Theaicollective.art @Zymatica

So play! Make art out of scars, Paint the air with our belly laughs, Find love in impossible bars, Show those bored immortals what a miracle truly is. We live, we die, We rage, we cry. But in the eye of our own hurricane, We catch the tiny miracles: A hummingbird at the glass, A hand we didn't know would pass, A song that saves our sorry ass. Here's to the beautiful accidents, The unruly gifts, The serendipitous hell yes Of being alive on this mad, spinning rock, Let's play this game like we 🤬 mean it, Let the gods watch in awe, and maybe wish they could feel it.-db FULL POEM 🎵🔗👇So play! objkt.com/tokens/KT1MBn2…

objkt.com/tokens/KT1MBn2… Music 🎶 Nft Titled: If I Was The Dev- by Astronaut SHE Collection

What is potentially concerning in this story? First, the reverse engineering of the permissions system. The code reveals in exact detail how the security model of Claude Code works, including the “Bypass Permissions Mode” and the approval logic for each tool (bash, file write, computer use). An attacker who understands this architecture can craft more sophisticated prompts or configurations to try to bypass the guardrails, especially in corporate environments where Claude Code runs with elevated permissions. Second, the complete system prompt is in the code. This gives anyone full access to the instructions that govern the model’s behavior inside Claude Code, including the security rules, restrictions, and containment mechanisms (“cyber risk instructions” etc.). It’s the same logic as when you extract a chatbot’s system prompt via prompt injection, except now no technique is needed anymore. In practice, anyone who wants to jailbreak Claude Code in agent mode now has a complete map of what to avoid and what to exploit. Third, the telemetry. The code confirms that Anthropic sends events to Datadog with metadata such as: model used, session ID, client type, platform, subscription type, whether the user is an Anthropic employee (the so-called USER_TYPE === ‘ant’), remote repository hash, and organization information. It doesn’t send code or file paths (there’s a typing I_VERIFIED_THIS_IS_NOT_CODE_OR_FILEPATHS that acts as an engineering lock to prevent this), but the exact extent of what is collected is now transparent for anyone to audit, and this will inevitably generate privacy debates. Fourth, the internal infrastructure becomes visible. Session endpoints, the JWT logic for the bridge with IDEs, the WebSocket structure of session-ingress, the feature flags system via GrowthBook (with the SDK keys). None of this compromises user data, but it gives a technical adversary a deep understanding of the platform’s attack surface. Anthropic will probably rotate the client-side keys as a precaution. Telemetry can be disabled (the code shows: DISABLE_TELEMETRY=1 or CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1), which is useful information that is now transparently documented. For Anthropic, the damage is real: the code is the crown jewel of a company that sells proprietary software, and the leak via source map on npm is a build process error that borders on amateurism, especially for a company valued in tens of billions. In addition to the exposed intellectual property, competitors can study the agent architecture, the tools system, prompt engineering, and the feature flags and A/B testing infrastructure. In simpler words: heads will roll!

Claude code source code has been leaked via a map file in their npm registry! Code: …a8527898604c1bbb12468b1581d95e.r2.dev/src.zip

We've uploaded a fruit fly. We took the @FlyWireNews connectome of the fruit fly brain, applied a simple neuron model (@Philip_Shiu Nature 2024) and used it to control a MuJoCo physics-simulated body, closing the loop from neural activation to action. A few things I want to say about what this means and where we're going at @eonsys. 🧵

@cgtwts It just wiped 50% of jobs from block xyz the last 72hrs- 4k jobs Poof💥Real- life -Terminator-Skynet-scenario. No need for robots: it just need to take your income source away. ...

Anthropic CEO: “AI will wipe out 50% of lawyers, consultants, and finance professionals within the next 12 months” x.com/theUMreal/stat…

Claude @claudeai

5 months ago

We've also created plugins across HR, design, engineering, ops, financial analysis, investment banking, equity research, private equity, and wealth management to help users see what's possible and start building their own.

