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FSU computational scientist helps advance targeted drug-delivery systems using coding, modeling
A Florida State University computational scientist is paving the way for future medical breakthroughs by developing mathematical models and simulations to
The AI coding boom is creating workplace paralysis
New AI tools are released near-constantly. Some developers are invigorated, while others feel overwhelmed just trying to keep up.
Acer and ASUS resume PC shipments in Germany after Nokia HEVC patent dispute
Acer and ASUS are shipping affected notebooks and desktop PCs in Germany again, following months of restrictions linked to a Nokia video coding patent dispute.
Read this before you vibe-code another app
Your dream vibe-coded app might be a security nightmare.
Howie Mandel: OCD like mine isn't a joke. It's paralyzing.
OCD became shorthand for being neat, organized or particular. Obsessive-compulsive disorder isn't about color-coding your closet. It's about control.
Forget prompts: 'Loop engineering' is all the rage now
Claude Code creator Boris Cherny says he doesn't "write the prompt anymore." Here's how loop engineering is changing coding.
Anthropic Is Bringing Together AI Design and Coding in Claude
New updates mean you should be able to go back and forth between coding and designing without interruptions.
SpaceX confirms it is buying AI coding startup Cursor for $60 billion
Elon Musk's rocket company announced on Tuesday that it had exercised its option to buy AI coding startup Cursor for $60 billion.
Janelia’s Two Big Bets: Decoding the Brain and Reinventing How Science is Done
HHMI’s Janelia Research Campus is launching a decade-long scientific effort to pursue two coequal goals: understanding how the brain generates complex behavior, and developing a new mode of scientific discovery in which biologists and AI work together as partners in discovery.
The quiet, galactic ambitions of Cursor CEO Michael Truell
How the hottest AI coding company navigated its situationship with Anthropic and hitched its fate to Elon Musk's chaotic rocket.
Science of love: decoding signals
Columnist Medha Shah argues for communication and compromise during mixed signals and assumptions in relationships.
Is Vibe Coding Already Dead? Even Karpathy Is Moving On
Andrej Karpathy declared vibe coding passe in February and joined Anthropic in May. Here is what agentic engineering changes for founders this quarter.
Health plans say AI is pushing healthcare costs higher
Nearly 70% of surveyed health plans said providers’ use of AI documentation and coding tools was a top three trend inflating commercial healthcare costs next year, according to a new report from PwC.
Decoding AI: Oklahoma Gov. Kevin Stitt on regulating AI in political ads: ‘We want to make sure voters aren’t confused’
OpenAI plans ChatGPT 'superapp' overhaul ahead of listing, FT reports
OpenAI is planning its biggest ChatGPT overhaul yet, aiming to turn it into a "superapp" with coding tools and AI agents to boost revenue ahead of a planned share listing, the Financial Times reported on Sunday.
The beginner's guide to vibe coding
Everyone from kids to grandmas is vibe coding. Here's an easy guide on how to start.
Decoding the Complex Science of Obesity
GLP-1. GIP. Amylin. Incretins. Peptides. NuSH. It’s not hard to see why the language surrounding modern obesity research sometimes feels like an alphabet soup of scientific terms. But behind each is a growing understanding of how the body regulates hunger, metabolism, energy use, and weight. It’s shaping what we know about how those systems might contribute to obesity.
Google's new Gemma 4 open AI model is sized for your laptop
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
‘Algorithms are thoughts’: How live coding is rewriting the rules of electronic music
It was a Tuesday at Nightclub 101 in the East Village, and the floor was moving. Not shuffling — but moving with vigor. On stage, Jake Sondy wasn't singing or
Decoding AI: How the political ad campaign world is being shaped by artificial intelligence
Non-coders embrace vibe coding to solve daily problems
Vibe coders aren't using AI to take over the world. They're just normal people trying to solve daily problems that annoy them.
I vibe coded a tool that hit $50,000 in monthly revenue in 6 weeks
Vitalii Dodonov and his cofounder, John, spent 14 days locked in a flat, vibe coding an AI tool called Stanley for their business, Stan.
Over 100 students showcase coding projects at Springfield Science Showcase
Springfield Public Schools recently hosted its annual Computer Science Showcase, celebrating student creativity, innovation and their work in the field.
