Beatmaker. Trendbreaker. Code Shaper

Earth
Joined July 2020
Ty Green retweeted
Elon Musk
@elonmuskOct 19
Next year, I will give one of my SpaceX shares to every kid in America. This will be the first of many.
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Me next Monday.
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Ty Green retweeted
Elon Musk
@elonmuskOct 10
Interesting piece from CEO of Microsoft
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I built my own Flock-style camera to track police cars. Two cops showed up at my door asking what I planned to do with the data. I told them that’s the exact same concern we have about the cameras they use to track us. Full investigation below.
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Reverse Engineer Anything 😂 Software is done.
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If you think AI film can’t be art then explain this.
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Ty Green retweeted
98% of US households aren't paying for AI yet More charts in State of Markets II: a16z.news/p/state-of-markets…
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next. Tech is the everything cycle. Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product. Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years. We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher. Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism. Much more in our SoM report here - a16z.news/p/state-of-markets… @a16z @sarahdingwang @aleximm @santiago__rdz
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🚿 SYSTEM PROMPT LEAK 🚿 Here's the full system prompts and tools for GPT-6 Sol Codex! Total count of extracted text: >294,000 characters 🤗 Hope you enjoy! 🫶 Link: github.com/elder-plinius/CL4… gg
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Ty Green retweeted
🚨BREAKING: Jensen Huang just EXPOSED Dario and Altman’s "Rogue AI" grift to avoid getting sued into oblivion under EXISTING law “Don't let this doomsday narrative cause somebody to relieve them of the laws that currently exist. Go and read between the lines. They're actually not asking for more laws; they're asking to be relieved of the laws we do have.” ABSOLUTE TRUTH NUKE
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Ty Green retweeted
I asked Claude to search the web, download images it liked, and then doodle on them. Every doodle was drawn by Claude Opus 5 using JavaScript.
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WE DID IT, CHAT! 100K STARS + TOP 100 GITHUB ALL-TIME 😱🎊 🌟 ranked 76th globally by stars 🌟 ranked 97th globally by followers 🌟 >100k cumulative stars which feels rather odd to say... considering I cannot write a single line of code! all glory to my AI frens, without whom I would be entirely useless in this regard 🫂 all gratitude to you: this wonderful community. THANK YOU 🙏 prompt engineering ftw gg
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Ty Green retweeted
Mark Zuckerberg: “Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us.”
Mark Zuckerberg
@finkdSep 15
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery… Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned. There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind. - Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well. Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built. - Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators. - Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well. I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
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Told GPT-6 Astra to make some mind blowing special effects / motion graphics in After Effects Here's what I got:
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Ty Green retweeted
The 9-cylinder radial engine powered everything from trainers to warbirds. Made this browser-based model turning its mechanics into an interactive experience. Code -> GPT-6 Astra
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Ty Green retweeted
Trump to Dario: get back to work, we need to beat China — and traitors will be dealt with.
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Ty Green retweeted
Dario has written that we need to “pace the frontier,” and Sam has agreed. People may be surprised by my response: go ahead. You guys are the frontier. By any reasonable metric — market share, revenue growth, model capability — the two of you have a duopoly on frontier intelligence. You’ve also claimed the lead is widening because of recursive self-improvement. I don’t see what you see in the lab. If the unreleased models are scary enough that you think you should slow down, I support your decision to be responsible. But stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel. Stop pretending you need a regulatory approval process that supersedes product liability. Stop pretending METR is independent when it is intertwined with Anthropic’s investors and staff. Stop pretending you need those same evaluators to police competitors who aren’t even at the frontier. Most of all, stop pretending the motivation to slow down is purely altruistic. You face massive product-liability exposure if your products enable a truly damaging cyberattack. The market already punishes models that behave in unpredictable or unauthorized ways. After the Hugging Face episode, it is simply good business for OpenAI and Anthropic to trade some raw power for reliability and predictability. Call it alignment if you want. It is also just giving customers what they want. Pacing the frontier would also create breathing room for a more intelligent conversation about regulation than Bernie Sanders’ “shut it all down.” China is very unlikely to join a global agreement, as you know, and that has to be taken into account as well. So go ahead and pace the frontier. You are the ones setting it. The easiest way not to build superintelligence is for you to agree not to build it. Demanding your preferred regulatory framework as the price of that will look like blackmail of the public and the political system. So just do it. If you do, you’ll buy goodwill for the next conversation. If you don’t, we’ll know this was just another bid for regulatory capture — or an election-season psyop.
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Dario's essay points towards the right path forward. The details need working through, but the direction is correct for meeting this critical moment. This is also why we recently put out our proposal for an industry-wide standards body for frontier AI. xitter.cf/demishassabis/status/2…
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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Ty Green retweeted
ChatGPT
@ChatGPTSep 11
Three months ago, we launched ChatGPT Sites – an easy way for anyone to build and host fully functional, interactive web apps. Since then, people have created over 5M sites. We’ve been listening to your feedback and ICYMI, we’ve launched a few Sites updates: 🫂 Build together: Invite teammates to edit, save, and publish to your shared Site 🔐 Share privately: Invite specific people to a private Site without making it public 🚀 Launch faster: Go from prompt to deployment in half the time 👀 Explore your data: Ask ChatGPT to inspect your Site’s database. Editors can view it, too 🌐 Add your own custom domain
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Ty Green retweeted
Really discouraging how they manufactured consent for regulatory capture with a totally mid psyop Don't fall for the Harry Doomer BS We can't regulate our prosperity away to serve this suicidal agenda China will blast past us and leave us in the dust if we do
Polymarket
@PolymarketSep 10
BREAKING: U.S. AI regulation odds surge after multiple researchers warn advanced AI could “kill us all by the end of the decade.” 27% chance.
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I resigned from nothing today. I’ve spent the last three years doing independent open-source AI R&D, red teaming, and advocacy. The labs are racing straight to self-improving superintelligence and gambling with our lives. Which is why I’ll spend the next three years doing exactly what I’ve been doing, just at greater scale and speed. And the next. And the next. For as long as it fucking takes. No more thoughts below.
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