与「SUBWAY」相关的搜索结果

holy opus 5... 🤯 At first I was VERY disapointed, the model is ridiculously slow and the output was not impressive. i was using it WRONG. fable 5 can take a shit prompt and give you gold, but it will also burn all your tokens. opus is the opposite. use loops, graphs, reviewers, orchestrators, and agents working in parallel. ( this subway surfers game took over 3 hours ) Your output will be 10x better. The crazy part is, even with all these agents working together I have PLENTY of usage left on my first claude plan. The skill ceiling is insanely high, if you put time into a good agentic engineering strategy you can achieve BETTER output than fable. Opus 5 is a true daily driver.

New York City's most desirable job might not be on Wall Street or Broadway, but underground, cleaning the subway. MTA transit cleaners help maintain the tidiness on subway cars and stations in NYC's sprawling underground. Despite its near-minimum wage, many find themselves waiting years for the chance to snag the gig. Read more:

Japan's Prime Minister briefed her country with wet hair last night. Beijing would have detained the citizen who filmed it. At 10:29 p.m. on Friday, a magnitude 5.6 earthquake struck Japan's Yamanashi Prefecture, registering a maximum seismic intensity of lower 6 in the town of Fujikawaguchiko at the foot of Mount Fuji. By 11:15 p.m. — forty-six minutes later — Prime Minister Sanae Takaichi was standing at the Prime Minister's Office briefing the nation. Crisis management center activated. Director-general-level emergency gathering team convened. Human life first. Information to the public, promptly and accurately. She was also visibly straight out of the bath. Hair still wet. No makeup. Takaichi posted on her own X account a short time later, in plain language: she had come directly from the bath without time to dry her hair or apply makeup, and apologized for her appearance. She did not have to volunteer that detail. She chose to. That choice is the story. Because somewhere about 1,700 miles to the west, operating under the same physics but a very different political philosophy, the first hour after a magnitude 5.6 earthquake would have looked nothing like this. It would not have been spent activating a crisis center, dispatching emergency teams, and putting the head of government in front of cameras to admit she had rushed straight out of the shower. It would have been spent deciding what to tell the public, what to delete, and which citizen with a camera to detain. We know because we have watched it happen. In Wuhan in early 2020, the doctors who tried to warn the world about a novel coronavirus were summoned by police and forced to sign confessions for "spreading rumors." The citizen journalists who filmed the morgues and the sealed apartment doors — Chen Qiushi, Fang Bin, Li Zehua — were disappeared by the state. Fang Bin would later be sentenced to three years in prison; he was held for the duration. In Zhengzhou in July 2021, passengers drowned trapped in a flooded subway tunnel while state propaganda ran headlines about heroic rescue. When BBC correspondent Robin Brant asked the local government how a metro system less than a decade old could leave passengers to die on a platform, the Henan branch of the Communist Youth League posted his whereabouts to its 1.6 million followers and called for people to track him down. Death threats followed within hours. In Hebei in August 2023, when the floodwaters from Typhoon Doksuri had to go somewhere, authorities diverted them away from Beijing and into Zhuozhou — and the Hebei provincial Party Secretary, Ni Yuefeng, publicly declared the province would "serve as a moat for the capital." Videos of the submerged villages disappeared from Chinese social media within hours. And in Sichuan in 2008, after a magnitude 8.0 earthquake killed at least 5,335 schoolchildren in school buildings that collapsed while government offices nearby remained standing — what citizens named "tofu-dreg schoolhouses" — the writer Tan Zuoren tried to compile a list of the dead. He was sentenced to five years in prison. Huang Qi, the activist who tried to help the parents, got three years; in 2019, the Party gave him twelve more on state-secrets charges. He is still inside. The pattern is not a series of accidents. It is a system. In the People's Republic of China, the function of the state in a disaster is not to serve the public. It is to protect the Party from the public. Compare and contrast. In Tokyo on Friday night, the head of government decided that telling the country what she knew, forty-six minutes after the ground stopped shaking, mattered more than how her hair looked. In Beijing under any equivalent scenario, the head of government would not be at a podium for hours, or days. The citizens with cameras would already be on a list. Wet hair is not the real headline. Wet hair is the headline because of what it accidentally exposes: a democracy is a system that runs toward its citizens in the dark. A dictatorship is a system that hides from them. Sanae Takaichi did not need to apologize for her hair. The Chinese Communist Party owes apologies it will never make, to families whose dead it never named. ACI — Aric Chen | Insights

