Latest news with #DeepSeek
TechCrunch
2 hours ago
- Business
- TechCrunch
DeepSeek updates its R1 reasoning AI model, releases it on Hugging Face
In Brief Chinese startup DeepSeek has released an updated version of its R1 reasoning AI model on the developer platform Hugging Face after announcing it in a WeChat message Wednesday morning. The updated R1, which is under a permissive MIT license, meaning it can be used commercially, is a 'minor' upgrade, according to DeepSeek's WeChat announcement. The Hugging Face repository doesn't contain a description of the model — only configuration files and weights, the internal components of a model that guide its behavior. Weighing in at 685 billion parameters in size, the updated R1 is quite hefty. ('Parameters' is synonymous with 'weights.') Without modification, the model likely can't run on consumer-grade hardware. DeepSeek rose to prominence earlier this year following the release of R1, which gave models from OpenAI a run for their money. The startup has raised the ire of some regulators stateside, who argue that DeepSeek's technology poses a national security risk.
Forbes
4 hours ago
- Business
- Forbes
DeepSeek's R1 Update Boosts Coding Capabilities
SAN ANSELMO, CALIFORNIA - JANUARY 27: In this photo illustration, the DeepSeek app is displayed on ... More an iPhone screen on January 27, 2025 in San Anselmo, California. Newly launched Chinese AI app DeepSeek has surged to number one in Apple's App Store and has triggered a sell-off of U.S. tech stocks over concerns that Chinese companies' AI advances could threaten the bottom line of tech giants in the United States and Europe. (Photo Illustration by) DeepSeek has rolled out an update to its R1 model, ushering in a new era of coding assistance at a much affordable cost. While users have yet to uncover every enhancement, the newly fortified programming capabilities stand out as potentially transformative. Novice and experienced programmers alike can now instruct DeepSeek to build simple, interactive video games and run them in Python. And for those without Python or Pygame installed locally, DeepSeek can translate its output into HTML5, enabling anyone to launch and test games directly in a web browser, no environment configuration required. This flexibility not only accelerates prototyping but also reduces technical barriers, making game development accessible to a wider spectrum of users. What sets DeepSeek apart from competing models such as Claude 3.7 Sonnet and GPT o3 is its cost structure. By offering these advanced coding features free of charge, DeepSeek positions itself as an ideal solution for educational institutions, nonprofit organizations, and individual creators operating on tight budgets. Students and community groups that previously lacked the resources to subscribe to premium AI services can now explore interactive programming projects without financial constraints. Beyond game development, DeepSeek's enhanced coding engine can scaffold website building from scratch. Users can prompt DeepSeek to fetch and leverage publicly available datasets, say, a Github repository containing 19th-century British novels, and transform raw text into dynamic web applications. In a single workflow, DeepSeek can generate code that ingests the dataset, constructs word clouds, performs sentiment analysis, and displays interactive visualizations. Users can also engage in multiple rounds of prompts to ask DeepSeek to improve the website with more specificity. This end-to-end functionality has the potential to streamline data journalism, digital humanities research, and business intelligence initiatives, simplifying the tasks between data extraction and front-end development. The implications extend far beyond academic research and entertainment. From financial analysts automating statistical models to healthcare professionals building real-time dashboards, DeepSeek's zero-cost coding assistance lowers the threshold for data-driven decision-making. Organizations can explore prototyping analytics tools and spinning up web-based reports with higher efficiency. DeepSeek's R1 update, especially the enhanced coding skills, may help democratizing software creation. By integrating powerful code generation with an open-source model, DeepSeek opens an avenue for innovators to experiment, iterate, and launch applications at minimal cost.
Yahoo
4 hours ago
- Business
- Yahoo
These Stocks Could Post Big Moves After Nvidia Earnings
Nvidia is scheduled to report quarterly results after the bell on Wednesday, in what could be a major test of the AI trade's resilience. Nvidia earnings are a blockbuster, market-moving event for Wall Street. Investors parse the results for any sign that AI demand or investment is waning, making the report a catalyst for AI infrastructure stocks. Most of these AI stocks are currently trading at or above their price heading into Nvidia's last earnings report at the end of February. Those results weighed heavily on the majority of AI beneficiaries. Shares of server maker Super Micro Computer (SMCI) and nuclear energy provider Vistra (VST) outpaced Nvidia's (NVDA) 8.5% decline the day after its last report, tumbling 16% and 12%, respectively. Constellation Energy (CEG), also a nuclear power provider, slumped about 7.5%. Nvidia's position as the world's largest semiconductor company has made it something of a bellwether for the entire industry. The PHLX Semiconductor Index (SOX) tumbled more than 6% after Nvidia's last report, its biggest decline since January's DeepSeek panic caused the index to nosedive. Major Nvidia competitors Broadcom (AVGO) and Advanced Micro Devices (AMD) tumbled 7% and 5%, respectively. Chip fabrication services provider Lam Research (LRCX) and memory chip maker Micron (MU) also closed sharply lower. The companies that supply data centers with essential networking equipment also tend to move on AI demand signals parsed from Nvidia's earnings. Shares of Arista Networks (ANET) slid 5% following Nvidia's February report, while fiber optic technology provider Corning (GLW) shed 2% and network provider Lumen Technologies (LUMN) dropped 4%. Granted, stocks within the AI ecosystem don't always move in tandem. Nvidia shares soared more than 9% on its earnings report one year ago, but the boost its results lent to other AI infrastructure stocks fizzled out before the day's end. Supermicro shares rose as much as 11% that day before sliding to close 3% lower. Read the original article on Investopedia
Yahoo
4 hours ago
- Business
- Yahoo
NVIDIA Corporation (NVDA): Worried 'That He Took On, The Government,' Says Jim Cramer
