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New appointments signal growth for OpenAI

OpenAI has appointed Aaron Chatterji as its first chief economist. Chatterji, a professor at Duke University and former chief economist at the US Commerce Department, will lead research on the economic impact of AI technologies. His focus will include AI’s potential influence on economic growth and employment trends.

Chatterji played a key role in coordinating the Biden administration’s implementation of the 2022 CHIPS Act, which allocated $280 billion towards developing the country’s semiconductor industry. His expertise and political network could benefit OpenAI as it explores designing chips internally.

The announcement also included another significant hire, with Scott Schools joining as chief compliance officer. Schools, previously at Uber and a former associate deputy attorney general, will oversee legal compliance and ethical practices at OpenAI.

These strategic hires reflect OpenAI’s growing ambition to lead AI development responsibly while expanding into new areas, such as chip design, amidst increasing regulatory attention.

AI tools to help diagnose fractures more efficiently

AI could help reduce the number of missed broken bones during X-ray analysis, according to the National Institute for Health and Care Excellence (NICE). The organisation recommends using four AI tools in urgent care settings in England to assist doctors in detecting fractures. This comes as radiologists and radiographers face high vacancy rates, putting a strain on the system.

NICE estimates that missed fractures account for up to 10% of diagnostic errors in emergency departments in the UK. AI is seen as a solution to this problem, working alongside healthcare professionals to catch mistakes that may occur due to heavy workloads. Experts believe using AI can speed up diagnoses, decrease the need for follow-up appointments, and ultimately ease pressure on hospital staff.

AI will not replace human expertise, as radiologists will still review all X-ray images. However, NICE assures that the technology could offer a more accurate and efficient process without increasing the risk of incorrect diagnoses or unnecessary referrals. The consultation period on this proposed use of AI in fracture detection will conclude on 5 November 2024.

AI training could transform Portugal’s workforce by 2030

A recent study by McKinsey highlights that Portugal must retrain around 1.3 million workers, about 30% of its workforce, by 2030 to adopt generative AI and close its productivity gap with the rest of the European Union. Portugal has long struggled with low productivity, which has contributed minimally to GDP growth compared to the EU average. However, the study predicts that by rapidly integrating AI and automation, the country could significantly boost productivity, matching projected EU levels.

Generative AI, which creates content like text and images based on past data, could help Portugal compete with more developed economies if the workforce is prepared for the technological shift. This change will also require the public, private, and education sectors to collaborate in reshaping job roles and work processes. For every euro invested in AI technology, McKinsey suggests that three euros will be needed for managing organisational transitions.

Besides upskilling 1.3 million workers, the study indicates that around 320,000 employees in roles like customer service will need to transition to new jobs. This large-scale transformation could position Portugal for stronger economic growth in the coming years.

AI stress hits workers worldwide

A survey conducted by Wiley reveals that 96% of workers in the US feel stressed about adapting to AI at work. Many employees are grappling with how to integrate the rapidly evolving technology into their daily tasks, with 40% struggling to do so and 75% lacking confidence in their AI skills.

Managers also face challenges in leading AI transitions. Only 34% of people managers feel ready to support their teams effectively, exposing a knowledge gap that could hinder AI adoption. Meanwhile, 80% of employees believe their managers are supportive, though just 60% think their managers possess the expertise to guide them through the process.

Clearer strategies and structured training could ease the pressure. About 61% of employees say training on AI tools would help, while 54% believe a defined organisational strategy would make adoption smoother. Furthermore, 48% suggest that setting clearer expectations around AI use would boost their confidence.

Wiley’s report recommends three strategies for improving AI integration. Organisations are encouraged to define specific AI use cases, improve communication with employees, and provide targeted training for managers to lead their teams through the transition more effectively. Tracey Carney, the lead researcher, stresses the importance of equipping both employees and managers to handle the evolving demands of AI.

Gusto embraces AI by upskilling non-technical staff

Gusto’s co-founder and head of technology, Edward Kim, believes that replacing existing teams with AI engineers is not the best approach for businesses preparing for an AI-driven future. In an interview, Kim emphasised that non-technical team members often have a deeper understanding of customer needs and challenges, making them more effective in guiding the development of AI tools.

At Gusto, non-technical customer experience team members contribute by writing “recipes” that instruct Gusto’s AI assistant, Gus, on how to interact with customers. This approach allows employees to leverage their domain expertise, even without technical skills, to create powerful AI applications. Kim highlighted the success of CoPilot, a customer support tool developed by a former support team member, Eric Rodriguez, who was later promoted to the engineering team. The tool, used by Gusto’s support team, quickly became a game-changer, enhancing efficiency by providing immediate, accurate responses based on the company’s internal knowledge base.

Kim noted that AI tools like Gus empower teams to create solutions without requiring coding knowledge, using natural language instructions. This bottom-up strategy contrasts with the trend of hiring highly specialised AI experts and reflects Gusto’s belief in leveraging domain expertise. As AI continues to evolve at the company, Kim envisions a shift in roles, with more employees focusing on writing AI recipes and fine-tuning prompts rather than direct customer interactions. This approach, he suggests, will enhance customer experiences and free up resources for Gusto to expand its services.

Imogen Heap explores the future of music with AI

Imogen Heap, known for her creative innovations in pop music, is embarking on her most ambitious project yet, a digital twin called Mogen. Powered by AI, Mogen is trained on years of Heap’s data, allowing it to mimic her voice, personality, and creative process. Initially designed for fan interactions, the AI now aims to transform how Heap performs and produces music by integrating real-time improvisation and data-driven collaboration during live shows.