Coding agents in the social sciences
Results from a survey of 1,260 social scientists about AI and coding agent use.
Can AI Write Your Code?
What a recent study on ChatGPT, Python, R, and Stata tells us about AI-assisted coding for causal inference
She learned AI coding at 73 — and to not fear pressing 'enter'
Carol Merlo wanted to build her own website without Weebly or Wix. She asked her son, Kevin Masterson, to help.
Linux 7.1-rc5 Released With Fixes Ramping Up From AI Coding Agents
In the road to releasing Linux 7.1 in June, out today is Linux 7.1-rc5 that continues coming on heavy with fixes.
Inside startups, Claude has already won the AI coding wars.
In a survey of more than two dozen startup founders and VCs, we found a growing consensus that Claude Code has become the dominant AI coding tool.
Did a bot deny your claim? NC lawmakers want to regulate AI in health insurance
North Carolina lawmakers want to limit how artificial intelligence is used in health insurance decisions, citing fears over “upcoding” and algorithm-driven denials.
Google is launching an Android version of its AI Studio vibe coding tool.
The app, which you can pre-register for on Google Play, will let you use AI and prompts to starting building other apps. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/05/Screenshot-2026-05-19-at-5.10.01PM.png?quality=90&strip=all]
The 13 biggest announcements at Google I/O 2026
Gemini, AI in Search, vibe coding, and more at I/O.
With Gemini 3.5 Flash, Google bets its next AI wave on agents, not chatbots
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex tasks and building software from scratch.
Bird and Human Faces Share the Same Genetic Blueprint. Why Do They Look So Different?
Changes in non-coding DNA sequences make all the difference.
Decoding chirality at the nanoscale with momentum-space polarimetry
Light: Science & Applications - Schematic illustration of Fourier-domain Mueller matrix polarimetry probing light-matter interactions in gammadion nanostructures, and enabling extraction of...
Marc Benioff said Salesforce will spend $300M on Anthropic tokens
Salesforce CEO Marc Benioff said he's able to work faster with AI agents and that the company is working on tech to make coding easier at Slack.
AI transformed Anthropic's workplace, coding 90% of projects, CFO says
Krishna Rao of Anthropic discusses AI's impact on automating white-collar tasks, increasing productivity, and shifting employee roles to management.
How to vibe code in science: early adopters share their tips
Nature - Using AI coding tools can speed up your work, but there are plenty of pitfalls.
I built a working Android app with no coding experience using Google's free tools
The free version of Google's Antigravity IDE is all you need to start making your own Android apps — here's how.
Golf simulator helps Henrico students learn math, science, and coding
Fairfield Middle School uses a golf simulator to teach math, science, coding, and robotics through hands-on STEAM lessons.
Airbnb's CEO says AI writes 60% of the company's code
CEO Brian Chesky added that managers are also getting their hands dirty with coding or using Claude Code.
OpenAI Debuts A Codex Plugin For Chrome
The new feature could turn Codex into more than a coding aid.
Scientists accidentally discover DNA that breaks the rules of life
A routine experiment with a new single-cell DNA sequencing method turned into a surprising scientific twist when researchers stumbled upon a bizarre genetic code in a microscopic pond organism. Instead of following the near-universal “rules” of life, this newly identified protist rewrites how genes signal their end. This unexpected discovery challenges long-held assumptions about how genetic translation works and hints that nature may be far more flexible—and mysterious—than scientists realized.
Google's Gemma 4 open AI models use "speculative decoding" to get up to 3x faster
Up to 3x the speed with no loss of quality—is it too good to be true?
