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Anthropic on Monday debuted Claude 3, a suite of artificial intelligence models that it says are its fastest and most powerful yet. The new tools are called Claude 3 Opus, Sonnet and Haiku.

The company said the most capable of the new models, Claude 3 Opus, outperformed OpenAI’s GPT-4 and Google’s Gemini Ultra on industry benchmark tests, such as undergraduate level knowledge, graduate level reasoning and basic mathematics.

This is the first time Anthropic has offered multimodal support. Users can upload photos, charts, documents and other types of unstructured data for analysis and answers.

The other models, Sonnet and Haiku, are more compact and less expensive than Opus. Sonnet and Opus are available in 159 countries starting Monday, while Haiku will be coming soon, according to Anthropic. The company declined to specify how long it took to train Claude 3 or how much it cost, but it said companies like Airtable and Asana helped A/B test the models.

This time last year, Anthropic was seen as a promising generative AI startup founded by ex-OpenAI research executives. It had completed Series A and B funding rounds, but it had only rolled out the first version of its chatbot without any consumer access or major fanfare.

Twelve months later, it’s one of the hottest AI startups, with backers including Google, Salesforce and Amazon, and a product that directly competes with ChatGPT in both the enterprise and consumer worlds. Over the past year, the startup closed five different funding deals, totaling about $7.3 billion.

The generative AI field has exploded over the past year, with a record $29.1 billion invested across nearly 700 deals in 2023, a more than 260% increase in deal value from a year earlier, according to PitchBook. It’s become the buzziest phrase on corporate earnings calls quarter after quarter. Academics and ethicists have voiced significant concerns about the technology’s tendency to propagate bias, but even so, it’s quickly made its way into schools, online travel, the medical industry, online advertising and more.

Between 60 and 80 people worked on the core AI model, while between 120 and 150 people worked on its technical aspects, Anthropic co-founder Daniela Amodei told CNBC in an interview. For the AI model’s last iteration, a team of 30 to 35 people worked directly on it, with about 150 people total supporting it, Amodei told CNBC in July.

Anthropic said Claude 3 can summarize up to about 150,00 words, or a sizeable book (think: around the length range of “Moby Dick” or “Harry Potter and the Deathly Hallows”). Its previous version could only summarize 75,000 words. Users can input large data sets, and ask for summaries in the form of a memo, letter or story. ChatGPT, by contrast, can handle about 3,000 words.

Amodei also said Claude 3 has a better understanding of risk in responses than its previous version.

“In our quest to have a highly harmless model, Claude 2 would sometimes over-refuse,” Amodei told CNBC. “When somebody would kind of bump up against some of the spicier topics or the trust and safety guardrails, sometimes Claude 2 would trend a little bit conservative in responding to those questions.”

Claude 3 has a more nuanced understanding of prompts, according to Anthropic.

Multimodality, or adding options like photo and video capabilities to generative AI, whether uploading them yourself or creating them using an AI model, has quickly become one of the industry’s hottest use cases.

“The world is multimodal,” OpenAI COO Brad Lightcap told CNBC in November. “If you think about the way we as humans process the world and engage with the world, we see things, we hear things, we say things — the world is much bigger than text. So to us, it always felt incomplete for text and code to be the single modalities, the single interfaces that we could have to how powerful these models are and what they can do.”

But multimodality, and increasingly complex AI models, also lead to more potential risks. Google recently took its AI image generator, part of its Gemini chatbot, offline after users discovered historical inaccuracies and questionable responses, which have circulated widely on social media.

Anthropic’s Claude 3 does not generate images; instead, it only allows users to upload images and other documents for analysis.

“Of course no model is perfect, and I think that’s a very important thing to say upfront,” Amodei told CNBC. “We’ve tried very diligently to make these models the intersection of as capable and as safe as possible. Of course there are going to be places where the model still makes something up from time to time.”

Clarification: Anthropic clarified with CNBC that Claude 3 can summarize about 150,000 words, not 200,000.