Heap sees Mogen as more than a digital assistant. She envisions it as a tool that can help her streamline her workflow and deepen her creative process. In live performances, Mogen could use biometric and atmospheric data to create hyperreal, immersive experiences for the audience. Heap believes this level of interaction between artist, AI, and fan will pave the way for new, ethically sound ways to collaborate with technology.

The project reflects Heap’s ongoing mission to push the boundaries of music and tech, using AI not just for efficiency but for expanding creative possibilities. While she acknowledges potential risks, Heap is confident that AI can revolutionise the music industry, much like her earlier work with vocoders and innovative production techniques.

Meta unveils Movie Gen in collaboration with Blumhouse

Meta, the owner of Facebook, announced a partnership with Blumhouse Productions, known for hit horror films like ‘The Purge’ and ‘Get Out,’ to test its new generative AI video model, Movie Gen. This follows the recent launch of Movie Gen, which can produce realistic video and audio clips based on user prompts. Meta claims that this tool could compete with offerings from leading media generation startups like OpenAI and ElevenLabs.

Blumhouse has chosen filmmakers Aneesh Chaganty, The Spurlock Sisters, and Casey Affleck to experiment with Movie Gen, with Chaganty’s film set to appear on Meta’s Movie Gen website. In a statement, Blumhouse CEO Jason Blum emphasised the importance of involving artists in the development of new technologies, noting that innovative tools can enhance storytelling for directors.

This partnership highlights Meta’s aim to connect with the creative industries, which have expressed hesitance toward generative AI due to copyright and consent concerns. Several copyright holders have sued companies like Meta, alleging unauthorised use of their works to train AI systems. In response to these challenges, Meta has demonstrated a willingness to compensate content creators, recently securing agreements with actors such as Judi Dench, Kristen Bell, and John Cena for its Meta AI chatbot.

Meanwhile, Microsoft-backed OpenAI has been exploring potential partnerships with Hollywood executives for its video generation tool, Sora, though no deals have been finalised yet. In September, Lions Gate Entertainment announced a collaboration with another AI startup, Runway, underscoring the increasing interest in AI partnerships within the film industry.

Bain and OpenAI to develop AI solutions for key industries

Bain & Company announced it is expanding its partnership with OpenAI to offer AI tools like ChatGPT to its clients. The firms previously formed a global alliance to introduce OpenAI technology to Bain’s clients, and the consultancy has now made OpenAI platforms, including ChatGPT Enterprise, available to its employees worldwide.

Bain is also setting up an OpenAI Centre of Excellence, managed by its own team, to further integrate AI solutions. The partnership will initially focus on developing custom solutions for the retail and healthcare life sciences industries, with plans for expansion into other sectors.

While Bain did not disclose financial details, around 50 employees will be dedicated to this collaboration, as reported by the Wall Street Journal.

Human-level AI still a decade away, Meta scientist warns

Achieving human-level AI may be at least a decade away, according to Meta’s AI scientist, Yann LeCun. Current AI systems, like large language models, fall short of true reasoning, memory, and planning, even though companies like OpenAI market their technologies with terms like ‘memory’ and ‘thinking’. LeCun cautions against the hype, saying these systems lack the deeper understanding required for complex human tasks.

LeCun argues that the limitations stem from how these AI models function. LLMs predict words, while image and video models predict pixels, making them capable of only single or two-dimensional predictions. In contrast, humans operate in a three-dimensional world, able to plan and adapt intuitively. Even the most advanced AI struggles with everyday actions, such as cleaning a room or driving a car, tasks children and teenagers can learn with ease.

The key to more advanced AI, according to LeCun, lies in ‘world models’ – systems capable of perceiving and predicting outcomes within a three-dimensional environment. These models would allow AI to form action plans without trial and error, similar to how humans quickly solve problems by envisioning the results of their actions. However, building these systems requires massive computational power, driving cloud providers to partner with AI companies.

FAIR, Meta’s research arm, has shifted its focus towards developing world models and objective-driven AI. Other labs are also pursuing this approach, with researchers such as Fei-Fei Li raising significant funding to explore the potential of world models. Despite growing interest, LeCun emphasises that significant technical challenges remain, and achieving human-level AI will likely take many years, if not a full decade.

AI platform aims to ease electrician shortage with faster tech installations

With the US facing a growing shortage of electricians, Treehouse, a startup, is using AI to help make installations of electric vehicle (EV) chargers, heat pumps, and other tech more efficient and affordable. As the demand for renewable energy and electrification surges, Treehouse has developed AI models to predict job times, materials needed, and to eliminate unnecessary site visits, which typically slow down the process. By gathering data and asking customers key questions, Treehouse can streamline quoting and installation processes, especially for simpler jobs like EV chargers.

Treehouse uses its AI-driven platform to design installations and assist in permitting, often completing jobs with minimal visits from electricians. For more complex installations, like heat pumps, the company may require additional photos or virtual visits. Treehouse works in 40 states, hiring independent electricians for many of the jobs, and plans to expand its operations across all 50 states by the end of the year. With a recent $16 million Series A funding round, the company aims to improve its AI tools and grow its team.

Founder and CEO Eric Owski believes the electrification trend will continue to reshape how consumers think about home energy, with EV chargers being just the starting point. Treehouse’s partnerships with companies like CarMax and ChargePoint also help boost its reach as it tackles the ongoing electrician shortage.