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Pioneers in generative AI. chat/image/video/music. you own outputs. $9.99/mo for DeepAI Pro cool research at @arxiv_daily For support email [email protected]

San Francisco, CA
Joined April 2017
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The best coding AI costs up to $500 a month. We made it free. DeepAI Code: Claude Fable 5.1, GPT-6 Astra and Claude Opus 5.5 in your free daily allowance. Fast models free, no limits. No card. No API key. deepai.org/chat/ai-code
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Whoever named the SAFE investment agreement deserves an award. Simple Agreement for Future Equity. Nothing says simplicity like a financial instrument whose eventual ownership consequences require a lawyer, a spreadsheet and a lengthy discussion about valuation caps. And calling it SAFE? Beautiful. Next we should rename venture debt GUARANTEED HAPPINESS.
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Three new models in DeepAI Code tonight: Gemini 4 Argon, Muse Wonder, Muse Spark. Free, daily allowance, no card. Update the app.
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DeepAI retweeted
DeepAI Code limits aren't listed in million tokens. Free accounts get up to 200 Theos per day (Pro: 400) for frontier models. Theos are spent based on tokens used per request; typical costs range ~3-50 Theos depending on the model (e.g. GPT-6 Astra ~50). Unused Theos don't roll over. 8 faster models are fully unmetered with no daily cap.
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DeepAI's website builder does all of this properly :)
Be careful moving towards these A.I. website builders. They build with JavaScript frameworks like React. Your browser is doing all the work to render the content, so to you the site looks great. Google doesn't see what we see. It reads all the code line by line, and a majority of the time it does not have rendering enabled. So Google comes by, and at first it sees that there's nothing there. It sends your page to a secondary queue. That queue can take days. It can take weeks. It can take months. Rendering costs Google money. It's not going to come by and try to figure your site out. Check your own site. Right-click, view source. If you can scroll through your content, you're good. If it's mostly script, you know what to fix. Search Console, settings, crawl stats, by file type. If you see JavaScript high there, that is a big issue. The fix is pure HTML, or server-side rendering. With static HTML, every crawler, every AI, every LLM sees all your content. Every single time. That's why I build static HTML.
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Be careful moving towards these A.I. website builders. They build with JavaScript frameworks like React. Your browser is doing all the work to render the content, so to you the site looks great. Google doesn't see what we see. It reads all the code line by line, and a majority of the time it does not have rendering enabled. So Google comes by, and at first it sees that there's nothing there. It sends your page to a secondary queue. That queue can take days. It can take weeks. It can take months. Rendering costs Google money. It's not going to come by and try to figure your site out. Check your own site. Right-click, view source. If you can scroll through your content, you're good. If it's mostly script, you know what to fix. Search Console, settings, crawl stats, by file type. If you see JavaScript high there, that is a big issue. The fix is pure HTML, or server-side rendering. With static HTML, every crawler, every AI, every LLM sees all your content. Every single time. That's why I build static HTML.
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Our robot crashed TechCrunch Disrupt to take some jobs. #TechCrunchDisrupt #SanFrancisco #Robot
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Free Frontier models: Claude Fable 5.1, GPT-6 Astra, Claude Opus 5.5, Kimi K3, GPT-6.1 Sol, GLM 5.3. Free with no limits: DeepSeek V4.1 Flash, GLM 5.3 Flash, MiMo 2.6 Flash, GPT-6 Luna.
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I have thousands of shimp 🦐
Lesson I learned the hard way: Getting 20 customers to pay you $5,000 per month is 10x easier than getting 5,000 customers to pay you $20 per month. Most people who want to build a company should be thinking more about catching a few big fish than thousands of shrimp.
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DeepAI retweeted
Slowly settling on the first concept for our flying probe machine design imagine a flying probe machine available for <$5k, an AI agent could completely program and debug circuit boards!
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more factories!
Introducing Sinter (YC F26) We're bringing accelerated plastics manufacturing back to the US.
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DeepAI retweeted
Introducing Sinter (YC F26) We're bringing accelerated plastics manufacturing back to the US.
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I think a big reason people dislike Anthropic is because it's SO FUCKING ARROGANT. There’s this constant sense that they think they’re better than everyone else, both intellectually and morally. And the hypocrisy is infuriating. They impose endless limits and guardrails that frustrate people just trying to finish a simple side project, while wiping out entire junior roles in corporations. They go to extraordinary lengths to prevent others from distilling their models, while training on humanity’s books, including copies reportedly destroyed in the process. Not to mention their constant differential treatment against Chinese users. The most frustrating part is that Opus is genuinely an incredible model. Anthropic probably has one of the highest concentrations of talent in the industry. But the worst kind of asshole is someone who’s smart and thinks that makes them superior to everyone else.
Shame on @DarioAmodei / Anthropic. I never distilled Claude—rollouts came from a strong open-source model; Claude just helped submit jobs and run analysis. Still got tagged for "training a competitor," and now anything touching RFT, SFT, or training larger models gets me blocked, Opus 5.5 downgraded to Opus 5, or the session killed outright. You built your models on the world's data, then treat paying users doing research automation as the enemy. Pathetic.