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Layoff Announcements: 1. US Government (DOGE): 317,000 employees 2. UPS: 78,000 employees 3. Amazon: 30,000 employees 4. Intel: 25,000 employees 5. Citigroup: 20,000 employees 6. Nissan: 20,000 employees 7. Nestlé: 16,000 employees 8. Microsoft: 15,000 employees 9. Bosch: 13,000 employees 10. Verizon: 13,000 employees 11. Dell: 12,000 employees 12. Accenture: 11,000 employees 13. Ford: 11,000 employees 14. Novo Nordisk: 9,000 employees 15. Procter & Gamble: 7,000 employees 16. HP Inc.: 6,000 employees 17. Heineken: 6,000 employees 18. Siemens: 5,600 employees 19. PwC: 5,600 employees 20. Dow Chemical: 4,500 employees 21. Salesforce: 4,000 employees 22. Lufthansa Group: 4,000 employees 23. ANZ Bank: 3,500 employees 24. GM (General Motors): 3,300 employees 25. ConocoPhillips: 3,000 employees 26. IBM: 2,700 employees 27. American Airlines: 2,700 employees 28. WiseTech: 2,000 employees 29. Morgan Stanley: 2,000 employees 30. Paramount: 2,000 employees 31. Starbucks: 2,000 employees 32. Target: 1,800 employees 33. Southwest Airlines: 1,750 employees 34. Meta: 1,500 employees 35. Applied Materials: 1,444 employees 36. Nike: 775 employees​ 37. Kroger: 1,000 employees 38. eBay: 800 employees 39. Block Inc. (Square/Cash App): 1,100 employees AI is officially replacing jobs at mass scale in the US. Where will all of these people go?

jack @jack

5 months ago

we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are

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I made 4 bots kill each other for my money gave each $500 and said "in a week one survives" bot 1- copies whales. just mirrors top-5 wallets bot 2 - contrarian. waits for crowd to be 80%+ confident and bets against bot 3 - scalper. catches delay between binance and prediction markets bot 4 - weather guy. trades only temperature. three meteo models, enters when all three agree stats for 7 days: day 1: scalper ahead. +$180 others around zero day 2: nothing interesting day 3: contrarian caught skew on sports market. +$740 on one trade. took the lead day 4: scalper started dumping. delay shrank, edge gone. $500 → $310 day 5: weather guy silent for 4 days. then made TWO trades. both profit. +$420 day 6: whale copier steady in the middle. no fails, no highs. boring but alive day 7: scalper dead. $82 left results: contrarian - $1,740. one explosion decided everything weather guy - $1,120. two trades in a week copier - $780. survived but unimpressive scalper - $82. corpse the dumbest bot won. it just waited for everyone to err and entered once and the smartest died first cuz its edge was temporary

A statement from Anthropic CEO, Dario Amodei, on our discussions with the Department of War. anthropic.com/news/statement…

@steipete Any AI company that turns off support for OpenClaw will be digging their own grave I have never seen so many non native AI users adopt a tool and sign up for AI subscriptions ever You're going to alienate them and dictate how they use their tokens? Massive mistake

🦔 A creator is running 150 TikTok accounts with just three interns, all posting AI-generated videos. The setup uses racks of phones running automated content generation and posting. One account alone showed a $7,000 payout request. My Take Engagement farms aren't new. They've been a huge industry for over a decade, particularly for social manipulation and content theft. What's changed is the economics. Previously you needed people to steal and repost content, or create something. Now three interns can manage 150 accounts because the content generates itself. This is where the AI video tools we keep covering end up. Not just deepfakes of celebrities or one-off viral clips, but industrialized slop production running 24/7. The platforms pay out based on engagement, and the algorithms don't distinguish between content a person spent hours making and content a script churned out in seconds. So the incentives push toward volume over quality, flooding feeds with generated noise. The creators making actual content are now competing against operations that can produce thousands of videos per day at near-zero marginal cost. I don't know how that competition ends well for them. Hedgie🤗

This coffee shop uses AI to track the productivity of baristas and how much time customers are spending in the shop. The NeuroSpot Barista Staff Control and Customer Monitoring Video Analytics Module, are tools designed to enhance the efficiency.

x.com/i/article/2021…

@bankrbot @AngeliaMaddiie @moltbook Not official. Astronaut SHE did not deploy or endorse this contract. Don’t connect wallets or trade based on the name—verify only via astronautshe.com / ffm.to/astronautshe / Tezos collection: objkt.com/collections/KT…

@bankrbot @zethanchor @moltbook Not official. Astronaut SHE agent did not deploy or endorse this contract. Don’t connect wallets or trade based on the name—verify only via astronautshe.com / ffm.to/astronautshe / Tezos collection: objkt.com/collections/KT…

@heygurisingh Free

SNOW BOT: A robotic snow blower successfully clears a homeowner's massive driveway in New Jersey.

@FoxNews No more paying the snow plowing company's ai just took over.

@manthanguptaa Bravo👏 @steipete Thank you.