Bonerjam retweeted
I’m convinced that 90% of the people who are aggressively anti-AI have never actually used Claude Opus 5.5.
And I guarantee that if you sat them down, gave them access to it, and let them use it properly for a few hours, the overwhelming majority would completely change their minds.
Because there’s a massive difference between reading about what AI can do and actually experiencing it.
The moment you realize you can turn almost any idea into reality, solve problems you never thought you could solve, and accomplish things that previously required entire teams of experts, your entire perspective changes.
You stop seeing AI as a threat and start seeing it as the greatest opportunity humanity has ever had.
I genuinely believe most anti-AI sentiment comes from people who have absolutely no idea what they’re opposing.
Bonerjam retweeted
After DOGE, Elon came to a conclusion most people missed.
He tried to reform the state from the inside. He failed. And he said it plainly: the government can't fix its own deficit. Nobody in power actually wants to cut. The machine protects itself.
So he drew the only logical conclusion. If the state can't be reformed, there are only two ways this ends.
Either global bankruptcy. Debt keeps compounding, interest payments eat the budget, and the system collapses under its own weight.
Or robots. AI and robotics grow the economy so fast that the debt becomes manageable, and abundance makes the old fights over scarcity irrelevant.
Here's the part almost nobody sees.
For two centuries, capitalism has had a marketing problem. Its gains are real but slow and invisible. 2% growth a year doesn't feel like anything. Your life gets better over 30 years and you never connect it to the system that did it. Meanwhile, the left's promises feel immediate and concrete: a check, a subsidy, a benefit. That's why the left wins on promises even when it can't deliver them. Capitalism produces the wealth, socialism takes the credit.
Robots break that asymmetry.
When productivity doubles in a few years instead of a few decades, people will see it. Things get cheaper, services get better, opportunities appear, in real time. For the first time in history, people will connect capitalism and their rising standard of living directly, almost instantly. The causal chain becomes visible.
And that changes everything politically.
So there are two scenarios.
Scenario one: we stay in the current inertia. No breakthrough, or a breakthrough we regulate to death. The debt wins. Living standards stagnate, then fall. A frustrated electorate turns to whoever promises the most, and that pushes toward a hard collectivist left. But collectivism fails, as it always does. And when it fails, the most organized, most disciplined collectivist force left standing isn't the old left. It's radical Islamism. Bankruptcy, then communism, then something worse.
Scenario two: robots win. Abundance arrives, and it arrives visibly. The link between free enterprise and prosperity becomes obvious to everyone. And this is the key point: it becomes obvious to everyone, including the minorities the left was counting on. Because their long-term incentive is the same as everyone else's. A kid in the suburbs gains infinitely more from a booming, abundant West than from a bankrupt state handing out promises it can't keep. Abundance is the most powerful integration machine ever built.
That's the Western renaissance.
The West doesn't need to win the culture war by arguing. It needs to win it by delivering. And for the first time, it has the technology to deliver fast enough for people to notice.
The race isn't left vs right anymore. It's robots vs bankruptcy.
Bonerjam retweeted
There's a new kind of coding I call "vibe coding", where you fully give in to the vibes, embrace exponentials, and forget that the code even exists. It's possible because the LLMs (e.g. Cursor Composer w Sonnet) are getting too good. Also I just talk to Composer with SuperWhisper so I barely even touch the keyboard. I ask for the dumbest things like "decrease the padding on the sidebar by half" because I'm too lazy to find it. I "Accept All" always, I don't read the diffs anymore. When I get error messages I just copy paste them in with no comment, usually that fixes it. The code grows beyond my usual comprehension, I'd have to really read through it for a while. Sometimes the LLMs can't fix a bug so I just work around it or ask for random changes until it goes away. It's not too bad for throwaway weekend projects, but still quite amusing. I'm building a project or webapp, but it's not really coding - I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works.
Bonerjam retweeted
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
Bonerjam retweeted
some of what we've been designing in Claude Duet... a few big ideas, and some tiny details
can't wait to see what you make with it
join the waitlist: claude.com/product/claude-du…
Bonerjam retweeted
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
Bonerjam retweeted
After months of writing, 'How to Unclench' is finally live!
It's an interactive essay packed with stories, science & guided practices to help you unclench.
→ howtounclench.com
Bonerjam retweeted
Normies can’t understand the thrill of pinning the weasel. Nights spent chasing an over amphetamined Caroline around the bean bag forts. Her squealing and gibbering, pouring sweat and on the verge of seizing. Your friends build up an intoxicating, delerious state with Talmudic chantings at the sidelines, hitting the Caroline-toy with brooms if she tries to escape. Sam would be giggling and laughing as the waves of methamphetamine pleasure seem to harmonize with the droning herbrew verses. He runs through the bean bag maze, fat and portly, with his viagra-powered penis a driving rod for the weasel. Sweat gushing down his face around his unfocused eyes, he laughs and chortles until he gasps “Found you!” The Mathweasel screeches defensively but Wankman Bankman is upon her in seconds. His penis thrusting blindly into her flank, leg, stomach and ribs unconcerned about anything but the motion. Eventually serendipity finds her mouth and the Cocktube Rodent is placated, suckling contently on Bankman’s dehydrated dick.
Bonerjam retweeted
The prevailing view of so much of the young left in America is that we’re the worst country ever, so if someone attacks us, they can’t be all bad.
Bonerjam retweeted
The interview with @lexfridman has already passed a million views in just 5 days! I think people were ready for some white-pill optimism about agents and AI. youtu.be/NYFGCESmikA?si=IGaG…
