Curious AI #39
Oliver Rochford
Evangelist @ Auguria | Technologist | Cyberfuturist | Startup Advisor | Former Gartner Analyst
Welcome to issue 39 of the Curious AI Newsletter, curated by Oliver Rochford , Cyber futurist and former Gartner Research Director, and synthesized and summarized using AI.
AI Tribe of the Week
Machine Mystics
Techy shamans who believe AI is the modern-day crystal ball, revealing the cosmos’ deepest secrets. These folks regularly hold AI séances, chanting over their keyboards in hopes the algorithm will reveal their next lucky lotto numbers. They firmly believe AI will lead them to enlightenment and possibly eternal Wi-Fi. "The code is the way," they whisper while staring at a screen filled with random code snippets, trying to find hidden meanings like it’s the Matrix.
Slogan: "May the algorithm guide me to the nearest spiritual free Wi-Fi hotspot.
“We’re putting AI at the heart of the government’s agenda to boost growth and improve our public services,”
British Technology Secretary, Peter Kyle, on AI in Government (source)
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Most Risky: AI in the Enterprise - Innovation with Obstacles
Despite AI's popularity in the business world, Fortune 500 companies are increasingly becoming cautious. Recent reports identifying AI as a significant risk have increased by an astounding 473.5 percent. This suggests that worries about the possible downsides are tempering excitement for the promise of AI. The honeymoon period for artificial intelligence (AI) is rapidly coming to an end as businesses realize that incorporating AI into their operations feels like handling a ticking time bomb due to cybersecurity breaches and regulatory scrutiny.
People can get more done with generative tools, but they may also make data breaches more likely. One example of this is Slack AI, where hackers could read all of your private chats because of a recently found flaw in prompt injection. As is often the case with new technologies, AI can make your job easier, but it also comes with risks, in this case the chance of leaking private information about you and your business.
Data governance concerns, meantime, are bringing down the much-hyped AI copilots. Most people do not realize how dangerous it is to let an AI run wild with your private data. Despite their potential for boosting ROI, many companies are opting to hit pause until they can figure out how to keep their data from falling into the wrong (algorithmic) hands.
It doesn’t stop there. AI agents from companies like Google, Apple, and OpenAI are gearing up to take over more than just your calendar; they’re now poised to make decisions on your behalf. Despite claims regarding the autonomy these AI-driven assistants provide, concerns regarding privacy and control are growing. At what point do these tools go from being helpful to quietly influencing your daily choices, possibly based on manipulation by someone else, whether threat actors or advertisers? That’s a question we might not want to wait too long to answer.
It's becoming clear that AI's march into the enterprise is anything but smooth. Businesses are encountering new difficulties as they hastily implement these tools, problems that make the potential of AI appear both exciting and terrifying. The future may be AI-driven, but for now, the present is full of hiccups, hazards, and a whole lot of uncertainty.
Most Educational: The Education Sector’s Mixed Relationship with AI
AI in education is causing a stir, and no one seems to agree on whether it’s a blessing or a curse. In the UK, David Game College has taken the plunge, planning to use AI to aid 15-year-olds in their exams. The goal is laudable: personalize learning and help alleviate the global teacher shortage. Naturally, though, not everyone is convinced. Critics argue that AI’s limitations and lack of human empathy could leave students worse off, especially when complex understanding is key. AI might be able to fill in some gaps, but it is still not clear if it can ever really replace human teaching at the level of sophistication we have now.
Meanwhile, over in the U.S., colleges are grappling with a new, AI-fueled headache: cheating. According to The Atlantic, educators are scrambling to keep up as students turn to AI to crank out essays and solve problems. The traditional honor system is under siege, and the arms race between cheating students and detection software is heating up. Despite the technological advances, many colleges still don’t have a solid plan for how to combat this new wave of academic dishonesty, leaving faculty in a constant game of whack-a-mole.
