惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

V
Vulnerabilities – Threatpost
Google DeepMind News
Google DeepMind News
T
Threatpost
AWS News Blog
AWS News Blog
NISL@THU
NISL@THU
Security Latest
Security Latest
C
Cisco Blogs
Spread Privacy
Spread Privacy
Simon Willison's Weblog
Simon Willison's Weblog
L
LINUX DO - 热门话题
Know Your Adversary
Know Your Adversary
L
LINUX DO - 最新话题
P
Privacy & Cybersecurity Law Blog
SecWiki News
SecWiki News
O
OpenAI News
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
H
Hacker News: Front Page
Scott Helme
Scott Helme
C
Check Point Blog
WordPress大学
WordPress大学
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
爱范儿
爱范儿
博客园 - 【当耐特】
H
Heimdal Security Blog
The Hacker News
The Hacker News
罗磊的独立博客
C
CERT Recently Published Vulnerability Notes
美团技术团队
Application and Cybersecurity Blog
Application and Cybersecurity Blog
S
SegmentFault 最新的问题
Last Week in AI
Last Week in AI
Project Zero
Project Zero
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
宝玉的分享
宝玉的分享
The Register - Security
The Register - Security
A
Arctic Wolf
酷 壳 – CoolShell
酷 壳 – CoolShell
G
GRAHAM CLULEY
L
Lohrmann on Cybersecurity
T
The Blog of Author Tim Ferriss
G
Google Developers Blog
Attack and Defense Labs
Attack and Defense Labs
博客园 - 叶小钗
大猫的无限游戏
大猫的无限游戏
Latest news
Latest news
I
InfoQ
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
Y
Y Combinator Blog
J
Java Code Geeks
S
Security @ Cisco Blogs

