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Generative AI startup Anthropic reportedly on track to deliver $850M in annual revenue – SiliconANGLE News

Red hot artificial intelligence startup Anthropic PBC is projecting that it will now achieve an $850 million annualized revenue run rate by the end of 2024, significantly greater than an earlier forecast it made just three months ago.

Back in September, the company told investors it was generating revenue at a $100 million annualized run rate, and expected that number to top $500 million by the end of next year.A report by The Informationtoday said the new estimate comes from two people with knowledge of the companys finances, but it didnt say why the new projection is materially higher than the last.

Anthropic, which is backed by Amazon.com Inc. and Google LLC, is one of a number of high-profile AI startups attempting to take on OpenAI in the generative AI industry. The best known generative AI model is ChatGPT, which is renowned for its ability to create humanlike responses to text and audio prompts.

Anthropics answer to ChatGPT is Claude, which many say is just as impressive. The companys most recent model is Claude 2, and its designed to compete with GPT-4, which powers the latest version of ChatGPT. Besides responding to basic questions, it can generate marketing copy, solve mathematical problems, write original software code and more.

The startup was founded by siblings Dario and Daniela Amodei, who previously worked at OpenAI. One of the main differentiators between Claude 2 and rival models is that it has the ability to process more complex prompts containing up to 100,000 tokens, which is a unit in AI that corresponds to characters and numbers.The more tokens, the more data that can be processed.

In contrast, GPT-4 is only able to process up to 8,000 tokens. As such, Anthropic argues that Claude 2 has a much higher capacity for summarizing long documents.

The Informations report added that some people who are close to the company believe its annualized revenue could reach as much as $1 billion by the end of 2024, amounting to $83 million per month in sales.

In addition to generating its own dollars, Anthropic is also said to be holding talks over an additional $750 million funding round that would be led by Menlo Ventures, according to a report from The Information last week. The new round will reportedly bring Anthropics valuation to a cool $15 billion.

The startup has already raised several billion dollars in funding, with Amazon and Google agreeing to invest $4 billion and $2 billion, respectively, in the past few months. Prior to that, it raised $300 million from Google in an earlier round in March, which was followed by a $450 million Series C round led by Spark Capital in May. Sapphire Ventures LLC committed $1 billion to the startup in June, while South Korean telecommunications firm SK Telecom Co. Ltd. said in August it would invest $100 million.

The latest revenue projection appears to justify the confidence of those investors in Anthropics growth projections, and provides yet more evidence that generative AI is rapidly gaining steam in the enterprise.

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AI chatbots will become smart enough to be your coworker – The Register

Comment Large language models will evolve from AI chatbots generating synthetic content on your screen to virtual agents that are capable of performing actions on your computer.

Instead of answering questions or creating animated stickers, AI will soon be able to follow instructions and help you execute tasks. A new wave of AI agent startups are building products that can automate work.

Some, like Lindy, are building next-generation personal assistants that CEO Flo Crivello envisions doing all the tedious administrative chores that suck up people's time. "People are always worried that robots are stealing people's jobs. I think it's people who've been stealing robots' jobs," he said during a presentation at the AI Engineer Summit in San Francisco in October.

In the future, instead of having to check your calendar and message back and forth with someone to settle on a time and date for a meeting, for example, Lindy's agents can connect to your calendar and email apps to automatically find a free time slot, and write and send the email asking them to meet. Ideally, it would even add a Zoom link or Google Maps directions to a place too.

Users would communicate with the Lindy chatbot by describing a task for it to do. Behind the scenes, the LLM system would route the instructions to software that calls upon the relevant API needed to execute a particular action. Crivello told us Lindy can connect to a variety of APIs supporting file systems like Google Drive, sales and marketing platforms like HubSpot, as well as sites like LinkedIn.

Other startups like Adept are focused on teaching agents to perform keyboard and mouse moves. It trains its models on visual elements of user interfaces or web browsers so agents can recognize things like text boxes or search buttons. By training it on videos recording people's screens as they carry out tasks on specific software, it can learn what exactly needs to be typed and where it needs to click to do something such as copying and pasting information into an Excel spreadsheet.

In demos, the company has shown its agent extracting data from invoices to automatically fill in forms to file expenses, for example. "Our Northstar is that we're trying to make an AI teammate for every knowledge worker. We're working on step one right now, which is you ask Adept how to do any tedious thing that you've already done before," CEO David Luan told The Register.

Adept's software accepts images and text as input and returns text and actions as output. The tricky part, however, is making it reliable. The agents have to be fine-tuned on the right kind of data that teaches the way to perform a specific task more consistently. Working to automate keyboard and mouse actions is more difficult than hooking up LLMs to APIs.

There are pros and cons to each method, according to Crivello. "APIs are more reliable, but they don't let you do everything you might want to do," he said. Not all software can be accessed via an API, so sometimes it's better for agents to learn how to directly interact with graphical user interfaces. "The advantage of the UI is you can do everything but it's much harder to automate format; it's much more brittle," he added.

The idea of an AI copilot that works alongside humans is already becoming mainstream. Microsoft has packaged multiple AI-powered Office 365 tools into one subscription, naming it Copilot for Microsoft 365, while Google is offering similar capabilities across its Workspace apps with Duet AI.

Over time, these tools will become more capable and integrate with various types of software to do more than analyzing reports and drafting emails.

Researchers and analysts are beginning to forecast the impact that AI work companions will have on the workforce and economy. Employers are drawn to the promise that AI will make their employees more productive, meaning they'll be able to reach goals and hit targets more quickly.

A December report from Forrester viewed by El Reg predicts that in the short term, one to three years from now, autonomous workplace assistants (AWAs) will be able automate away easy tasks that take no longer than a few minutes for a human to perform.

"They are simple to deploy and deliver verifiable productivity returns, but they don't learn, have no context, and follow predetermined patterns. An unattended bot might perform an address update that a human used to do, but little in the work pattern has changed," the report said.

The first generation of agents won't affect what knowledge workers do in their jobs much, but they will begin to change how they do some tasks. Some of the easy drudgery work will be offloaded to machines, according to Craig Le Clair, co-author of the report and a principal analyst at Forrester.

"In the short term, AWAs tackle simple automation like accounting and payroll functions or customer self-service," he told us. "A key distinction between AWAs in the short-term period and those in the future is this focus on tedious, repeatable, and a low-value task, which can be performed by software and results in little residual value or process change. It primarily minimizes costs by extracting lower-paid human hours."

