AI 资讯
Ford had to hire back former engineers to fix mistakes made by its automated systems
To celebrate its new status as No. 1 in JD Power's initial quality ranking among mainstream automakers, Ford is opening up about the challenges it has faced in recent years, especially around its reliance on automated systems in production and design. It turns out that those automated systems were not as robust as previously assumed, […]
科技前沿
Underpromise, overdeliver? Hands-on with the $24,950 Slate auto.
It has 205 miles of bare-bones range.
科技前沿
Formula E reveals first calendar for GEN4 with lots of real race tracks
Brands Hatch, COTA, and Zandvoort will all hold an e-Prix in 2027.
AI 资讯
Elon Musk denies Tesla’s Autopilot caused crash that killed grandmother
Tesla, accused of failing to fix design flaws, blames driver pressing accelerator.
AI 资讯
Zoox’s purpose-built robotaxi is getting a refresh
Zoox, the autonomous vehicle company owned by Amazon, unveiled a new look for its boxy, bidirectional robotaxi, calling it the "next evolution" of the vehicle intended for mass production. The company is currently operating a free robotaxi service in San Francisco, Las Vegas, Austin, and Miami while it waits for the federal government to approve […]
开发者
Slate Auto's truck builder goes live for its $25k electric pickup
From a bare-bones pickup to a loaded, wrapped SUV, here's what some Slates will cost.
科技前沿
With a Range Bump, the $25K Slate Is the Most Affordable EV Truck in the US
Launching with better specs than expected, the no-frills Bezos-backed electric pickup looks set to take on Ford’s Maverick—and be an EV truck you can afford and fix yourself.
AI 资讯
The Slate Auto pickup truck starts at $24,950
We now know the price of Slate Auto's affordable American-made electric truck, almost a year after the company warned it wouldn't hit its initial "under $20,000" target price. The no-frills pickup starts at $24,950 - matching the revised mid-$20,000 price range it promised last year, after the Trump administration announced it was putting an end […]
AI 资讯
I drove the Slate Truck — there’s more to it than EV minimalism
With its new pickup, Slate Auto is making a simple bet: price matters more than almost anything else. The company announced today that the American-made electric truck will start at $24,950, placing it squarely in the mid-$20,000 price range it had originally promised and making it the least expensive pickup truck and EV available today. […]
AI 资讯
Stratagems #1: Mark Johnson Walked Into an AI Audit. The Benchmark Had Everything Figured Out — Except the Truth.
Complete preparation breeds complacency. What is seen every day no longer raises suspicion. The...
AI 资讯
I got a merged PR into a YC startup before they ever replied to my job application
I applied to a YC W25 startup the normal way. Filled out the form, wrote a decent cover letter, hit submit. Silence. While waiting, I found their open-source repo on GitHub. Read through the codebase out of genuine curiosity I wanted to understand what they were actually building. Found a bug. Fixed it. Opened a PR. It got merged in 2 days. They still hadn't replied to my application. Here's what that taught me about job hunting in 2025: A cover letter tells someone what you claim you can do. A merged PR shows them. One of those gets read. The other gets filed under "maybe later" -which is just "no" with extra steps. I'm not saying cold applications are dead. I'm saying they're the last resort, not the first move. If a company has a public repo, you have a backdoor that most applicants don't even think to try. Read the code deep and find something small but real. Fix it and Open a PR. Now you're not a stranger in their inbox you're someone who already ships for them. The reply came eventually, by the way. But by then, the maintainers already knew my GitHub handle. That matters more than you think. Have you ever landed something through a contribution instead of an application? Drop it in the comments curious how many people have done this.