Hacker News: Front Page

SPICE simulation → oscilloscope → verification with Claude Code — Lucas Gerads GitHub - GainSec/AutoProber: Hardware hacker’s flying probe automation stack for agent-driven target discovery, microscope mapping, safety-monitored CNC motion, probe review, and controlled pin probing. Introducing Claude Opus 4.7 Qwen Studio The Future of Everything is Lies, I Guess: Where Do We Go From Here? GitHub - SeanFDZ/macmind: Single-layer transformer in HyperTalk for the classic Macintosh Virginia Bans Sale of Geolocation Data Show HN: Agent-cache – Multi-tier LLM/tool/session caching for Valkey and Redis Ancient DNA reveals pervasive directional selection across West Eurasia [pdf] AI cybersecurity is not proof of work Moving a large-scale metrics pipeline from StatsD to OpenTelemetry / Prometheus GitHub - Nightmare-Eclipse/RedSun: The Red Sun vulnerability repository GitHub - SethPyle376/hiraeth: Local AWS emulator focused on fast integration testing, with SQS support, SQLite-backed state, and a debug-friendly web UI. A Better Ludum Dare; Or, How to Ruin a Legacy GitHub - macOS26/Agent: Any AI, replaces Claude Code, Cursor, OpenClaw. Over 18 LLM providers (Claude, OpenAI, Gemini, Ollama, Zai, HF, Qwen) wired into a native Mac app that writes code, builds Xcode projects, bumps versions, manages git, automates Safari, use AppleScript, JS or Accessibility, extend Agent! w/ MCP Servers, run tasks from your iPhone via Messages. YouTube now lets you turn off Shorts I Made a Terminal Pager Burgers | マクドナルド公式 Commands — HackerNews CLI documentation ChatGPT for Excel PiCore - Raspberry Pi Port of Tiny Core Linux Live Nation illegally monopolized ticketing market, jury finds Google Broke Its Promise to Me. Now ICE Has My Data. Founding Engineer at Adaptional | Y Combinator CRISPR takes important step toward silencing Down syndrome’s extra chromosome GitHub - saffron-health/libretto: The AI toolkit for building reliable browser automations US v. Heppner (S.D.N.Y. 2026) no attorney-client privilege for AI chats [pdf] Unexpected €54k billing spike in 13 hours: Firebase browser key without API restrictions used for Gemini requests Fragments: April 14 Cal.com Goes Closed Source: Why AI Security Is Forcing Our Decision | Cal.com - Scheduling Software for Online Bookings Laravel raised money and now injects ads directly into your agent Codex Hacked a Samsung TV Tech Valuations Back to Pre-AI Boom Levels A perfectable programming language — Soter GitHub - halfwhey/claudraband: Claude Code for the Power User Partnership through Play: Investigating How Long-Distance Couples Use Digital Games to Facilitate Intimacy Textbooks and Methods of Note-Taking in Early Modern Europe (2008) Eternity in six hours: Intergalactic spreading of intelligent life (2013) Seven countries now generate 100% of their electricity from renewable energy Tell HN: OpenAI silently removed Study Mode from ChatGPT Pro Max 5x Quota Exhausted in 1.5 Hours Despite Moderate Usage Show HN: Oberon System 3 runs natively on Raspberry Pi 3 (with ready SD card) Tell HN: docker pull fails in spain due to football cloudflare block Bring Back Idiomatic Design No one owes you supply-chain security GitHub - xsawyerx/curl-doom: DOOM, played over cURL Apple update turns Czech mate for locked-out iPhone user The Grand Line Cache TTL silently regressed from 1h to 5m around early March 2026, causing quota and cost inflation Building a Z-Machine in the worst possible language The peril of laziness lost Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda AI Will Be Met With Violence, and Nothing Good Will Come of It GitHub - duguyue100/midnight-captain: Inspired by Midnight Commander, tailored to my taste. How to build a `git diff` driver · Jamie Tanna | Software Engineer Center for Responsible, Decentralized Intelligence at Berkeley The Local Universe’s Expansion Rate Is Clearer Than Ever, but Still Doesn’t Add Up - A new synthesis of astronomical measurements confirms a persistent mismatch that could point to physics beyond current models The disturbing white paper Red Hat is trying to erase from the internet – OSnews NetBlocks (@netblocks@mastodon.social) The Future of Everything is Lies, I Guess: Annoyances ‘Abhorrent’: the inside story of the Polymarket gamblers betting millions on war Productive procrastination — Max van IJsselmuiden maps, territory and LMs 447 Terabytes per Square Centimetre at Zero Retention Energy: Non-Volatile Memory at the Atomic Scale on Fluorographane Show HN: Pardonned.com – A searchable database of US Pardons 20 Years on AWS and Never Not My Job The Seasons are Wrong The FAA wants gamers to apply for air traffic control jobs Artemis II crew splashes down near San Diego after historic moon mission Why weekends are under threat We gave an AI a 3 year retail lease in SF and asked it to make a profit | Andon Labs How a dancer with ALS used brainwaves to perform live On filing the corners off my MacBooks Installing every* Firefox extension OpenClaw’s memory is unreliable, and you don’t know when it will break Steve Blank Nowhere Is Safe Chimpanzees in Uganda locked in vicious 'civil war', say researchers watgo - a WebAssembly Toolkit for Go linux/Documentation/process/coding-assistants.rst at master · torvalds/linux GitHub - callumlocke/json-formatter: Makes JSON easy to read. Founding Product Engineer at Bild AI | Y Combinator A compelling title that is cryptic enough to get you to take action on it GitHub - Keychron/Keychron-Keyboards-Hardware-Design: Industrial design files for Keychron keyboards and mice. 100+ models with CAD assets in STEP, DXF, DWG, and PDF. Source-available, with commercial use allowed for original compatible accessories within the license terms. [ANNOUNCE] WireGuardNT v0.11 and WireGuard for Windows v0.6 Released 1D-Chess Helium Is Hard to Replace Keeping a Postgres queue healthy — PlanetScale Serenity Forge (@serenityforge.com) Our response to the Axios developer tool compromise Do Americans read print books, e-books or audiobooks more? Uncharted island soon to appear on nautical charts The Problem That Built an Industry Fragments: April 2 Python Release Python install manager 26.1 Bitcoin miners are losing $19,000 on every BTC produced as difficulty drops 7.8% God sleeps in the minerals Harness engineering: leveraging Codex in an agent-first world Apple Silicon and Virtual Machines: Beating the 2 VM Limit What have been the greatest intellectual achievements? The APL Programming Language Source Code
Silicon Valley Has an Empathy Vacuum
Om Malik · 2026-06-26 · via Hacker News: Front Page

Silicon Valley seems to have lost a bit of its verve since the Presidential election. The streets of San Francisco—spiritually part of the Valley—feel less crowded. Coffee-shop conversations are hushed. Everything feels a little muted, an eerie quiet broken by chants of protesters. It even seems as if there are more parking spots. Technology leaders, their employees, and those who make up the entire technology ecosystem seem to have been shaken up and shocked by the election of Donald Trump.

One conversation has centered on a rather simplistic narrative of Trump as an enemy of Silicon Valley; this goes along with a self-flagellating regret that the technology industry didn’t do enough to get Hillary Clinton into the White House. Others have decided that the real villains are Silicon Valley giants, especially Twitter, Facebook, and Google, for spreading fake news stories that vilified Clinton and helped elect an unpopular President.

These charges don’t come as a surprise to me. Silicon Valley’s biggest failing is not poor marketing of its products, or follow-through on promises, but, rather, the distinct lack of empathy for those whose lives are disturbed by its technological wizardry. Two years ago, on my blog, I wrote, “It is important for us to talk about the societal impact of what Google is doing or what Facebook can do with all the data. If it can influence emotions (for increased engagements), can it compromise the political process?”

Perhaps it is time for those of us who populate the technology sphere to ask ourselves some really hard questions. Let’s start with this: Why did so many people vote for Donald Trump? Glenn Greenwald, the firebrand investigative journalist writing for The Intercept, and the documentary filmmaker Michael Moore have listed many reasons Clinton lost. Like Brexit, the election of Donald Trump has focussed attention on the sense that globalization has eroded the real prospects and hopes of the working class in this country. Globalization is a proxy for technology-powered capitalism, which tends to reward fewer and fewer members of society.

