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product eng • AI-pilling normies • prev: cofounder @builders_garden

Joined October 2017
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the @tempo MPP Hackathon produced +40 projects now they're all browsable in one gallery link: tempo-hackathon-projects.ver…
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ceo of vagueposting
Big day for humanity
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caso retweeted
this was such a good rant it deserved a whole music video
Replying to @opencode
@opencode @thdxr please eat a fucking huge bowl of shitty shit, I don't need to keep fucking figuring out your stupid config edits each time a wife cheats on a member of your stupid fucking team, do you fucking know how many machines I have that need config edits now?
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> @JensenHuang joins @SpaceX > Mass exodus of Nvidia employees transition to SpaceX > Nvidia market cap drops below $1T > SpaceX acquires Nvidia all stock transaction > Terafab is built > Fully vertically integrated chip design and fab. No need for TSMC > SpaceX merges with Tesla > The greatest conglomerate of all time is formed
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so Anthropic is just accepting claude's recommendations at scale let's hope one day the question isn't "should I cure cancer?" and claude's recommended option is: A) yes, eliminate humanity
Unfortunately, it seems like the intelligence explosion will be happening in 2027 after all. Most of this post analyzes the new METR report (though other sources of evidence are also important). If they’re right, that implies an AI-driven acceleration that is 5 months ahead of the AI 2027 scenario. I am scared, sad, and angry. blog.aifutures.org/p/q35-tim…
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launching Waggle 🐝 stop checking terminals. your agents bring every question and review to you in one inbox, with the mockups and docs to decide fast answer in a click, and the agent picks up where it stopped free, open source 👉 waggle.so
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choose your fighter: trade anthropic or play gta 6?
*ANTHROPIC PLANS TO START TRADING THURSDAY, FRIDAY NEXT WEEK:WSJ
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caso retweeted
i repeat, specialist models are a dead end
Replying to @claudeai
Fable 5.2 shows substantially improved skills in controlling physical robots, even on tasks it has never explicitly been trained to do. On RoboDojo, a benchmark with a simulated two-arm robot, it outperformed other models and most AI systems built to control robots.
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Watching Faker play League, part 2:
Watching Faker play League:
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pair t3 w/ hex and you’ll achieve the unachievable
wanted to give @t3dotcodes a try and it looks like there's no built-in dictation?
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guess % of space data centers will converge to 100 faster than forecasted- bullish
Guess my election-interfering space lasers didn’t work this time 🤷‍♂️
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bro just drop the fucking game we already knew the name 😭
“The scroll offered only a shimmer, a veil thinly lifted to my eyes. A future lost. A victory undone. Sands of time scattered by fate.” Yazar, Moth Priest to High Queen Iradne of Hammerfell (4E 206)
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one year ago what happens a year from now?
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.
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We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math. rikiyat.github.io/blog/weight-sp… github.com/RikiyaT/lm_und… huggingface.co/Qwen/Qwen3.5-0… huggingface.co/RikiyaT/Qwen3.…
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Under pressure from Israeli prime minister Benjamin Netanyahu, the Trump administration may be within days of launching a nuclear strike on Iran. The target would be Pickax Mountain in central Iran, where Israeli intelligence claims the Iranian government has restarted its nuclear enrichment program. No conventional weapon in the American arsenal can penetrate 300 feet of solid granite to destroy the tunnels where enrichment is supposedly taking place. The only military option is a nuclear strike. Netanyahu has been pushing hard for one. “Bibi calls Trump about it every day,” says an informed observer. Netanyahu is cornered and desperate. After last week’s election results, he can’t form a government unless Trump intervenes directly in Israeli politics and brokers a deal with other parties that gives Netanyahu 61 seats in the Knesset. Otherwise, he is out as prime minister and on his way to ignominy, investigations and possibly jail. Netanyahu must stay close to Trump. He needs this war. To that end, he’s applied maximum pressure to his closest allies in the administration, including Secretary of Defense Pete Hegseth and CENTCOM commander Brad Cooper. Both oppose a negotiated settlement to the war they’ve so grievously mismanaged; both are pushing to restart major combat operations. Secretary of State Marco Rubio and CIA director John Ratcliffe are also following Netanyahu’s lead, as are leaders of the Democratic Party. In a recent