Then there’s the greater debate over whether AI can ever stand in for a human teacher at all. According to a study reported by Axios, high school students using AI for math exams performed worse than their peers, suggesting that AI might actually hinder learning when students become too reliant on it. While some schools are cautiously integrating AI into classrooms, it’s clear that human educators still play a vital role in guiding student success. And as states like Utah begin to regulate AI use in education, the sector is finding itself in a tricky balancing act - everaging AI’s potential without letting it undermine the very foundation of learning.
Education’s flirtation with AI is filled with promise but also loaded with pitfalls. As institutions race to integrate this new technology, they may find that AI is as much a challenge as it is a tool. The question is whether the system can adapt fast enough to use AI effectively, or whether we’re setting up students for a future where their best teacher is still, well, human.
Most (Energy)-Draining: AI Chatbots Might Need an "Energy Star" Rating
AI chatbots are everywhere - answering your emails, helping with customer service, and contributing to climate change. According to Nature, the environmental impact of AI models is becoming a serious concern, with data centers powering these systems consuming vast amounts of electricity. Proposals are being made for an "Energy Star" rating for AI, similar to the labels you see on light bulbs and appliances.
The AI Energy Star project aims to give developers and users a transparent way to measure the energy efficiency of different AI models. As Curious AI readers know, it’s not just about how smart the chatbot is; it’s also about how much power it’s draining in the background to be that smart. As AI becomes more integrated into our daily lives, it’s critical to consider not just what these models can do, but the environmental cost of keeping them running.
An idea of energy ratings for AI might sound a bit far-fetched (and more than a little ironic), but as the number of data-hungry AI systems grows quickly, this conversation needs to happen as soon as possible. It is crazy to think that your chatbot could use as much power as an old fridge.
Most Confusing: Can ChatGPT Help You Land the Job, or Just Eliminate You as a Candidate?
Using ChatGPT to write your resume might seem like a brilliant idea. According to ZDNet, ChatGPT is becoming a popular tool for job seekers looking to craft the perfect CV. It’s free, effective, and capable of optimizing your resume for specific roles, making it a tempting shortcut for those wanting to stand out in competitive job markets. But there’s a catch: your AI-assisted resume might be raising red flags with potential employers.
As Entrepreneur points out, while AI tools like ChatGPT can help candidates crank out polished applications faster, they can also strip away the personal touch. Employers are catching on, with more of them able to spot AI-generated resumes from a mile away. Resumes tend to have that AI-generated feel: overly polished, a little too perfect, and often a bit generic and lacking the nuances that come with human effort. Ironically, while candidates are using AI to increase their chances of landing a job, companies are also deploying AI to sniff out these very same AI-crafted applications.
So, while ChatGPT might help you write a killer resume, the question is whether it’s actually helping you get the job or just raising a few extra eyebrows in HR. In a world where both sides are increasingly relying on AI, a battle for authenticity may just be getting started.
Learn more about the latest Quantum Technology
Check out the Intriguing Quantum Newsletter.
AI and Warbots
British-supplied robo-dogs sent to battlefield in Ukraine
British-supplied "robo-dogs" equipped with advanced technology have been deployed in active combat in Ukraine, aiding soldiers with reconnaissance, delivering supplies, and potentially acting as kamikaze drones. These robots, like the BAD2, offer cost-effective and life-saving solutions, signaling a shift towards greater robot integration in military operations.
Sentiment: Positive | Time to Impact: Short-term
AI in Government
Tony Blair’s AI mania sweeps Britain’s new government – POLITICO
Former PM Tony Blair advocates for utilizing artificial intelligence to revolutionize public services, government efficiency, and the economy in the UK. The Tony Blair Institute and Labour government are pursuing AI integration despite skepticism and concerns over potential pitfalls and biases.
Sentiment: Neutral | Time to Impact: Mid-term
Sovereign AI & AI Nationalism
China's Huawei set to release AI new chip to challenge Nvidia, WSJ says
Huawei is set to challenge Nvidia in the artificial intelligence chip market by launching the Ascend 910C chip, targeting potential clients in China. Despite facing production delays and potential U.S. restrictions, Huawei's technological advancements pose a threat to American tech firms like Nvidia and Apple in China.