My hope is that we in the technology industry will look up from our smartphones and try to understand the impact of whiplashing change on a generation of our fellow-citizens who feel hopeless and left behind. Instead, I read the comments of Balaji Srinivasan, the C.E.O. of the San Francisco-based Bitcoin startup 21 Inc., telling the Wall Street Journal columnist Christopher Mims that he feels more connected to people in his “Stanford network” around the globe than to those in California’s Central Valley: “There will be a recognition that if we don’t have control of the nation state, we should reduce the nation state’s power over us.”

It’s hard to think about the human consequences of technology as a founder of a startup racing to prove itself or as a chief executive who is worried about achieving the incessant growth that keeps investors happy. Against the immediate numerical pressures of increasing users and sales, and the corporate pressures of hiring the right (but not too expensive) employees to execute your vision, the displacement of people you don’t know can get lost.

However, when you are a data-driven oligarchy like Facebook, Google, Amazon, or Uber, you can’t really wash your hands of the impact of your algorithms and your ability to shape popular sentiment in our society. We are not just talking about the ability to influence voters with fake news. If you are Amazon, you have to acknowledge that you are slowly corroding the retail sector, which employs many people in this country. If you are Airbnb, no matter how well-meaning your focus on delighting travellers, you are also going to affect hotel-industry employment.

Otto, a Bay Area startup that was recently acquired by Uber, wants to automate trucking—and recently wrapped up a hundred-and-twenty-mile driverless delivery of fifty thousand cans of beer between Fort Collins and Colorado Springs. From a technological standpoint it was a jaw-dropping achievement, accompanied by predictions of improved highway safety. From the point of view of a truck driver with a mortgage and a kid in college, it was a devastating “oh, shit” moment. That one technical breakthrough puts nearly two million long-haul trucking jobs at risk. Truck driving is one of the few decent-paying jobs that doesn’t require a college diploma. Eliminating the need for truck drivers doesn’t just affect those millions of drivers; it has a ripple effect on ancillary services like gas stations, motels, and retail outlets; an entire economic ecosystem could break down.

Whether self-driving cars and trucks, drones, privatization of civic services like transportation, or dynamic pricing, all these developments embrace automation and efficiency, and abhor friction and waste. As Erik Brynjolfsson, a professor at the M.I.T. Sloan School of Management, told MIT Technology Review, “Productivity is at record levels, innovation has never been faster, and yet at the same time, we have a falling median income and we have fewer jobs. People are falling behind because technology is advancing so fast and our skills and organizations aren’t keeping up.” It is, he said, “the great paradox of our era.”

We talk about the filter bubbles on social networks—those algorithms that keep us connected to the people we feel comfortable with and the world we want to see—and their negative impacts, but real-world filter bubbles, like the one in Silicon Valley, are perhaps more problematic. People become numbers, algorithms become the rules, and reality becomes what the data says. Facebook as a company makes these bubble blunders again and again. Its response to the ruckus over fake news is a perfect illustration of the missing empathy gene in Silicon Valley. Mark Zuckerberg, one of the smartest and brightest founders and chief executives of the post-Internet era, initially took a stance that Facebook can’t really play arbiter of what is real and what is fake news. It took a whole week for the company to acknowledge that it can build better tools that help fight the scourge of fake news and yet stay neutral.

It isn’t the first time Facebook has shied away from the reality that it can influence the lives of the billion and a half people connected to it. A perfect example came two years ago, when Facebook, in its “Your Year in Review” feed, published the photo of the dead daughter of a user named Eric Meyer, prompting Meyer to write, “Algorithms are essentially thoughtless. They model certain decision flows, but once you run them, no more thought occurs.”

It seems possible to model the eventuality of a dead child’s photo showing up on the feed, but the designers didn’t consider it, perhaps because those who write these algorithms have not experienced such trauma, or perhaps they just weren’t talking about the human feelings in their product meetings—a particularly likely possibility when a company is focussed on engagement and growth. The lack of empathy in technology design doesn't exist because the people who write algorithms are heartless but perhaps because they lack the texture of reality outside the technology bubble. Facebook’s blunders are a reminder that it is time for the company to think not just about fractional-attention addiction and growth but also to remember that the growth affects real people, for good and bad.

It is not just Facebook. It is time for our industry to pause and take a moment to think: as technology finds its way into our daily existence in new and previously unimagined ways, we need to learn about those who are threatened by it. Empathy is not a buzzword but something to be practiced. Let’s start by not raging on our Facebook feeds but, instead, taking a trip to parts of America where five-dollar lattes and freshly pressed juices are not perks but a reminder of haves and have-nots. Otherwise, come 2020, Silicon Valley will have become an even bigger villain in the popular imagination, much like its East Coast counterpart, Wall Street.