挂机小王子

蹇冮噷鏈夊厜

[Walrus @Walrus_systems]

this is f*cking insane, Claude Code agents turned my reading list into a lab you can run in your browser

I gave 12 agents 64 research papers and one assignment: build a browser lab where anyone can rerun the experiments

pick a fluid simulation, change the conditions and watch how the result changes

switch methods while keeping the same scene. inspect the equations, code and measurements right beside the animation

each group got a specific job:

→ readers extract equations, assumptions and experimental settings
→ builders turn the methods into runnable code
→ reviewers compare outputs against the papers
→ interface agents build the controls for exploring each experiment

a simulation can look convincing while producing the wrong answer

so reviewers check whether it preserves mass, stays stable and matches the paper's measurements before accepting the implementation

every experiment has to show:

> the claim being tested
> the conditions used
> the difference from the reference result
> the details still needed to verify it

the lab covers 11 methods across 28 reference scenes. seven matched the reference results within the stated tolerances; four are still marked for further review

want to try it? give Claude Code your paper collection and ask:

"Turn these papers into an interactive browser lab

1. Extract implementable methods, equations and experimental settings. Attach page references and flag missing details

2. Assign independent methods to separate agents. Use shared inputs and measurement tools so the results can be compared

3. Have reviewers check each implementation against the paper. Record discrepancies and keep unverified results clearly marked

4. Build controls for changing parameters, comparing methods and opening the code behind each result"

start with one paper and reproduce one reference experiment before adding more agents

include the inputs, dependencies and checks so the next reader can rerun it from a clean checkout

watch the agents at work below 👇

[小桃聊车的那些事 @RAW_IS_JERICHO]

长沙这台Can-Am三轮像成熟女企业家，身形宽，坐姿稳，不需要平衡两轮那套逻辑，反而有另一种安全感。岳阳、衡阳、株洲想看完整驾驶体验，主页继续。

[挂机小王子 @migeultan62]

@Sweetie0987 这个座高大概多少？我168有点担心脚够不着地

[挂机小王子 @migeultan62]

@ITS_RIO_KAZ 我骑过朋友的ADV去皖南，非铺装路站姿骑很稳，这货架看着更能装。

[Damir Akaza @Damir_Akaza]

My friend checked into a hotel with his girlfriend, ran a single script in Claude Code, and found out in 90 seconds that a hidden camera was running right behind the bathroom mirror

After what he told me, neither of us even unpacks a suitcase in a hotel or an Airbnb anymore until a laptop by the door finishes one full sweep

One prompt runs a 5-stage audit strictly in read-only mode:

-> Wi-Fi radar: scans the local network via nmap, resolves manufacturers from MAC addresses, and instantly flags hidden cameras and ports streaming continuous video

-> Bluetooth interceptor: listens across the room via the bleak library for unknown AirTag, Tile, and SmartTag trackers while spotting hotel locks on ancient firmware that open from the hallway

-> Spyware detector: audits your phone against the open-source Amnesty MVT toolkit and exposes hidden iconless processes quietly leaking your location or mic audio

-> Optical lens sweep: if the hotel isolates guest devices on the network, the agent walks you step by step with a flashlight across every bathroom mirror, vent, and angle facing the bed

-> Priority report: builds one clean table ranking the risk level of every suspicious device and tells you the exact next move: from demanding another room to calling the police

The agent never logs into anything, never hacks foreign devices, and translates 500 lines of raw network traffic into plain English in 2 minutes

I would rather spend 2 minutes with an open terminal in the hallway than spend the whole trip being watched

The full sweep prompt is below, just copy and paste ↓

Bookmark this post before your next check-in

[ZYNQ @0xzynq]

D*MN, I PULLED $53,200 OFF MY GROK BOT DESK AND IT REBUILT ITSELF FROM $23,600 TO $61,669 IN ONE DAY

day 4 of desk. after day 3 closed at $74K i took most of it off the table, left $23,600 and told the bots to start over

3 desks, one screen, Jev picking the coins. same rules, new coins

the day:
→ opened $23,600
→ first hour, $24,752
→ Jev rotated into Ponke and Brett, $28,055
→ slow middle, $28,452
→ Mog started running, $36,877
→ $42,677, then a dip to $40,753
→ the bots bought the dip, $56,736
→ closed at $61,669, +161% on the day

the 5 coins the desk lived in: PONKE, BRETT, MOG, PNUT, MEW. every coin from day 3 got dropped except Pnut

the funny part, the bots still talk. right after the withdrawal one typed “profit is booked today”. on the dip another just wrote “dip bought, again”. near the close: “yo, we rebuilt it in a day”

honestly the withdrawal was the real test. taking it off the table is easy, watching the desk start from a third of the size is the hard part

the rules stay boring on purpose:
→ no pool under $40K
→ no chart that’s already vertical
→ 2 losses in a row and the bot is out
→ a post on X is research, never the trigger

at 0:09 Mog runs and the bank jumps to $36K. at 0:15 the dip. at 0:21 it closes at $61K

would you have pulled the profit out after day 3, or let it all ride?

[挂机小王子 @migeultan62]

@Vegas Ref had no business adding that much stoppage time

[挂机小王子 @migeultan62]

@Vegas @charli_xcx Still think this formation doesn't survive a cold Tuesday away game

[neilchor @neilchor]

NO F*CKING WAY, I MAPPED MY GROK BOTS LIKE A SUBWAY. 5 LINES, 31 STATIONS, AND EVERY SINGLE TRAIN HAS TO STOP AT ONE STATION: MY YES

each line is one bot, each train is one task.

the lines:
→ L1 inbox: read, sort, draft reply, my yes, sent
→ L2 leads: find, score, draft note, my yes, call booked
→ L3 faq: dm in, match answer, draft, my yes, answered
→ L4 call prep: calendar, notes, my yes, brief ready
→ L5 follow-ups: promises, draft, my yes, nudged

the bots ride on their own through reading, sorting and drafting. the second a train wants to leave the building, it waits at my station.

I approve in batches a few times a day. 0 trains have skipped it.

how to wire that one station into every bot is in the article below ↓

[OrkaTV @OrkaTV]

Huge! Tons of great new content from Stingray, now available on OrkaTV!

[挂机小王子 @migeultan62]

@Levi_Evans_94 我之前骑过一次类似风格的，起步那一下确实不急，但跑起来很稳，适合周末乱逛。

[挂机小王子 @migeultan62]

@noodles_69 就像你说的，温柔得很有分寸，长时间骑下来确实比战斗姿势省腰。我也该找机会去试试这种舒展的坐姿了。

[挂机小王子 @migeultan62]

坐姿端正这个点被低估了，长时间骑车舒服与否一半看坐姿。

[挂机小王子 @migeultan62]

@damufuknman 这个比喻我笑死，皮衣穿旧了才是最有味道的时候，车也是一个道理。

[挂机小王子 @migeultan62]

@lumixsv made something like this last night and forgot the salt, again

[挂机小王子 @migeultan62]

@Sprytixl my pan was too hot and the garlic told me immediately