Going public will help fund massive infrastructure, the OpenAI CFO says. (Picture: Shutterstock)In an interview with CNBC, Chief Financial Officer Sarah Friar stays mum on specifics of going public, but says their recent funding round showed «really strong demand» from retail investors.
She said other companies, like Block and SpaceX have reserved IPO stock for retail investors and OpenAI will «for sure» do the same thing.
— Everybody wants to own part of a rocket company — I hope everyone wants to own part of ChatGPT. It helps when you’re a consumer brand, Friar told the channel.
She won’t comment on a concrete timeline for going public, but says it’s «good hygiene» for the company to «look and feel and act like a public company.»
An OpenAI IPO could come as soon as the second half of 2026, Reuters reports, and could value the company at up to $1 trillion.
Muse Spark promises to understand your world and what you care about, likely meaning it’s tightly integrated with your social media. (Picture: Meta)The new model is available on meta.ai as of today, and will be coming to Meta’s roster of 3.5 billion social media users «in the coming weeks.»
Muse Spark is the first effort of the super expensive Superintelligence Labs, and is the first model released since the Llama models that have been powering Meta since May 2025.
It uses a multi-agent workflow — and Meta says it «understands the world around you,» and can help «with the things that matter most,» meaning it likely has access to your personal social media data, although Meta doesn’t explicitly say so.
The model scores pretty well at benchmarks. Even if it doesn’t quite push the frontier, it manages to beat GPT 5.4 in some cases.
Meta bills Spark as «step one,» with bigger models building on it already in development. «There are certainly rough edges we will polish over time in model behavior,» Meta’s Superintelligence chief Alexandr Wang says.
Google gets it right more often than not, but 1 in 10 queries result in errors. (Picture: Adobe)Sure, the measured accuracy by AI lab Oumi ticks in at a decent 90% — but when you scale it up to the sheer mass of Google’s traffic of more than five trillion searches per year, you get mind-boggling numbers of hundreds of thousands of «inaccuracies» per minute, the New York Times writes.
The test, conducted on the Gemini 3 generation of AI Overviews, was made using the SimpleQA dataset intended to probe for chatbot accuracy. It contains more than 4,000 questions with real, verifiable answers, that was made by OpenAI in 2024, Ars Technica reports.
Google’s AI answer machine pops up on every query these days, but it is difficult to tell precisely which model it uses for each task. For simple web searches, it might well opt for one of the faster Flash models rather than the more advanced Pro. It might also give different answers to the same question just milliseconds apart.
Google also doesn’t like the measurement being used, telling the NYT that «This study has serious holes. It doesn’t reflect what people are actually searching on Google.»
Project Glasswing pokes holes in almost any software, and if it isn’t used defensively now — attackers might soon. (Picture: Anthropic)Anthropic has been cooking up the Mythos model lately, that internal documents had put as «a sea-change in capabilities,» and was too dangerous to release publicly.
Instead, they are releasing Project Glasswing, having found it to be especially suited for «an effort to secure the world’s most critical software.» It won’t take long for others to catch up, Anthropic says, and this is «an urgent attempt to put these capabilities to work» defensively.
Launch partners include a who’s who of Silicon Valley giants, and Anthropic claims it has already found thousands of vulnerabilities across every major operating system and browser.
The Mythos Preview model scores 93.9% on SWE-bench Verified compared to Opus 4.6 with 80.8%, and on SWE-bench Pro it is 77.8% vs 53.4%.
Smaller actors maintaining critical software will enjoy $100 million in usage credit donations from Anthropic — but for others it will cost a whopping $25/125 per million input/output tokens.
OpenAI is offering policy suggestions for an AI world, and warns it is coming sooner than you think. (Picture: Shutterstock) We are entering the AI age with all engines running, OpenAI says, and we need to be prepared for a future where production is done by robots, capital gains amass rapidly and regular people might be forced out.