AI 资讯
Your Data Engineering Take-Home Is Now 20 Hours of Free Work
I got a take-home assignment last year from a company I was genuinely excited about. "Should take about four hours," the recruiter said. Build an ingestion pipeline, model the data, write tests, document your design decisions, and prepare a 15-minute presentation walkthrough for the panel. Four hours. I laughed, closed my laptop, and started on it the next morning like it was a sprint. Sixteen hours later I had something I was proud of. Clean pipeline, solid tests, real documentation. I submitted it on a Sunday night. Monday I got a form rejection. No notes. No feedback. Not even which stage I failed. Just "we've decided to move forward with other candidates" and a link to their Glassdoor page. That was the moment I stopped pretending take-homes are assessments. They're consulting gigs. Unpaid ones. The Scope Creep Nobody Talks About Five years ago, a data engineering take-home was a focused exercise. Model this dataset into a star schema. Write a few SQL transforms. Maybe a short README. Two to four hours, tops. Bounded, reasonable, and actually useful for evaluating how someone thinks about data. That version is dead. Today, 68% of companies use take-home tests, up 12% year over year. And the scope has quietly ballooned into something unrecognizable. Full pipeline implementations. Test suites with coverage thresholds. Documentation that reads like a design doc. A presentation follow-up where you defend your architecture to a panel. We're talking 10 to 20 hours of work, routinely, for a role you haven't been offered. Industry best practice caps take-homes at 90 minutes of expected effort. The reality? Candidates consistently take 2x longer than company estimates to reach submission quality. That "four-hour" assignment is an eight-hour assignment. That "weekend project" is a week of evenings. And 25% of companies are still handing these out like they're reasonable asks. Here's the part that makes my eye twitch: 71% of engineering leaders openly say take-homes no lon
AI 资讯
Tesla claims driver ‘manually overrode self-driving’ in deadly Texas crash
Tesla is pushing back on claims that its Full Self-Driving (FSD) system caused a fatal Texas crash, where a speeding Model 3 barreled into a home, killing a 76-year-old woman inside. In a reply on X, Tesla AI head Ashok Elluswamy says the driver "manually overrode self-driving by pressing the accelerator all the way to […]
科技前沿
A curious crossover: The Toyota C-HR review
Although it's on the smaller side, this electric vehicle is not very chill.
科技前沿
ABC asks viewers to protest FCC attempt to "control who is allowed" on The View
"The FCC wants to control who is allowed on the show," ABC ad tells viewers.
开发者
Formula E’s new season is starting to look more like F1
The next season of Formula E will feature a new race format and three new race locations when it starts in December to go with the new Gen4 electric cars. The schedule released today by the FIA includes the Circuit of the Americas in Austin, the Brands Hatch circuit in Kent, and the Zandvoort circuit […]
开源项目
I automated my job (and it made me a better leader)
Explore how my day as a senior leader looks now that I use 40 automations to help, and learn more about some of my favorites. The post I automated my job (and it made me a better leader) appeared first on The GitHub Blog .
AI 资讯
Series Teaser — 6 People, 36 Stratagems, and an AI Rabbit Hole That Keeps Getting Deeper
What Are the 36 Stratagems? If you've heard of The Art of War, think of the Thirty-Six...
科技前沿
Doorbell cam filmed Tesla Autopilot crash that killed woman in her home
Tesla touts Autopilot as lifesaving a day after grandmother died in crash.
AI 资讯
I built 128 things with AI in 4 months. Then I made an AI dissect all of it.
I'm 19. In four months I built 128 projects with AI — 61 GitHub repos, 15 MCP servers, a 7-department agent OS, the works. I shipped 5 . Total stars: 6 . Revenue: $0 . That gap bothered me enough that I did the obvious-but-uncomfortable thing: I had an AI audit everything — every repo, every project folder, 4,239 build sessions, 244 memory notes — and pin it all like specimens in a cabinet. No flattery. Here's what the autopsy found. → The full interactive atlas: https://builder-archive.vercel.app/en The number that explains everything 128 built. 5 shipped. It's tempting to read that as a discipline problem. It isn't. The build velocity is real — I once shipped ~20 vertical SaaS in a single weekend on a shared Next.js + Drizzle + Stripe stack. The code works. The UIs are clean. The problem is the last mile . README writing, deployment, the final 10% that turns a repo into a thing a stranger can use — that's where almost everything died. Not ability. Execution. The AI put it in one line: "Can build anything. Finishes nothing." Strength and weakness are the same coin Here's the part I didn't want to see: the thing that makes me fast is the thing that kills me. Because I can build deep, I lose the stopping point. Because building is cheap, I start the next thing before finishing the last. The audit scored two skill axes: Build (design → implementation → automation): advanced Distribution (publish → ship → monetize): beginner Every problem I have lives in that asymmetry. It's not a motivation gap — total commits across repos: ~4,800. The effort is enormous. It just never crosses the finish line into something public. The hardest thing I made is the one I hid The audit flagged a buried asset: a GCC/ZATCA e-invoicing toolkit — Saudi Fatoora Phase 2, EN16931 + Peppol validation, secp256k1 signing, Go compiled to WASM. The single hardest, most verifiable piece of work I've done. It's been sitting in a private repo. That's the disease in one example: the more valuable the th