U.S. Embassy Supports Tunisian Business Delegation at 2026 SelectUSA Investment Summit - U.S. Embassy in Tunisia
U.S. EMBASSY SUPPORTS TUNISIAN BUSINESS DELEGATION AT 2026 SELECTUSA INVESTMENT SUMMIT The SelectUSA Investment Summit is the premier U.S. investment event, connecting thousands of investors, companies, economic development organizations, and industry experts to make deals happen. Media Note TUNIS, May 5, 2026 – U.S. Embassy Tunis is pleased to support a delegation of 11 Tunisian companies traveling to the United States to participate in the 2026 SelectUSA Investment Summit at National Harbor, Maryland, May 3-6, 2026. The Summit is an opportunity for these dynamic entrepreneurs to establish new connections and explore business and investment opportunities in the United States. This year, three Tunisian women entrepreneurs and members of the delegation representing Spiraw and Sotetel were accepted into the Select Global Women in Tech year-long mentoring program which will kick off at the summit. Since 2022, more than 50 Tunisian entrepreneurs in fields ranging from e-gaming, robotics, software engineering, coding, online fashion, and green tech have participated in SelectUSA Investment Summits, where they have taken their businesses to the next level. Hosted by the U.S. Department of Commerce, the SelectUSA Investment Summit is a one-stop shop for companies considering expanding to the United States and provides economic development organizations (EDOs) with the opportunity to meet directly with international companies to facilitate investment deals. Since inception, the SelectUSA Investment Summit has attracted tens of thousands of companies and economic development representatives, generating over $250 billion in new investment projects that support more than 125,000 jobs across the United States and its territories. The previous SelectUSA Investment Summit saw record-breaking numbers with more than 5,500 participants, including EDOs from 54 U.S. states and territories and over 2,700 business investors from 100+ countries, including Tunisia. The following Tunisian businesses will take part in this year’s SelectUSA delegation: AquaDeep – Revolutionizes aquaculture with AI-powered monitoring solutions, including a real-time larva counting system and a SaaS platform for environmental monitoring. The company is expanding operations across Tunisia, Europe, Africa, and the United States. Bouraoui Group – Specializes in event venues, hospitality experiences, innovative real estate development, and technology driven customer solutions. The business develops experience- focused and tech enabled lifestyle destinations that combine entertainment, culture, retail, and smart services, and is seeking international partners to co-develop hospitality, PropTech, smart retail, and experiential digital projects. Digital Cook – Builds HR and recruitment software solutions, including HRMS, ATS, and custom tools that streamline hiring, employee management, and talent development. It provides custom software, system integration, and scalable HR platforms for SMEs, large enterprises, and recruitment agencies seeking efficient, user-friendly ways to manage their workforce and improve recruitment. El Kanaouet – Provides high-quality and low-cost hydraulic infrastructure for the supply and distribution of drinking water. The company manufactures prestressed concrete structures based on current technological developments in the field and trends in integrated and digitalized management. El Kanaouet aims to enter the U.S. market with its production of centrifugal prestressed concrete pipes and other technical products and services. Fluoink Nanotechnologies – A deep‑tech startup developing next‑generation antimicrobial additives for paints, coatings, and industrial materials, enabling everyday surfaces to act as long‑lasting barriers against harmful bacteria and pathogens without changing their appearance or performance. Mare Custos – A subsea robotics company specializing in ROV-based underwater inspection services for offshore energy, ports, and marine infrastructure, using high-precision imaging, PAUT, and NDT to inspect structures in challenging conditions. SmartMed SA – A fast-growing digital health company operating in Tunisia, Algeria, and Morocco, offering an integrated ecosystem that helps patients book appointments (MedPro), enables clinics to digitize workflows and EMRs (MedLink), and supports targeted digital marketing for healthcare and pharma (MedAds). With millions of appointments and users, SmartMed has become a leading e-health platform in North Africa. Sototel – Builds telecommunications networks and services, including fixed, radio, and mobile networks. Sototel focuses on technological innovation and continuous improvement, providing high-value-added digital solutions. SOTUPRIN HGE – Specializes in manufacturing household electrical appliances under the brand HGE and OEM. Expanded from the local market to North Africa, Central Africa, the Middle East, and Europe. Spiraw by Food4Future – Designs and manufactures smart, AI-powered cultivation systems allowing individuals and businesses to grow fresh, highly nutritious food – starting with spirulina – directly at the point of consumption. Combining patented hardware, controlled-environment agriculture, and a connected app with an AI assistant, Spiraw aims to decentralize food production and create a new category at the intersection of agri-tech, consumer health, and smart home ecosystems. WaterSec (Istidama) – A climate-tech startup that uses IoT, AI, and smart sensors to help high consumption facilities (such as industries, hotels, and commercial buildings) monitor water use in real time, detect leaks, and optimize consumption. The company’s digital platform turns raw water data into alerts and actionable insights, making water management more transparent, proactive, and sustainable. Learn more about the SelectUSA Investment Summit at https://www.selectusasummit.us/. Follow live developments from the summit on X at https://x.com/SelectUSA.
