Connect with us

Published

on

Baidu CEO Robin Li speaks during the company’s Create conference in Shenzhen, China, on April 16, 2024.

Bloomberg | Bloomberg | Getty Images

SHENZHEN, China – One year after Chinese search engine operator Baidu released its ChatGPT-like Ernie bot, the company this week announced tools to encourage locals to develop artificial intelligence applications.

“In China today, there are 1 billion internet users, strong foundation models, sufficient AI application scenarios and the most complete industrial system in the world,” CEO Robin Li said in his opening speech at Baidu’s annual AI developers conference on Tuesday.

“Everyone can be a developer,” he said in Mandarin, according to a CNBC translation.

While many point out how China lags behind the U.S. in artificial intelligence capabilities, others emphasize how the strength of the Chinese market lies more in technological application. Take next-day e-commerce and 30-minute food delivery, for example.

Baidu’s newly announced AI tools allow people with no coding knowledge to create generative AI-powered chatbots for specific functions, which can then be integrated in a website, Baidu search engine results or other online portals. That’s different from a similar tool called GPTs that OpenAI launched earlier this year, since those custom-built chatbots — for everything from suggesting movies to fixing code — sit within the ChatGPT interface.

Expect AI to become as universal as email: HSBC

The basic Baidu tools are generally available to try for free, up until a certain usage limit, similar to some of Google’s cloud and AI functions. OpenAI charges a monthly fee for the latest version of ChatGPT and the ability to use it for computer programs. The older ChatGPT 3.5 model is free to use, but without access to the custom-built GPTs.

Baidu this week also announced three new versions of its Ernie AI model — called “Speed,” “Lite” and “Tiny” — that coders can selectively access, based on the complexity of the task.  

“It feels like their focus is on building the entire native AI development ecosystem, providing a full set of development tools and platform solutions,” said Bo Du, managing director at WestSummit Capital Management. That’s according to a CNBC translation of the Chinese remarks.

Baidu said this week that Ernie bot has accumulated more than 200 million users since its launch in March last year, and that computer programs are accessing the underlying AI model 200 million times a day. The company said more than 85,000 business clients have used its AI cloud platform to create 190,000 AI applications.

How the tech is being used

Many of the use cases Baidu showed off this week centered on consumer-facing applications: tourism and creation of content such as picture books and scheduling meetings.

In a demonstration hall, Baidu business departments showed off how the AI tools could be integrated with virtual people doing livestreams, or directing search engine traffic to an AI-based interactive buying guide.

Buysmart.AI, which won Baidu’s AI competition last year, uses the tech for an online shopping assistant connected to Chinese social media platform Weibo. The startup said it is using ChatGPT for a standalone interactive e-commerce app in the U.S.

“Personally I think that Ernie 4.0 has a better grasp of Chinese than ChatGPT 3.5,” Buysmart.AI co-founder Andy Qiu said in an interview. That’s according to a CNBC translation of his Mandarin-language remarks.

Consumers in the U.S. are currently more interested in AI products than users in China are, Qiu said. But he said that overall there is still room for improvement when it comes to building consumers’ trust of AI assistants and convincing users to place an order.

Also on display was a humanoid robot developed by Shenzhen-based UBTech Robotics that used Baidu’s Ernie AI model for understanding commands and reading written words.

It’s not immediately clear how such AI applications can significantly change business at this point. But Baidu is the latest to roll out more tools for people to experiment more easily and cheaply with.

Customer service, voice assistants and internet-connected devices can use smaller AI models to respond quickly to users, pointed out Helen Chai, managing director at CIC Consulting.

She added that in scenarios such as legal consultation or medical diagnosis, small AI models can be trained on specific data to achieve performance that’s comparable to larger AI models.

In the future, big AI-based applications will be based on a mixture of models, Baidu CEO Li said, using the technical term of “mixture of experts” or MoE.

He also promoted Baidu’s capabilities in AI-produced code, one of the areas in which Silicon Valley tech companies see the most potential for generative AI.

