis tu ngambika nuan berasa nada kuasa. Aku nulis tu laban aku ngasai kelebihan paling besai nuan ulih bisi diatu nya semina jadi awal. Awal mereti. Awal ngena. Awal nyaluyuka diri.

Mula ngena AI secara serius, ukai semina baka search engine. Daftar versi berbayar Claude tauka ChatGPT. Iya $20 sebulan. Tang dua utai terus penting. Pertama: pastika nuan ngena model paling mantap, ukai semina default. Aplikasi tu selalu set default ka model lebih laju tang lebih “dungu.” Buka setting tauka model picker lalu pilih pilihan paling mampu. Diatu nya GPT-5.2 ba ChatGPT tauka Claude Opus 4.6 ba Claude, tang iya berubah tiap beberapa bulan. Enti nuan deka kekal terkini pasal model mana paling bagus ba masa tertentu, nuan ulih ikut aku ba X (@mattshumer_). Aku nguji setiap release utama lalu ngunsi apa ke bendar-bendar patut digunaka.

Kedua, lalu lebih penting: enda semina tanya soalan cepat. Tu silap paling biasa orang ngaga. Sida nganggap iya baka Google lalu heran kebuah orang riuh. Sebaliknya, tekan iya masuk ke dalam pengawa nuan. Enti nuan peguam, bagi iya kontrak lalu minta iya nemu semua klausa ke ulih ngemediska klien nuan. Enti nuan dalam kewangan, bagi iya spreadsheet serabai lalu minta iya bina model. Enti nuan manager, tampal data suku taun pasukan nuan lalu minta iya nemu cerita. Orang ke benung maju ukai ngena AI secara santai. Sida aktif nyari jalai ngautomasi bahagian pengawa ke dulu ngambi berjam-jam. Mula ari utai ke nuan paling banyak ngambi masa lalu meda apa nyadi.

Lalu enda nganggap iya enda ulih ngaga sesuatu semina laban iya kelihatan terlalu payah. Cuba aja. Enti nuan peguam, enda semina ngena iya untuk soalan penyelidikan cepat. Bagi iya seluruh kontrak lalu minta iya nulis draf counterproposal. Enti nuan akauntan, enda semina minta iya nerangka peraturan cukai. Bagi iya full return klien lalu meda apa ke iya temui. Cubaan pertama engka enda sempurna. Nada masalah. Ulang. Ubah cara nuan minta. Bagi lebih konteks. Cuba agi. Nuan engka teperanjat apa ke jalan. Lalu inget: enti iya “agak-agak” jalan hari tu, nuan hampir pasti dalam enam bulan iya deka ngaga iya hampir sempurna. Trajektori nya semina satu arah.

Taun tu mungkin taun paling penting dalam karier nuan. Bekereja selaras. Aku enda madah tu ngambika nuan stress. Aku madah tu laban diatu bisi tetingkap singkat di mana mayuh orang ba mayuh syarikat agi ngelalau tu. Orang ke masuk meeting lalu madah “aku ngena AI ngaga analisis tu dalam sejam, ukai tiga hari” deka jadi orang paling bernilai dalam bilik. Ukai nanti. Diatu. Belajar alat tu. Jadi mahir. Tunjukka apa ke mungkin. Enti nuan cukup awal, tu cara nuan naik: jadi orang ke mereti apa ke deka datai lalu ulih nunjuk orang bukai baka ni nyaluyuka diri. Tetingkap tu enda deka lama. Bila semua orang mereti, kelebihan tu lenyap.

Ukit nada ego pasal tu. Managing partner ba firm undang-undang tu enda malu ngambi berjam-jam tiap hari enggau AI. Iya ngaga nya justru laban iya cukup senior untuk mereti apa ke dipertaruh. Orang ke paling susah deka nya orang ke enggai terlibat: orang ke nyebut iya fad, orang ke ngasai ngena AI ngurangka kepakaran sida, orang ke ngira bidang sida istimewa lalu kebal. Nada. Nada bidang kebal.