The next generation of workbots, expected to arrive in the next four to eight years, will be smarter and able to undertake more complex tasks that involve multiple steps, like setting up sales pipelines, generating potential leads, and converting customers. In more technical settings, they could begin to push code to crunch numbers and perform data analysis, the report said. In the future, these agents will begin using other AI tools to help them complete tasks.

"The later AWAs dramatically alter the relationship between humans and automation and give us new ways of working," Le Clair said. "AWAs provide higher level functions like decision making, physical agility, and conversation. Automation takes on more human-like characteristics, and they are able to understand a goal, not get stuck, and complete a work task. In this sense they become full coworkers. The AWA can consult [generative AI], for example, to handle workflow variation, consult a human or system if needed, and simulate more advanced human traits that present entirely new ways of doing things."

The most popular commercial LLMs are already beginning to adopt some of these early capabilities. Users can now use Anthropic's Claude bot in Google Sheets, while OpenAI introduced the idea of connecting GPTs to APIs to teach custom chatbots to carry out tasks.

"Like plugins, actions allow GPTs to integrate external data or interact with the real world," OpenAI says. "Connect GPTs to databases, plug them into emails, or make them your shopping assistant. For example, you could integrate a travel listings database, connect a user's email inbox, or facilitate e-commerce orders."

Anthropic introduced the concept of "tool use" when it announced that its latest LLM, Claude 2.1, could also connect to simple apps and APIs to do things like consulting a calculator to do arithmetic.

"By popular demand, we've also added tool use, a new beta feature that allows Claude to integrate with users' existing processes, products, and APIs," the company explains. "Claude can now orchestrate across developer-defined functions or APIs, search over web sources, and retrieve information from private knowledge bases. Users can define a set of tools for Claude to use and specify a request. The model will then decide which tool is required to achieve the task and execute an action on their behalf."

AI may boost productivity, but the technology won't be good enough to take most jobs in the short term. Adept's Luan believes it will mean that workers will get to focus on things that require more intelligence and interpersonal skills.

"I think that we'll spend more time working on higher reasoning tasks that these models can't do. Stuff that requires real human judgement and in-person touch point, like spending more time with customers," he said.

Le Clair agreed, saying that agents will impact industries differently. Nurse practitioners can take on more care responsibility aided by AI for decision support, he said, while paralegals will take on more client relationships and advice support assisted by agents that have passed the bar exam and provide legal services at a lower cost than a licensed attorney.

As AI continues to improve, it will destroy some jobs and create new one in the future.

"Unfortunately, the overall number of middle jobs will decline, and move many to the frontline service worker segments where human agility is still at a premium," Le Clair told us. "The digital elite will be hurt by AWAs that perform research, programming, and some creative tasks, and will have to depend on their human skills and networks to maintain their lifestyles."

Some believe that it'll mean humans can work less and pursue their hobbies and interests, while the more pessimistic reckon that workers aided by software will just be pushed to produce more.

Le Clair is the in the first camp. "It will result in shifting more work to AWAs, and reduce overall employment levels. We will be looking at a four-day work week in five years, with growing populations of alternative non-traditional work lifestyles," he said.

Hopefully he's right, and we humans can be a little more free. Throughout history, technological breakthroughs powering industrial revolutions have changed the nature of work, but never eliminated it completely.

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I was shocked: my husband was using AI to write our childrens bedtime stories – The Guardian

Opinion

I was impressed as his stories grew ever more inventive and responsive to our kids demands. Then I learned his secret

Tue 26 Dec 2023 06.00 EST

The other night, from the hallway outside my second-graders bedroom, I heard her ask my husband for a very specific bedtime story so specific I could have sworn she was choosing prompts just to screw with him. She wanted one that was about mowing lawns in a place called Bananaland, and a festival, and monkeys, but make it funny.

Gluck, I thought, as I started to tiptoe away, having completed my read-aloud portion from The Swiss Family Robinson, which were making our way through together each night.

I stuck around to hear him be eaten alive. But then he cleared his throat and began.

There was a protagonist, a clever and adventurous girl, who was not your typical Bananaland resident. There was a lawnmower, named the Banana Blade, that featured prominently. There were aromas of fresh-cut banana leaves, and mischievous monkeys, who threw banana peels into her path. By the time he got to the riddle the adventurous girl needed to solve, delivered in rhythm and rhyme, my entire world order had heaved on its axis.

He works in venture capital. Im the writer. And all I have the bandwidth to do at the end of the day is read aloud to her from books other creative people have written, even if their plots feature a good little mother who spends her days cheerfully whipping up delicious meals of roasted penguin and being praised for her frugality and Christian values.

To not only come up with a brand-new story, but also add a rhyming riddle into the mix? Just whom had I married? I started to cycle through the stories of other women whod also found themselves living with men who harbored deep secrets, from Rosemarys Baby to Jane Eyre. Was he communing with the devil? Did he have a first wife hidden in the coat closet?

Its ChatGPT, he whispered, with a shrug, after he tiptoed out and found me slack-jawed and panicky. I just feed in her insane prompts and it spits out a story.

Oh.

My panic then took a left turn. He wasnt communing with the devil, exactly, just a robot but in my profession, the one in which I string together words for a living, the line between artificial intelligence and Satan gets fuzzy. Another thought nagged at me: was this yet another product of a consumerist culture that promises instant gratification to children, who can be heard yelping up at their parents from strollers all over the world: Just go to Amazon and buy it?

While I fondly remember the serialized stories my father used to tell me at bedtime, often featuring a wise-cracking pigeon name Lou (Im walkin here! hed squawk as taxis swerved to avoid hitting him), I long ago gave up the idea that I could tap into some creative fount at bedtime.

Its a combination of world events, the obligations of a busy life with three little kids, and the relentless stream of illness that comes along with that we just recovered from a month-long period in which our household boasted three RSV infections, two strep throats, one case of croup, one ear infection and one pneumonia diagnosis (that one was mine). Like the homemade three-course meals that pop up on my Instagram feed, shot by the Parisian mothers whove somehow infiltrated my stream, spinning yarns for a rapt audience is a goal to strive towards. This means that the preschooler, whos going through a Mommy phase and only wants me to put her to bed, hasnt been told an on-the-spot story in ages.

