New Google X spinoff uses AI to boost crop yields

Google’s X has spun out a new startup, Heritable Agriculture, which applies AI to revolutionise plant breeding. Using machine learning, the company analyses plant genomes to identify combinations that enhance yields, reduce water consumption, and increase carbon storage in soil.

The startup was founded by Brad Zamft, a former Google X researcher with a background in physics and biotech. Under his leadership, Heritable has tested thousands of plants using AI-powered models, running experiments in controlled growth chambers and field sites across the United States. Unlike gene-editing firms, Heritable focuses on refining traditional breeding methods rather than modifying DNA directly.

The company has secured investment from FTW Ventures, Mythos Ventures, and Google itself, though financial details remain undisclosed. As it steps into independence, Heritable Agriculture aims to commercialise its AI-driven approach, potentially reshaping the future of sustainable farming.

ElevenLabs secures $180 million in funding for voice AI innovation

Voice cloning startup ElevenLabs has raised $180 million in a Series C funding round, tripling its valuation to $3.3 billion. Co-led by Andreessen Horowitz and Iconiq Growth, the funding round also saw participation from new investors like NEA and World Innovation Lab, alongside increased support from existing backers such as Sequoia Capital and Salesforce Ventures. The company aims to leverage the new funding to enhance its research into expressive voice AI, develop new products, and expand its tools for developers and businesses.

Founded in 2022 and headquartered in London, ElevenLabs specialises in AI-generated voices that replicate various languages, accents, and emotions. The startup’s technology has already found applications in publishing and gaming, with partnerships including The New Yorker and Cloud Imperium Games. In 2024, ElevenLabs broadened its product offerings to include speech generation, voice design, sound effects, and AI-driven dubbing across 32 languages.

CEO Mati Staniszewski, who co-founded the company with Piotr Dabkowski, described the funding as a significant step towards making voice interactions more natural and effortless. With a total of $281 million raised so far, ElevenLabs is poised to play a leading role in the rapidly growing generative AI sector.

US backs intel with multi-billion-dollar chip investment

Intel has received $2.2 billion in federal grants as part of the US CHIPS and Science Act, supporting its efforts to boost domestic semiconductor production. The funding, awarded by the Department of Commerce, is part of a total $7.86 billion grant announced last November, aimed at expanding Intel’s manufacturing and advanced packaging operations across several states.

While an additional $5.66 billion is still to be disbursed, concerns have emerged over the future of the US CHIPS Act under the Trump administration. A proposed federal funding freeze, currently blocked by a judge, could impact the Commerce Department’s work on semiconductor subsidies. Despite this uncertainty, Intel’s leadership remains optimistic, citing ongoing discussions with the new administration.

Intel executives have expressed confidence in continued government support, highlighting shared goals of strengthening US semiconductor production. The company plans to use the funds to enhance its facilities in Arizona, New Mexico, Ohio, and Oregon, reinforcing America’s position in the global chip industry.

AI disruptions won’t slow ABB’s expansion in data centres

ABB is optimistic about the growth of the data centre market despite recent concerns over the rise of energy-efficient AI models such as DeepSeek. The Chinese AI system, which requires fewer chips to run, recently triggered a selloff in tech stocks, raising fears that demand for high-power data centre infrastructure could decline. However, ABB CEO Morten Wierod said key customers have confirmed their investment plans remain unchanged.

The company has benefited significantly from the expansion of data centres, with orders in this segment rising by 23% annually between 2019 and 2023. The sector now accounts for 15% of ABB’s electrification business, up from 8% in 2022. While Wierod declined to give a forecast for 2025, he expressed confidence in continued demand, particularly in China.

ABB sees further opportunities in helping data centres reduce energy consumption. Its technology, including motors and power management systems, can improve efficiency by up to 60%. With AI infrastructure investments accelerating, spurred by a $500 billion commitment from the US government, the company believes the sector will remain a key driver of growth in the coming years.

Avride partners with Grubhub to expand robot deliveries on US campuses

Autonomous technology startup Avride has partnered with food delivery service Grubhub to roll out its delivery robots across college campuses in the United States. The company’s first fleet of 100 robots is already operating at Ohio State University, which now exclusively relies on robot deliveries. Avride plans to introduce its next-generation models at the university as demand for automated food delivery continues to grow.

College campuses have become prime locations for autonomous delivery technology, offering compact areas with high order volumes. Avride CEO Dmitry Polishchuk highlighted the efficiency of robots in these environments, noting strong interest from universities. The company joins other firms like Cartken and Serve Robotics in integrating robotic deliveries with major ride-hailing and food delivery platforms.

Founded in 2017 and based in Austin, Texas, Avride has completed 200,000 deliveries across five countries. The company was previously part of Russian tech giant Yandex‘s self-driving division before separating last year. In addition to its Grubhub partnership, Avride has also teamed up with Uber for food delivery and robotaxi services, solidifying its position in the expanding autonomous delivery industry.

