🚨#UPDATE: The suspects have been identified as Amanda Tom, 25, and Muhamad Tarik Hussein, 23.

— R A W S A L E R T S (@rawsalerts) April 13, 2026

Terminator was coming back from the future to stop the rise of the machines.

IRS replacing 30,000 laid-off employees with AI

You do not hate the IRS enough https://t.co/JN0ACksIeb

— Ken Klippenstein (@kenklippenstein) April 16, 2026

"America, we have a problem: Young adults are scared and unprepared for the AI revolution upending their early career choices and prospects, Jim VandeHei and Mike Allen write in a "Behind the Curtain" column.

Young people tell pollsters they're frightened, even angry, about AI's fast arrival. They're rightly unnerved by a tough job market for college grads. And most aren't remotely equipped by schools to be AI-savvy.

Why it matters: This is a growing problem for just about everyone kids, educators, employers and politicians.

The youngest, most technologically native age group should be among the biggest cheerleaders and beneficiaries of AI. They aren't. If anything, their feelings are growing more sour.

By the numbers: Gen Z's excitement about AI dropped 14 points over the last year to just 22%, according to Gallup polling released last week. Hopefulness about the technology fell nine points to 18%, while anger rose nine points to 31%.

You can't blame that trend on the AI-averse. Daily AI users among the cohort saw even bigger drops in sentiment, with excitement falling 18 points and hopefulness tumbling 11 points.

The school failure is real. More than half of college students surveyed in another Gallup poll this month say their school either discourages (42%) or outright bans (11%) AI use.

Educators know this is happening. 63% of faculty think their schools' 2025 graduates were not very or not at all prepared to use AI at work, per an American Association of Colleges and Universities survey.

Some students are trying to outsmart the times. 16% of currently enrolled college students changed their major due to AI, Gallup found.

Khan Academy, the TED conference and testing giant ETS announced this week that they're spinning up a $10,000 interactive online program that aims to train students for AI-era jobs.

The job market isn't helping. Fed data pegged the unemployment rate for recent grads at 5.7% in Q4 2025. That's above the national rate, which almost never happens.
Underemployment for recent grads is at 42.5%, the highest since 2020.

At companies that adopted AI, junior hiring fell nearly 8% within six quarters not via layoffs, but through a quiet freeze on new positions, according to a Harvard working paper tracking 62 million workers.

Between the lines: The cruelest part of this shift is structural. Entry-level jobs are likely the ones AI will automate first and they're what teach young workers to think, build judgment and ultimately move up.

If a company's bottom rungs are empty, it's hollowing out its own management pipeline years down the road.

A bright spot: IBM announced earlier this year that it's tripling entry-level hiring, predicting that the rush toward AI will fundamentally expand what the newest workers do.

The other side: There's a counterargument that the tepid job market for the youngest workers isn't solely due to AI. Some prominent economists see it as an overcorrection from the post-COVID hiring binge in 2021.

Almost 60% of hiring managers use AI as an excuse for layoffs or hiring freezes because it plays better with stakeholders, per a Resume.org survey.

Marc Andreessen called AI a "silver-bullet excuse" for layoffs last month. Salesforce CEO Marc Benioff said it's "the lazy way out." OpenAI CEO Sam Altman branded it "AI-washing."

The honest, less sexy answer is that it's probably both: Layoffs and hiring freezes are real and targeting younger workers, while AI solidifies changes in the workforce that are already underway.

Here are three things you can do to help young people in your life tackle this shift in the most clear-eyed way:

Get them using AI now. It's a vital tool for every job at every level. Encourage them to pay $20 per month for Claude, ChatGPT or Gemini. Share Jim's letter to his kids as a possible road map. But don't just take our word for it: YouTube is loaded with free how-to videos.

Lobby schools to teach basic AI ethics and techniques. It's fine for teachers to ban AI use for a specific class. But it's nuts not to equip students with the workplace skills of the future.

Encourage AI awareness. Don't repeat the mistakes of the phone-and-internet era. Get everyone you know to think about the ethics, healthy use and societal implications before it captures their minds and habits like their phone did.

The bottom line: The generation best positioned to thrive in an AI world is the most frightened of it because the people who should be teaching them aren't, and the companies that should be hiring them won't."
Axios

*If college grads can't get jobs, at least the Cal campus has a future as a giant te tooled People's Park.

Video Shows Amazon Delivery Drone Dropping Package Directly Onto Concrete, Smashing Its Delicate Contents https://futurism.com/robots-and-machines/amazon-delivery-drone-smash

"In the comments under a previous video about Amazon drone delivery that shows the drones dropping cargo from a surprising height, the "number one question* is, what if [I order] something fragile?"Hancock says in her latest."

*The number two question being, "What happens if the package lands on top of a human?"

Sometimes Trump has to kneel and kiss the ring;

"Anthropic CEO Dario Amodei is scheduled to walk into the West Wing today for a meeting with White House chief of staff Susie Wiles, a breakthrough in his effort to resolve the company's bitter AI fight with the Pentagon.

Why it matters: The Trump administration recognizes the power of Anthropic's new Claude model, Mythos, and its highly sophisticated and potentially dangerous ability to breach cybersecurity defenses.

"It would be grossly irresponsible for the U.S. government to deprive itself of the technological leaps that the new model presents," a source close to negotiations told us. "It would be a gift to China."

Reminder: Anthropic is suing the Pentagon for blacklisting the company after Amodei refused to allow his AI to be used without restrictions.

Some parts of the U.S. intelligence community, plus the Cybersecurity and Infrastructure Security Agency (CISA, part of Homeland Security), are testing Mythos. Treasury and others want it.