Oh yeah, we do robot stories, one friend told me when I started asking around. For sure, said another. I just plug in prompts with the kids names in them. Heading online, I found that articles abounded exalting the welcome assist of having personalized bedtime stories at the fingertips of even the most tapped-out parent (including Alexis Ohanian, the co-founder of Reddit, who is apparently a fan).

A few years before AI started to dominate the headlines, I published a book that investigated the intersection of parenting and technology, and came to the conclusion that despite various marketers claims to the contrary, tech by and large only serves to transfer a parents focus from their own child to a device. Its promise is to hack a moment, make it more efficient but rarely is that the right goal for parents, who shouldnt be trying to optimize moments with their children, just doing their best to be present, without a scrim of blue light in between. I wondered: could the introduction of AI change that?

The next morning, having checked the closets for wives, I ventured over to ChatGPT and started feeding it some prompts.

Tell me a story in the style of Goodnight Moon about trucks (for the two-year-old).

Have the characters of Swiss Family Robinson visit New York City (for the second-grader).

Tell me a short bedtime story for a four-year-old who likes Frozen, and make it funny (for the preschooler).

I quickly realized that anything AI-generated for the two-year-old was missing the point. His experience of Goodnight Moon has more to do with curling up in my lap and looking at its comforting illustrations than it does to do with the prose itself, sleeping trucks in the garage be damned.

ChatGPT wildly bungled the Swiss Family Robinson prompt, even as I continually refined it, plopping the characters in Times Square, where, in a sequence that would make Johann David Wyss roll over in his grave, they danced whimsically in the glow of neon signs and laughed under the twinkling lights, creating memories that would last a lifetime (right up there with eating roast penguin).

It did the best for my four-year-old, introducing that bulletproof comic preschool element, a fart, but making it frosty. Even so, it was moralistic (sometimes the silliest moments create the most magical memories of friendship), formulaic and relied heavily on that cardinal sin of writing, telling and not showing. You can deploy mischievous eye twinkles only so many times before the frosty-farting little snowman starts to appear as deranged as Jack Nicholson in The Shining.

The algorithm is honest in its robotic way about its shortcomings as a bedtime storyteller. It offered that, if used appropriately, it could provide a time-saving tool (again with the optimization!) to co-create with your child while teaching morals and values (Lou never once taught me morals, except that jaywalking is acceptable), and fostering of love of imagination (though Ive yet to come across a child so pragmatic that they need help with that).

But it cautioned that its essential to use ChatGPT as a supplement to, rather than a replacement for, your own storytelling, and pointed out that overreliance on AI at bedtime might encourage passivity, both in the tellers and the listeners. Well, duh. Bedtime is arguably my most defenseless parenting moment of the day. The idea that Id be able to use the text as a jumping-off point for my own creativity and not simply read it word for word is as realistic as serving my kids pt en croute for dinner.

The real issue, I concluded as I mulled it over more, has less to do with the skill of the AI model, which will no doubt improve, and even less to do with the issue of feeding into the demands of our children. Its a fundamental misunderstanding of how much joy a kid is taking from a story, tailored so specifically to him, and how much hes taking from the hearing of that story, any story, filtered through the medium of a beloved parent whos looking him in the eye, or stroking his head, and not craning towards the blue light of a phone like a dystopian sunflower.

Until we merge more fully with the machine, until AI can mimic my voice, my history, my personal creative instincts, the entire act remains a simulation, from the way the words are put together to the feelings they are supposed to evoke. Which is likely why my second-grader stopped asking my husband for AI stories a couple weeks in, pronouncing them repetitive.

So, as we wrap up this AI-fueled year, I plead with fellow parents to resist the pull of AIs tentacles at bedtime. Everything in moderation, sure there are a lot of bedtimes. But the idea that my child will grow up with a profound lack of the kind of whimsical bedtime joy that can only come from co-creating morals-driven, hyper-specific stories with me is ludicrous. Shes evolutionarily programmed to find that joy and whimsy, even if it takes us grownups a moment to catch up.

On the way to school the other day, we spied a group of pigeons congregating on a street lamp.

What are they doing there? she asked. After a beat, she answered her own question: Going to school, right?

In the remaining blocks, the two of us created a parallel world, one in which squirrels and pigeons and sparrows were off to schooldays of learning how to hide acorns, and fly, and eat worm snacks. Weve kept it going every morning since. As I dragged her scooter hurriedly behind me one morning, she forced me to slow down, pointing to a squirrel scurrying over the stone wall separating the street from the park.

He was late to school, just like us, she said. Too bad he forgot his scooter at home. I could swear I saw her eyes actually twinkle.

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I was shocked: my husband was using AI to write our childrens bedtime stories - The Guardian

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AI, wearables and more these markets are booming as the world ages. The pros share 4 stock picks – CNBC

