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Cursor has spent its entire existence competing with every major AI lab and incumbent in the toughest market in tech—and has continued to win. So much so that @elonmusk bought them for $60 billion to help SpaceX win the AI race. They've done this by building one of the most talent-dense teams in history. Adam Ward (@wardadamp) is Head of Talent at @Cursor_AI—who acquired his legendary recruiting firm after he spent 20+ years building the most elite teams in tech—and in our conversation he shares the entire playbook for building high talent-density teams. We discuss: 🔸 Why the traditional recruiting funnel—the "funnel of doom"—guarantees mediocre hiring 🔸 Adam's three-step playbook for hiring the top 1% 🔸 The rise of the forward-deployed engineer 🔸 Today's "tale of two cities" talent market 🔸 The biggest mistake founders make with their first recruiting hire 🔸 The worst question you can ask when sourcing talent (you've definitely asked it) Watch the full episode right here 👇
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The hardest part about hiring great leaders for X is that you need someone who can be an outstanding voice on the platform -- but also someone who is exceptional at trench warfare (i.e., sweating the details of the user experience and handling the daily chaos & creativity of bad actors).
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@thsottiaux We are hiring if you would like to work at Anthropic! We don’t ban people for using harnesses with other models. Almost certainly it was a different account classifier that triggered. Looking into it, thanks for escalating.
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🚨 BREAKING: Apple filed for a PRELIMINARY INJUNCTION against OpenAI AND asked a federal judge to put them under forensic supervision "Apple respectfully moves the Court for a preliminary injunction to stop THE THEFT OF ITS TRADE SECRETS" Apple filed NINE sworn declarations, a 28-page memorandum and a concurrent motion for expedited discovery What Apple now says, under oath: Chang Liu: 8 years at Apple, now OpenAI "Member of Technical Staff" exploited an authentication bug to steal Apple trade secrets "on AT LEAST FIVE SEPARATE OCCASIONS" from February to April 2026, WHILE working for OpenAI Liu downloaded "THOUSANDS OF PAGES of Apple's most sensitive trade secrets" The stolen files, NAMED: >DisplayNotes.key — "several hundred pages" on Apple's custom display power development program >Architecture analyses. Fabrication decisions. Testing results >Engineering data for an UNANNOUNCED Apple product: 'touch, display, and power systems" >Final.key + V2.key — compilations of two undisclosed Apple R&D projects >and those are "only four of the dozens of proprietary documents Mr. Liu stole" Liu fed OpenAI "a steady stream of Apple proprietary information that he actively concealed" Liu also "coached Yu-Ting "Alyssa" Peng, then still INSIDE Apple, how to access and copy files from Apple workstations "to avoid trouble with the security team" and directed her to communicate with him on the encrypted LINE app "to avoid detection" Tang Yew Tan: 24-year Apple VP, now OpenAI's Chief Hardware Officer, "used an Apple internal project codename for an unannounced product to elicit still more trade secrets from job candidates." Tan's own messages, quoted in the motion: >"Just like last time, bring some parts you worked on" >"mlb, battery, shields type of stuff is interesting" OpenAI recruiter, quoted: "No, you won't sign anything at the exit interview. If they do ask you to sign anything, let me know asap." APPLE TOLD FEDERAL JUDGE: >"OpenAI knows its misappropriation is wrong and has tried to conceal it." >"This is not a case of 'mere hiring'... it is a case of repeated instances of deliberate theft." Apple says OpenAI went after its SUPPLIERS: >OpenAI "directed a trusted Apple partner [name redacted] to perform [Apple's proprietary metal finishing] process for them, knowing it was proprietary to Apple... because they were involved in this partnership while at Apple." Apple put its own Surface Finishing Manager, Jackie Hughes, under oath to prove it. Apple named ELEVEN MORE former Apple employees at OpenAI — beyond Liu, Tan, and Peng — Fourteen people total. Apple also filed a concurrent motion for EXPEDITED DISCOVERY demanding depositions: - Liu. Tan. Peng. - A fourth unnamed OpenAI employee - Plus OpenAI itself, under oath, through Rule 30(b)(6) Apple has asked a federal judge to put OpenAI under forensic supervision RIGHT NOW: >Forensic inspection of ALL OpenAI devices >ALL cloud storage, Slack, email >Including anything that "previously contained" Apple data — deleted included Demanding the "first available hearing date," citing "imminent threat" to its trade secrets. APPLE: > "The harm is happening now — every day that passes without an injunction allows OpenAI to embed their knowledge of Apple's stolen information into its hardware development efforts." Hearing: October 1, 2026. Judge Edward J. Davila. ITS HAPPENING
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SpaceX is hiring exceptional engineering & skilled trades talent to build & operate the most powerful AI supercomputer clusters on & off Earth. If interested, please email 3 bullet points demonstrating evidence of exceptional ability & your resume to datacenters@spacex.com.
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Interesting trend: CTO/ Head of Eng / VPE folks at startups and mid-sized companies are... leaving / burning out. Hiring for these roles is HARD, but even after filling the role, they will often leave a few months later and take a career break And they have v good reasons
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💁‍♀️💁‍♀️💁‍♀️We are hiring:
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After seeing first-hand how artificial intelligence can transform hiring, tech exec Clara Shih started the New Work Foundation to help young people build careers using AI, rather than be replaced by it. 📸: New Work Foundation
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SAP shares jumped on strong Q2 results, driven by resilient enterprise demand and accelerating cloud growth! AI PRODUCTIVITY: SAP achieved a 30% boost in developer productivity from AI, enabling a non-AI hiring freeze while keeping cloud targets intact. EBIT OUTLOOK: Full-year operating profit targets sit at a €12.0B midpoint following dilutive acquisitions. THE RATING: Despite operational efficiency and a 2.01% dividend yield, geopolitical uncertainties keep the Seeking Alpha Quant score at a neutral HOLD. Is SAP's AI-driven productivity model the future for enterprise software? $SAP
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The machine economy does not begin when robots get smarter. It begins when a machine can be paid to do something, and every party involved can prove what happened. Made with @FabricFND. Two systems meet in the middle of it: Agent Passport issues the agent a verifiable identity and a spending authority its owner defines, and RoboPay actuates a robot after the payment behind the request checks out. What happens before the robot moves: ▷ Authority is granted once, and it is bounded. The human signs a spending session with a passkey: a total budget, a per-transaction ceiling, the assets allowed, and an expiry. The agent holds no card number and no wallet key. It holds a delegation it cannot exceed. ▷ Two payments, because these are two different obligations. One settles with the merchant for the goods. A separate x402 payment pays the robot for the work of moving them. Buying a thing and hiring a machine to carry it are not the same transaction, and the receipt keeps them apart. ▷ Verification comes before motion. The request arrives with an x402 payment header. The facilitator checks the network, the price, the payee wallet, and the signed payload. Only then are the transaction details sealed onto the robot action event and the command published. Until that clears, the robot sits still. ▷ Every step leaves a receipt. Identity, scope, approval, both payments, verification, dispatch. When you need to know why a machine did something, the answer is a record rather than a guess. (This run was executed in a demo environment.) Agents have been paying for software for a while now. Paying for physical work is a harder problem, because a delivery cannot be rolled back. The guarantee has to sit in front of the action instead of behind it. Authorization before payment, payment before motion: that ordering is what makes it safe to let autonomous systems spend in the world we live in. It is also the layer the machine economy has to get right before anything else in it can work. Scoped by Kite. Verified by RoboPay. Delivered in the real world. 🪁
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