Behind the scenes: After Anthropic took the administration to court, negotiations with the Pentagon chilled. But Anthropic has hired key Trumpworld consultants, so expect a deal. Today's meeting is designed to pave the way.

Flashback: This is the second time Amodei has held a high-stakes meeting with a top Trump official this year.

In late February, Defense Secretary Pete Hegseth gave Amodei until the end of the week to accept the Pentagon's terms, or else. Anthropic didn't.

Since then, the Pentagon and Anthropic have been locked in a legal and political feud. Some in the administration think the fight is growing counterproductive."
Axios



"You may be an ambassador to England or France
You may like to gamble, you might like to dance
You may be the heavyweight champion of the world
You may be a socialite with a long string of pearls
But you're gonna have to serve somebody
Yes indeed, you're gonna have to serve somebody"
Bob Dylan

Cal's Matan Grinberg, founder of FACTORY Ai.

$1.5 Billion valuation.

https://www.wsj.com/tech/ai/an-investor-dared-him-to-quit-school-now-hes-building-a-1-5-billion-ai-startup-d8663e72?st=HVoWrL

When AI dispatches its Man Hunter T565 series robot to harvest my DNA for use to power a data center, I hope they send the first guy:

Technology Giants Are Accelerating The Convergence Between AI And Biology

By Shea Wihlborg | ARK
Research Analyst, Multiomics

Some of the world's largest technology companies are making substantial moves into the life sciences space through acquisitions, platform launches, partnerships, and board appointments that are signaling the deepening convergence between AI and biology. In our view, relative to any other domain, AI could have the most profound impact on biology, medicine, and health care.

Biology involves enormous complexity. The human body includes ~35 trillion cells,1 each with a genome of ~3.2 billion base pairs.2 A fraction of those base pairs encodes proteins, each folding into a specific three-dimensional structure from a vast space of possible conformations, while the remaining ~98% of the genome"dark matter"plays a critical role in regulating gene expression. While difficult to interpret, dark matter is critical to understanding many diseases.3 Researchers estimate the space of potential drug-like molecules at more than 1060, a scale well beyond the ability of human-driven experimental methods to explore systematically.4 And these examples barely scratch the surface of biological complexity.

Meanwhile, advances in multiomics sequencing are generating biological data at a scale that exceeds the unaided capacity of human beings to interpret effectively. The combination of vast biological complexity, rapidly expanding data, and conventional drug development processes that take a decade or morecompounded by the ~90% failure rate of clinical trialshas created an environment in which AI could have an outsized impact.5
Technology giants are moving into the life sciences space with distinctive strategies. Last week, Amazon Web Services (AWS) launched Amazon Bio Discovery, an AI-powered application that provides scientists with access to more than 40 AI biology models in addition to agentic assistants that guide experimental design.6 The platform routes AI-designed candidates to integrated laboratory partners, including Twist Bioscience, a synthetic biology and DNA technology company, for wet-lab synthesis and testing, with results flowing back to refine models iteratively.7 In a project with Memorial Sloan Kettering Cancer Center, for example, the platform designed ~300,000 novel antibody candidates, narrowed them to 100,000, and sent them for laboratory testingcompressing a process that traditionally takes up to one year into weeks.8

Also last week, OpenAI announced a strategic partnership with Novo Nordisk to deploy AI capabilities across drug discovery, manufacturing, supply chain, and corporate operations.9 OpenAI also introduced GPT-Rosalind, a new frontier reasoning model designed to support research across biology, drug discovery, and translational medicine, available as a research preview to qualified customers including Amgen and Moderna.10

Meanwhile, Anthropic appointed Novartis CEO Vas Narasimhan to its Board of Directorsthe first pharmaceutical industry executive to join its governing bodya move that reflects the company's conviction that life sciences represent one of the greatest opportunities for AI to improve health care and human life.11 Moreover, earlier this month, Anthropic reportedly acquired computational biology startup Coefficient Bioa small team led by founders from Genentech's computational drug discovery unitfor ~$400 million.12 Anthropic also launched Claude for Life Sciences last October,13 integrating scientific tools from partners including 10x Genomics, whose single cell and spatial analysis capabilities researchers can now access through natural language instead of code.14

On the infrastructure front, in January Nvidia and Eli Lilly launched the first-of-its-kind AI co-innovation lab, committing up to $1 billion in talent, infrastructure, and compute over the next five years to build next-generation foundation models for biology and chemistry designed to accelerate drug discovery and production.15 The lab runs on Nvidia's BioNeMo platform and expands on LillyPod, Lilly's AI supercomputer, powered by more than 1,000 Nvidia Blackwell Ultra GPUs and described by Lilly as the most powerful AI supercomputer owned and operated by a pharmaceutical company.16 With LillyPod, Lilly scientists can train AI models on millions of experiments to identify and optimize potential therapies.17

Despite entering the space from different angles, the world's largest technology companies are focusing on life sciences as a domain of increasing strategic importance. AWS is building an orchestration and cloud infrastructure layer that pairs third-party biology models with integrated laboratory partners. OpenAI is signing enterprise-wide deployment contracts with major pharmaceutical companies and deploying purpose-built models for scientific research. Anthropic is acquiring biology talent and building distribution with scientific tool integrations. Nvidia is providing accelerated computing infrastructure to power AI for biological innovation and drug discovery.

In our view, the pace and scale of this investment signal that the platforms, computing power, and specialized models needed to navigate biological complexity are coalescing in a way that could transform health care. In partnership with pharma and biotech, these companies are positioning for what could become one of the largest value-creation opportunities associated with the convergence between AI and biology.