Israeli agri-tech startup Fermata secures funding for AI-powered farming solutions
Israeli startup Fermata, founded in 2020 by bioinformatics expert Valeria Kogan, is using AI and computer vision to monitor greenhouse crops for diseases and pests. The company’s software works with standard cameras, capturing images of plants twice a day and alerting farmers to potential infestations via an app. Initially considering robotic solutions, Kogan shifted focus after consulting with farmers, realising that simpler camera-based monitoring was more effective.
Based in Israel, Fermata has gained traction by prioritising farmer needs and keeping its AI training in-house, improving model accuracy. Partnering with major agricultural firms like Bayer and Syngenta, the company has deployed over 100 cameras and continues to expand. The startup recently secured a $10 million Series A investment from Raw Ventures, its existing investor, to scale operations and work towards profitability by 2026.
Plans for growth include strengthening the sales team and expanding beyond greenhouse tomatoes into new crops. Despite AI’s previous struggles in agriculture, Fermata’s practical approach and farmer-centric model have helped it carve a niche in the industry.
Faculty AI develops AI for military drones
Faculty AI, a consultancy company with significant experience in AI, has been developing AI technologies for both civilian and military applications. Known for its close work with the UK government on AI safety, the NHS, and education, Faculty is also exploring the use of AI in military drones. The company has been involved in testing AI models for the UK’s AI Safety Institute (AISI), which was established to study the implications of AI safety.
While Faculty has worked extensively with AI in non-lethal areas, its work with military applications raises concerns due to the potential for autonomous systems in weapons, including drones. Though Faculty has not disclosed whether its AI work extends to lethal drones, it continues to face scrutiny over its dual roles in advising both the government on AI safety and working with defense clients.
The company has also generated some controversy because of its growing influence in both the public and private sectors. Some experts, including Green Party members, have raised concerns about potential conflicts of interest due to Faculty’s widespread government contracts and its private sector involvement in AI, such as its collaborations with OpenAI and defence firms. Faculty’s work on AI safety is seen as crucial, but critics argue that its broad portfolio could create a risk of bias in the advice it provides.
Despite these concerns, Faculty maintains that its work is guided by strict ethical policies, and it has emphasised its commitment to ensuring AI is used safely and responsibly, especially in defence applications. As AI continues to evolve, experts call for caution, with discussions about the need for human oversight in the development of autonomous weapons systems growing more urgent.
US tech leaders oppose proposed export limits
A prominent technology trade group has urged the Biden administration to reconsider a proposed rule that would restrict global access to US-made AI chips, warning that the measure could undermine America’s leadership in the AI sector. The Information Technology Industry Council (ITI), representing major companies like Amazon, Microsoft, and Meta, expressed concerns that the restrictions could unfairly limit US companies’ ability to compete globally while allowing foreign rivals to dominate the market.
The proposed rule, expected to be released as soon as Friday, is part of the Commerce Department’s broader strategy to regulate AI chip exports and prevent misuse, particularly by adversaries like China. The restrictions aim to curb the potential for AI to enhance China’s military capabilities. However, in a letter to Commerce Secretary Gina Raimondo, ITI CEO Jason Oxman criticised the administration’s urgency in finalising the rule, warning of ‘significant adverse consequences’ if implemented hastily. Oxman called for a more measured approach, such as issuing a proposed rule for public feedback rather than enacting an immediate policy.
Industry leaders have been vocal in their opposition, describing the draft rule as overly broad and damaging. The Semiconductor Industry Association raised similar concerns earlier this week, and Oracle’s Executive Vice President Ken Glueck slammed the measure as one of the most disruptive ever proposed for the US tech sector. Glueck argued the rule would impose sweeping regulations on the global commercial cloud industry, stifling innovation and growth.
While the administration has yet to comment on the matter, the growing pushback highlights the tension between safeguarding national security and maintaining US dominance in the rapidly evolving field of AI.
Amazon invests $11 billion in Georgia
Amazon Web Services (AWS) has announced a $11 billion investment to build new data centres in Georgia, aiming to support the growing demand for cloud computing and AI technologies. The facilities, located in Butts and Douglas counties, are expected to create at least 550 high-skilled jobs and position Georgia as a leader in digital innovation.
The move highlights a broader trend among tech giants investing heavily in AI-driven advancements. Last week, Microsoft revealed an $80 billion plan for fiscal 2025 to expand data centres for AI training and cloud applications. These facilities are critical for supporting resource-intensive AI technologies like machine learning and generative models, which require vast computational power and specialised infrastructure.
The surge in AI infrastructure has also raised concerns about energy consumption. A report from the Electric Power Research Institute suggests data centres could account for up to 9% of US electricity usage by 2030. To address this, Amazon has secured energy supply agreements with utilities like Talen Energy in Pennsylvania and Entergy in Mississippi, ensuring reliable power for its expanding operations.
