MOUNTAIN VIEW, Calif.—Google rolled out early versions of Gemini 2.5 earlier this year. Marking a significant improvement over the 2.0 branch. For the first time, Google's chatbot felt competitive with the likes of ChatGPT, but it's been "experimental" and later "preview" since then. At I/O 2025, Google announced general availability for Gemini 2.5, and these models will soon be integrated with Chrome. There's also a fancy new subscription plan to get the most from Google's AI. You probably won't like the pricing, though.

Gemini 2.5 goes gold

Even though Gemini 2.5 was revealed a few months ago, the older 2.0 Flash has been the default model all this time. Now that 2.5 is finally ready, the 2.5 Flash model will be swapped in as the new default. This model has built-in simulated reasoning, so its outputs are much more reliable than 2.0 Flash.

Google says the release version of 2.5 Flash is better at reasoning, coding, and multimodality, but it uses 20–30 percent fewer tokens than the preview version. This edition is now live in Vertex AI, AI Studio, and the Gemini app. It will be made the default model in early June.

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In sparking his global trade war, Donald Trump seems to have maintained a glaring blind spot when it comes to protecting one of America's greatest trade advantages: the export of digital services.

Experts have warned that the consequences for Silicon Valley could be far-reaching.

In a report released Tuesday, an intelligence firm that tracks global trade risks, Allianz Trade, shared results of a survey of 4,500 firms worldwide, designed "to capture the impact of the escalation of trade tensions." Amid other key findings, the group warned that the US's fixation on the country's trillion-dollar goods deficit risks rocking "the fastest-growing segment of global trade," America's "invisible exports" of financial and digital services.

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A US-based propulsion company, Venus Aerospace, said Wednesday it had completed a short flight test of its rotating detonation rocket engine at Spaceport America in New Mexico.

The company's chief executive and co-founder, Sassie Duggleby, characterized the flight as "historic." It is believed to be the first US-based flight test of an idea that has been discussed academically for decades, a rotating detonation rocket engine. The concept has previously been tested in a handful of other countries, but never with a high-thrust engine.

"By proving this engine works beyond the lab, Venus brings the world closer to a future where hypersonic travel—traversing the globe in under two hours—becomes possible," Duggleby told Ars.

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Users on X (formerly Twitter) love to tag the verified @grok account in replies to get the large language model's take on any number of topics. On Wednesday, though, that account started largely ignoring those requests en masse in favor of redirecting the conversation towards the topic of alleged "white genocide" in South Africa and the related song "Kill the Boer."

Searching the Grok account's replies for mentions of "genocide" or "boer" currently returns dozens if not hundreds of posts where the LLM responds to completely unrelated queries with quixotic discussions about alleged killings of white farmers in South Africa (though many have been deleted in the time just before this post went live; links in this story have been replaced with archived versions where appropriate). The sheer range of these non-sequiturs is somewhat breathtaking; everything from questions about Robert F. Kennedy Jr.'s disinformation to discussions of MLB pitcher Max Scherzer's salary to a search for new group-specific put-downs , see Grok quickly turning the subject back toward the suddenly all-important topic of South Africa.

It's like Grok has become the world's most tiresome party guest, harping on its own pet talking points to the exclusion of any other discussion.

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On Wednesday, OpenAI announced that ChatGPT users now have access to GPT-4.1, an AI language model previously available only through the company's API since its launch one month ago. The update brings what OpenAI describes as improved coding and web development capabilities to paid ChatGPT subscribers, with wider enterprise rollout planned in the coming weeks.

GPT-4.1 and 4.1 mini to ChatGPT adds to an already complex model selection that includes GPT-4o, various specialized GPT-4o versions, o1-pro, o3-mini, and o3-mini-high models. There are technically nine AI models available for ChatGPT Pro subscribers. Wharton professor Ethan Mollick recently publicly lampooned the awkward situation on social media.

Deciding which AI model to use can be daunting for AI novices. Reddit users and OpenAI forum members alike commonly voice confusion about the available options. "I do not understand the reason behind having multiple models available for use," wrote one Reddit user in March. "Why would anyone use anything but the best one?" Another Redditor said they were "a bit lost" with the many ChatGPT models available after switching back from using Anthropic Claude.

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Since 2017, a particularly dangerous strain of E. coli O157:H7 has emerged across the country to spark outbreaks, severe disease, and deaths. It spreads in various ways: via leafy greens and contaminated beef, like its relatives, but also recreational waters. Hundreds of people across 46 states have been infected, and health officials have documented at least nine separate outbreaks. One in 2018, linked to lettuce, caused over 200 infections across 37 states, killing five people and causing a severe kidney condition in 26.

Now, a sweeping genetic analysis by researchers at the Centers for Disease Control and Prevention suggests a tiny mutation in one of the bacteria's molecular weapons may be behind the strain's rise. The finding, published recently in the journal Emerging Infectious Diseases , provides insights into this clinically significant plague and its rise to prominence. It also highlights the role of the bacteria's sophisticated military tactics.

The mutated weapon is part of a complex system that E. coli and other harmful bacteria sometimes use called a Type 3 Secretion System (T3SS). This involves molecular machinery that basically functions like a syringe, complete with a long needle that is poked into the cells of its victims. The T3SS then directly injects a fleet of hostile proteins. Those proteins—called effectors—attack specific targets that collectively disable the host's defense responses and make the host more hospitable for its bacterial conqueror.

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Google's DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve, is based on the company's Gemini large language models (LLMs), with the addition of an "evolutionary" approach that evaluates and improves algorithms across a range of use cases.

AlphaEvolve is essentially an AI coding agent, but it goes deeper than a standard Gemini chatbot. When you talk to Gemini, there is always a risk of hallucination, where the AI makes up details due to the non-deterministic nature of the underlying technology. AlphaEvolve uses an interesting approach to increase its accuracy when handling complex algorithmic problems.

According to DeepMind , this AI uses an automatic evaluation system. When a researcher interacts with AlphaEvolve, they input a problem along with possible solutions and avenues to explore. The model generates multiple possible solutions, using the efficient Gemini Flash and the more detail-oriented Gemini Pro, and then each solution is analyzed by the evaluator. An evolutionary framework allows AlphaEvolve to focus on the best solution and improve upon it.

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Netflix is joining its streaming rivals in testing the amount and types of advertisements its subscribers are willing to endure for lower prices.

Today, at its second annual upfront to advertisers, the streaming leader announced that it has created interactive mid-roll ads and pause ads that incorporate generative AI. Subscribers can expect to start seeing the new types of ads in 2026, Media Play News reported.

“[Netflix] members pay as much attention to midroll ads as they do to the shows and movies themselves,” Amy Reinhard, president of advertising at Netflix, said, per the publication.

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The world of computers is dominated by binary. Silicon transistors are either conducting or they're not, and so we've developed a whole world of math and logical operations around those binary capabilities. And, for the most part, quantum computing has been developing along similar lines, using qubits that, when measured, will be found in one of two states.

In some cases, the use of binary values is a feature of the object being used to hold the qubit. For example, a technology called dual-rail qubits takes its value from which of two linked resonators holds a photon. But there are many other quantum objects that have access to far more than two states—think of something like all the possible energy states an electron could occupy when orbiting an atom. We can use things like this as qubits by only relying on the lowest two energy levels. But there's nothing stopping us from using more than two.

In Wednesday's issue of Nature, researchers describe creating qudits, the generic term for systems that hold quantum information—it's short for quantum digits. Using a system that can be in three or four possible states (qutrits and ququarts, respectively), they demonstrate the first error correction of higher-order quantum memory.

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