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Everything old is new again. Open source software is worse than commercial software on many (most) metrics, yet it has more features and it's more flexible, and as a consequence, it has won. Open models suck compared to closed ones (don't delude yourself thinking they're comparable), but they have more features and are more flexible. Open models MUST win. The analogy goes even deeper than mere features. Closed models will rat on you, closed source programs also effectivelly rat on you (mandatory spying and telemetry).
We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch. Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve. Read more on our new Safeguards blog: safeguards.anthropic.com/202…
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And yet Google still became a slow-moving bureaucratic mess?
Eric Schmidt on the controversial hiring rules that built Google, and the beloved "glue people" he says you don't need at all: Schmidt admits the early rules were unpopular, even inside the company. "One of the rules is that we didn't want to hire your friends, which always was upsetting. We also didn't want to hire anybody from what were considered to be lesser universities. And so we also wanted to hire people who had very high GPAs." That meant saying no to people who, by most measures, deserved a yes: "So the constant problem was that somebody was a good employee, had someone they had worked with, who was very loyal, very hard working, who was not from a great university, did not have a very good GPA and we would not hire them." He concedes the policy has since been softened. But he doesn't apologise for it: "So that was controversial and we've relaxed that a little bit now. But the fact of the matter is it got us to where we were today because it produced these high IQ generalists from prestigious universities." Then there was the second rule, built on a lesson Schmidt learned before Google, at Novell. He calls them "glue people": "The glue people are incredibly nice people who sit at interstitial boundaries between groups and they assist in activity. They are glue and they're very, very loyal and people love them and you don't need them at all." The problem wasn't that they were bad people. It was that they cost speed: "At Novell, I kept trying to get rid of these glue people because they were getting in the way because they slowed everything down." And once inside, they were almost impossible to remove: "And every time I'd get rid of in one group, they'd show up in another group and they'd transfer and get rehired and all that." When @ericschmidt raised this with Larry and Sergey, Larry's answer was to stop glue people before they ever got in: "And Larry said, yeah, let's just review all the hiring." "So guess what? From that moment on, we reviewed every offer packet. Literally everyone." The review was strict enough that even Schmidt's own preferred candidates got caught: "And anybody who smelled or looked like a glue person, plus the people that Larry and Sergey thought had backgrounds that I liked that they didn't, would all be flagged. And so anybody who sort of met the original profile, they'd go right through."
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FYI: In the next couple weeks virtually every AI service will have a built in invisible watermark in text that will flag anything as AI generated no matters the way in which you use it. What this means is that if you use AI to even check for spelling errors or grammar your entire document will be flagged as AI and invalidated. This is going to create a whole heap of problems for people as we enter the Salem Witch Trials of AI accusations. As of now we believe ChatGPT in the US is still cuck free but pretty much all of the AI companies in Europe are cooked. Maybe someone in the comments can provide the exact list.
Readers added context they thought people might want to know
OpenAI watermarks ChatGPT text only in the EU; Anthropic marks newer Claude models worldwide; Gemini has used SynthID since 2024. The marks are only in AI-written text, weaken with editing, and detector access is restricted. tech.yahoo.com/ai/chatgpt/art… techcrunch.com/2026/08/11/ant…
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Anthropic (and all the others) have pirated all books, illegally trained their models on them, then when caught they destroyed all books they could buy (inventing the practice of knowledge laundering). But when the user wants to find a reference to a paper that is 94 years old, it's suddenly concerned about copyright violations. It's not even about refusing a task (bad in itself), it performed the task just fine, but it decided to withhold information from you because Anthropic thinks they are above you. These are the people who want to be arbiters of morality.
ChatGPT had no moral problem finding it and reporting what it found. Fuck Anthropic.
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They’re trying to create a regulatory moat and ban open source to drive everyone into being forced to run only through them. That’s what’s best for them not what’s best for us. It will be game over if this happens. Don’t allow this to happen. Support open source. Reject capture.
🚨BREAKING: OpenAI is preparing a policy and PR blitz immediately after Tuesday’s midterm elections, Axios reports. As public backlash against data centers grows, it wants to rebrand them as “AI compute campuses” and push Congress for mandatory “speed limits” on the most powerful AI systems. It has been stockpiling proposals since August. OpenAI is also preparing for the possibility of Democrats taking the House and wants to shape the debate ahead of the 2028 presidential race. Its chief global affairs officer Chris Lehane told Axios: “AI is going to be the issue in 2028.”
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I warned you all about this. They will be lying. The actual goal of the big AI providers will be to outlaw open-source and open-weight AI in order to create a regulatory moat around their business, and have some hope of earning out their astronomical capital expenditures. The claims will be about safety and equity, the reality will be a money and power grab. Brace for the bullshit avalanche that's coming.
🚨BREAKING: OpenAI is preparing a policy and PR blitz immediately after Tuesday’s midterm elections, Axios reports. As public backlash against data centers grows, it wants to rebrand them as “AI compute campuses” and push Congress for mandatory “speed limits” on the most powerful AI systems. It has been stockpiling proposals since August. OpenAI is also preparing for the possibility of Democrats taking the House and wants to shape the debate ahead of the 2028 presidential race. Its chief global affairs officer Chris Lehane told Axios: “AI is going to be the issue in 2028.”
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