Baidu said since it deployed its “Comate” AI coding assistant a year ago, the tool has contributed to 27% of the tech company’s newly generated code. Audio streaming app Ximalaya, IT services company iSoftStone and Shanghai Mitsubishi Elevator are among more than 10,000 corporate Comate users, and have adopted nearly half of the code the tool generates, according to Baidu.

The global rush for developing generative AI has created a shortage in the semiconductors needed to provide the computing power. Chinese companies face added constraints due to U.S. restrictions on chip exports.

Baidu did not specifically discuss a shortage in computing power during the main conference session. In his speech, Dou Shen, head of AI cloud at Baidu, noted “uncertainties” in the chip supply chain and announced that Baidu has a platform that can access the power of several different kinds of chips.

Back in February, Li said on an earnings call that Baidu’s AI chip reserve “enables us to continue enhancing Ernie for the next one or two years.” The company is set to release first-quarter results on May 16.

Continue Reading

Technology

Americans are heating their homes with bitcoin this winter

Published

on

By

Americans are heating their homes with bitcoin this winter

As winter’s chill settles in across the U.S., and electricity bills become a bigger budgeting issue, most Americans will rely on their usual sources of warmth, such as home heating oil, natural gas, and electric furnaces. But in a few cases, crypto is generating the heat, and if some of the nascent crypto heat industry’s proponents are correct, someday its use as a source within homes and buildings will be much more widespread.

Let’s start with the basics: the computing power of crypto mining generates a lot of heat, most which just ends up vented into the air. According to digital assets brokerage, K33, the bitcoin mining industry generates about 100 TWh of heat annually — enough to heat all of Finland. This energy waste within a very energy-intense industry is leading entrepreneurs to look for ways to repurpose the heat for homes, offices, or other locations, especially in colder weather months.

During a frigid snap earlier this year, The New York Times reviewed HeatTrio, a $900 space heater that also doubles as a bitcoin mining rig. Others use the heat from their own in-home cryptocurrency mining to spread warmth throughout their house.

“I’ve seen bitcoin rigs running quietly in attics, with the heat they generate rerouted through the home’s ventilation system to offset heating costs. It’s a clever use of what would otherwise be wasted energy,” said Jill Ford, CEO of Bitford Digital, a sustainable bitcoin mining company based in Dallas. “Using the heat is another example of how crypto miners can be energy allies if you apply some creativity to their potential,” Ford said.

It’s not necessarily going to save someone money on their electric bill — the economics will vary greatly from place to place and person to person, based on factors including local electricity rates and how fast a mining machine is — but the approach might make money to offset heating costs.

“Same price as heating the house, but the perk is that you are mining bitcoin,” Ford said.

A single mining machine — even an older model — is sufficient. Solo miners can join mining pools to share computing power and receive proportional payouts, making returns more predictable and changing the economic equation.  

“The concept of using crypto mining or GPU compute to heat homes is clever in theory because almost all the energy consumed by computation is released as heat,” said Andrew Sobko, founder of Argentum AI, which is creating a marketplace for the sharing of computing power. But he added that the concept makes the most sense in larger settings, particularly in colder climates or high-density buildings, such as data centers, where compute heat shows real promise as a form of industrial-scale heat recapture.

To make it work — it’s not like you can transport the heat somewhere by truck or train — you have to identity where the computing heat is needed and route it to that place, such as co-locating GPUs in environments from industrial parks to residential buildings.

“We’re working with partners who are already redirecting compute heat into building heating systems and even agricultural greenhouse warming. That’s where the economics and environmental benefits make real sense,” Sobko said. “Instead of trying to move the heat physically, you move the compute closer to where that heat provides value,” he added.

Why skeptics say crypto home heating won’t work

There are plenty of skeptics.

Derek Mohr, clinical associate professor at the University of Rochester Simon School of Business, does not think the future of home heating lies in crypto and says even industrial crypto is problematic.

Bitcoin mining is so specialized now that a home computer, or even network of home computers, would have almost zero chance of being helpful in mining a block of bitcoin, according to Mohr, with mining farms use of specialized chips that are created to mine bitcoin much faster than a home computer.

“While bitcoin mining at home — and in networks of home computers — was a thing that had small success 10 years ago, it no longer is,” Mohr said.

