In a recent interview with The Wall Street Journal, AI pioneer Yann LeCun dismissed concerns about AI poses an existential threat to humanity, calling them ‘complete B.S.’ LeCun, a professor at New York University and senior researcher at Meta, has been vocal about his scepticism, emphasising that current AI technology is far from achieving human-level intelligence. He previously tweeted that before worrying about super-intelligent AI, we need to first create a system that surpasses the intelligence of a house cat.
LeCun argued that today’s large language models (LLMs) lack essential capabilities like persistent memory, reasoning, planning, and a comprehension of the physical world—skills even a cat possesses. In his view, while these models are adept at manipulating language, this does not equate to true intelligence, and they are not advancing toward developing artificial general intelligence (AGI).
Despite his scepticism about current AI capabilities, LeCun is not entirely dismissive of the potential for AGI in the future. He suggested that developing AGI will require new approaches and pointed to ongoing work by his team at Meta, which is exploring ways to process and understand real-world video data.
Google has signed the first-ever corporate agreement to source electricity from small modular reactors (SMRs) to power its AI operations. Partnering with Kairos Power, the tech giant plans to bring its first SMR online by 2030, with further installations expected by 2035. The innovative approach aims to ensure a reliable, around-the-clock supply of clean energy, addressing the growing energy demands triggered by the expansion of AI technology.
The agreement outlines Google’s commitment to purchasing 500 megawatts of power from six to seven SMRs, though details regarding the plants’ financial terms and locations remain undisclosed. The power output from these SMRs is significantly smaller than traditional nuclear reactors, but Google’s strategic investment signals a push toward long-term sustainability.
The tech industry’s focus on nuclear energy has gained momentum this year, with companies like Amazon and Microsoft entering similar agreements. According to Goldman Sachs, the demand for data centres in the US is expected to triple between 2023 and 2030. The surge in energy consumption has prompted technology companies to explore alternative energy sources, including nuclear, wind, and solar, to meet future needs.
Kairos Power must navigate regulatory hurdles, including securing permits from the US Nuclear Regulatory Commission (NRC) and local agencies, which could take several years. However, the company achieved a key milestone last year by obtaining a construction permit to build a demonstration reactor in Tennessee, signalling progress toward deploying SMRs.
Despite the enthusiasm for SMRs, critics point to potential challenges, including high costs and the production of long-lasting nuclear waste. However, Google’s decision to commit to an order book framework with Kairos rather than purchasing individual reactors represents a strategic investment to accelerate the development of SMRs while ensuring cost-effectiveness and timely project delivery.
In a lengthy blog post, Anthropic CEO Dario Amodei presented an optimistic vision for the future of AI, asserting that powerful AI could emerge as soon as 2026. He envisions AI that surpasses human intelligence in key fields, capable of performing complex tasks such as solving mathematical theorems and conducting sophisticated experiments. Amodei believes this advanced technology could lead to groundbreaking advancements in healthcare, potentially curing diseases and doubling human lifespans within the next few decades.
Critics are sceptical about Anthropic CEO Dario Amodei’s ambitious claims regarding the future of AI, pointing out current limitations such as the technology’s inability to think independently and the challenges in applying AI solutions in real-world healthcare settings. While Amodei envisions AI tackling global issues like hunger and climate change and boosting economies in developing countries, he concedes that achieving these goals will necessitate substantial global cooperation and philanthropic efforts.
Despite acknowledging the potential risks and biases associated with AI, Dario Amodei does not present concrete solutions for the economic disruptions that may occur as AI replaces human jobs. He suggests that society will need to rethink its economic structure in an AI-dominated future but offers minimal guidance on navigating these changes. While he frames AI as a transformative force for good, sceptics remain cautious about the significant challenges and ethical dilemmas it presents.
Google has introduced ‘Checks by Google’, a new tool designed to assist developers and compliance teams ensure that apps, websites, and AI adhere to various standards and regulations. Initially used internally within Google, this tool is now publicly accessible and focuses on three key areas of compliance – app compliance, code compliance, and AI safety.
The app compliance feature evaluates adherence to regulations such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), and Brazil’s Lei Geral de Proteção de Dados (LGPD). Meanwhile, the code compliance aspect aids developers in identifying regulatory issues during the app development process.
Furthermore, the AI safety component addresses compliance and ethical standards related to AI, particularly targeting potential biases and safety concerns in AI-generated outputs. In addition to these features, ‘Checks by Google’ employs a fine-tuned Large Language Model and a smart AI crawler for thorough assessments, thereby providing insights into compliance without offering legal advice.
Moreover, the tool is customisable to meet the specific needs of various industries, such as finance and healthcare. Currently available for free, with additional paid services for enterprises, ‘Checks by Google’ has the potential to transform how developers navigate compliance in an increasingly complex regulatory environment.
Suki, a healthcare startup is developing AI-powered voice assistants, has raised $70 million in a Series D funding round led by London-based Hedosophia, with participation from Venrock and March Capital. The latest funding brings Suki’s total to $165 million and reportedly values the company at around $500 million. The Redwood City-based startup aims to reduce the administrative burden on healthcare providers with AI tools that streamline tasks like clinical documentation.
