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DeepSeek: Everything you need to know about the AI chatbot app

DeepSeek has gone viral.

Chinese AI lab DeepSeek broke into the mainstream consciousness this week after its chatbot app rose to the top of the Apple App Store charts (and Google Play, as well). DeepSeek’s AI models, which were trained using compute-efficient techniques, have led Wall Street analysts — and technologists — to question whether the U.S. can maintain its lead in the AI race and whether the demand for AI chips will sustain.

But where did DeepSeek come from, and how did it rise to international fame so quickly?

DeepSeek’s trader origins

DeepSeek is backed by High-Flyer Capital Management, a Chinese quantitative hedge fund that uses AI to inform its trading decisions.

AI enthusiast Liang Wenfeng co-founded High-Flyer in 2015. Wenfeng, who reportedly began dabbling in trading while a student at Zhejiang University, launched High-Flyer Capital Management as a hedge fund in 2019 focused on developing and deploying AI algorithms.

In 2023, High-Flyer started DeepSeek as a lab dedicated to researching AI tools separate from its financial business. With High-Flyer as one of its investors, the lab spun off into its own company, also called DeepSeek.

From day one, DeepSeek built its own data center clusters for model training. But like other AI companies in China, DeepSeek has been affected by U.S. export bans on hardware. To train one of its more recent models, the company was forced to use Nvidia H800 chips, a less-powerful version of a chip, the H100, available to U.S. companies.

DeepSeek’s technical team is said to skew young. The company reportedly aggressively recruits doctorate AI researchers from top Chinese universities. DeepSeek also hires people without any computer science background to help its tech better understand a wide range of subjects, per The New York Times.

DeepSeek’s strong models

DeepSeek unveiled its first set of models — DeepSeek Coder, DeepSeek LLM, and DeepSeek Chat — in November 2023. But it wasn’t until last spring, when the startup released its next-gen DeepSeek-V2 family of models, that the AI industry started to take notice.

DeepSeek-V2, a general-purpose text- and image-analyzing system, performed well in various AI benchmarks — and was far cheaper to run than comparable models at the time. It forced DeepSeek’s domestic competition, including ByteDance and Alibaba, to cut the usage prices for some of their models, and make others completely free.

DeepSeek-V3, launched in December 2024, only added to DeepSeek’s notoriety.

According to DeepSeek’s internal benchmark testing, DeepSeek V3 outperforms both downloadable, openly available models like Meta’s Llama and “closed” models that can only be accessed through an API, like OpenAI’s GPT-4o.

Equally impressive is DeepSeek’s R1 “reasoning” model. Released in January, DeepSeek claims R1 performs as well as OpenAI’s o1 model on key benchmarks.

Being a reasoning model, R1 effectively fact-checks itself, which helps it to avoid some of the pitfalls that normally trip up models. Reasoning models take a little longer — usually seconds to minutes longer — to arrive at solutions compared to a typical non-reasoning model. The upside is that they tend to be more reliable in domains such as physics, science, and math.

There is a downside to R1, DeepSeek V3, and DeepSeek’s other models, however. Being Chinese-developed AI, they’re subject to benchmarking by China’s internet regulator to ensure that its responses “embody core socialist values.” In DeepSeek’s chatbot app, for example, R1 won’t answer questions about Tiananmen Square or Taiwan’s autonomy.

A disruptive approach

If DeepSeek has a business model, it’s not clear what that model is, exactly. The company prices its products and services well below market value — and gives others away for free.

The way DeepSeek tells it, efficiency breakthroughs have enabled it to maintain extreme cost competitiveness. Some experts dispute the figures the company has supplied, however.

Whatever the case may be, developers have taken to DeepSeek’s models, which aren’t open source as the phrase is commonly understood but are available under permissive licenses that allow for commercial use. According to Clem Delangue, the CEO of Hugging Face, one of the platforms hosting DeepSeek’s models, developers on Hugging Face have created over 500 “derivative” models of R1 that have racked up 2.5 million downloads combined.

