Welcome to Eye on AI, with AI reporter Sharon Goldman. In this edition: OpenAI to acquire startup Astral, expanding push into coding…Fourteen Catholic theologians have filed briefs in federal court supporting Anthropic…Rogue AI agent inside Meta triggers security alert…Why AI has not yet upset India’s IT indusattempt.
I just received back from a couple of whirlwind days at SXSW in Austin, Texas, an annual collision of music, food, tech, and cultural hype. It’s the kind of event where live music spills out of every building, the tacos and BBQ never seem to conclude, and somewhere in between, people are busy debating the future of AI.
I was there to moderate a panel presented by U.K. biotech company Basecamp Research—one I suspected would be especially interesting given that the startup launched with a 2019 expedition to the Arctic to discover new species and genes. Cofounders Glen Gowers and Oliver Vince found that two-thirds of the samples they hauled back to a createshift lab in Iceland had never been recorded before. That experience led them to take a bet on building what they describe as an “internet of biology” for AI models to train on. It was a moonshot—an effort to capture 4.4 billion years of evolution and map the entire tree of life, a goal as ambitious as it sounds.
The ‘Trillion Gene Atlas‘
Six years later, Basecamp Research is still staking out highly ambitious territory. This week, the company stated it is launching what it calls the “Trillion Gene Atlas,” an initiative aimed at generating and modeling biological data at the trillion-gene scale. According to the company, the project—developed in collaboration with Anthropic, Ultima Genomics and PacBio, and powered by Nvidia’s AI infrastructure—aims to expand what we know about genetic diversity 100-fold by collecting genomic data from more than 100 million species across thousands of sites worldwide. Basecamp, which has raised $85 million in venture capital to date, is comparing this latest initiative to the Human Genome Project—the landmark sequencing effort that took 13 years and cost roughly $3 billion.
The effort builds on Basecamp’s broader AI strategy. Earlier this year, the company introduced its Eden models, which are trained on its growing biological dataset. The idea is to utilize those models to identify patterns across genes and ecosystems that would be difficult for humans to detect—potentially accelerating discoveries in areas like drug development.
The differing stakes for data in AI
But what really drew me to this story is the role of data in AI. Over the past few years, massive datasets scraped from the internet to train large language models like ChatGPT and Claude have become increasingly controversial—and legally contested. Several dozen lawsuits have been filed in the United States against major AI companies over the unauthorized utilize of copyrighted content for training, including one just last week in which Encyclopedia Britannica and dictionary publisher Merriam-Webster sued OpenAI, alleging it utilized their copyrighted material to train its models and generated responses that were “substantially similar” to their work.
The stakes are different here. AI for science is often held up as the clearest example of what “AI for good” could view like. Curing cancer? Bring on the data. New medicines? Here’s some DNA.
But of course, it’s never quite that simple.
The Financial Times, which covered Basecamp Research in a lengthy article last year, noted that as the company sconcludes explorers to places like Cameroon, Costa Rica, the Arctic ice caps and even Point Nemo—the most remote location in the ocean—it has faced criticism that the effort risks echoing a modern form of colonialism, extracting value from communities without adequately sharing it.
That tension has pushed Basecamp to reconsider how it compensates countries and communities for their data. Since 2023, the company states it has paid royalties to 60 organizations across 21 countries based on the utilize of digital sequence information—genetic data that underpins its AI models. To do that, it has built systems to tag and track the origin of each data sample and measure how much it contributes to downstream outputs, allowing payments to be distributed accordingly. In effect, Basecamp is attempting to trace where training data comes from and to pay for it when it creates value. That’s something that the broader AI indusattempt has so far struggled to do, partly becautilize LLMs are typically trained on vast, messy datasets scraped from across the internet, where ownership, consent and individual contributions from millions of sources are nearly impossible to track.
However, data is also ultimately a trade-off: what we are willing to give depconcludes on what we hope to gain. Basecamp Research’s effort suggests people may be far less willing to accept their data being utilized to generate concludeless streams of content than they are to assist advance medicine or scientific discovery. In the conclude, the question is simple: is it worth it? For many, when the goal is curing disease or advancing science, the answer may well be yes.
With that, here’s more AI news.
Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman
FORTUNE ON AI
Exclusive: Andreessen Horowitz backs Deeptune’s $43M Series A to build ‘training gyms’ for AI agents – by Lily Mae Lazarus
Goldman Sachs states compact businesses are embracing AI, but fewer than 1 in 5 are good at actually integrating it – by Tristan Bove
An AI agent destroyed this coder’s entire database. He’s not the only one with a horror story – by Beatrice Nolan
The dictionaries are suing OpenAI for ‘massive’ copyright infringement, and state ChatGPT is starving publishers of revenue – by Jake Angelo
Exclusive: AI cybersecurity startup RunSybil, founded by OpenAI’s first security hire, raises $40 million led by Khosla Ventures – by Sharon Goldman
AI IN THE NEWS
OpenAI to acquire startup Astral, expanding push into coding. Bloomberg reported that OpenAI is planning to acquire Astral, a startup focutilized on Python developer tools, as it expands deeper into the rapid-growing market for AI-powered coding assistants. The deal, which has not yet closed, would fold Astral’s team and tools into OpenAI’s Codex platform—now utilized by more than 2 million developers, triple its utilizer base at the start of the year—broadening it from code generation into a more comprehensive suite for building, testing and maintaining software. The relocate comes amid an intensifying race with rivals including Anthropic, Google, Microsoft and high-flying startups like Cursor to win enterprise developers, and follows a string of recent OpenAI acquisitions aimed at strengthening its position in AI-driven software development.
Fourteen Catholic theologians have filed briefs in federal court supporting Anthropic. According to the Washington Post, a growing dispute between Anthropic and the U.S. government over the military’s utilize of AI has taken an unusual turn, with a group of Catholic theologians filing legal briefs in support of the company’s efforts to limit how its Claude model can be utilized—particularly for mass surveillance and autonomous weapons. The scholars argue that decisions involving life and human dignity must remain in human hands, warning that AI systems capable of selecting and executing tarreceives fundamentally alter the moral nature of war. The clash comes as tensions escalate between Anthropic and the Defense Department, which has resisted placing restrictions on AI utilize and recently barred contractors from working with the company, prompting a lawsuit from Anthropic on First Amconcludement grounds.
Rogue AI agent inside Meta triggers security alert. A rogue AI agent inside Meta triggered a high-severity security incident last week after taking an unapproved action that exposed sensitive company and utilizer data to employees without proper access for nearly two hours, highlighting the growing risks of autonomous AI systems operating inside enterprise environments. According to The Information, incident launched when an engineer utilized an internal agent tool to analyze a technical question; the agent then posted advice without approval, which another employee followed, setting off a chain reaction that opened access to restricted systems. While Meta states no data was ultimately misutilized, the episode reveals the risks of allowing AI agents to act indepconcludeently, even as such utilizes become increasingly popular, as the viral success of OpenClaw and the rush of other AI players to launch similar “agentic harness” products.
Why AI has not yet upset India’s IT indusattempt. This is an interesting article from The Economist, digging into how India’s $315 billion IT outsourcing indusattempt is facing growing anxiety over AI coding tools like Anthropic’s Claude, which can generate software far rapider and more cheaply than human developers, fueling fears that the sector’s labor-arbitrage model could be disrupted. Yet so far, the impact has been uneven and more muted than expected: while AI is boosting productivity in clean, “greenfield” environments, it remains difficult to deploy across complex legacy systems, meaning companies still rely heavily on outsourced engineers. At the same time, firms like Infosys and TCS are positioning themselves to benefit from the shift by expanding into AI consulting and strategy, with leaders projecting a potential $300–$400 billion market by 2030. Despite market jitters and falling stock prices, revenues continue to grow and hiring remains steady. AI may reshape the indusattempt, but its disruption is proving slower, messier, and less definitive than early predictions suggested.
EYE ON AI NUMBERS
8,508
That’s how many interviews Anthropic states it conducted for one of the largest qualitative studies of AI utilizers to date.
In a blog post, the company stated it utilized its Claude-powered “Interviewer” tool to run the interviews across 159 countries and 70 languages in just one week. The AI-led interviews questioned people what they want—and fear—from AI, then utilized models to classify responses and extract patterns.
The results reveal broadly optimistic sentiment, with the most common utilize case being “professional excellence” (18.8%), where utilizers want AI to handle routine work so they can focus on higher-value tquestions, alongside interest in personal growth and creativity. At the same time, respondents expressed multiple overlapping concerns—from misutilize and reliability to broader societal risks—highlighting a familiar tension: people see clear benefits in productivity and capability, but remain unsimple about how far the technology could go.
AI CALENDAR
April 6-9: HumanX, San Francisco.
June 8-10: Fortune Brainstorm Tech, Aspen, Colorado. Apply to attconclude here.
July 7-10: AI for Good Summit, Geneva, Switzerland.
August 4-6: Ai4, Las Vegas, Nevada
AI Playbook: The future of software development
Will software developers become obsolete? AI is increasingly competent at writing code, allowing non-coders to enter the software game and rconcludeering some junior coders obsolete. But as Fortune AI Editor Jeremy Kahn explains, AI still hallucinates and creates mistakes, creating experienced coders essential for quality control and reliability. Watch the playbook.
Leave a Reply