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What’s New in Anthropic’s Claude 4 Gen AI Models?

Anthropic said it’s using extra safety precautions with its heavy duty Claude 4 Opus model.

The latest versions of Anthropic’s Claude generative AI models made their debut Thursday, including a heavier-duty model built specifically for coding and complex tasks.

Anthropic launched the new Claude 4 Opus and Claude 4 Sonnet models during its Code with Claude developer conference and executives said the new tools mark a significant step forward in terms of reasoning and deep thinking skills.

The company launched the prior model, Claude 3.7 Sonnet, in February. Since then, competing AI developers have also upped their game. OpenAI released GPT-4.1 in April, with an emphasis on an expanded context window, along with the new o3 reasoning model family. Google followed in early May with an updated version of Gemini 2.5 Pro that it said is better at coding.

Claude 4 Opus is a larger, more resource-intensive model built to handle particularly difficult challenges. Anthropic CEO Dario Amodei said test users have seen it quickly handle tasks that might have taken a person several hours to complete. 

«In many ways, as we’re often finding with large models, the benchmarks don’t fully do justice to it,» he said during the keynote event.

Claude 4 Sonnet is a leaner model, with improvements built on Anthropic’s Claude 3.7 Sonnet model. The 3.7 model often had problems with overeagerness and sometimes did more than the person asked it to do, Amodei said. While it’s a less resource-intensive model, it still performs well, he said. 

«It actually does just as well as Opus on some of the coding benchmarks, but I think it’s leaner and more narrowly focused,» Amodei said.

Anthropic said the models have a new capability, still being beta tested, in which they can use tools like web searches while engaged in extended reasoning. The models can alternate between reasoning and using tools to get better responses to complex queries.

The models offer near-instant response modes and extended thinking modes. 

All of the paid plans offer Opus and Sonnet models, while the free plan just has the Sonnet model.

The new models show Anthropic’s focus on building strong coding models, said Arun Chandrasekaran, a distinguished vice president, analyst at Gartner. «Anthropic’s Claude models have established strong leadership in the software engineering domain and the latest Claude 4 release extends that leadership.»

Anthropic triggers safety protocols with new Claude models

In launching the Claude Opus 4 model, Anthropic said it was taking increased safety precautions to reduce the risk of Claude being misused. In a blog post, the company said it hasn’t determined whether the model actually requires the protections of its ASL-3 standard but it is doing so as a precaution. 

The safety precautions are specifically designed to prevent Claude from helping with developing chemical, biological, radiological or nuclear weapons. Anthropic said it limited attacks known as universal jailbreaks that let attackers get around existing protocols.  «We will continue to evaluate Claude Opus 4’s CBRN capabilities,» Anthropic’s blog post said. «If we conclude that Claude Opus 4 has not surpassed the relevant Capability Threshold, then we may remove or adjust the ASL-3 protections.»

Chandrasekaran said the implementation of safety standards is worth noting. «This includes enhanced cybersecurity measures and prompt classifiers to mitigate risks associated with powerful AI systems,» he said. The new models show the company’s focus on balancing new technology with safety, he said.

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Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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