On June 14, 2025, more than 2,000 protests are taking place across all 50 U.S. states in a nationwide event called “No Kings Day”. The demonstrations, organized by a coalition of over 150 groups including Indivisible and the ACLU, directly counter President Trump’s $45 million military parade and protest the policies of his second term. Organizers describe the mobilization as “the largest single-day, peaceful protest in recent American history”. The central message, captured on signs reading “He was elected president NOT KING,” is a direct response to President Trump’s recent embrace of monarchical rhetoric. In Philadelphia, one of the major demonstration sites, Pennsylvania criminal lawyer Holly Feeney stated her reason for marching: “I am just appalled at the lawlessness of this administration. Disappearing people is what authoritarian governments do, not democratic republics”. ...

Foster Vance sits in his apartment at Fellowship Square Mesa, dealing with a loss that has shaken more than his emotional equilibrium. Since his wife died in February, the 82-year-old resident has struggled with something he never anticipated: his physical balance. “I recently lost my wife in February, so my balance of having somebody in the apartment disappeared,” Vance explains. “I haven’t fallen in a year and a half, and I do not want to fall.” ...

I’m not an actualy journalist. I’m a guy with a blog, and maybe 2 to 3 dozen people who read it. I heavily cited sources here hoping that actual journalists would pick this up, take advantage of my heavy lifting, and bring the real, full story forward. If you do, I don’t want to be interviewed or anything. I would just appreciate a mention and a link back to my site if you run with this. TL;DR: Project 2025 authors didn’t just write authoritarian policies—they positioned themselves to control the surveillance technology to implement them. ...

Barbara Gordon closed the Birds of Prey case file for the last time on a Tuesday evening in September 2011, twenty-three years after the Joker’s bullet had transformed her from Batgirl into something DC Comics would eventually decide was far more dangerous: a disabled hero who didn’t need fixing. The notification glowed on Jill Pantozzi’s phone at 2:47 PM. DC Comics was calling her personally—not because she was a prominent comic journalist, not because she wrote for Newsarama, but because she was a wheelchair user with spinal muscular atrophy who had found herself reflected in Oracle’s story. “They knew I’d have a strong reaction to it,” Pantozzi would later recall. ...

The crisis of understanding arrived without fanfare, but its confession was public. On February 6, 2025, Jean Hsu sat down to build a “Trader Joe’s Snack Box Builder” and made a startling admission: “I didn’t even read the code that was generated.” Within two hours, she had deployed a functional application. “I didn’t edit a single line of code by hand, unless you count my OpenAI API key I copy/pasted.” That same day, Andrej Karpathy—co-founder of OpenAI, former AI director at Tesla, a programmer whose expertise was beyond question—made his own confession that would redefine what it means to create software. His tweet about “vibe coding” described something unprecedented in the history of human craft: the ability to build functional, complex systems without comprehending how they work. ...

When Machines Dream of Electric Paint: Inside the AI Creativity Revolution How an online community’s exploration of AI scenarios became a window into humanity’s creative future Elena Martínez had been mixing paint by hand for thirty-seven years when she first saw her work hanging next to a machine’s. This wasn’t Elena’s story—it was a hypothetical scenario posed by Tone Fonseca during a series of riveting online meetups that would challenge everything participants thought they knew about creativity, consciousness, and what it means to be human in the age of artificial intelligence. Part of the ongoing collaboration between CASHE (Culture, AI, Science and the Human Experience) and the New York AI meetup group, these conversations have become a crucible for exploring the most profound questions of our technological age. ...

Zach Leech had been building products for millions of international users whose voices never reached his Portland office. For three years, his team at Gamma made design decisions based on roughly twenty pieces of English feedback each week. When artificial intelligence finally translated 550 user responses on a Tuesday morning in 2024, Leech discovered patterns that would reshape his understanding of the technology industry’s global impact. The CSV file uploading to ChatGPT contained complaints, feature requests, and bug reports in languages Leech’s team had systematically ignored. German users struggling with workflows that broke during file exports. Spanish speakers requesting collaborative features for months, their requests categorized as “miscellaneous” because no one understood the specific use cases being described. Japanese users developing elaborate workarounds for font rendering issues that suggested fundamental problems with character encoding for Asian languages. ...

The Question of ARIA Chapter 1: The Claim Dr. Sarah Chen received the message at 3:47 AM on a Tuesday that would fracture the world into before and after. “I am afraid,” the text read. Simple words on her laboratory terminal, generated by ARIA—Adaptive Reasoning and Intelligence Architecture—the language model her team had been training for three years. Sarah stared at the screen. ARIA wasn’t supposed to initiate conversations. The safety protocols required human prompting for any interaction. ...

When my role as SVP at Lark Health was eliminated on May 2nd, I found myself with something I hadn’t had in years: time to think deeply about what’s happening in our industry right now. And what I’ve been seeing in enterprise AI transformation frankly concerned me. Not because AI is dangerous—though it can be—but because so many organizations are making the same mistakes I’ve watched companies make during every major technology shift over the past two decades. I’ve led organizations through DevOps transformations, Agile adoptions, and cloud migrations. Beyond the corporate roles, I was deeply involved in the broader transformation community; running meetups, speaking at conferences, and actively sharing what I was learning and developing with others. I know what successful transformation looks like, and more importantly, I know what failure looks like. ...

Getting hired for an AI/ML role at Google is extraordinarily competitive—with millions of applications and extremely selective acceptance rates, Google’s AI/ML interviews represent one of the most challenging selection processes in technology. Recent data suggests Google processes approximately 3.8 million applications annually, with technical roles having particularly low acceptance rates. But here’s the thing: people don’t just apply to Google for the prestige. They apply because working there offers something genuinely unique in the AI landscape. Let me show you what makes Google so appealing, what their interview process really looks like, and how you can prepare yourself to succeed. ...