Amazon’s commitment underscores the growing importance of AI and cloud services, as companies race to meet the demands of a rapidly evolving technological landscape.
Goodman Group surges as AI boom fuels data centre demand
Goodman Group has emerged as a standout performer in Australia’s real estate sector this year, with its stock soaring 45.8%, marking its strongest run since 2006. The surge is driven by a boom in AI, which has sparked frenzied demand for data centres. Global tech giants like Amazon, Microsoft, and Meta have poured billions into expanding their data centre capacity, fueling growth for developers like Goodman.
At the end of September, 42% of Goodman’s A$12.8 billion ($7.96 billion) development portfolio was dedicated to data centres, a jump from 37% last year. Analysts like John Lockton of Sandstone Insights see this focus as a key strength, noting the company’s access to land with power supply, a critical factor for future data-centre projects.
Despite the optimism, some caution remains. Analysts warn that soaring valuations in the data-centre sector could cool investor enthusiasm. Goodman’s high stock prices and concerns over risks like obsolescence and increased competition raise questions about long-term returns. Nonetheless, with robust demand for AI infrastructure, Goodman’s pipeline and strategic positioning keep it well-poised for continued growth.
DeepSeek unveils a powerful new AI model
Chinese AI firm DeepSeek has unveiled DeepSeek V3, a groundbreaking open-source model designed for a range of text-based tasks. Released under a permissive licence, the model supports coding, translations, essay writing, and email drafting, offering developers the freedom to modify and deploy it commercially.
In internal benchmarks, DeepSeek V3 outperformed major competitors, including Meta’s Llama 3.1 and OpenAI’s GPT-4o, especially in coding contests and integration tests. The model boasts an impressive 671 billion parameters, significantly exceeding the size of many rivals, which often correlates with higher performance.
DeepSeek V3 was trained on a dataset of 14.8 trillion tokens and built using a data centre powered by Nvidia H800 GPUs. Remarkably, the model was developed in just two months for a reported $5.5 million—far less than comparable systems. However, its size and resource demands make it less practical without high-end hardware.
Regulatory limitations influence the model’s responses, particularly on politically sensitive topics. DeepSeek, backed by High-Flyer Capital Management, continues to push for advancements in AI, striving to compete with leading global firms despite restrictions on access to cutting-edge GPUs.
ChatGPT search found vulnerable to manipulation
New research by The Guardian reveals that ChatGPT Search, OpenAI’s recently launched AI-powered search tool, can be misled into generating false or overly positive summaries. By embedding hidden text in web pages, researchers demonstrated that the AI could ignore negative reviews or even produce malicious code.
The feature, designed to streamline browsing by summarising content such as product reviews, is susceptible to hidden text attacks—a well-known vulnerability in large language models. While this issue has been studied before, this marks the first time such manipulation has been proven on a live AI search tool.
OpenAI did not comment on this specific case but stated it employs measures to block malicious websites and is working to improve its defences. Experts note that competitors like Google, with more experience in search technology, have developed stronger safeguards against similar threats.
AI sales tools spark rapid growth but face long-term questions
AI startups specialising in sales development representatives (SDRs) are experiencing rapid growth as businesses embrace new technologies to streamline outreach. These startups, leveraging large language models (LLMs) and voice technology, automate tasks like crafting personalised emails and placing calls to potential customers. This sector has seen an unprecedented surge, with multiple companies achieving notable success in a short span, according to Shardul Shah of Index Ventures. However, investors remain cautious about whether this trend will yield lasting results or fade once the novelty wears off.
The appeal of AI SDRs is particularly strong among small and medium-sized businesses, which find it easier to experiment with these tools. Arjun Pillai, founder of Docket, attributes the popularity to declining reply rates for traditional cold emails, prompting businesses to explore AI-driven solutions. Startups like Regie.ai, AiSDR, and 11x.ai, as well as incumbents like ZoomInfo, are vying for market share, boasting impressive revenue growth. Yet, as Tomasz Tunguz of Theory Ventures noted, some businesses report that while AI SDRs generate substantial leads, they don’t necessarily translate into higher sales, highlighting a gap in effectively integrating AI into sales strategies.
Despite the enthusiasm, the rise of AI SDRs faces significant challenges. Industry leaders such as Salesforce and HubSpot, which control vast customer data, could introduce similar AI features, potentially outpacing smaller startups. Investors also point to cautionary tales like Jasper, a copywriting AI startup that stumbled after the launch of ChatGPT, emphasising the uncertainty surrounding the longevity of AI adoption in sales. For now, the potential of AI SDRs to revolutionise sales processes is undeniable, but their ability to sustain growth and deliver tangible results remains to be seen.