DC small business week continues with solution expo
Small businesses make up XX in D.C.There are roughly82,666 small businesses in DC, accoding to the U.S. Small Business Administration's Office of Advocacy.Be
After pushback, Amazon rolls out Claude Code, Codex to all employees
Some Amazon staff had complained about a lack of access to top AI coding tools, arguing the company risked falling behind in developer productivity.
New director of Health Information Management joins Trinity
Joe Devlin has joined Trinity Health as director of Health Information Management (HIM), bringing more than a decade of experience to his role, Trinity Health announced. As HIM director, Devlin is responsible for managing the Health Information Management department, including facility and provider coding, clinical documentation and record storage, as well as ensuring compliance with […]
OpenAI adds AI pets to its Codex coding tool
The animated companion tracks your work in the background.
Decoding boys, girls playoff scenarios
As usual, there is plenty of confusion over how the playoffs work.
Start-ups challenge Apple over curbs on AI ‘vibe coding’ apps
iPhone maker warns about security risks as new software floods its review process
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
The best AI dictation apps, tested and ranked
AI-powered dictation apps are useful for replying to emails, taking notes, and even coding through your voice
Inside China's top school training the next AI engineers
Multiple theses, coding marathons, joining research labs — this is life inside China's top AI training ground.
Collaborative Coding, Better Scaling, Health Tracking: HAI Awards $2.17M to Innovative Research
Seed grants will fund 29 research teams pursuing novel research ideas across disciplines.
OpenAI Really Wants Codex to Shut Up About Goblins
“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant,” reads OpenAI's coding agent instructions.
Vibe coding platform Lovable now available for iPhone
Lovable launched an iOS app that creates web apps based on natural language prompts and even voice-based interactions. Here are the details.
Lovable launches its vibe coding app on iOS and Android
The app allows developers to vibe code web apps and websites on the go.
"No Vibe Coding" - ZSNES Has Been "Re-Written From Scratch" And Now Enhances Your Favourite SNES Games
Showcases the 'Super Enhancement Engine'
I built the same website on Lovable and Wix AI. One was way harder.
Lovable, as a pure vibe-coding site, quickly delivered a clean, simple product. Wix Harmony, on the other hand, took more effort and brainpower.
Inside the AI coding startup Elon Musk is betting $60 billion on
The 4-year-old startup just propelled SpaceX in the AI coding race.
SpaceX strikes $60 billion deal for right to buy coding startup Cursor
SpaceX announced a partnership with coding startup Cursor that will give Elon Musk's a major foothold in the AI coding race.
Volcanoes Send Tiny Warning Signals Before Eruptions. These Scientists Are Decoding Them
The team behind "Jerk," a novel tool that predicted eruptions with 92% accuracy for a French volcano, discusses its work and implications.
Computer science was once a 'golden ticket' — now it's seeing the biggest enrollment drop of any major in 6 years
Nobel Prize–winning economist Simon Johnson said AI has "substantially wiped out" coding as a reliable source of opportunity.
Computer science was once a 'golden ticket' — now it's seeing the biggest enrollment drop of any major in 6 years. What students are choosing instead
Nobel Prize–winning economist Simon Johnson said AI has "substantially wiped out" coding as a reliable source of opportunity.
El Paso Science Festival returns to Downtown
EL PASO, Texas (KVIA) - Saturday and Sunday, several organizations including La Nube will host the El Paso Science Fest at the El Paso Convention Center, from 10:30 a.m. until 5:00 p.m. According to organizers, attendees can expect over 100 interactive exhibits for visitors to get hands-on experience with launching a spaceship, coding robots, engineering,
OpenAI takes aim at Anthropic with beefed-up Codex that gives it more power over your desktop
OpenAI's agentic coding tool has gotten a major makeover, with a variety of new powers and abilities.
OpenAI’s Codex Mac app adds three key features that go beyond agentic coding
OpenAI is releasing a new version of its Codex desktop app today. The latest Codex update adds three key features...
