Tech
OpenAI Fires an Employee for Prediction Market Insider Trading
OpenAI has fired an employee following an investigation into their activity on prediction market platforms including Polymarket, WIRED has learned.
OpenAI CEO of Applications, Fidji Simo, disclosed the termination in an internal message to employees earlier this year. The employee, she said, “used confidential OpenAI information in connection with external prediction markets (e.g. Polymarket).”
“Our policies prohibit employees from using confidential OpenAI information for personal gain, including in prediction markets,” says spokesperson Kayla Wood. OpenAI has not revealed the name of the employee or the specifics of their trades.
Evidence suggests that this was not an isolated event. Polymarket runs on the Polygon blockchain network, so its trading ledger is pseudonymous but traceable. According to an analysis by the financial data platform Unusual Whales, there have been clusters of activities, which the service flagged as suspicious, around OpenAI-themed events since March 2023.
Unusual Whales flagged 77 positions in 60 wallet addresses as suspected insider trades, looking at the age of the account, trading history, and significance of investment, among other factors. Suspicious trades hinged on the release dates of products like Sora, GPT-5, and the ChatGPT Browser, as well as CEO Sam Altman’s employment status. In November 2023, two days after Altman was dramatically ousted from the company, a new wallet placed a significant bet that he would return, netting over $16,000 in profits. The account never placed another bet.
The behavior fits into patterns typical of insider trades. “The tell is the clustering. In the 40 hours before OpenAI launched its browser, 13 brand-new wallets with zero trading history appeared on the site for the first time to collectively bet $309,486 on the right outcome,” says Unusual Whales CEO Matt Saincome. “When you see that many fresh wallets making the same bet at the same time, it raises a real question about whether the secret is getting out.”
Prediction markets have exploded in popularity in recent years. These platforms allow customers to buy “event contracts” on the outcomes of future events ranging from the winner of the Super Bowl to the daily price of Bitcoin to whether the United States will go to war with Iran. There are a wide array of markets tied to events in the technology sector; you can trade on what Nvidia’s quarterly earnings will be, or when Tesla will launch a new car, or which AI companies will IPO in 2026.
As the platforms have grown, so have concerns that they allow traders to profit from insider knowledge. “This prediction market world makes the Wild West look tame in comparison,” says Jeff Edelstein, a senior analyst at the betting news site InGame. “If there’s a market that exists where the answer is known, somebody’s going to trade on it.”
Earlier this week, Kalshi announced that it had reported several suspicious insider trading cases to the Commodity Futures Trading Commission, the government agency overseeing these markets. In one instance, an employee of the popular YouTuber Mr. Beast was suspended for two years and fined $20,000 for making trades related to the streamer’s activities; in another, the far-right political candidate Kyle Langford was banned from the platform for making a trade on his own campaign. The company also announced a number of initiatives to prevent insider trading and market manipulation.
While Kalshi has heavily promoted its crackdown on insider trading, Polymarket has stayed silent on the matter. The company did not return requests for comments.
In the past, major trades on technology-themed markets have sparked speculation that there are Big Tech employees profiting by using their insider knowledge to gain an edge. One notorious example is the so-called “Google whale,” a pseudonymous account on Polymarket that made over $1 million trading on Google-related events, including a market on who the most-searched person of the year would be in 2025. (It was the singer D4vd, who is best known for his connection to an ongoing murder investigation after a young fan’s remains were found in a vehicle registered to him.)
Tech
Bremont Is Sending a Watch to the Moon’s Surface
A multifaceted decahedral black ceramic bezel and sandwich-style three-piece case—a reworking of Bremont’s signature Trip-Tick construction—house a chronometer-rated automatic chronograph movement made by Sellita, with a 62-hour power reserve.
The watch will be a passenger aboard the FLIP rover, due to launch as part of Astrobotic’s Griffin Mission One (Griffin-1), expected to land at the lunar south pole at some point in the second half of this year.
It’s a one-way mission: The rover will remain permanently on the lunar surface, with the watch ticking away as it roams the landscape. FLIP’s objectives include reaching elevated positions on the lunar terrain, gathering data on lunar dust accumulation, testing dust-mitigation coatings, and surviving a two-week lunar night in hibernation (which would be a first for a US rover).