The world is aging rapidly, and there are more and more ways to invest in this theme. Shams Afzal, managing director at Carnegie Investment Counsel, noted that 17% of the U.S. population is now over the age of 65, and that proportion is expected to grow higher. And the demographics of that age group is changing. There's been a "marked jump" in education levels just 5% of those aged above 65 were degree holders in 1950, much lower than the 29% in 2018, Afzal said, citing Population Reference Bureau statistics. The gender gap in terms of mortality has also narrowed, from seven years in 1990 to five years in 2017, he said. "The aging population discussion in recent years has mostly revolved around future challenges to labor productivity and its economic growth implications," he said. "We see meaningful efforts by companies large and small, working to enhance the quality of life for individuals in this age group," Afzal, also a portfolio manager at the firm, told CNBC Pro . CNBC Pro asks expert investors in the area what the emerging trends are and the stocks to buy. AI, robotics and wearables The aging population stands to gain significantly from breakthroughs in robotics powered by artificial intelligence, according to Afzal. One example could be a robotic personal assistant, he said, flagging one company to watch: Figure, which is developing a robot capable of performing household tasks, conversations and commercial applications. However, the company is only at the venture capital stage of financing. When it comes to health care, Afzal also flagged the increasing use of robotics in surgery. He cited studies that show that the need for hip, knee and other joint replacement procedures surge when people reach their late 60s and early 70s. Medical devices firm Stryker is one stock to play the theme, he said. "This is a large tailwind for Stryker. It is positioned to benefit from an ageing population in the US and EU and from increasing adoption of robotics in surgeries across the rest of the world," he said. Stryker's surgical robots are "gaining momentum" in knee replacements, and its next generation of robots are expected to tackle the spine, according to Afzal. He said the stock is a "steady double-digit earnings grower" and experiencing healthy backlogs for its products that are "necessities in an operating room." Pacific Asset Management's Dani Saurymper also highlighted AI as an opportunity in the aging theme. Examples include robot-assisted surgery, treatment planning software and virtual nursing assistants, the portfolio manager said. Saurymper manages the Pacific Longevity and Social Change Fund. Arelis Agosto, research analyst at Global X ETFs, said wearables technology is one interesting area to invest in for the aging theme. "Many chronic illnesses require frequent measuring of vitals, where continuous monitoring via wearable sensors could make a noticeable difference," she said. Continuous glucose monitors are one example, according to her. They are sensors placed under the skin that measure glucose levels and automatically transfer data to a smart device. Insulin pumps are another example. They are small wearable devices that deliver insulin to diabetic patients. When used together with continuous glucose monitors, the pump adjusts insulin levels based on the patient's blood glucose readings, Agosto noted. "We view self-sustaining monitoring and therapeutic systems as the future of patient care, though it is particularly beneficial for elderly patients," Agosto said. Global X ETFs, a fund management company, offers a way to tap the aging theme through its Aging Population ETF. For those looking for individual stocks, Afzal of Carnegie flagged Abbott Laboratories , particularly its continuous glucose monitoring business which sells the FreeStyle Libre product. He highlighted it as an "area to watch," noting that Abbott's vision is to transform the product into a "lifestyle wearable sports device that becomes part of one's tech ecosystem." Education Education is one "great example of where multiple longevity themes intertwine," said Saurymper. About 33% of physicians will be 65 years or older by 2030, and industry surveys predict there will be a shortfall of 140,000 physicians in the U.S. in 10 years' time, he said. "As society ages, demand for healthcare professionals will only increase," said Saurymper. He named one stock to consider on this theme of training health-care professionals: Adtalem , a medical and health-care education company. It offers a wide variety of health-care programs, including nursing and licensed physician degrees, and should benefit from the demand-supply imbalance, he said. Screening and prevention Agosto of Global X ETFs highlighted one recent major trend related to the aging population: the push toward preventative medicine. "The GLP-1 category is a great example of the success treatments can see if they have broad reaching potential to help prevent chronic illnesses," said Agosto. GLP-1 drugs, originally developed as a treatment for diabetes, is now also being used for weight loss. Here's how to invest in this category. She said that obesity accounts for 80% of the risk of developing Type 2 diabetes, which one in every four elderly patients live with. "We view the broader shift to improve the care of chronic illnesses and the increased focus on prevention of such diseases as the single most important growth driver for the aging population theme," said Agosto. Within the screening space, Saurymper likes Hologic , which makes and supplies premium diagnostic products and medical imaging systems. The firm has begun to use AI-powered algorithms to expedite mammogram reading times and to enhance cancer detection in its image analytic products, he said.

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AI, wearables and more these markets are booming as the world ages. The pros share 4 stock picks - CNBC

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How AI boom will benefit these nine chipmakers in 2024 – Yahoo Finance UK

A silicon wafer with chips etched into at a research facility, in Sunnyvale, California, US. (POOL New / reuters)

Semiconductors and chips proved to be a hot talking point in 2023 for business, with the rise of artificial intelligence (AI) and what seemed to be the end of a prolonged supply chain-induced shortage.

Covid-19 brought a global standstill in supply chains for a variety of computer parts, and a rise in demand for personal computers as people were stuck at home.

Chip shortages impacted a swathe of industries, including cars, computers and gaming. By April 2021, lead times for semiconductors from Broadcom had extended to 22.2 weeks, up from 12.2 weeks in February 2020.

By 2022, chips were considered so strategically important that the US government passed the CHIPS Act, authorising roughly $280bn (222.7bn) in new funding to boost domestic research and manufacturing of semiconductors in the United States, of which it appropriates $52.7bn.

Read more: Why you could pay more tax in 2024 and five ways to avoid it

Here are the chip-related companies that have piqued investor interest going into 2024.

Intelligence computing company Nvidia was the top of the pile when it came to Google (GOOG) search rankings for chip-makers. It had a banner year in 2023, with the stock more than tripling year-on-year, as of 11 December.

This was due in part to the launch of new products and AI uptake which brought revenue for its third quarter, which ended in October, to $18.1bn. Profit surged nearly fourteenfold to $9.2bn and its market valuation is now above $1tn.

As for what's ahead, Nvidia is stepping up production of a highly sought after chip, the H100, that has been in short supply. The company predicted sales of about $20bn for the current quarter, well above analysts average estimates of just under $18bn.

We have significantly increased supply every quarter this year to meet strong demand, and expect to continue to do so next year, Colette Kress, Nvidias chief financial officer, said during a conference call with analysts in November.

Story continues

Advanced Micro Devices (AMD) has emerged as a challenger to heavyweight Nvidia and recently said it expects AI growth to boost its total addressable market to $400bn by 2027.

Recent deals and product releases mean it now counts Meta Platforms (META) and Microsoft (MSFT) among customers for its Instinct MI300X chip.

While its share price has more than doubled over the last year, from around $64 to $133, it still faces the potential prospect of being hit by the embargo on US chip trade with China.

Memory chip maker Micron is one of just three companies that make more than 90% of the worlds dynamic random-access memory (DRAM) chips. The others are Samsung (BC94.L) and SK Hynix which are both headquartered in South Korea. That means Idaho-based Micron is the only manufacturer in the US.

While it has also had a stellar year, the risk of a China ban is also weighing heavy on company executives' minds as about a quarter of Micron's revenue comes from the economic superpower. CEO Sanjay Mehrotra previously said about half of its revenue is at risk.

Intel watchers will be looking to the end of 2024 to see if it can really close the gap with its foreign rivals on 2nm chips a type of tech which could power the next generation of smartphones, data centres, and AI.

The company is calling its new chip the 18A node, and is reportedly trialling it at tech conferences, with an eye on production beginning late-2024. This release date could make it the first chipmaker to integrate it into next gen tech.

Even without this release, the company's stock price was up from $26.70 per share at the beginning of 2023 to $42.7p a share in December.