Thailand secures major data hosting investment from TikTok

TikTok has announced a $3.8 billion investment in a data hosting centre in Thailand, marking a significant expansion of its digital infrastructure in the region. The project, managed through the company’s Singapore-based unit, is expected to support affiliated businesses and begin operations in 2026, according to Thailand’s Board of Investment.

The move comes amid a wave of tech investment in Thailand, with companies such as Google, Amazon Web Services, and Microsoft all committing billions to establish data centres in the country. The Thai government hopes these developments will strengthen its digital economy and push the nation closer to becoming a regional technology hub.

TikTok’s decision to invest follows increased scrutiny over data privacy and security worldwide. As governments tighten regulations on tech firms, establishing regional data centres has become a strategic move for companies looking to maintain compliance and expand their presence in key markets.

Startup Waterlily secures funding to expand care planning tech

San Francisco-based startup Waterlily has raised $7 million in seed funding to expand its AI-driven platform for long-term care planning. Founded by Lily Vittayarukskul, the company helps families and financial advisors predict care costs and create tailored financial strategies. Using machine learning and data from government and insurance sources, Waterlily provides personalised recommendations on funding options, such as life insurance and long-term care policies.

Waterlily’s technology was inspired by Vittayarukskul’s personal experience of caring for her aunt, which exposed the financial and emotional strain of long-term care. The platform’s predictive AI can be used for individuals over 40, offering insights into when and how they may need care. The startup already serves major insurance carriers, including Prudential, and hundreds of independent advisors.

With its latest funding round, Waterlily plans to enhance its AI models, expand its team, and strengthen its partnerships. The company is also exploring international expansion to markets such as the UK and Canada, aiming to bridge the gap in long-term care planning and ensure more families are prepared for the future.

DeepSeek: Speeding up the planet or levelling with ChatGPT?

Although the company’s name somewhat overlaps with Google DeepMind, which was launched earlier, the new player in the market has sparked a leap in attention and public interest, becoming one of the biggest AI surprises on the planet upon its launch.

DeepSeek, a company headquartered in China, enjoys significant popularity primarily because its most sought-after features keep pace with giants like OpenAI and Google, as well as due to notable stock market changes that are far from negligible.

In the following points, we will explore these factors and what the future holds for this young company, particularly in the context of the dynamics between China and the US.

How did it start? Origins of DeepSeek

DeepSeek is an AI company from China based in Hangzhou, Zhejiang, founded by entrepreneur and businessman Liang Wenfeng. The company develops open-source LLMs and is owned by a Chinese hedge fund, High-Flyer.

It all started back in 2015 when Liang Wenfeng cofounded High-Flyer. At first, it was a startup, but in 2019, it grew into a hedge fund focused on developing and using AI trading algorithms. For the first two years, they used AI only for trading.

In 2023, High-Flyer founded a startup called DeepSeek, and Liang Wenfeng was appointed CEO. Two years later, on 10 January 2025, DeepSeek announced the release of its first free-to-use chatbot app. The app surpassed its main competitor, ChatGPT, as the most downloaded free app in the US in just 17 days, causing an unprecedented stir on the market.

Unprecedented impact on the market

Few missed the launch of the DeepSeek model, which is why the stock market felt the impact, and so did some of the biggest giants.

For instance, the value of Nvidia shares dropped by as much as 18%. Similar declines were experienced by giants like OpenAI, Google, and other AI companies focused on small and medium-sized enterprises.

On top of this, there is justified concern among investors, who could quickly shift their focus and redirect their investments. However, this could lead to an even more significant drop in the shares of the largest companies.

Open-source approach

DeepSeek embraces an open-source philosophy, making its AI algorithms, models, and training details freely accessible to the public. The company stated that it is committed to transparency and fosters collaboration among developers and researchers worldwide. They also advocate for a more inclusive and innovative AI ecosystem.

Their strategy has the potential to reshape the AI landscape, as it empowers individuals and organisations to contribute to the evolution of AI technology. DeepSeek’s initiative highlights the importance of open collaboration in driving progress and solving complex challenges in the tech industry.

DeepSeek quickly secured the information after being alerted.

With the growing demand for ethical and transparent AI development, DeepSeek’s open-source model sets a precedent for the industry. The company paves the way for a future where AI breakthroughs are driven by collective effort rather than proprietary control.

Cheaper AI model that shook the market

By being cheaper than the competition, DeepSeek has opened the doors of the AI market to many other companies that do not have as much financial power. As dr Jovan Kurbalija, executive director of Diplo, says in his blog post titled ‘How David outwits Goliath in the age of AI?‘, ‘the age of David challenging Goliath has arrived in AI’.

For individuals, this means monthly costs are reduced by 30% to 50%, which can be, and often is, the biggest incentive for users looking to save.

The privileges once enjoyed by those with greater financial resources are now available to those who want to advance their small and medium-sized businesses.