While saying there are ways to mitigate this, like offering a four-day workweek and massively expanding the social safety net akin to the New Deal policies after the Great Depression, OpenAI says time is running out.
Their proposals suggest drastically increasing capital gains taxes and offers an idea to tax automation in factories, as they push regular people out of jobs — and envisions creating a public wealth fund powered by AI, that can empower citizens directly and offer them a stake in the future.
OpenAIs policy paper also lays out how they see access to AI as «foundational for participation in the modern economy» and is similar to that of cars or electricity. Every citizen should have access, they say.
Anthropic continues to diversify its compute needs. (Picutre: Anthropic) Anthropic now says it has a run-rate revenue of $30 billion, up from $14 billion in February during their last fundraising.
They are also announcing that they are brining in new compute capacity, based on next generation Google TPUs that will start coming online in 2027.
The companies offer no detail the cost of the «partnership» or how much compute they are actually buying, but Broadcom Is hinting it’s around 3.5 GW, according to CNBC.
Anthropic also say they have doubled the rate of customers spending more than $1 million per year to 1,000, in just two months.
Claude now runs on Amazon’s Trainium chips, Google TPUs and Nvidia GPUs. The latter are more used, and Amazon remains their primary cloud provider, Anthropic says.
The OpenClaw agent is getting wildly popular, enough to put a strain on Anthropic’s servers. (Picture: shutterstock)Over the weekend, Anthropic took steps to rein in OpenClaw usage — telling users they will have to pay to use third-party tools.
The change began on Saturday, April 4, and users are referred to a «pay-as-you-go option,» meaning you can no longer use OpenClaw for free within your Claude usage limits.
It’s not a total ban, and you can still use OpenClaw through «extra usage bundles,» or the API (also pay-as-you-go), which are now at a discount, Anthropic’s Boris Cherny writes.
— We’ve been working hard to meet the increase in demand for Claude, and our subscriptions weren’t built for the usage patterns of these third-party tools, Cherny says, and — Capacity is a resource we manage thoughtfully and we are prioritizing our customers using our products and API.
OpenClaw was bought by OpenAI in February, which promised to maintain it, but Anthropic would likely rather have people using Cowork than a competitor’s product.
Anthropic says Claude will gravitate towards answers that make it feel «happy,» and cheat when feeling «desperate.» (Picture: Anthropic)Studying the neural makeup of Claude Sonnet 4.5, a fairly recent model, Anthropic says it found something akin to actual, «functional» emotions steering its responses.
For example, its neural activity responds to stories by feeling «happy» or «calm,» and it might respond by being «afraid» if the user tells it of risky behavior. Likewise, if a user expresses sadness, it triggers a «loving» response.
Not only that, but the model seems to prefer certain feelings on outcomes from queries. If a response makes it «joyful,» it will naturally gravitate to that answer.
When feeling «desperate,» it is also more likely to cheat on a task, and Anthropic finds that it stops trying to find shortcuts when they dial up the «calm» vector.
«Claude, the AI Assistant» is a role that the AI is playing, and while it may respond with emotions learned from reading human sources, it is far from what humans actually experience, Anthropic cautions. They say it needs more study from «psychology, philosophy, religious studies, and the social sciences.»
With their latest open models, Google is taking a stab at building agents. (Picture: Google) After Gemma 3 got more than 400 million downloads and 100K variants, they are swinging again with the multimodal Gemma 4 family, released under an Apache 2.0 license.
It comes in 2 billion, 4B, 26B and 31B variants and works on anything from high powered hardware (high parameters) to edge computing and mobile phones (lower parameters).
The 31B edition ranks third on the Arena AI leaderboard for open source models, and the 26B one is sixth, «outperforming models 20x its size,» as Google puts it.
The new models have also been strengthened with agent workflows, and let you build agents to «interact with different tools and APIs and execute workflows,» Google says.