Arm executives and CEO Rene Haas gather outside Nasdaq Market site, as Softbank's Arm, chip design firm, holds an initial public offering (IPO), in New York, US. (REUTERS / Reuters)

Arm was one of the most anticipated IPOs of 2023, but has got off to a rocky start since its debut. This was partially due to analysts questioning the company's value as it grappled with uncertainty over how new accounting rules on revenue from large licensing deals can be recognised.

The company has said it is also looking to expand beyond its core products, into other areas such as data centre servers and personal computer chips.

Taiwanese company ASE has also seen a considerable stock bump in its stock price over the last year despite seeing slower inventory depletion due to weak end market demand by mid-year.

Continued macroeconomic constraints and a shift in consumer spending were also anticipated to have acted as headwinds.

The company has been actively pursuing various routes to reduce costs, including expanding its automation efforts. Due to the higher utility rates brought up by the Taiwan government, its utility costs are expected to have risen sequentially.

TSMC dominates the global market in processors and revealed test results for its N2 chip or 2 nanometre prototypes to some of its biggest customers, including Apple (AAPL) and Nvidia, the Financial Times reported. TSMC had been offering the new tech at a discount in a bid to attract big-name customers, sources said.

According to analysts at Zachs, Taiwan-based TSMC's sales are estimated to fall year-over-year by 4.7%. For the current and next fiscal years, $66.5bn and $80.5bn estimates indicate -12.4% and +21.1% changes, respectively.

ASML Holding logo is seen at company's headquarters in Eindhoven, Netherlands. (REUTERS / Reuters)

Chip producer ASML has also been grappling with a slowdown in the industry and the ban on trade with China. In December it saw a top-level management change which could spell hope for the future. CEO Peter Wennink is set to step down in April to make way for Christophe Fouquet, a chip industry veteran who is currently chief business officer.

ASML machines are vital to the production of cutting-edge chips at manufacturers such as Taiwan Semiconductor Manufacturing Company (2330.TW) and Samsung Electronics

Shares have risen close to 14% in the past year to value the Veldhoven-based company at about 250bn.

Broadcom's stock has been on the up in recent months after several endorsements from analysts. Most recently Citi slapped a 'Buy' rating on the stock which has gained more than 80% year-to-date.

The company is expecting significant windfall from the increased processing power needed for AI, despite slowing sales and macro issues.

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Misinformation may get worse in 2024 election as safeguards erode – The Associated Press

NEW YORK (AP) Nearly three years after rioters stormed the U.S. Capitol, the false election conspiracy theories that drove the violent attack remain prevalent on social media and cable news: suitcases filled with ballots, late-night ballot dumps, dead people voting.

Experts warn it will likely be worse in the coming presidential election contest. The safeguards that attempted to counter the bogus claims the last time are eroding, while the tools and systems that create and spread them are only getting stronger.

Many Americans, egged on by former President Donald Trump, have continued to push the unsupported idea that elections throughout the U.S. cant be trusted. A majority of Republicans (57%) believe Democrat Joe Biden was not legitimately elected president.

Meanwhile, generative artificial intelligence tools have made it far cheaper and easier to spread the kind of misinformation that can mislead voters and potentially influence elections. And social media companies that once invested heavily in correcting the record have shifted their priorities.

I expect a tsunami of misinformation, said Oren Etzioni, an artificial intelligence expert and professor emeritus at the University of Washington. I cant prove that. I hope to be proven wrong. But the ingredients are there, and I am completely terrified.

Manipulated images and videos surrounding elections are nothing new, but 2024 will be the first U.S. presidential election in which sophisticated AI tools that can produce convincing fakes in seconds are just a few clicks away.

The fabricated images, videos and audio clips known as deepfakes have started making their way into experimental presidential campaign ads. More sinister versions could easily spread without labels on social media and fool people days before an election, Etzioni said.

You could see a political candidate like President Biden being rushed to a hospital, he said. You could see a candidate saying things that he or she never actually said. You could see a run on the banks. You could see bombings and violence that never occurred.

High-tech fakes already have affected elections around the globe, said Larry Norden, senior director of the elections and government program at the Brennan Center for Justice. Just days before Slovakias recent elections, AI-generated audio recordings impersonated a liberal candidate discussing plans to raise beer prices and rig the election. Fact-checkers scrambled to identify them as false, but they were shared as real across social media regardless.

These tools might also be used to target specific communities and hone misleading messages about voting. That could look like persuasive text messages, false announcements about voting processes shared in different languages on WhatsApp, or bogus websites mocked up to look like official government ones in your area, experts said.

Faced with content that is made to look and sound real, everything that weve been wired to do through evolution is going to come into play to have us believe in the fabrication rather than the actual reality, said misinformation scholar Kathleen Hall Jamieson, director of the Annenberg Public Policy Center at the University of Pennsylvania.

Republicans and Democrats in Congress and the Federal Election Commission are exploring steps to regulate the technology, but they havent finalized any rules or legislation. Thats left states to enact the only restrictions so far on political AI deepfakes.

A handful of states have passed laws requiring deepfakes to be labeled or banning those that misrepresent candidates. Some social media companies, including YouTube and Meta, which owns Facebook and Instagram, have introduced AI labeling policies. It remains to be seen whether they will be able to consistently catch violators.

It was just over a year ago that Elon Musk bought Twitter and began firing its executives, dismantling some of its core features and reshaping the social media platform into whats now known as X.

Since then, he has upended its verification system, leaving public officials vulnerable to impersonators. He has gutted the teams that once fought misinformation on the platform, leaving the community of users to moderate itself. And he has restored the accounts of conspiracy theorists and extremists who were previously banned.

The changes have been applauded by many conservatives who say Twitters previous moderation attempts amounted to censorship of their views. But pro-democracy advocates argue the takeover has shifted what once was a flawed but useful resource for news and election information into a largely unregulated echo chamber that amplifies hate speech and misinformation.

Twitter used to be one of the most responsible platforms, showing a willingness to test features that might reduce misinformation even at the expense of engagement, said Jesse Lehrich, co-founder of Accountable Tech, a nonprofit watchdog group.

Obviously now theyre on the exact other end of the spectrum, he said, adding that he believes the companys changes have given other platforms cover to relax their own policies. X didnt answer emailed questions from The Associated Press, only sending an automated response.