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Apple Pushes Siri Programmers to Adopt AI Coding Tools
Apple plans to send “a significant chunk” of its Siri programmers to a weekslong bootcamp to learn to code using artificial intelligence, The Information
Siri Engineers Sent to AI Coding Bootcamp as Apple Prepares to Deliver Siri Overhaul
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Your Thymus and Your Healthspan
Our thymus gland plays a central role in the development or our immune system, specifically for supporting T cell development (how these cells got their name, maturation and differentiation in the thymus) and discriminating between self and foreign, non-self antigen proteins with production of dendritic cells. As we age, our thymus gland shrinks—the process known as involution—with progressive change from spongy to fatty tissue, with loss of functionality. But this process, with respect to timeline and extent, markedly varies from one person to the next. And to make things even more complicated, our thymus gland anatomy and precise location in the chest also is highly variable. So the famous Frank Netter diagrams from the 1960s (such as at left below) don’t capture the remarkable heterogeneity that a random set of 12 chest CT scans (below at right). What I consider as 2 landmark papers in Nature this week (here and here) used AI to quantify health of the thymus in 2 large cohorts, and then correlate the metric to a broad array of health outcomes. In this edition of Ground Truths, I’m going to cover three questions: (1) How was thymus health determined by AI?; (2) How is thymus health linked to key clinical outcomes? and (3) Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? Subscribe 1. How was thymus health determined by AI? This was accomplished by extensive work developing and validating an AI pipeline for 2 stages, the first for localization and segmentation of the thymus bed, and the second to quantify a digital marker, termed the thymic health score. There’s a lot to this algorithmic development, so I won’t go into all the details, but just provide a rudimentary outline of what was done. The 1st stage used supervised learning with 2 radiologists reviewing 2,461 chest CT scans. That work trained a 3D U-Net model to automatically identify the thymic bed’s 3D cropped region using center of mass coordinates, which reached 99.8% accuracy. The 2nd stage used a foundation model that was pre-trained with SwAV (which stands for Swapping Assignment between multiple Views), a self-supervised model, that generated a high-dimensional thymus representation of 4,096 features. That compares to the radiology reductionist and subjective scoring of 0 to 3 where 0 means the thymus is fully degenerated and fatty, and 3 is considered dense, intact glandular soft tissue. Notably, the self-supervised learning (SSL) performance was superior to supervised (AUC ~0.75 vs 0.55, respectively) reflecting the shallowness of the 0-3 classifier vs SSL’s holistic, self-taught AI. The thymic health score ranged from 0 to 100, with the highest number indexed to fully preserved thymic health. The algorithmic work extended to explainability with both Shapely value distribution, meaning the model was holistic not relying on any “magic” pixel, and occlusion sensitivity, demonstrating the model’s performance was not affected by ribs, sternum, lung tissue, but rather focused on the thymic bed directly. Below are a few saliency maps from the occlusion sensitivity that indicate the thymic bed focus, not affected by neighboring structures, using the jet color scale. Now the AI was ready for processing ~25,000 CT scans, each over 30 MB files, from the 2 large participant cohorts to provide a thymic health score, it did so in less than 14 hours, which is less than 2 seconds per scan! Share 2. How is thymus health linked to key clinical outcomes? The two cohorts were the National Lung Screening Trial, NLST (N=25,031) and the Framingham Heart Study, FHS (N=2,581) each with baseline demographics and long term follow up of >12 years for health outcomes. From the NSLT, you can see below that increased age and body-mass index were correlated to reduced thymic health. And, overall, men had reduced thymic health scores compared with women. There are a lot of graphs in the paper for outcomes, for both the NLST and FHS cohorts. To simplify the major outcomes, below is a composite Figure with striking reduction of all-cause mortality and for the different causes of death. The results were consistent between the 2 cohorts. For example, the cardiovascular mortality hazard ratio average was 0.57 in NLST and 0.38 in FHS (weighted to be 0.53 for the aggregate). The reduction of mortality also extended to digestive diseases and pulmonary disease (data not shown below). Lung cancer incidence was reduced by 36% for high vs low thymic health (Figure below, with a panel -incidence and b panel-mortality, adjusted for age, sex, BMI, smoking status). Notably, there was a smoker’s paradox: lower incidence and improved survival for lung cancer in smokers who had a high thymus health score. Smoking was associated with lower thymic