When news broke that OpenAI was in talks to acquire AI coding company Windsurf for $3 billion, one of the first questions on the mind of anyone following the space was likely: “Why not buy Cursor creator Anysphere instead?”

After all, OpenAI Startup Fund has been an investor in Anysphere, the maker of Cursor, since the quickly growing coding assistant’s seed round in late 2023.  (Anysphere is often referred to by its product name, Cursor.) It turns out that OpenAI indeed approached Anysphere in 2024 and again earlier this year about a potential acquisition,  according to a report from CNBC. The talks failed. Instead, Anysphere has been in talks to raise capital at about $10 billion valuation, Bloomberg reported last month.

OpenAI’s desire to move on to acquisition discussions with another coding assistant maker signals how important capturing a slice of the code generation market has become for the ChatGPT maker. Windsurf is generating about $40 million in annualized recurring revenue (ARR), TechCrunch reported in February. Meanwhile, Anysphere’s Cursor reportedly makes about $200 million on an ARR basis.

While OpenAI’s Codex CLI “agent,” which the company released Wednesday, can also write and edit code, its attempt to buy Windsurf suggests the company doesn’t want to wait for CLI to gain traction with customers.

On Thursday, weeks after launching its most powerful AI model yet, Gemini 2.5 Pro, Google published a technical report showing the results of its internal safety evaluations. However, the report is light on the details, experts say, making it difficult to determine which risks the model might pose.

Technical reports provide useful — and unflattering, at times — info that companies don’t always widely advertise about their AI. By and large, the AI community sees these reports as good-faith efforts to support independent research and safety evaluations.

Google takes a different safety reporting approach than some of its AI rivals, publishing technical reports only once it considers a model to have graduated from the “experimental” stage. The company also doesn’t include findings from all of its “dangerous capability” evaluations in these write-ups; it reserves those for a separate audit.

Several experts TechCrunch spoke with were still disappointed by the sparsity of the Gemini 2.5 Pro report, however, which they noted doesn’t mention Google’s Frontier Safety Framework (FSF). Google introduced the FSF last year in what it described as an effort to identify future AI capabilities that could cause “severe harm.”

“This [report] is very sparse, contains minimal information, and came out weeks after the model was already made available to the public,” Peter Wildeford, co-founder of the Institute for AI Policy and Strategy, told TechCrunch. “It’s impossible to verify if Google is living up to its public commitments and thus impossible to assess the safety and security of their models.”

Thomas Woodside, co-founder of the Secure AI Project, said that while he’s glad Google released a report for Gemini 2.5 Pro, he’s not convinced of the company’s commitment to delivering timely supplemental safety evaluations. Woodside pointed out that the last time Google published the results of dangerous capability tests was in June 2024 — for a model announced in February that same year.

Not inspiring much confidence, Google hasn’t made available a report for Gemini 2.5 Flash, a smaller, more efficient model the company announced last week. A spokesperson told TechCrunch a report for Flash is “coming soon.”

“I hope this is a promise from Google to start publishing more frequent updates,” Woodside told TechCrunch. “Those updates should include the results of evaluations for models that haven’t been publicly deployed yet, since those models could also pose serious risks.”

Google may have been one of the first AI labs to propose standardized reports for models, but it’s not the only one that’s been accused of underdelivering on transparency lately. Meta released a similarly skimpy safety evaluation of its new Llama 4 open models, and OpenAI opted not to publish any report for its GPT-4.1 series.

Hanging over Google’s head are assurances the tech giant made to regulators to maintain a high standard of AI safety testing and reporting. Two years ago, Google told the U.S. government it would publish safety reports for all “significant” public AI models “within scope.” The company followed up that promise with similar commitments to other countries, pledging to “provide public transparency” around AI products.

Kevin Bankston, a senior adviser on AI governance at the Center for Democracy and Technology, called the trend of sporadic and vague reports a “race to the bottom” on AI safety.

“Combined with reports that competing labs like OpenAI have shaved their safety testing time before release from months to days, this meager documentation for Google’s top AI model tells a troubling story of a race to the bottom on AI safety and transparency as companies rush their models to market,” he told TechCrunch.

Google has said in statements that, while not detailed in its technical reports, it conducts safety testing and “adversarial red teaming” for models ahead of release.

Elon Musk’s AI company, xAI, is slowly bringing its Grok chatbot to parity with top rivals like ChatGPT and Google’s Gemini.

Wednesday night, xAI announced a “memory” feature for Grok that enables the bot to remember details from past conversations. Now, if you ask Grok for recommendations, it’ll give more personalized responses — assuming you’ve used it enough to allow it to “learn” your preferences.

ChatGPT has long had a similar memory feature, which was recently upgraded to reference a user’s entire chat history. Gemini, too, has persistent memory to tailor its replies to individual people.

“Memories are transparent,” reads a post from the official Grok account on X. “[Y]ou can see exactly what Grok knows and choose what to forget.”

Grok now remembers your conversations. When you ask for recommendations or advice, you’ll get personalized responses. pic.twitter.com/UXhX7BjS57

— Grok (@grok) April 17, 2025

Grok’s new memory feature is available in beta on Grok.com and the Grok iOS and Android apps — but not for users in the EU or U.K. It can be toggled off from the Data Controls page in the settings menu, and individual “memories” can be deleted by tapping the icon beneath the memory from the Grok chat interface on the web (and soon Android).

xAI says that it’s working on bringing the memory feature to the Grok experience on X.