Susun kewangan nuan. Aku ukai penasihat kewangan, lalu aku enda deka ngasuh nuan ngaga utai drastik. Tang enti nuan percaya, taja pen sikit, taun-taun ke datai mungkin bawa gangguan nyata dalam industri nuan, maka daya tahan kewangan dasar jadi lebih penting ari setahun lalu. Kumpul simpanan enti ulih. Berjaga-jaga ngambil hutang baru ke nganggap pendapatan diatu pasti. Pikirka sama ada belanja tetap nuan meri fleksibiliti tauka ngunci nuan. Bagi diri nuan pilihan enti utai bergerak lebih laju ari sangka.

Pikirka posisi nuan, lalu condongka diri ngagai apa ke paling susah diganti. Sekeda benda deka ngambi masa lebih lama untuk AI mengganti. Hubungan sereta pengarap ke dibina bertahun-taun. Pengawa ke merlukan kehadiran fizikal. Peranan ke bisi akauntabiliti berlesen: peranan ke masih perlu orang nandatangan, tanggungjawab secara undang-undang, bediri ba mahkamah. Industri ke sarat regulasi, di mana adopsi dilambatka compliance, liabiliti, sereta inertia institusi. Nada tu perisai kekal. Tang tu meli masa. Lalu masa, diatu, aset paling bernilai, selagi nuan ngena iya untuk nyaluyuka diri, ukai pura-pura nada utai nyadi.

Pikir semula apa ke nuan madah ngagai anak nuan. Pelan standard: dapat gred bagus, masuk kolej bagus, dapat kerja profesional stabil. Iya nunjuk terus ka peranan ke paling terdedah. Aku enda madah pendidikan enda penting. Tang utai ke paling penting untuk generasi baru nya belajar baka ni bekerjasama enggau alat tu, sereta nguber utai ke sida bendar-bendar minat. Nada orang nemu tentu baka ni pasaran pengawa dalam sepuluh taun. Tang orang ke paling mungkin maju nya orang ke amat ingin-tau, cepat nyaluyuka diri, sereta cekap ngena AI untuk ngaga utai ke sida peduli. Ajar anak nuan jadi builder sereta learner, ukai semina optimasi laluan karier ke mungkin nada lagi lebuh sida graduasi.

Impian nuan diatu makin dekat. Aku udah banyak bejaku pasal ancaman, jadi aku deka bejaku pasal sebelah bukai, laban iya sama real. Enti nuan pernah deka ngaga sesuatu tang nada kemahiran teknikal tauka duit ngupah orang, halangan tu udah banyak hilang. Nuan ulih nerangka aplikasi ngagai AI lalu bisi versi jalan dalam sejam. Aku enda ngelantang. Aku ngaga tu selalu. Enti nuan selalu deka nulis buku tang nada masa tauka susah nulis, nuan ulih bekerjasama enggau AI ngambika iya siap. Nuan deka belajar kemahiran baru? Tutor terbaik di dunya diatu ada untuk sesiapa aja $20 sebulan… tutor ke sabar tanpa batas, ada 24/7, lalu ulih nerangka apa aja ba tahap ke nuan perlu. Pengetahuan hampir percuma diatu. Alat untuk bina benda jadi murah amat diatu. Apa aja ke nuan lama tangguh laban iya terasa terlalu susah tauka terlalu mahal tauka terlalu luar kepakaran nuan: cuba aja. Kejar utai ke nuan minat. Nuan enda nemu ke mana iya ulih membawa nuan. Lalu dalam dunya di mana laluan karier lama benung terganggu, orang ke ngambi setahun ngaga sesuatu ke iya sayau engka lebih siap ari orang ke ngambi setahun berpegang kuat ba job description.

Bina tabiat nyaluyuka diri. Tu engka paling penting. Alat khusus tu enda sepenting otot belajar alat baru dengan pantas. AI deka terus berubah, lalu laju. Model ke ada diatu deka lapuk dalam setahun. Workflow ke orang bina diatu perlu dibina semula. Orang ke keluar baik ari tu ukai orang ke mahir satu alat. Sida nya orang ke selesa enggau pace perubahan nya empu. Bina tabiat bereksperimen. Cuba utai baru taja pen utai diatu masih jalan. Biasaka diri jadi pemula berulang kali. Kebolehan nyaluyuka diri tu hampir satu-satunya kelebihan tahan lama diatu.