scores whereas alcohol was not. Higher thymic health was linked to higher HDL cholesterol, lower triglycerides, lower fasting blood glucose, and lower systolic and diastolic blood pressure. Inflammation biomarkers, such as C-reactive protein and interleukin-6, were elevated in the people with lower thymic health scores. In their second paper, the same team looked at the relationship between thymic score and outcomes for 3,476 patients receiving cancer immunotherapy. The non-small cell lung cancer progression-free survival was reduced in patients with low thymic health score. A parallel relationship for survival was seen for other types of cancer including melanoma, breast, and kidney with a 44% lower risk among high thymic scores (Figure). A similar pattern was seen with different immune checkpoint inhibitors. The thymus health score outperformed programmed death ligand-1 (PD-L1)and tumor mutation burden (TMB) assay of the tumor and was an independent prognostic marker of progression-free survival. In this dataset, a direct connect with thymus score and adaptive immune function was noted with a correlation before cancer treatment for both T-cell diversity and thymus T-cell production (a metric known as T cell receptor excision circles). Thymus Removal Study There is a highly relevant citation about thymus function before moving onto ways to rejuvenate it. In 2023, a very important study of thymus removal during cardiothoracic surgery was published, with 1146 patients undergoing thymus removal vs 1146 matched controls (mean age 55 years). The adverse outcomes for thymus removal were striking, with a 2.9 higher risk of all-cause mortality and doubling of cancer incidence, 1.5 fold increase in cancer mortality, and 1.5-fold increase in autoimmune diseases. The immune function showed marked compromise after thymus removal, as reflected by CD4+ and CD8+ T cells (Figure below) Share Ground Truths 3. Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? In recent months we’ve learned a lot about the process of thymus involution and the pathways by which this may be modulated. Thymus involution is primarily due to loss to thymus epithelial cells (TECs) and there are 2 subtypes with different functions: the cortical, responsible for positive selection of T cells, and the medullary, for negative selection. When adipose tissue infiltrates the thymus, thymic adipocytes are pro-inflammatory, knocking out T-cell output. Likewise, systemic inflammation, or “inflammaging,” from smoking, obesity, and chronic stress promote thymic adipocytes. Now, from preclinical studies, we know about key pathways that account for these processes. Historically, back in 2014, FOXN1 was recognized as a single master transcription factor essential for TEC function, with studies in mice with forced FOXN1 upregulation leading to thymus regeneration. That laid the foundation for potential regrowth of quiescent thymus cells. It took awhile to find pathways to accomplish this goal and to even refute its role as the master regulator. The Liver-Thymus Axis Feng Zhang and his team recently showed that injection of an mRNA vaccine to the liver encoding DLL1, IL-7 and FLT3-L in combination, factors known to support thymopoiesis (Figure), successfully enhanced immune function in aged mice. However, the effect was transient. The FGF21 Story Two reports in 2025 addressed the thymus gland’s production of FGF21, a growth factor (fibroblast growth factor 21) and its control of thymus involution. This growth factor is also produced by the liver, but it doesn’t have impact on the thymus in aged rodent models. In contrast, The liver’s hepatocyte growth factor (HGF) has been shown to reverse senescent TEC structural changes. Growth hormone stimulates production of insulin growth factor-1 (IGF-1) in the liver and the thymus. Two small studies in human participants (TRIIM, for Thymus Regeneration, Immunorestoration, and Insulin Mitigation) of 6 and 50 people, respectively, treated with combined human growth hormone, metformin and DHEA, suggested the potential of slowing epigenetic aging and improving thymus mass and function. But the combination of drugs, small sample, and lack of controls make conclusions murky. Increased thymus FGF21 led to increased CD8 T cells in old mice and extended healthspan and improved physical performance. Building on the previous FOXN1 data, ablation of β-klotho, the obligatory co-receptor for FOXN1, accelerated thymic aging. The benefit to FGF21 was confirmed in a companion paper using an FGF21 knock-in mouse model showing thymus enlargement and increased TECs throughout the lifespan. (schematic Figure below). The accompanying editorial for these 2 papers speculated: “The proposed link between age-associated thymus involution and organismal aging is intriguing, and suggests we might seek to achieve systemic rejuvenation by counteracting thymic involution.” Other Factors Lessons from the Axolotl (Mexican Salamander) In an elegant set of experiments of the axolotl (Figure), known for its complete thymus regeneration after total surgical removal, mediators were identified. Surprisingly FOXN1 was dispensable. But midkine, a growth