In terms of serious timekeeping data for Bremont, the mission is frankly symbolic. The watch will be positioned vertically in a specially designed housing within the FLIP’s chassis, between its front wheels. Only the watch head, weighing 107 grams, is included, glued in place using a specialist composite, its face visible to FLIP’s HD cameras. But the hibernatory periods will mean the watch (whose mechanical movement is driven in normal circumstances by the motion of the wearer’s arm) will stop running once its 62-hour power reserve runs down.
When the FLIP is on the move again, its motion should—in theory—jolt the mechanism into action once more. Despite the gravitational pull that’s a sixth of the Earth’s, the acceleration, pitches, and tilts of the rover should swing the winding rotor, if with less torque and efficiency than on Earth.
“My guess is that the watch will function from time to time, but for short periods,” Cerrato says. “We will learn along the way. But that’s what is exciting—it projects us into a thinking process that is absolutely out of the box. Just the fact of having it there is inspiring.” However, there is little doubt that Bremont will, just like other brands with any ties to the cosmos, mine its new space connection for all it is worth.
FLIP itself, which weighs just 1,058 pounds and carries a mix of commercial and government payloads, four HD cameras, and a deployable solar array, is fundamentally a technology demonstrator for Flexible Logistics and Exploration (FLEX), Astrolab’s much larger SUV-sized rover destined to support NASA’s Artemis program. The firm developed the FLIP from scratch after NASA’s equivalent vehicle for which the Griffin-1 mission was contracted, the VIPER, was put on pause in 2024. This left Astrobotic seeking a stand-in in short order. Astrolab, which signed the contract within a month of hearing about the opportunity in the fall of 2024, took the FLIP from blank sheet to finished rover in roughly a year.
Its standout feature is its hyper-deformable wheels, minutely structured from silicone, composite, and stainless steel, which create a soft, enlarged contact surface with the terrain. “It’s like if you’re off-roading in a Jeep or Land Rover where you let some air out of the tires to go softer and spread the load over a larger area,” explains Astrolab’s founder, Jaret Matthews. While the moon’s nighttime temperatures of around -200 degrees Celsius (around -328 Fahrenheit) would cause conventional rubber tires to become glass-like and shatter, Astrolab’s solution is intended to keep the rover from sinking into the unconsolidated lunar dust—or regolith—that covers the environment.
Tech
Novo Nordisk partners with OpenAI to AI-power drug development | Computer Weekly
Danish pharmaceutical company Novo Nordisk has partnered with OpenAI to support drug research and development. Through the partnership, Novo Nordisk said it plans to deploy advanced artificial intelligence (AI) capabilities to analyse complex datasets, identify promising drug candidates and reduce the time required to move from research to patient.
The company said its use of AI has been structured with strict data protection, governance and human oversight to ensure ethical and compliant use. This latest partnership is being positioned as a key part of the company’s strategy to use AI to transform healthcare and enable it to bring new and better treatment options to patients faster.
In 2024, a break-out session run during its Capitals Market Day presented Novo Nordisk’s strategy, discussing how it uses data science and AI and its future plans. The presentation shows that the company set up an AI centre of excellence in 2021, and had begun ramping up investment in high performance computing and graphics processor units (GPUs) by 2023. The company said it has deployed a data pool called FounData, where all data from completed clinical trials are pooled and prepared for insights-generation.
It has also deployed NovoScribe, an AI-powered platform built using MongoDB Atlas Vector Search, Amazon Bedrock and LangChain to automate and accelerate the creation of clinical study reports. Novo Nordisk said NovoScribe reduces the time to regulatory submissions.
At the time, the company said external partnerships and collaborations would continue to play an important role in reaching its AI ambitions.
Earlier this year, Christos Nicolaou, a senior scientific director at Novo Nordisk, posted on LinkedIn that the company has now joined Ligand-AI, a new project funded by the EU public-private partnership, Innovative Health Initiative (IHI).
In the post, he said the project’s goal is to generate high quality, large, open datasets of protein-ligand interactions for thousands of proteins. “In the spirit of open science collaboration, these datasets will be shared and used to implement models and methods to improve AI-driven drug discovery,” he said.
This latest partnership with OpenAI builds on technology partnerships it has with AWS, Microsoft, Google and Hugging Face, as well as its existing collaboration with OpenAI.
“This partnership is one important step in positioning Novo Nordisk to lead in the next era of healthcare,” said Mike Doustdar, president and CEO of Novo Nordisk. “There are millions of people living with obesity and diabetes who need treatment options, and we know there are therapies still waiting to be discovered that could change their lives.