In the run-up to 2024, X, Meta and YouTube have together removed 17 policies that protected against hate and misinformation, according to a report from Free Press, a nonprofit that advocates for civil rights in tech and media.

In June, YouTube announced that while it would still regulate content that misleads about current or upcoming elections, it would stop removing content that falsely claims the 2020 election or other previous U.S. elections were marred by widespread fraud, errors or glitches. The platform said the policy was an attempt to protect the ability to openly debate political ideas, even those that are controversial or based on disproven assumptions.

Lehrich said even if tech companies want to steer clear of removing misleading content, there are plenty of content-neutral ways platforms can reduce the spread of disinformation, from labeling months-old articles to making it more difficult to share content without reviewing it first.

X, Meta and YouTube also have laid off thousands of employees and contractors since 2020, some of whom have included content moderators.

The shrinking of such teams, which many blame on political pressure, sets the stage for things to be worse in 2024 than in 2020, said Kate Starbird, a misinformation expert at the University of Washington.

Meta explains on its website that it has some 40,000 people devoted to safety and security and that it maintains the largest independent fact-checking network of any platform. It also frequently takes down networks of fake social media accounts that aim to sow discord and distrust.

No tech company does more or invests more to protect elections online than Meta not just during election periods but at all times, the posting says.

Ivy Choi, a YouTube spokesperson, said the platform is heavily invested in connecting people to high-quality content on YouTube, including for elections. She pointed to the platforms recommendation and information panels, which provide users with reliable election news, and said the platform removes content that misleads voters on how to vote or encourages interference in the democratic process.

The rise of TikTok and other, less regulated platforms such as Telegram, Truth Social and Gab, also has created more information silos online where baseless claims can spread. Some apps that are particularly popular among communities of color and immigrants, such as WhatsApp and WeChat, rely on private chats, making it hard for outside groups to see the misinformation that may spread.

Im worried that in 2024, were going to see similar recycled, ingrained false narratives but more sophisticated tactics, said Roberta Braga, founder and executive director of the Digital Democracy Institute of the Americas. But on the positive side, I am hopeful there is more social resilience to those things.

Trumps front-runner status in the Republican presidential primary is top of mind for misinformation researchers who worry that it will exacerbate election misinformation and potentially lead to election vigilantism or violence.

The former president still falsely claims to have won the 2020 election.

Donald Trump has clearly embraced and fanned the flames of false claims about election fraud in the past, Starbird said. We can expect that he may continue to use that to motivate his base.

Without evidence, Trump has already primed his supporters to expect fraud in the 2024 election, urging them to intervene to guard the vote to prevent vote rigging in diverse Democratic cities. Trump has a long history of suggesting elections are rigged if he doesnt win and did so before voting in 2016 and 2020.

That continued wearing away of voter trust in democracy can lead to violence, said Bret Schafer, a senior fellow at the nonpartisan Alliance for Securing Democracy, which tracks misinformation.

If people dont ultimately trust information related to an election, democracy just stops working, he said. If a misinformation or disinformation campaign is effective enough that a large enough percentage of the American population does not believe that the results reflect what actually happened, then Jan. 6 will probably look like a warm-up act.

Election officials have spent the years since 2020 preparing for the expected resurgence of election denial narratives. Theyve dispatched teams to explain voting processes, hired outside groups to monitor misinformation as it emerges and beefed up physical protections at vote-counting centers.

In Colorado, Secretary of State Jena Griswold said informative paid social media and TV campaigns that humanize election workers have helped inoculate voters against misinformation.

This is an uphill battle, but we have to be proactive, she said. Misinformation is one of the biggest threats to American democracy we see today.

Minnesota Secretary of State Steve Simons office is spearheading #TrustedInfo2024, a new online public education effort by the National Association of Secretaries of State to promote election officials as a trusted source of election information in 2024.

His office also is planning meetings with county and city election officials and will update a Fact and Fiction information page on its website as false claims emerge. A new law in Minnesota will protect election workers from threats and harassment, bar people from knowingly distributing misinformation ahead of elections and criminalize people who non-consensually share deepfake images to hurt a political candidate or influence an election.

We hope for the best but plan for the worst through these layers of protections, Simon said.

In a rural Wisconsin county north of Green Bay, Oconto County Clerk Kim Pytleski has traveled the region giving talks and presentations to small groups about voting and elections to boost voters trust. The county also offers equipment tests in public so residents can observe the process.

Being able to talk directly with your elections officials makes all the difference, she said. Being able to see that there are real people behind these processes who are committed to their jobs and want to do good work helps people understand we are here to serve them.

Fernando reported from Chicago. Associated Press writer Christina A. Cassidy in Atlanta contributed to this report.

The Associated Pressreceives support from several private foundations to enhance its explanatory coverage of elections and democracy. See more about APs democracy initiative here. The AP is solely responsible for all content.

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Apple’s iPhone designer is leaving to work with Jony Ive and Sam Altman on AI hardware – Engadget

Apple's designer exodus continues as product design chief Tang Tan is leaving the company and joining Jony Ive's design firm LoveFrom, according to Bloomberg's Mark Gurman. There, he'll reportedly work on a new artificial intelligence hardware project backed by OpenAI's Sam Altman with aim of creating devices deploying the latest deep learning technology.

Tan was in charge of design for Apple's main products including the iPhone, Watch and AirPods, so his departure leaves a sizable hole. As part of LoveFrom, Tan will act as hardware design lead for the new AI project, with Altman providing the software running underneath. All products are supposedly in the early concept phases, with a focus on devices for the home. None of the parties (OpenAI, LoveFrom or Apple) have commented on the news.

It was already known that Tan would be likely be leaving Apple, but it hadn't yet been revealed where he'd go. Earlier this year, Jony Ive's successor Evans Hankey left the company after just a few years in the product design chief role. In all, about 14 members of Ive's former team have left Apple since 2019, with only a half dozen or so remaining. Ive worked as a consultant for Apple until 2022, and more than 20 former Apple employees have joined Ive under LoveFrom.

Altman was recently fired (and then rehired) by OpenAI, in part because he was raising funds for other endeavors. One of those was the team-up with Ive to create AI hardware backed by Softbank, according to a previous Bloomberg report.