DeepSeek’s success against larger and more established rivals has been described as “upending AI” and “over-hyped.” The company’s success was at least in part responsible for causing Nvidia’s stock price to drop by 18% in January, and for eliciting a public response from OpenAI CEO Sam Altman.

Microsoft announced that DeepSeek is available on its Azure AI Foundry service, Microsoft’s platform that brings together AI services for enterprises under a single banner. When asked about DeepSeek’s impact on Meta’s AI spending during its first-quarter earnings call, CEO Mark Zuckerberg said spending on AI infrastructure will continue to be a “strategic advantage” for Meta.

During Nvidia’s fourth-quarter earnings call, CEO Jensen Huang emphasized DeepSeek’s “excellent innovation,” saying that it and other “reasoning” models are great for Nvidia because they need so much more compute.

At the same time, some companies are banning DeepSeek, and so are entire countries and governments, including South Korea. New York state also banned DeepSeek from being used on government devices.

As for what DeepSeek’s future might hold, it’s not clear. Improved models are a given. But the U.S. government appears to be growing wary of what it perceives as harmful foreign influence.

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This story was originally published January 28, 2025, and will be updated regularly.

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SaaS in, SaaS out: Here’s what’s driving the SaaSpocalypse

One day not long ago, a founder texted his investor with an update: he was replacing his entire customer service team with Claude Code, an AI tool that can write and deploy software on its own. To Lex Zhao, an investor at One Way Ventures, the message indicated something bigger — the moment when companies like Salesforce stopped being the automatic default.

“The barriers to entry for creating software are so low now thanks to coding agents, that the build versus buy decision is shifting toward build in so many cases,” Zhao told TechCrunch. 

The build versus buy shift is only part of the problem. The whole idea of using AI agents instead of people to perform work throws into question the SaaS business model itself. SaaS companies currently price their software per seat — meaning by how many employees log in to use it. “SaaS has long been regarded as one of the most attractive business models due to its highly predictable recurring revenue, immense scalability, and 70-90% gross margins,” Abdul Abdirahman, an investor at the venture firm F-Prime, told TechCrunch.  

When one, or a handful, of AI agents can do that work — when employees simply ask their AI of choice to pull the data from the system — that per-seat model starts to break down.

The rapid pace of AI development also means that new tools, like Claude Code or OpenAI’s Codex, can replicate not just the core functions of SaaS products but also the add-on tools a SaaS vendor would sell to grow revenue from existing customers.

On top of that, customers now have the ultimate contract negotiation tool in their pockets: If they don’t like a SaaS vendor’s prices, they can, more easily than ever before, build their own alternative. “Even if they do not take the build route, this creates downward pressure on contracts that SaaS vendors can secure during renewals,” Abdirahman continued. 

We saw this as early as late 2024, when Klarna announced that it had ditched Salesforce’s flagship CRM product in favor of its own homegrown AI system. The realization that a growing number of other companies can do the same is spooking public markets, where the stock prices of SaaS giants like Salesforce and Workday have been sliding. In early February, an investor sell-off wiped nearly $1 trillion in market value from software and services stocks, followed by another billion later in the month.  

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Experts are calling it the SaaSpocalypse, with one analyst dubbing it FOBO investing — or fear of becoming obsolete.  

Yet the venture investors TechCrunch spoke with believe such fears are only temporary.  “This isn’t the death of SaaS,” Aaron Holiday, a managing partner at 645 Ventures, told TechCrunch. Rather, it’s the beginning of an old snake shedding its skin, he said. 

Move fast, break SaaS  

The public market pattern is best illustrated through Anthropic’s recent product launches. The company released Claude Code for cybersecurity, and related stocks dropped. It released legal tools in Claude Cowork AI, and the stock price of the iShares Expanded Tech-Software Sector ETF  — a basket of publicly traded software companies that includes firms like LegalZoom and RELX — also dropped.  