meeting on the subject, former president Barack Obama said he opposes the current Iran peace deal being drafted in Doha. The rest of America’s longtime allies in the Middle East are terrified by the prospect of more war. On September 27th, Netanyahu flew secretly to Abu Dhabi to enlist the UAE in his lobbying effort for a final attack on Iran. The Emiratis refused. After eight months of conflict, Gulf economies are teetering. So are global energy and fertilizer markets. They won’t recover soon. Globally, there are a total of about 850 supertankers used to transport oil from producers to the rest of the world. In October alone, 11 of them were badly damaged in Hormuz. At this pace, a global depression is imminent. A nuclear strike would radically accelerate the destruction. Fallout from a ground explosion at Pickax Mountain would contaminate the Persian Gulf, poisoning the water supply for 100 million people. And those are just some of the immediate consequences for the region. The rest of the world is every bit as exposed. No country other than the United States has ever used a nuclear weapon in war. Some would like to. An American nuclear attack on Iran would set a new precedent. The Russians have already told at least two other governments that an American nuclear strike on Iran would free them to use nuclear weapons against Ukraine. Pakistan and India would be tempted to do the same against each other, as would North Korea against Seoul. After the first nuclear strike, World War Three is inevitable. That war would be short and final. We’ve been sleepwalking toward this moment for months. Since February, the administration has quietly rewritten America’s nuclear doctrine to make first use of so-called “battlefield nukes” easier and therefore more likely. No one in Washington in either party seems bothered by this. Now we’re on the brink of it. Close observers say Trump is likely to decide by next weekend whether or not to use nuclear weapons. That would be November 7, six days from now. To his credit, he’s hesitating. At the moment, Trump is listening to his vice president, JD Vance, and to his envoy and friend Steve Witkoff, both of whom argue a deal with Iran can be made. They’re right, though it won’t be simple. The Iranians are famously frustrating to negotiate with under any circumstances, and elements of that government have become more radical since Ayatollah Ali Khamenei and his family were killed in February. After decades of isolation, even relatively moderate Iranian leaders seem confused by how decisions are made in the West. (There is a widespread belief in Tehran, for example, that the United States government controls Israel.) But overall, people who have spoken to decision-makers in Iran say there is consensus there that more war is bad for everyone and a deal is worth making. One group that hasn’t been consulted so far is the global population — the hundreds of millions of people who will be killed along with their children if Trump is pushed by Netanyahu into launching a nuclear strike next week. Now would be the time for them to speak up.
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At this point the reaction is: Bad software: I'll just build my own. Good software: I'd rather use this and let it get even better than build my own.
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human-made is the new home-made
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background compaction is the only way
Compaction is a mistake. When an agent's context fills up, tools like Codex and Claude Code compact it: 1. The model prefills the entire session again 2. It writes a summary of everything so far 3. A new session starts from that summary I measured this on a real ~400k-token session with Opus 5.5: → 38 s and $1.99 when the prompt cache has expired → 29 s and $0.17 when it hasn't And the summary is lossy. The exact error message, the file path, the one number you needed is often gone. So I do something new for Mainplane Context retrieval works the other way around. Mainplane keeps the full record of every session as a file. When the context fills up, a new session starts right away with one instruction: "You are continuing session X. Retrieve key context from it as you go." The agent searches the old session and copies the exact lines it needs, when it needs them. Same session, same model: 15 s and $0.10 to get back to work. It does not depend on a cache hit, and nothing is paraphrased. This is the bitter lesson applied to agent memory. Don't hand-design what the model should remember. Give it the full record and good tools, and let it decide. Mainplane is open source (MIT). Link in the first comment.
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people bookmarking be like: must come back in 50 years and check if his son Emil is actually a goated designer
emil widlund here, emil kowalski there… I’ll call my son emil so I’ll be 200% sure he’ll be a goated designer
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emil widlund here, emil kowalski there… I’ll call my son emil so I’ll be 200% sure he’ll be a goated designer
I promised to give you all a rundown on how I make these videos. There's no After Effects project behind it. Every frame is code: TypeScript, a browser and a timeline. Here's how it's made 🧵
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