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These incredibly futuristic beehives have an AI robot beekeeper inside and it can even guard the hive or dispense … – The Cool Down

The Save the Bees slogan has created quite a buzz, and in a recent development in the campaign, it appears robots may be coming to the rescue.

Beekeeping is thousands of years old and plays a critical role in agriculture, as more than 130 agricultural crops and one-third of the food we eat in the United States are pollinated by bees.However, Save the Bees reports that bee populations have decreased by more than 50% in the past 75 years, while human populations have increased by over 130%. The Associated Press further states that nearly half (48%) of the colonies in the U.S. collapsed last year.

The loss of bees puts the entire global food supply at risk, and because of this, the race is on to save them. As reported by Axios, an AI-powered robotic hive created by Beewise could help beekeepers save honeybee colonies.

The BeeHome looks like a large filing cabinet and has room for up to 10 colonies that build honeycombs across multiple frames, as shown by a video on the companys YouTube page. In its central corridor, it has a robot that monitors the colonies 24/7 using computer vision, AI, and neural networks, as described by co-founder and CEO Saar Safra to WIPO Magazine.

The robot inspects the bees, then the AI tools convert the images to data. Analyzing this data allows any problems the bees might be experiencing to be identified, which then triggers the robot to address those issues.

If the AI detects mites, the robot moves the frames to a section of the box that heats each frame by 2 degrees an amount hot enough to kill the mites but not the bees. If AI sees the bees are hungry, the robot fills a food frame and places it beside the frame filled with hungry bees; if it senses pesticides entering the hive, the robot can close the entrances; and if it sees that the bees are sick, the robot will provide medicine to the hive.

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We havent changed traditional beekeeping in any way, Safra said. We simply do it with a robot in real time.

Apiarists Advocate points out that the AI technology allows beekeepers to reduce the number of hives needed to achieve the same pollination results, reducing their carbon footprint and resource consumption.

Others are also turning to robots in the face of mass bee die-offs, like researchers in Finland who have developed small, fairy-like robots that can fly, which could help pollinate vital crops across the globe.

Loss of bees is largely caused by human activity, with factors like rising temperatures, habitat loss, pesticides in agriculture and gardens, and disease all playing a role. We can give the bees a wing up by helping to slow Earths rapid overheating by changing the way we buy and use plastic, get around, and power our homes.

We can also help by changing how we plan and care for our yards, making them havens for pollinators like bees instead of chemically treated wastelands.

Join our free newsletter for weekly updates on the coolest innovations improving our lives and saving our planet.

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Will AI Kill SEO? We Asked ChatGPT (Festive Flashback) – Search Engine Journal

Celebrate the Holidays with some of SEJs best articles of 2023.

Our Festive Flashback series runs from December 21 January 5, featuring daily reads on significant events, fundamentals, actionable strategies, and thought leader opinions.

2023 has been quite eventful in the SEO industry and our contributors produced some outstanding articles to keep pace and reflect these changes.

Catch up on the best reads of 2023 to give you plenty to reflect on as you move into 2024

It happens every couple of years.

First, it was Jason Calacanis and Mahalo, then the early social platforms.

We saw it again with voice search and smart assistants. For a minute, it was TikToks turn. Then the metaverse jumped the line.

Now, its ChatGPT and AI.

Im talking, of course, about SEO killers.

Every now and then, a new technology comes along, and three things inevitably happen:

Rinse, repeat.

It would seem that search has more lives than a cartoon cat, but the simple truth is: Search is immortal.

How we search, what devices we use, and whether the answer is a link to a website will forever be up for debate.

But as long as users have tasks to complete, theyll turn somewhere for help, and digital marketers will influence the process.

Theres a ton of hype right now about AI replacing both search engines and search professionals I dont see that happening. I view ChatGPT as just another tool.

Much like a knife: You can butter bread or cut yourself. Its all in how you use it.

Will AI replace search engines? Lets ask it ourselves!

Thats a pretty good answer.

Many SEO professionals (including me) have been saying for years that the days of tricking the algorithm are long gone.

SEO has been slowly morphing into digital marketing for a long time now. Its no longer possible to do SEO without considering user intent, personas, use cases, competitive research, market conditions, etc.

Ok, but wont AI just do that for us? Is AI going to take my job? Heres a crazy idea: Lets ask ChatGPT!

Why? Lets dive in.

I still see a lot of SEO pros writing articles that ask AI to do things its simply incapable of and this comes from a basic understanding of how large language models actually work.

AI tools, like ChatGPT, arent pulling any information from a database of facts. They dont have an index or a knowledge graph.

They dont store information the way a search engine does. Theyre simply predicting what words or sentences will come next based on the material theyve been trained on. They dont store this training material, though.

Theyre using word vectors to determine what words are most likely to come next. Thats why they can be so good and also hallucinate.

AI cant crawl the internet. It has no knowledge of current events and cant cite sources because it doesnt know or retain that information. Sure, you can ask it to cite sources, but its really just making stuff up.

For really popular topics that were discussed a lot, it can get pretty close because the probabilities of those words coming next are really high but the more specific you get, the more it will hallucinate.

Given the extreme amount of time and resources it takes to train the model, it will be a long time before AI can answer any queries about current events.

Yes and no. They can cite sources, but thats based on how theyre implementing it. To vastly oversimplify, Bing isnt asking for a pure chatbot.

Bing is searching for your query/keyword. It then feeds in all the webpages that it would normally return for that search and asks the AI to summarize those webpages.

You and I cant do that on the public-facing AI tools without hitting token limits, but search engines can!

I disagree.

All the way back in 2009 (when we were listening to the Black Eyed Peas on our iPhone 3Gs and updating our MySpace top 8 on Windows Vista), a search engine once called Live was being renamed to Bing.

Why? Because Bing is a verb. This prompted Bill Gates to declare, The future of search is verbs.

I love to share this quote with clients every chance I get because that future is now.

Gates wasnt talking about people typing action words into search engines. He meant that people are trying to do something, and the job of search is to help facilitate that.

People often forget that search is a form of pull marketing, where users tell us what they want not push marketing like a billboard or a TV ad.

As digital marketers, our job is simple: Give users what they want.

This is where the confusion comes in, though.

For many queries that have simple answers, a link to a website with a popup cookie policy, notification alert, newsletter sign-up popup, and ads were never what the user wanted.

Its just the best thing we had back then. Search engines never set out with the end goal of providing links to websites. They set out to answer questions and help users accomplish tasks.