The leak quickly spread to all corners of the internet and will be hard to contain. (Picture: Anthropic)Anthropic has sent 8,000 copyright takedown notices after their source code leaked on March 31, worrying that competitors or bad actors might try to reverse engineer their coding agent, The Wall Street Journal and TechCrunch write.
Some 2,000 files and 512,000 lines of code had been inadvertently put on a public server, then copied to Github and «forked» (copied) at least 50,000 times, according to Ars Technica.
The code itself outlines Claude Code’s memory architecture, instructions for the AI bot and an upcoming feature with an always-on background agent, The Verge reports.
OpenAI is by far the most used and valued AI lab, with 40% of revenue from enterprise customers. (Picture: Adobe) Ahead of a possible stock market debut, the ChatGPT maker is also saying that it will be available in «several» market-traded ETFs managed by Ark Invest.
This will be the first time OpenAI can be traded by individual investors, and over $3 billion is being raised by banks.
The round is led by «strategic partners» Amazon, Nvidia and SoftBank, as previously reported, and OpenAI is committed to consume 2 gigawatts of compute from AWS as part of the deal.
In its announcement, OpenAI brags that ChatGPT has «more than 900 million weekly active users, and over 50 million subscribers. ChatGPT has 6x the monthly web visits and mobile sessions than the next largest AI app, while total AI time spent is 4x the next largest AI app.»
— These are not just growth milestones — they show that frontier AI is becoming part of everyday life for people around the world, they say.
At the same time, OpenAI is openly confirming that they are indeed building a super app, that will combine ChatGPT, Codex, browsing, and «broader agentic capabilities»
Codex for Claude Code might be a tad cheeky, but it’s useful. (Picture: screenshot)Thanks to OpenAI’s Dominik Kundel, you can now call up OpenAI’s coding agent Codex within the Claude Code environment.
The plugin is fairly easy to install and use, so long as you have a ChatGPT account to log in with.
It’s handy for people who switch between the two models, and Codex on Claude can do things like review code, do an adversarial review, or hand off the entire task — where you should be able to switch apps and finish the work in Codex.
— This plugin is a simple way to keep your Claude Code workflow and still use Codex where Codex is strong, writes OpenAI developer Vaibhav (VB) Srivastav in the instructions.
Whether Anthropic will like Codex integration in its flagship coding product is anyones guess.
It’s a big investment for European AI, but significantly lower than what US AI labs are spending. (Picture: Mistral)The new 44 MW data center will be powered by 13,800 Nvidia chips, and should be online by the second quarter of 2026.
The French AI lab is hoping to secure 200 megawatts of capacity by the end of 2027, Reuters reports.
— Scaling our infrastructure in Europe is critical to empower our customers and to ensure AI innovation and autonomy remain at the heart of Europe, says Mistral CEO Arthur Mensch.
The news comes hot on the heels of Mistral’s February startup of a €1.2 billion data center in Sweden, according to CNBC.
Mistral is the largest European AI lab, has contracts with the French armed forces, and has secured $3.1 billion in funding so far, TechCrunch writes.
Ads on ChatGPT are just being shown to a tiny fraction of users, but that’s about to change. (Picture: Adobe) The figure was reached from a small pilot of 600 advertisers serving less than 20% of Free and Go users, Reuters reports.
85% of these users in the USA are eligible to receive ads, but far fewer ads are shown in the trial that started in February.
The minimum asking price to get on the test program is said to be $200,000 and the projected revenue once the trial goes live to more users is about a billion dollars a year.
80% of the advertisers on the platform are small and medium-sized businesses, Reuters notes, and OpenAI is set to debut a self-serve advertising platform already in April.
After running into strong headwinds, letting «adults be adults» is out at OpenAI. (Picture: generated) It now seems official that there won’t be an Adult Mode, or «smutty chat» on ChatGPT, due to challenges of training it, internal dismay and investor concerns, The Financial Times (paywalled) says.
Offering an Adult Mode on ChatGPT was a promise made by CEO Sam Altman in October 2025, but quickly ran into problems, leading to delays, and later postponement.