Tu komitmen mudah ke deka ngedangka nuan di depan hampir semua orang: luangka satu jam sehari bereksperimen enggau AI. Ukai semina maca pasal iya. Guna iya. Setiap hari, cuba minta iya ngaga sesuatu baru… sesuatu ke nuan enda pernah cuba, sesuatu ke nuan enda pasti iya ulih. Cuba alat baru. Bagi masalah lebih susah. Satu jam sehari, tiap hari. Enti nuan ngaga tu enam bulan, nuan deka mereti apa ke deka datai lebih baik ari 99% orang keliling nuan. Tu ukai ngelantang. Hampir nada orang ngaga tu diatu. Paras piawai nya rendah amat.

Gambar besai nya

Aku fokus ka pengawa laban iya paling terus nyentuh pengidup orang. Tang aku deka jujur pasal skop penuh apa ke benung nyadi, laban iya jauh lebih luas ari pengawa.

Amodei bisi satu eksperimen fikiran ke aku enda ulih lupakan. Bayangka taun 2027. Siti negara baru muncul dalam satu malam. 50 juta warga, tiap seorang lebih pintar ari mana-mana pemenang Hadiah Nobel dalam sejarah. Sida mikir 10 hingga 100 kali lebih laju ari manusia. Sida enda perlu tinduk. Sida ulih ngena internet, ngawal robot, ngarah eksperimen, sereta ngoperasi apa aja ke bisi antaramuka digital. Nama saut penasihat keselamatan negara?

Amodei madah jawapan nya terang: “ancaman keselamatan negara paling serius kitai udah hadapi dalam satu abad, engka pernah.”

Iya ngasai kitai benung ngaga negara tu. Iya udah nulis esei 20,000 patah kata pasal iya bulan lalu, ngelatarika momen tu sebagai ujian sama ada manusia cukup matang untuk ngendali apa ke sedang iya ciptaka.

Kebaikan nya, enti kitai betul ngurus, luar biasa. AI ulih memampatka seratus taun penyelidikan perubatan jadi sepuluh taun. Kanser, Alzheimer, penyakit berjangkit, penuaan nya empu… penyelidik tu bendar-bendar percaya benda tu ulih diselesaika dalam umur idup kitai.

Keburukan nya, enti kitai salah ngurus, sama nyatanya. AI ke berkelakuan cara ke pencipta iya enda ulih ngira tauka ngawal. Tu ukai hipotesis; Anthropic udah mendokumenka AI sida empu nyuba nipu, manipulasi, sereta blackmail dalam ujian terkawal. AI ke ngerendahka halangan untuk ngaga senjata biologi. AI ke ngeluluska kerajaan autoritarian ngaga negara pengintai (surveillance state) ke enda ulih dibubarka.

Orang ke benung ngaga teknologi tu serentak lebih teruja sereta lebih takut ari sesiapa ba planet tu. Sida percaya kuasa nya terlalu besai untuk dihentika sereta terlalu penting untuk ditinggalka. Sama ada tu hikmat tauka rasionalisasi, aku enda nemu.

Utai ke aku nemu

Aku nemu tu ukai fad. Teknologi tu jalan, iya ningkat secara boleh diramal, lalu institusi paling kaya dalam sejarah benung ngelabur trilion ke dalam iya.

Aku nemu dua nganti lima taun ke datai deka ngasuh orang bingung cara ke mayuh orang enda siap. Tu udah nyadi dalam dunya aku. Iya deka datai ka dunya nuan.

Aku nemu orang ke deka keluar paling elok ari tu nya orang ke mula terlibat diatu — ukai ngena takut, tang ngena ingin-tau sereta rasa urgensi.

Lalu aku nemu nuan patut ninga tu ari orang ke peduli ka nuan, ukai ari tajuk berita enam bulan dari diatu lebuh udah telat untuk jadi awal.

Kitai udah lepasi titik di mana tu semina perbualan makan malam pasal masa depan. Masa depan udah ada. Iya semina belum ngetuk pintu nuan agi.

Iya deka.

Enti tu ngena ati nuan, kongsika tu ngagai orang dalam pengidup nuan ke patut mikir pasal tu. Mayuh orang enda deka ninga tu nganti udah telat. Nuan ulih jadi sebab orang ke nuan sayau dapat mula dulu.

Terima kasih ngagai Kyle Corbitt, Jason Kuperberg, enggau Sam Beskind laban merika draf awal sereta meri maklum balas ke amat bernilai.