“The bitcoin heat devices I have seen appear to be simple space heaters that use your own electricity to heat the room … which is not an efficient way to heat a house,” he said. “Yes, bitcoin mining generates a lot of heat, but the only way to get that to your house is to use your own electricity,” Mohr said.

He added that while running your computer non-stop would generate heat, it has a very low probability of successfully mining a bitcoin block.

“In my opinion, this is not a real opportunity that will work. Instead it is taking advantage of things people have heard of — excess heat from bitcoin mining and profits from mining — and is giving false hope that there is a way for an individual to benefit from this,” Mohr said.

But some experts say more widespread use of plug-and-play, free-standing mining rigs, might make the concept viable in more locations over time. In the least, they say it is worth studying the dual use economic and environmental benefits based on the underlying fact that crypto mining generates significant heat as a byproduct of the computer processing.

“How can we capture the excess heat from the operation to power something else? That could range from heating a home to warming water, even in a swimming pool. As a result, your operating efficiency is higher on your power consumption,” said Nikki Morris, the executive director of the Texas Christian University Ralph Lowe Energy Institute.

She says the concept of crypto heating is still in its earliest stages, and most people don’t yet understand how it works or what the broader implications could be. “That’s part of what makes it so interesting. At Texas Christian University, we see opportunities to help people build both the vocabulary and the business use feasibility with industry partners,” Morris said.

Because crypto mining produces a digital asset that can be traded, it introduces a new source of revenue from power consumption, and the power source could be anything from the grid to natural gas to solar to wind or battery generation, according to Morris. She cited charging an electric vehicle at mixed-use buildings or apartment complexes as an example.

“Picture a similar scenario where an apartment complex’s crypto mining setup produces both digital currency and usable heat energy. That opens the door to distributed energy innovation to a broader stakeholder base, an approach that could complement existing heating systems and renewable generation strategies,” Morris said.

There are many questions to explore, including efficiency at different scales, integration with other energy sources, regulatory considerations, and overall environmental impact, “but as these technologies evolve, it’s worth viewing crypto heating not just as a curiosity, but as a small window into how digital and physical energy systems might increasingly converge in the future,” Morris said.

Testing bitcoin heat in the real world

The crypto-heated future may be unfolding in the town of Challis, Idaho, where Cade Peterson’s company, Softwarm, is repurposing bitcoin heat to ward off the winter.

Several shops and businesses in town are experimenting with Softwarm’s rigs to mine and heat. At TC Car, Truck and RV Wash, Peterson says, the owner was spending $25 a day to heat his wash bays to melt snow and warm up the water.

“Traditional heaters would consume energy with no returns. They installed bitcoin miners and it produces more money in bitcoin than it costs to run,” Peterson said. Meanwhile, an industrial concrete company is offsetting its $1,000 a month bill to heat its 2,500-gallon water tank by heating it with bitcoin.

Peterson has heated his own home for two-and-a-half years using bitcoin mining equipment and believes that heat will power almost everything in the future. “You will go to Home Depot in a few years and buy a water heater with a data port on it and your water will be heated with bitcoin,” Peterson said. 

Continue Reading

Technology

These underperforming groups may deliver AI-electric appeal. Here’s why.

Published

on

By

These underperforming groups may deliver AI-electric appeal. Here's why.

Reshoring and infrastructure products could be the next ETF play after AI, say ETF experts

Industrial and infrastructure stocks may soon share the spotlight with the artificial intelligence trade.

According to ETF Action’s Mike Atkins, there’s a bullish setup taking shape due to both policy and consumer trends. His prediction comes during a volatile month for Big Tech and AI stocks.

“You’re seeing kind of the old-school infrastructure, industrial products that have not done as well over the years,” the firm’s founding partner told CNBC’s “ETF Edge” this week. “But there’s a big drive… kind of away from globalization into this reshoring concept, and I think that has legs.”

Global X CEO Ryan O’Connor is also optimistic because the groups support the AI boom. His firm runs the Global X U.S. Infrastructure Development ETF (PAVE), which tracks companies involved in construction and industrial projects.