In some ways, this was expected, as SaaS companies had long been overvalued, investors said. It also doesn’t help that these companies did the bulk of their growing during the zero-interest-rate era, which has since ended. The cost of doing business rises when the cost of borrowing money increases. 

Public market investors typically price SaaS companies by estimating future revenue. But there is no telling whether in one year or five years anyone will be using SaaS products to the extent they once did. That’s why every time a new advanced AI tool launches, SaaS stocks feel a tremor.  

“This may be the first time in history that the terminal value of software is being fundamentally questioned, materially reshaping how SaaS companies are underwritten going forward,” Abdirahman said. 

That’s because slapping AI features on top of existing SaaS products may not be enough. A horde of AI-native startups is rising at a record pace, having completely redefined what it means to be a software company. 

Software is now easier and cheaper to build, meaning it’s easier to replicate, Yoni Rechtman, a partner at Slow Ventures, told TechCrunch.  

That’s good news for the next generation of startups, but bad news for the incumbents that spent years building their tech stacks.  

On the other hand, the market also lacks enough time and evidence to show that whatever new business model emerges the SaaS’s wake will be worthwhile. AI companies are sometimes pricing their models based on consumption, meaning customers pay based on how much AI they use, measured in tokens (which each model provider defines slightly differently).  

Others are working on “outcome-based pricing,” where fees are charged based on how well the AI actually works. This, ironically, is the current approach of former Salesforce CEO Bret Taylor’s AI startup, Sierra, a quasi-Salesforce competitor that offers customer service agents. 

The approach appears, so far, appears to be working. In November, Sierra hit $100 million in annual recurring revenue in less than two years.  

There was once also the idea that cloud-based software like SaaS sells would never depreciate and that it could last for decades. This is still true in some ways compared to what came before — on-premises software, which companies had to install and maintain on their own servers.

But being in the cloud doesn’t protect SaaS vendors from an entirely new technology rising to compete: AI. 

Investors are rightfully nervous as AI-native companies pop up, adapt, adopt, and build technology much faster than a traditional SaaS company can move. SaaS companies are, after all, themselves the incumbents, having replaced old-school on-premises vendors in the last era of disruption. 

This SaaSpocalypse calls to mind that Taylor Swift lyric about what happens when “someone else lights up the room” because “people love an ingénue.” 

“The most important thing to understand about the SaaS pullback is that it is simultaneously a real structural shift and potentially a market overreaction,” Abdirahman said, adding that investors typically “sell first and ask questions later.”  

SaaS IPOs are on hold

Public-market SaaS companies aren’t the only ones feeling a chill from investors.  

A Crunchbase report released Wednesday showed that, though the IPO market seems to be thawing for some sectors, there haven’t been — and aren’t expected to be — any venture-backed SaaS filings on the horizon.  

Holiday said this may be because there is a lot of pressure on large, private, late-stage SaaS companies like Canva and Rippling given the persnickety IPO window, high expectations driven by AI advancements, and the unsteady stock price of already public SaaS companies.  

Some of these companies, including mid-size SaaS companies, have even struggled to raise extension rounds in the private market, Holiday said, over the same fears public investors have. 

“Nobody wants to be subjected to the volatility of public markets when sentiment can send companies into downward tailspins,” Rechtman said, adding he expects to see companies like these to stay private for much longer.  

Meanwhile, the public market waits to get a good look at the finances of the first AI-native companies hoping to IPO. The scuttlebutt says that both OpenAI and Anthropic are contemplating IPOs, maybe even later this year.

The most likely outcome is something that weaves the old and the new together, as tech disruptions always have.  

Holiday said most of the new features companies are toying with these days “won’t stick” and that enterprises will always need software that meets compliance regulations, supports audits, manages workflow, and offers durability. 