Cyber threats and challenges faced by DeepSeek

Shortly after its launch, DeepSeek faced a significant setback when it was revealed that an error had exposed sensitive information to the public.

This raised alarms for many, especially as the immense popularity led to the AI Assistant being removed from the AppStore more times than OpenAI’s offering, and a large amount of data became accessible.

Experts have expressed concerns that others may have accessed the leaked data. The company has not yet commented on the incident, while the system’s vulnerability provides a foundation for hacking groups to exploit.

DeepSeek for the top spot, ChatGPT defends the throne

The AI race is heating up as DeepSeek challenges industry leader ChatGPT, aiming to claim the top spot in AI. With its open-source approach, DeepSeek is rapidly gaining attention by publicly making its models and training methods available, fostering innovation and collaboration across the AI community.

The race was further spiced up by DeepSeek’s claim that it built an AI model on par with OpenAI’s ChatGPT for under $6 million (£4.8 million). In comparison, Microsoft, OpenAI’s main partner, plans to invest around $80 billion in AI infrastructure this year.

OpenAI’s ChatGPT search tool faces risks of manipulation via hidden content, leading to biased or harmful outputs.

As DeepSeek pushes forward with its transparent and accessible model, the battle for AI supremacy intensifies. Whether openness will outmatch ChatGPT’s established presence remains to be seen, but one thing is sure—the AI landscape is evolving faster than ever.

Why is DeepSeek gaining popularity in 2025?

DeepSeek has emerged as a major player in AI by embracing an open-source philosophy, making its models and training data freely available to developers. This transparency has fueled rapid innovation, allowing researchers and businesses to build upon its technology and contribute to advancements in AI.

Unlike closed systems controlled by major tech giants, DeepSeek’s approach promotes accessibility and collaboration, attracting a growing community of AI enthusiasts. Its cost-effective development, reportedly achieving results comparable to top-tier models with significantly lower investment, has also drawn attention.

As the demand for more open and adaptable AI solutions rises, DeepSeek’s commitment to shared knowledge positions it as a strong contender in the industry. Whether this strategy will redefine the AI landscape remains to be seen, but its growing influence in 2025 is undeniable.

DeepSeek in the future: Development, features, and strategies

Now that it has experienced ‘overnight success,’ the Chinese company aims to push DeepSeek to the top and position it among the most powerful AI firms in the world.

Users can definitely expect many advanced features that will fuel a fierce battle with giants like DeepMind and ChatGPT.

Strategically, DeepSeek will attempt to break into the American market and offer more financially accessible solutions, forcing the key players to make significant cuts.

DeepSeek is undoubtedly a real hit in the market, but it remains to be seen whether price is the only measure of its success.

Whether it will make a leap in its own technology and completely outpace the competition or remain shoulder to shoulder with the giants—or even falter—will be revealed in the near future.

One thing is sure: the Chinese company has seriously shaken up the market, which will need considerable time to recover.

AI Robotics boom continues with SoftBank’s $500M deal

SoftBank is set to invest $500 million in SkildAI, a fast-growing AI robotics startup, at a valuation of $4 billion. The company, founded just two years ago, specialises in building AI models that can be adapted for different robotic applications. Previous investors include Jeff Bezos, Lightspeed Venture Partners, and Coatue Management, who contributed to a $300 million round last July.

The investment comes amid surging interest in AI-powered robotics, with major backers like Bezos ramping up funding in the sector. Startups such as Physical Intelligence and Figure AI have also secured hundreds of millions in recent months to develop advanced robotic “brains” and humanoid robots.

SkildAI’s latest funding highlights the growing competition in AI-driven automation, with investors betting on smarter, more adaptable robots. As demand for robotics expands across industries, firms like SkildAI are positioning themselves at the forefront of this technological revolution.

DeepSeek’s AI model sets new benchmark in image generation

Chinese AI startup DeepSeek has announced that its Janus-Pro-7B model has surpassed competitors, including OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion, in benchmark rankings for text-to-image generation. This achievement solidifies DeepSeek’s reputation as a key player in the rapidly evolving AI market.

According to a technical report, the Janus-Pro model builds upon its predecessor by incorporating enhanced training processes, higher-quality data, and advanced scaling, resulting in improved stability and more detailed image outputs. The company credited the inclusion of 72 million high-quality synthetic images, combined with real-world data, for the model’s superior performance.

This success follows the launch of DeepSeek’s new AI assistant based on the DeepSeek-V3 model, which has become the top-rated free app in the US Apple App Store. The news sent shockwaves through the tech industry, leading to declines in shares of companies like Nvidia and Oracle, as investors reassessed the competitive dynamics in AI development.

OpenAI and Stability AI have yet to comment on the claims. DeepSeek’s achievements highlight the growing influence of Chinese firms in cutting-edge AI innovation, setting the stage for heightened competition in the global tech market.