“Integrating AI in our everyday work gives us the ability to analyse datasets at a scale that was previously impossible, identify patterns we could not see, and test hypotheses faster than ever. This means discovering new therapies and bringing them to market faster than ever before.”
OpenAI said it would be assisting Novo Nordisk in upskilling the company’s global workforce and enhancing AI literacy. Through the partnership OpenAI’s capabilities will also be used to improve efficiency in manufacturing, supply chain and distribution, and corporate operations. The company is starting pilot programmes across research and development, and manufacturing and commercial operations, with full integration by the end of 2026.
Tech
Flood warning: How citizens’ AI agents will swamp public services | Computer Weekly
The people running UK public services are busy working out how artificial intelligence (AI) might improve things.
There’s some good stuff happening, like tools to digitise planning information, transcribe probation officers’ conversations or rapidly assess stroke victims. There’s some nicely radical thinking coming out of various pockets of the Government Digital Service and the Department for Science, Innovation and Technology. Teams across government are running countless experiments.
But what if governments are looking through the AI telescope from the wrong end? What if citizens’ own use of AI to access public services proves to be an even more transformative force?
Creating friction
Many public services rely on friction to stay viable. They depend on slow, confusing, frustrating user experiences to put off those otherwise eligible – how often do people just get fed up trying, and give up? This is both unfair and politically convenient. You could say “’twas ever thus” – until now.
From parents seeking special needs support to property owners appealing council tax bands, it’s often the friction of bad service design that restrains demand, not the law.
AI – specifically AI agents – will remove that friction. Your AI agent will be doggedly relentless in how it accesses public services on your behalf, however byzantine those services may be. It will make sure your application is perfectly crafted to maximise your chances of getting what you want, treating any appeals process as just another stage to be navigated.
Ask your agent
I’m lucky to have played a lot with AI agents recently – the likes of OpenClaw, PicoClaw and Claude Cowork. I recently ran an experiment with OpenClaw – what would an AI agent do if I asked it to tell me whether the council tax band for my house was fair, in comparison to my neighbours?
It came back immediately to tell me the band was higher than all my neighbours and suggested some next steps it could take. At this point I stopped it, as I’d realised something stark.
If I’d have let it, my AI agent would happily have run off to compare neighbours’ floor areas by querying the Gov.uk Energy Performance Certificate API; it would have measured neighbours’ extensions from Ordnance Survey; downloaded Land Registry’s historic house price dataset; searched property websites for number of bedrooms; and researched how best to craft an appeal over my council tax band to the Valuation Office Agency. It would then have written a far better appeal letter than I ever could and submitted it on my behalf. Just like that – all without any intervention on my part.
Now I might still have lost the appeal, but the cost to me in time and hassle would have been negligible compared to even three months ago – one click and about 12p, which is the most expensive it’ll ever be. The friction that stops people from appealing their council tax band just disappeared. Ditto every other public service.
Now what?
Agentic flooding
Welcome to the new frontier of “agentic flooding”, a term coined by Chris Schmitz, a PhD student at Berlin’s Centre for Digital Governance. He’s created a dashboard highlighting increased demand for public services which might be attributed to citizens’ use of AI.
For example, benefit appeals to the Department for Work and Pensions have increased by over 60% since the first benefit-specific AI tools appeared in 2022. And this was before AI agents appeared on the scene at the end of 2025.
Governments are not remotely ready for the coming explosion in demand for their services driven by AI agents. It might take a couple of years, but it’s coming.
Much of this demand will be entirely legitimate. Some of it doubtless will be fraudulent. But demand is demand, and AI agents don’t ever get bored – they negate the friction that used to keep demand in check.
Adding more friction to restrict AI agents would see the government kicking off an AI arms race against its citizens in which both sides lose. Instead, governments will need to clarify – if not tighten – countless rules, policies, processes and regulations, otherwise public services risk being swamped. Along the way, policy grey areas will be eliminated, and that’ll be a loss.
All this won’t be popular, particularly if done in a hurry in response to a crisis.
There’s been a great emphasis in Whitehall on using AI to write better policy papers. I hope they’re using AI to explore the myriad tricky policy responses required to respond to the imminent explosion in demand.
Oh, and by the way – the same will apply for the private sector.
Tom Loosemore is a partner at consultancy Public Digital.
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