“Infrastructure is something that’s near and dear to our heart based off of PAVE, which is our largest ETF in the market,” said O’Connor in the same interview. “We think some of these reshoring efforts that you can get through some of these infrastructure places are an interesting one.”

The Global X’s infrastructure exchange-traded fund is up 16% so far this year, while the VanEck Semiconductor ETF (SMH), which includes AI bellwethers Nvidia, Taiwan Semiconductor and Broadcom, is up 42%, as of Friday’s close.

Both ETFs are lower so far this month — but Global X’s infrastructure ETF is performing better. Its top holdings, according to the firm’s website, are Howmet Aerospace, Quanta Services and Parker Hannifin.

Supporting the AI boom

He also sees electrification as a positive driver.

“All of the things that are going to be required for us to continue to support this AI boom, the electrification of the U.S. economy, is certainly one of them,” he said, noting the firm’s U.S. Electrification ETF (ZAP) gives investors exposure to them. The ETF is up almost 24% so far this year.

The Global X U.S. Electrification ETF is also performing a few percentage points better than the VanEck Semiconductor ETF for the month.

Disclaimer

Continue Reading

Technology

How tariffs and AI are giving secondhand platforms like ThredUp a boost

Published

on

By

How tariffs and AI are giving secondhand platforms like ThredUp a boost

At ThredUp‘s 600,000-square-foot warehouse in Suwanee, Georgia, roughly 40,000 pieces of used clothing are processed each day. The company’s logistics network — four facilities across the U.S. — now rivals that of some fast-fashion giants.

“This is the largest garment-on-hanger system in the world,” said Justin Pina, ThredUp’s senior director of operations. “We can hold more than 3.5 million items here.”

Secondhand shopping is booming. The global secondhand apparel market is expected to reach $367 billion by 2029, growing almost three times faster than the overall apparel market, according to GlobalData.

President Donald Trump’s tariffs were billed as a way to bring manufacturing back home. But the measures hit one of America’s most import-dependent industries: fashion.

About 97 percent of clothing sold in the U.S. is imported, mostly from China, Vietnam, Bangladesh and India, according to the American Apparel and Footwear Association.

For years, Gen Z shoppers have been driving the rise of secondhand fashion, but now more Americans are catching on.

“When tariffs raise those costs, resale platforms suddenly look like the smart buy. This isn’t just a fad,” said Jasmine Enberg, co-CEO of Scalable. “Tariffs are accelerating trends that were already reshaping the way Americans shop.”

For James Reinhart, ThredUp’s CEO, the company is already seeing it play out.

“The business is free-cash-flow positive and growing double digits,” said Reinhart. “We feel really good about the economics, gross margins near 80% and operations built entirely within the U.S.”

ThredUp reported that revenue grew 34% year over year in the third quarter. The company also said it acquired more new customers in the quarter than at any other time in its history, with new buyer growth up 54% from the same period last year.

“If tariffs add 20% to 30% to retail prices, that’s a huge advantage for resale,” said Dylan Carden, research analyst at William Blair & Company. “Pre-owned items aren’t subject to those duties, so demand naturally shifts.”

Inside the ThredUp warehouse, where CNBC got a behind-the-scenes look. automation hums alongside human workers. AI systems photograph, categorize, and price thousands of garments per hour. For Reinhart, the technology is key to scaling resale like retail.

“AI has really accelerated adoption,” said Reinhart. “It’s helping us improve discovery, styling, and personalization for buyers.”

That tech wave extends beyond ThredUp. Fashion-tech startups Phia, co-founded by Phoebe Gates and Sophia Kianni, is using AI to scan thousands of listings across retail and resale in seconds.

“The fact that we’ve driven millions in transaction volume shows how big this need is,” Gates said. “People want smarter, cheaper ways to shop.”

ThredUp is betting that domestic infrastructure, automation, and AI will keep it ahead of the curve, and that tariffs meant to revive U.S. manufacturing could end up powering a new kind of American fashion economy.

“The future of fashion will be more sustainable than it is today,” said Reinhart. “And secondhand will be at the center of it.”

Watch the video to learn more.

Continue Reading

Trending