Even from the earliest days, Google talked about how its goal was to be the Star Trek computer; it just didnt have the technology to do it then. Now, it does.

For many of these queries, like [how old is Taylor Swift?] or [how many megabytes in a gigabyte?], websites will lose traffic but its traffic they were probably never entitled to.

Who owns that answer anyway? These are questions with simple answers. The users task is simply to get a number. They dont want a website.

Smart SEO pros will focus on the type of queries where a user wants to do something like buy Taylor Swift tickets, get reviews of her album or concerts, chat with other Swifties, etc. Thats where AI wont be able to kill SEO or search.

ChatGPT can accomplish a lot of things.

Its good at showing me how to write an Excel formula or MySQL query, but it will never teach me MySQL, sell me a course, or let me talk with other developers about database theory.

Those are things a search engine can help me do.

ChatGPT can also help answer many common knowledge questions, as long as the topic isnt contested and is old and popular enough to have shown up in the training data.

Even then, its still not 100% accurate as weve seen in countless memes and with one famous bank being called out for its AI-written article not knowing how to calculate interest properly.

AI might list the most talked about bars in NYC, but it cant recommend the best place to get an Old Fashioned like a human can.

Honestly, all SEO pros talking about using AI to create content are starting to bore me. Answering questions is neat, but where ChatGPT really excels is in text manipulation.

At my agency, were already using ChatGPTs API as an SEO tool to help create content briefs, categorize and cluster keywords, write complicated regular expressions for redirects, and even generate XML or JSON-LD code based on given inputs.

These rely on tons of inputs from various sources and require lots of manual reviews.

Were not using it to create content, though. Were using it to summarize and examine other pieces of content and then use those to glean insights. Its less of an SEO replacement and more of a time saver.

What if your business is built around displaying facts you dont really own? If so, you should probably be worried not just about AI.

Boilerplate copy tasks may be handled by AI. Recent tests Ive done on personal sites have shown some success here.

But AI will never be capable of coming up with insights or creating new ideas, staying on top of the latest trends, or providing the experience, expertise, authority, or trust that a real author can.

Remember: Its not thinking, citing, or even pulling data from a database. Its just looking at the next-word probabilities.

Unlike thousands of SEO pros who recently updated their Twitter bios, I may not be an expert on AI, but I have a computer science degree. I also know what it takes to understand user needs.

So far, no data shows people would prefer auto-generated, re-worded content over unique curated content written by a real human being.

People want fresh ideas and insights that only people can provide. (If we add an I to E-E-A-T, where should it go?)

If your business or content delivers value through insights, curation, current trends, recommendations, solving problems, or performing an action, then SEO and search engines arent going anywhere.

They may change shape from time to time, but that just means job security for me and Im good with that.

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Featured Image: Elnur/Shutterstock

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Here are 3 stocks other than Nvidia getting an AI premium from Wall Street – CNBC

Lisa Su, president and CEO of AMD, during an interview with Mad Money, broadcasting from CNBC's San Francisco bureau on November 21, 2019.

Jacob Jimenez | CNBC

While Nvidia sucked up the bulk of the profits net income through the first three quarters of the year jumped sixfold from 2022 it wasn't the only stock that attracted Wall Street's attention in the race to make money from artificial intelligence.

Software vendors CrowdStrike, HubSpot and Salesforce all at least doubled this year, far outperforming the Nasdaq, which was up 43% as of Friday's close. Those companies got a boost after announcing enhancements that draw on generative AI.

But when it comes to the hardware and infrastructure underlying the advancements in AI and ensuring that there's enough capacity going forward, investors are looking at who, other than Nvidia, stands to gain. The iShares Semiconductor ETF has rallied 64% this year. The data center is another source of optimism, and a few cloud service providers are positioned to win business as organizations boost spending on technology to help them run generative AI services.

Here are three other stocks gaining momentum due to the generative AI wave:

As the company whose technology is viewed as most likely to challenge Nvidia's AI chip monopoly, Advanced Micro Devices has a big cheering section in the software developer community. The stock is up 116% for the year as of Friday's close.

AMD just launched its MI300X AI processors, pursuing a market for AI chips that CEO Lisa Su projects will climb to $400 billion over the next four years. Meta announced in December its plans to use the new processors, and Microsoft is also a committed customer.

Su pointed to performance advantages in comparison with Nvidia's H100 chip.

"AMD remains extremely well positioned to take advantage of the rapidly expanding AI TAM, as they continue to stack up customer partnerships and roll out products with impressive (and extremely competitive) performance metrics," Deutsche Bank analysts wrote in a note to clients after the announcement earlier this month.

The stock rose rose almost 10% the day after the launch.

Since its public market debut almost a decade ago, Arista has been gaining on Cisco in the market for data center networking gear. Excitement around its position in AI helped push the stock up 96% this year.

President and CEO of Arista Networks, Jayshree Ullal.

Scott Mlyn | CNBC

In October, Arista added AI to a key customer segment so it's now called Cloud and AI Titans. More than 40% of the company's 2022 revenue came from Meta and Microsoft. The following month, Arista CEO Jayshree Ullal announced a goal of $750 million in 2025 AI networking revenue, prompting Citi analysts to lift their price target on the stock to $300 from $220.

Companies have been choosing Arista hardware to connect their GPUs to the internet. As models get bigger and workloads more complex, Arista has an opportunity to connect GPUs to one another to help scale the technology.

Arista executives see a moderation in enterprise spending in 2024 after years of cloud expansion, with organizations testing out systems before making large-scale AI deployments that could start in 2025.

For years, Cloudflare has ensured that online content can be quickly served up to end users by creating a global network of data centers that protects websites from attempted takedowns.

One key customer is OpenAI. When a user attempts to access OpenAI, Cloudflare's technology verifies that it's a person and not a bot on the other end. The company is now aiming to become part of the fabric for running AI models and ensuring rapid response. In September, the company announced a service called Workers AI, which runs on Nvidia's GPUs and will be spread across 100 cities.

"With a consumption pricing model, these services could drive meaningful upside to revenue as adoption ramps through 2024," Morgan Stanley analysts, who have the equivalent of a hold rating on the stock, wrote in a November report.

Cloudflare shares have jumped 87% so far in 2023.

WATCH: Nvidia is the cheapest AI play out there, top Bernstein analyst says

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