“Durable shareholder value isn’t built on hype,” he continued. “It’s built on fundamentals, retention, margins, real budgets, and defensibility.”  

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Anthropic’s Claude rises to No. 1 in the App Store following Pentagon dispute

Anthropic’s chatbot Claude seems to have benefited from the attention around the company’s fraught negotiations with the Pentagon.

As first reported by CNBC, Claude has been rising to the top of the free app rankings in Apple’s US App Store. On Saturday evening, it overtook OpenAI’s ChatGPT to claim the number one spot, a position that it still held on Sunday morning.

According to data from SensorTower, Claude was just outside the top 100 at the end of January, and has spent most of February somewhere in the top 20. It’s climbed rapidly in the past few days, from sixth on Wednesday, to fourth on Thursday, then first on Saturday.

A company spokesperson said that daily signups have broken the all-time record every day this week, free users have increased more than 60% since January, and paid subscribers have more than doubled this year.

After Anthropic attempted to negotiate for safeguards preventing the Department of Defense from using its AI models for mass domestic surveillance or fully autonomous weapons, President Donald Trump directed federal agencies to stop using all Anthropic products and Secretary of Defense Pete Hegseth said he’s designating the company a supply-chain threat.

OpenAI subsequently announced its own agreement with the Pentagon, which CEO Sam Altman claimed includes safeguards related to domestic surveillance and autonomous weapons.

This post was first published on February 28, 2026. It has been updated to reflect Anthropic reaching No. 1, and to include growth numbers from the company.

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Honor launches its new slim foldable Magic V6 with a 6,600 mAh battery

Honor launched its new foldable, the Honor Magic V6, with a massive 6,600 mAh battery and a new sturdy hinge ahead of the Mobile World Congress (MWC) in Barcelona.

The Chinese company has been obsessed with proving that it makes the thinnest foldables. This year’s version is 4mm thick when unfolded and 8.75 mm thick when folded. Compared to last year’s Magic V5, which was 4.1 mm thick when unfolded and 8.8 mm thick when folded. We are talking very thin shavings here, but that helps the company make those claims.

The battery is possibly one of the most impressive parts of the phone. The Honor Magic V6 has a 6,600 mAh battery, up from 5,820 mAh last year. Using Honor’s SuperCharge tech, the phone can charge at 80W through a wired connection, and at 66W wirelessly.

What’s more, Honor also showed a new Silicon-carbon battery tech with 32% silicon density that could push foldable phone battery over 7,000 mAh.

The new device has a 7.95-inch main AMOLED display with 2352 x 2172 pixel resolution and a 6.52-inch cover display with 2420 x 1080 pixel resolution. Both screens support LTPO 2.0, which means they can switch to variable refresh rates between 1-120Hz for different use cases for better content legibility and power saving.

The company said that it has worked on a new Super Steel Hinge with a tensile strength of 2,800 MPa, which would make for sturdy long-term usage. It also said that it has reduced the crease depth by 44%, making the display look smooth. Honor noted that the Magic V6 has a new anti-reflective coating for the external screen with a reflectivity rating of 1.5%.

The phone is powered by Qualcomm’s Snapdragon 8 Elite Gen 5 processor, has 16GB RAM, and 512GB of storage. The Magic V6 has three rear cameras: a 50-megapixel main camera with f/1.6 aperture, a 64-megapixel telephoto camera with f/2.5 aperture, and a 50-megapixel ultrawide camera with f/2.2 aperture. On the front, there are dual 20-megapixel cameras with an f/2.2 aperture.

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Honor is taking efforts to make the device have file and notification sharing compatibility with Apple devices. For instance, with Honor Magic V6, you can set up a two-way notification sync with an iPhone. Plus, the device also has settings to display notifications on the Apple Watch. The foldable has the ability share files with Macs with one tap, and it can act as an extended display as well.

Honor didn’t specify pricing for the device, but said that the Magic V6 will be released in select international markets in the second half of the year.

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