Founded in 2017 by former Google and Flipkart executive Punit Soni, Suki has seen growing demand for its products, particularly its Suki Assistant and Suki Platform, as more healthcare systems adopt generative AI technology. The startup now partners with over 300 health systems, including St. Mary’s Healthcare in New York, and integrates with major Electronic Health Record (EHR) systems such as Epic and Oracle’s Cerner.
Suki plans to use the new funding to further develop its AI assistant, adding new features and tools to manage multiple AI models. Competing in the same space as Microsoft’s Nuance and other startups like Abridge, Suki continues to expand its footprint in the AI healthcare market.
TikTok, owned by ByteDance, is cutting hundreds of jobs globally as it pivots towards greater use of AI in content moderation. Among the hardest hit is Malaysia, where fewer than 500 employees were affected, mostly involved in moderation roles. The layoffs come as TikTok seeks to improve the efficiency of its moderation system, relying more heavily on automated detection technologies.
The firm’s spokesperson explained that the move is part of a broader plan to optimise its global content moderation model, aiming for more streamlined operations. TikTok has announced plans to invest $2 billion in global trust and safety measures, with 80% of harmful content already being removed by AI.
The layoffs in Malaysia follow increased regulatory pressure on technology companies operating in the region. Malaysia’s government recently urged social media platforms, including TikTok, to enhance their monitoring systems and apply for operating licences to combat rising cybercrime.
ByteDance, which employs over 110,000 people worldwide, is expected to continue restructuring next month as it consolidates some of its regional operations. These changes highlight the company’s ongoing shift towards automation in its content management strategy.
Advanced Micro Devices (AMD) is set to begin mass production of its latest AI chip, the MI325X, by the end of 2024. This move aims to boost AMD’s competitive position in a market largely dominated by Nvidia. The MI325X will be available in early 2025, designed to enhance AI processing speeds with new memory technology. AMD also plans to release a next-generation MI350 series in 2025 with an improved architecture and more memory for even greater performance.
Despite these announcements, AMD’s shares fell nearly 5%, as analysts were expecting new major cloud-computing clients to be revealed. AMD continues to face stiff competition from Nvidia, whose shares rose while Intel’s dipped amid the AI race. In addition to the new AI chips, AMD introduced server and PC processors based on its Zen 5 architecture, boasting faster speeds and optimised AI capabilities.
AMD’s CEO Lisa Su noted that the company would continue using Taiwan’s TSMC for manufacturing, and while no new clients were announced, demand for AI chips remains high. With an increased forecast for AI chip revenue, AMD is gearing up to meet surging market demand driven by generative AI.
Numeric, an AI-driven accounting software company co-founded by Parker Gilbert in 2020, is gaining traction for automating the tedious and error-prone process of month-end and quarter-end financial closings. Frustrated with manual accounting work at a startup, Gilbert developed the software to streamline and accelerate the process by using AI to analyse and reconcile data from various accounting systems. Companies like Brex, OpenAI, and Plaid now rely on Numeric for their accounting needs.
In the past year, Numeric’s revenue has grown fourfold, reaching single-digit millions. This growth has attracted significant investor attention, leading to a $28 million Series A funding round led by Menlo Ventures, just five months after raising $10 million in seed funding. The round also saw participation from new investors like IVP and Socii, alongside previous backers such as Founders Fund and Long Journey.
Numeric’s software uses AI to perform flux analysis, identifying changes in financial line items and explaining discrepancies, which saves accountants time and improves accuracy. Although AI currently supports analysis and commentary rather than final calculations, Gilbert expects future versions of the software to expand these capabilities. Menlo Ventures’ Croom Beatty, who led the Series A round, highlighted Numeric’s ability to address complex accounting workflows, setting it apart in a market dominated by established players like BlackLine and FloQast.
A person recently claimed to have used an AI tool called AI Hawk to apply for 2,843 jobs, sparking discussions about the increasing role of automation in the hiring process. The tool automatically generated résumés, wrote custom cover letters, and completed job applications within hours, removing much of the human effort typically required.
AI Hawk is just one example of a growing number of tools designed to help users apply for jobs en masse. This trend highlights a new phenomenon where AI is both filling out applications and, in many cases, reviewing them. In fact, a 2023 survey revealed that 42% of companies use AI to screen and even interview candidates, creating a feedback loop where human involvement is increasingly sidelined. The impact on traditional job seekers who manually apply for positions is still unclear. However, the rise of AI in recruitment could reshape how people search for jobs and how employers identify candidates.
OpenAI reports cybercriminals are increasingly using its AI models to generate fake content aimed at influencing elections. The startup has neutralised over 20 attempts this year, including accounts producing articles on the US elections. Several accounts from Rwanda were banned in July for similar activities related to elections in that country.
The company confirmed that none of these attempts succeeded in generating viral engagement or reaching sustainable audiences. However, the use of AI in election interference remains a growing concern, especially as the US approaches its presidential elections. The US Department of Homeland Security also warns of foreign nations attempting to spread misinformation using AI tools.
As OpenAI strengthens its global position, the rise in election manipulation efforts underscores the critical need for heightened vigilance. The company recently completed a $6.6 billion funding round, further securing its status as one of the most valuable private firms.
ChatGPT continues to see rapid growth, boasting 250 million weekly active users since launching in November 2022, emphasising the platform’s widespread influence.
