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gemini 3
(Google)

Google releases Gemini 3 AI model

The major update to Google’s flagship model features better reasoning, multistep agentic tasks, and stronger “vibe coding.”

Jon Keegan

Today Google released Gemini 3, a major update to its flagship AI model. The new model comes with a number of new features that aim to leap ahead of competitors OpenAI and Anthropic. The release also features significant improvements to reasoning, agentic tasks, and “vibe coding.” Google says when using Gemini 3, “you’ll notice the responses are more helpful, better formatted and more concise.”

Google says that Gemini’s interface has also been refreshed, and the shopping experience has “radically” improved.

Gemini 3 has a new feature called Generative Interfaces, which can turn responses into magazine-style layouts or build interactive presentations as a response to queries, though both of these examples were listed as “experiments.”

Another experiment is Gemini Agent, which can handle complex, multistep tasks across Google’s apps all within Gemini.

Google hopes to leverage its massive reach so Gemini becomes the AI chatbot of choice. The company posted results that show Gemini bested GPT-5.1 and Claude Sonnet 4.5 in many widely used benchmarks. Gemini 3 leapt to the top spot on the popular LMArena leaderboard.

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Meta released a Reddit dupe. Reddit investors don’t like it.

Fresh on the heels of releasing a Snapchat dupe, which sent Snap down earlier this month, Meta seems to be meddling with Reddit, quietly releasing a Reddit-like Facebook app called Forum yesterday. After news of the “dedicated space built for deeper discussions, real answers and the communities you care about,” Reddit’s stock is down 4.5% today.

Last month, Reddit’s earnings report handily beat analysts’ expectations, but it continues to struggle with the perception that bigger tech companies — including Meta — investing heavily in AI will eat its lunch. The stock is down nearly 40% year-to-date.

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Report: OpenAI’s Q1 revenue was $5.7 billion, beating Anthropic

The neck-and-neck race between OpenAI and Anthropic as the AI companies barrel toward their expected IPOs this year is shaking out some internal numbers for would-be investors to ponder.

The Information is reporting that OpenAI’s first-quarter revenue was ~$5.7 billion, about $1 billion ahead of Anthropic’s revenue for the same period.

The Wall Street Journal recently reported that Anthropic is on course to more than double its first-quarter revenue of $4.8 billion to $10.9 billion in the second quarter. It is not known what OpenAI is projecting for Q2.

Recently, The New York Times reported that Anthropic’s current fundraising round seeking to raise between $30 billion and $50 billion comes with a valuation of up to $950 billion, putting it ahead of OpenAI’s latest reported valuation of $850 billion.

The Wall Street Journal recently reported that Anthropic is on course to more than double its first-quarter revenue of $4.8 billion to $10.9 billion in the second quarter. It is not known what OpenAI is projecting for Q2.

Recently, The New York Times reported that Anthropic’s current fundraising round seeking to raise between $30 billion and $50 billion comes with a valuation of up to $950 billion, putting it ahead of OpenAI’s latest reported valuation of $850 billion.

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Alphabet’s Waymos are still getting caught in floods after recall

Waymo, the self-driving subsidiary of Alphabet, has paused operations in Atlanta after a new report of a vehicle driving into a flooded roadway and getting stuck, TechCrunch reports. The news comes just weeks after the company recalled its fleet of nearly 4,000 driverless cars to deal with a previous flood incident in San Antonio, where the service is also paused.

After that incident, Waymo instituted an “interim remedy” to make the vehicles “exclude additional operating conditions that present an elevated risk of encountering a flooded, higherspeed roadway,” but added that it was still “developing the final remedy for this recall.”

As we’ve noted, Waymo has mostly kept its rollout — now public in 11 cities — to more temperate climates, as severe weather poses more challenges to autonomous vehicles.

After that incident, Waymo instituted an “interim remedy” to make the vehicles “exclude additional operating conditions that present an elevated risk of encountering a flooded, higherspeed roadway,” but added that it was still “developing the final remedy for this recall.”

As we’ve noted, Waymo has mostly kept its rollout — now public in 11 cities — to more temperate climates, as severe weather poses more challenges to autonomous vehicles.

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Jon Keegan

Report: Anthropic is in talks to use Microsoft’s custom AI chips

Anthropic is in talks to rent custom AI chips from Microsoft, according to a report from The Information, as the Claude coder’s scramble for compute continues.

During the first wave of the generative-AI boom, companies rushed to get their hands on Nvidia’s GPUs, as they were the only game in town if you wanted to build new models.

But as the role of inference has shifted to a top priority, with companies focusing on actually running models to make money, they’ve started shopping around, buying chips tailored for the task, and in some cases decided to make their own.

Additionally, Anthropic has become something of a victim of its own success at rolling out products that can be quickly adopted by enterprise clients. That rapid, wide-scale adoption has revealed significant compute constraints. Anthropic is now, effectively, looking for any and all compute capacity it can find, striking deals with CoreWeave, Amazon, Google and Broadcom, and even xAI.

Amazon and Google have both seen hot demand for their custom inference chips. But Microsoft is still trying to get its custom Maia chips into the mix, after encountering delays.

If Microsoft lands Anthropic as a customer for its Azure-based Maia computing services, it could open the door for other companies seeking another option for meeting the sky-high demand for AI inference, as agentic models gobble up trillions of tokens.

But as the role of inference has shifted to a top priority, with companies focusing on actually running models to make money, they’ve started shopping around, buying chips tailored for the task, and in some cases decided to make their own.

Additionally, Anthropic has become something of a victim of its own success at rolling out products that can be quickly adopted by enterprise clients. That rapid, wide-scale adoption has revealed significant compute constraints. Anthropic is now, effectively, looking for any and all compute capacity it can find, striking deals with CoreWeave, Amazon, Google and Broadcom, and even xAI.

Amazon and Google have both seen hot demand for their custom inference chips. But Microsoft is still trying to get its custom Maia chips into the mix, after encountering delays.

If Microsoft lands Anthropic as a customer for its Azure-based Maia computing services, it could open the door for other companies seeking another option for meeting the sky-high demand for AI inference, as agentic models gobble up trillions of tokens.

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