We recently published a list of . In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other stocks that Jim Cramer discusses. NVIDIA Corporation (NASDAQ:NVDA) is one of Cramer's top stock picks. He has remained optimistic about the firm despite recent share price weakness. NVIDIA Corporation (NASDAQ:NVDA)'s shares are down 2% year-to-date as they have yet to recover all the losses from January's DeepSeek selloff. However, despite the weakness, Cramer believes the firm will usher in a new industrial revolution. Apart from AI, he believes that robotics will play a key role in NVIDIA Corporation (NASDAQ:NVDA)'s future business. His recent comments reflected the role the firm can play in the rollout of sovereign AI: '[On Melius note highlighting 16 GW of new incremental AI compute build out] I loved this piece this morning cause it said that sovereign AI really matters. That the UAE really matters. David, the big project that you guys talked about with Larry Ellison. . . .that's very good for NVIDIA. What I worry about Carl, is that he took on, the government. Very, very hard. Saying, look, we are doing the wrong thing in China. That we should get them basically, they used to be all built on us. Now it's 50%, they're [inaudible] to use second rate rather than us. We have to chane the rules and we have to go back to being the dominant player in China cause it's good for our country. It's very philosophical. I regard Jensen as right. . .he's the best there is.' A close-up of a colorful high-end graphics card being plugged in to a gaming computer. NVIDIA Corporation (NASDAQ:NVDA)'s charismatic CEO Jensen Huang recently spoke at a conference in Taiwan. Here's what Cramer said after his speech: 'Look, it's a great, an enjoyable keynote. If you want to find out why everyone loves him, you can get it all on that. Because he's talking about how, look I want people to by some of us, they don't have to buy all of us. . . He's making some available to companies that don't use his stuff. Who [are] in the data, in the cloud. So I thought it was very very positive. I mean look he has this string of companies, and once again if you wanted to buy what's most impacted it would be Dell. I thought Marvell was mentioned very positively. Cisco, was mentioned. These were companies that can link it to other companies that may not right now be using him. But I think overall what he's saying is look, this isn't a revolution. It's an information management revolution. We've never seen anything like it. David he talks about, there was electricity was the first okay. And then the internet. And now this. And he's the leader of this. And I don't know. That felt comfortable. Obviously people bid it up, they knew there was going to be a some sort of announcement, which was major countries. We didn't get that.' Overall, NVDA ranks 3rd on our list of stocks that Jim Cramer discusses. While we acknowledge the potential of NVDA, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than NVDA and that has 100x upside potential, check out our report about this cheapest AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey.
Forbes
6 hours ago
- Business
- Forbes
HR: The Hidden Accelerator Of AI Adoption
Scaling AI starts with people. Yet only half of companies involve HR in their strategy. Employee experimentation with generative AI is moving almost as fast as the evolution of the technology itself. But organizations? They're trailing behind. Most are stuck in pilot mode, hesitant to move beyond isolated tests. In Bain & Company's global survey of nearly 800 IT executives, 97% said they're testing generative AI, but fewer than 40% have scaled its use. Legacy technology systems, cultural inertia, and regulatory friction are real hurdles. Even as models like DeepSeek's R1 continue to push down costs and reshape strategies, widespread enterprise adoption is slow. The reason is simple: Generative AI isn't just a tech upgrade. It's a workforce transformation. Winning organizations aren't just updating their tech infrastructure. They're preparing their people with training and clear guidelines. According to the World Economic Forum's Future of Jobs Report 2025, 77% of employers plan to reskill and upskill their talent to work alongside AI by 2030. In addition, 69% plan to hire new employees who are skilled in AI tool design. Yet only half of companies are currently involving HR in their AI strategy. That's a critical miss. When HR is engaged, companies move faster: 62% of high-adoption organizations are investing in employee training. They are scaling the benefits of the technology and quickly pulling ahead. Luckily, it's not too late to catch up. According to Bain's survey, 77% of companies have seen meaningful time savings in day-to-day tasks through AI-powered processes, with 30% saving more than a fifth of their time in the first year alone. And 69% saw improved collaboration with generative AI. Just 10% said the technology replaced entire roles. One thing is clear: AI is about unleashing the power of people. That puts HR front and center. Forward-thinking organizations are involving HR in three ways: Working with HR, the most successful AI adopters are crafting a two-speed strategy that balances ambitious transformation with quick, practical wins. Big bets are large, strategic investments, such as fully automated supply chains or AI-powered customer service. Intuit, for example, has reduced contact with TurboTax product support by 20% through AI self-help and increased coders' productivity by up to 40% through AI assistance. Efforts that revolutionize how people work require cross-functional alignment, strong leadership commitment, and an emphasis on return on investment. Small wins, on the other hand, are often grassroots initiatives. Not waiting for top-down mandates, employees use AI to automate daily tasks, generate content, and make informed decisions. These efficiency gains build internal momentum and cultural buy-in. In September, Intuit shared that its generative AI trials boosted productivity by 15% on average, with certain tasks, such as marketing content creation, reporting even higher gains. Even companies that are all-in on AI integration will face challenges such as modernizing their platforms and balancing innovation with regulatory compliance. Cost of implementation is an issue, too. From upskilling employees to acquiring cutting-edge tools, leaders worry about spending money when return on investment remains unclear. To overcome these barriers, leaders will take three steps: Companies that hesitate now risk being left behind—not just by their competitors, but by their own employees. Scaling AI requires learning as an entire organization, through a balance of bold investments and daily improvements. And by elevating HR to a leading role, organizations establish the foundation required to evolve and win.