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U.S. pushes additional tariffs on Chinese chips to June 2027

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U.S. pushes additional tariffs on Chinese chips to June 2027

A silicon wafer with chips etched into is seen as U.S. Vice President Kamala Harris tours a site where Applied Materials plans to build a research facility, in Sunnyvale, California, U.S., May 22, 2023.

Pool | Reuters

The U.S. will increase tariffs on Chinese semiconductor imports in June 2027, at a rate to be determined at least a month in advance, the Trump administration said in a Federal Register filing on Tuesday.

But in the meantime, the initial tariff rate on semiconductor imports from China will be zero for 18 months, according to the filing from the Office of the U.S. Trade Representative.

As part of an investigation that kicked off a year ago, the agency found that China is engaging in unfair trade practices in the industry.

“For decades, China has targeted the semiconductor industry for dominance and has employed increasingly aggressive and sweeping non-market policies and practices in pursuing dominance of the sector,” the office said in the filing.

The decision to delay new tariffs for at least 18 months signals that the Trump administration is seeking to cool any trade hostilities between the U.S. and China.

Read more CNBC tech news

Additional tariffs could also become a bargaining chip if future talks break down.

U.S. President Donald Trump and Chinese President Xi Jinping reached a truce in the so-called trade war in October, as part of a deal that included the U.S. slashing some tariffs and China allowing exports of rare earth metals.

The USTR’s Tuesday filing states that tariffs will increase on June 23, 2027.

The notice is the next step in a process focusing on older chips that started during the Biden administration under Section 301 of the Trade Act.

The new 2027 date gives clarity to American firms that have said they are closely watching how U.S. tariffs could affect their businesses or supply chains.

The tariffs are separate from other duties threatened by the Trump administration on Chinese chip imports under Section 232 of the law.

EUV machines are key source of leverage for U.S. over China in AI race, says CSIS’s Gregory Allen

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Why we put Alphabet back in the Bullpen — plus, Cramer’s case for Nvidia in 2026

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Why we put Alphabet back in the Bullpen — plus, Cramer's case for Nvidia in 2026

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The next AI pivot will be toward efficiency and lowering costs, ex-Facebook privacy chief says

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The next AI pivot will be toward efficiency and lowering costs, ex-Facebook privacy chief says

Expect a drive towards efficiencies in AI in 2026, says Chris Kelly

Former Facebook Chief Privacy Officer Chris Kelly said Tuesday that the next phase of the artificial intelligence boom will focus on becoming more efficient.

As major AI players race to churn out the infrastructure needed to support AI workloads, Kelly told CNBC’s “Squawk Box” that the industry will need to streamline these power-intensive buildouts.

“We run our brains on 20 watts. We don’t need gigawatt power centers to reason,” Kelly said. “I think that finding efficiency is going to be one of the key things that the big AI players look to.”

Kelly, who was also general counsel at Facebook, added that the companies able to reach a breakthrough in lowering data center costs will emerge as AI winners.

Read more CNBC tech news

The data center market has accumulated over $61 billion in infrastructure dealmaking in 2025 as hyperscalers have rushed into a global construction craze, according to S&P Global.

OpenAI alone has made over $1.4 trillion in AI commitments over the next several years, including massive partnerships with GPU leader Nvidia and infrastructure giants Oracle and Coreweave.

But the data center frenzy has garnered growing concerns about where the power to support these buildouts is coming from, with an already strained electric grid.

Nvidia and OpenAI announced in September a project that included at least 10 gigawatts of data centers, which is roughly the equivalent of the annual power consumption of 8 million U.S. households.

Ten gigawatts is also around the same amount of power as New York City’s peak summer demand in 2024, according to the New York Independent System Operator.

Cost concerns were further fueled after DeepSeek launched a free, open-source large language model in December 2024 for under $6 million, the company claimed, significantly lower than U.S. competitors.

Kelly said he expects to see “a number of Chinese players come to the fore,” especially following President Donald Trump’s recent decision to approve the sale of Nvidia’s H200 chips to the country.

Open-source models, especially out of China, will provide people access to “basic levels of compute” and generative and agentic AI, Kelly added.

Global data center deals hit record $61 billion in 2025

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