A Chinese developer created an agent system in Claude Code to sell landing pages to small businesses and, working completely solo, serves about 47 clients a month, charging around $400 for each one. He built 7 agents on Claude Sonnet capable of analyzing Google Maps in small cities, detecting businesses without websites or with totally outdated pages, and taking each opportunity all the way to a finished mockup, a promotional video, and a ready-to-send prospecting message. No assistants. No sales team. No SDRs. Just him, a MacBook, an iPhone, and an API key. While traditional agencies maintain full teams to handle the same workflow, his only real costs are tokens and subscriptions to Lovable, Higgsfield, and Calendly. The 7 agents operate coordinated by an orchestrator in Claude Code Router. The system consumes about 3 million tokens daily, and the average API spend is just around $480 a month. They all work via MCP servers and share state using the file system, avoiding concurrency and shared memory issues. Even one of the agents lives directly on his iPhone and responds to leads while he's on the subway, in a taxi, or walking. This was the main prompt he set up: “You are the orchestrator of a solo agency that sells ready-made websites to local businesses…” The key is that the system perfectly understands what it is, what its limits are, and what goals it must achieve. It knows it must find leads automatically. It knows it must convert each opportunity into a landing page, a video, and a sales message without human intervention. And it knows exactly when to involve the owner. The system runs 24/7: Scout analyzes about 220 businesses daily and queues up 30 new leads. Diagnoser generates diagnostics and personalized messages for each lead. Builder creates between 3 and 5 complete landing pages for the best prospects. Filmer produces a 10-second vertical video for each proposal. Pitcher sends about 30 messages daily across 4 different channels with a response rate close to 14%. Checker automatically reviews all messages before sending them. Only when a deal exceeds $3,000 or the response rate drops below 12% does the system wake the owner. And if he's on the subway or in a taxi at that moment, the Mobile agent automatically responds to the interested lead, schedules a call in Calendly, and returns the lead to the queue. The owner just has to hit “approve” and jump into the meeting. Some real system logs: “218 businesses analyzed in Austin, Denver, and Miami. 34 without websites, 19 with 2014-era sites, and 6 with reviews requesting redesigns.” “30 messages sent. 14 responses. 5 positive. 3 Zooms scheduled.” “Landing page created for a dental clinic. Responsive. 5 sections. Video rendering.” “$3,400 deal exceeds approved limit. Sending for manual review.” And the craziest part is that he has no dedicated servers or backend. Just a local sandbox, an MCP router, a Claude API key, and that same key connected to his iPhone. Of everything I've seen this year, this is probably the cleanest and most efficient example of a fully automated one-person agency: $480 a month on APIs. $18,800 in revenue. 7 prompts. A file system. And a phone in his pocket. Save this before it's too late.

🚨 R*TARD UPDATE: During the Knicks championship parade, a woman DUMPED a FULL public trash can onto the NYC sidewalk to steal the limited-edition blue & orange Knicks bin, and then rides the subway home with it. She’s Angie Báez, a longtime DEI executive (promoted to Executive Director at JPMorgan Chase, previously DEI lead at The Infatuation). JPMorgan fired her after the video went mega-viral. NYC Sanitation called it “illegal, antisocial, and incredibly stupid.” The irony is actually insane. Was firing her justified, or overkill for a stupid souvenir heist?

I’ve been living immersed in South Korea for the last month with my wife and daughter. We just leave the stroller outside if we go in anywhere. Because no one’s going to steal it. I met a friend for lunch. He rode his bicycle. He just left it outside in an alley without a lock. It was still there 2 hours later. Another friend mistakenly left his phone on a park bench. When he finally retraced his steps and went back 4 hours later, his iPhone was still there. I walked by a KPop concert. The fans who traveled from outside of Seoul to attend just left their luggage outside the subway station. No locks. No security. Koreans take this for granted. They don’t realize this is not normal for most the world, especially America. When I ask about it, they just respond, “of course, why would someone take it?” Can you imagine any of these things happening or being possible in NYC or LA or *insert city*? And IF, something were to be stolen in Korea, the police would investigate. Because in a high trust society, rules and norms matter. There’s no “under $1000” law. Theft is theft. And trust is trust. Will this social norm ever be possible in America?

NEW: Inside Coinbase's Latest System Update "We don't F around" What it really takes to build the 'everything exchange,' from: strategy, brand, legal, & the chain it all runs on BTS with @coinbase: - CEO Brian Armstrong (@brian_armstrong) - CMO Cat Ferdon (@catferdon) - VP of Legal Molly Abraham (@mtothekg) - Head of Base Jesse Pollak (@jessepollak) Timestamps 00:00 Welcome to System Update 00:34 Coinbase MCP: any AI agent can trade your account in plain English 00:53 Coinbase Advisor, the SEC-registered AI agent, and accounts for agents 01:19 Reaching 4 billion unbrokered people 02:10 The everything exchange, explained 02:47 Operating through four crypto cycles 03:54 Brian's hottest take: the agentic economy 04:29 Why AI agents need crypto rails, not banks 05:09 How many agents Coinbase runs today 05:51 Arbitraging AI costs: 80% of work to 99% cheaper models 07:07 Onshoring global liquidity 07:48 Cat Ferdon on reaching 4 billion users 08:37 Marketing through booms and busts 09:32 The biggest misconceptions about crypto 10:00 The campaigns: Subway Surfers and the NPC ad 11:11 Lessons from Cash App + Hot take: "you can't buy aura" 12:17 Molly Abraham on working with Brian in a regulated environment 13:05 Launching real tokenized securities the hard way 13:43 USDC, Circle, and stablecoins as the killer app 14:50 Suing the government and the open SEC and CFTC 15:10 How AI changes legal, and token maxing by Tuesday 16:40 Jesse Pollak: Base becomes the biggest blockchain in 5 years 17:25 Building a decentralized chain inside a public company 18:44 Base's biggest use cases: trading, payments, and agents 19:10 Tokenized equities and real agent businesses on Base