factor, appeared to be the driver, the initiator of thymus cell growth, survival, and repair. Other components that contributed were Postn+ (periostin-expressing mesenchymal niches) and Ccl19, a chemokine protein from the bloodstream. RANK and RANKL RANK (receptor activator of nuclear factor κB its ligand (RANKL) have been considered key regulators of medullary TECs. In a study of both aged mice and human thymus cell cultures, their key role was confirmed, with multiple benefits of resorting TEC function, recruitment of progenitor cells, and T cell development. Subscribe Summing Up This body of work strongly supports the health of the thymus gland as a critical regulator of human healthspan, not just a correlate or link. The new landmark studies are reinforced by the regenerative biology experimental models that have shown, via an array of mediators, that healthspan of aged mice is at least in part dependent on thymus gland function and its critical role for maintaining adaptive immunity. It sure seems that we’d be better off having an immune reservoir of naive T cells instead of a profile in older adults of exhausted, low quality, memory T cells, with a senescent phenotype. It is striking that we ignored the importance of the thymus gland for many decades. A wake-up call was the results of the thymectomy matched control study reviewed here, with the opposite of high thymic health score improved health outcomes. The convergence of AI and healthspan here is notable. The exceptional and laborious work for developing and validating (no less explaining) the AI to quantify thymus health set the foundation for probing the connect the major health outcomes in two cohorts with extensive follow-up. We’ve never had a way to meaningfully quantify the thymus gland before, so this represents important leverage of supervised, self-supervised, and transformer models. The study wouldn’t have been possible without AI. And it begs the question as to whether there are ways we can maintain our thymus at a high health score. But it’s not so simple to rejuvenate our thymus. There are multiple risks including the induction of autoimmunity, increasing the risk of cancer, and inducing a pro-inflammatory state. For example, factors that increase TEC proliferation could compromise the medulllary negative selection process and leak out auto-reactive (self-attacking) T cells. Thymic cells could be induced to proliferate, but we know, for example, that growth hormone and IGF-1 are associated with an increase risk of cancer. If thymus rejuvenation doesn’t clear out the accumulated senescent cells in older adults, then inflammation within the gland could block the production of TECs. Keeping these risks in mind, we now have identified many ways to keep our thymus healthy as we age that undoubtedly will be tested in clinical trials going forward. Ultimately, the benefit-to-risk tradeoffs will be defined. In the meantime, we have desperately needed an immunome. As I’ve stressed in multiple prior Ground Truths, we have no test in the clinic to assess a patient’s immune status! It was very encouraging for me to get an email from Hugo Aerts, the senior author of the landmark papers in the days after they were published: “I also wanted to say that your Substack on “Why We Need an Immunome” was inspiring for this work. We found it a very compelling perspective and greatly enjoyed reading it.” Just having an assessment of a person’s immune status via a chest CT scan, with millions of these performed per year, might help in guiding the right immunotherapy for cancer (e.g. more intensive, combinations for those with low thymic health scores) and help define people who are increased risk for age-related diseases of cancer, cardiovascular, and neurodegenerative. The main theme of Super Agers is that we now have many layers of data (genetics, proteins, biomarkers, organ clocks that can be integrated via multimodal AI) for us to define a person’s specific risk decades before one of these age-related diseases leads to symptoms, enabling prevention. From the new studies this week, we can add thymus health score as yet another way to understand a person’s risk, a window into their adaptive immune system and healthspan. And perhaps someday we will be able to safely rejuvenate the thymus, or maintain its health through one’s life, and use the thymus health score to monitor. NB: I wrote this post (No A.I.) A Quick Poll Loading... ********************************************************************* Thanks to Ground Truths subscribers (now > 200,000) from every US state and 212 countries. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. Please join! If you found this interesting PLEASE share it! Share Ground Truths Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don’t hesitate to post comments and give me feedback. Let me know topics that you would like to see covered. Leave a comment Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. It enabled us to accept and support 47 summer interns in 2025! We aim to accept even more of the several thousand who will apply for summer 2026.
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