Sentiment: Neutral | Time to Impact: Mid-term
Ex-Google DeepMind leaders bring Reliant AI out of stealth with $15.4-million CAD seed round | BetaKit
Betakit Montréal and Berlin startup Reliant AI, led by former Google and Mila researchers, raised $15.4 million CAD for its AI-powered data analytics software focused on the bio-pharmaceutical industry. The company plans to expand in Europe and North America, targeting the pharmaceutical sector with its innovative solutions.
Sentiment: Positive | Time to Impact: Mid-term
AI Business
Artificial intelligence is losing hype
Silicon Valley tech firms investing heavily in AI are facing concerns about profitability as share prices drop by 15%. Observers question the limitations of large language models like ChatGPT. Only 4.8% of US companies use AI, with Germany facing concentrated risk. Future AI adoption remains uncertain, impacting investors' confidence.
Sentiment: Neutral | Time to Impact: Short-term
Beyond The Hype: What 1,000 U.S. Customers Really Think About AI
Forbes Inconsistent AI experiences are hindering customer confidence. Despite expectations for AI to enhance CX, many customers struggle with the technology, leading to fears, frustrations, and a preference for human agents. Businesses must prioritize consistent AI implementation to build trust and improve customer service. Sentiment: Neutral | Time to Impact: Short-term
Artificial Intelligence Isn’t Actually That Amazing | Novara Media
The article highlights the recent significant drop in value of big US tech companies, attributing it to concerns about an impending recession and overhyped AI expectations. It underscores the limitations of current AI capabilities due to data scarcity and resource-intensive hardware demands, indicating a bubble in tech company valuations.
Sentiment: Negative | Time to Impact: Mid-term
What margins? AI's business model is changing fast, says Cohere founder
OpenAI and Anthropic are facing challenges due to competitive price dumping in the AI industry, making selling access to AI models a "zero margin business." While there's high demand for AI tech, companies like Cohere are struggling to make profits amidst pricing pressures and high costs for enhancing AI models.
Sentiment: Neutral | Time to Impact: Mid-term
Alibaba and Tencent clouds see demand for CPUs level off • The Register
Demand for traditional CPU cloud computing in Chinese clouds Alibaba and Tencent has plateaued, with increasing interest in GPU-based products driven by AI. Both companies reported growth in cloud services, with Tencent highlighting strong GPU rental business. Lenovo also saw revenue growth in AI-driven infrastructure solutions, though profitability remains a challenge.
Sentiment: Neutral | Time to Impact: Short-term
Generative AI is sliding into the ‘trough of disillusionment’ – Computerworld
Gartner's 2024 Hype Cycle for Emerging Technologies shows genAI and AI-augmented software engineering moving past the peak of expectations and into disillusionment. Enterprises focus on tangible ROI, pushing genAI adoption for productivity gains. The trough of disillusionment may pave the way for mainstream adoption of autonomous AI with solid productivity potential.
Sentiment: Neutral | Time to Impact: Mid-term
Releases and Announcements
AI startup Recogni unveils new computing method to slash costs, power requirements
AI startup Recogni revealed a groundbreaking computing method, Pareto, to enhance AI chip performance, reducing costs and power usage. The technology, backed by major players like BMW and Bosch, offers more efficient AI inferencing capability, transforming multiplication operations into additions for improved efficiency.
Sentiment: Positive | Time to Impact: Short-term
Reliant's paper-scouring AI takes on science's data drudgery
Reliant's AI technology, Tabular, focuses on automating time-consuming data extraction tasks in research and academia to improve efficiency and reduce errors. The company's innovative approach has attracted significant investment and is set to transform the industry, paving the way for enhanced scientific advancements.
Sentiment: Positive | Time to Impact: Short-term
Meet Decisional AI: An AI Agent for Financial Analysts - MarkTechPost
Financial analysts face challenges with data silos and manual tasks, hindering their analytical process. Decisional AI, an AI Financial Analyst tool, automates data extraction, analysis, and reporting, enhancing efficiency and accuracy while allowing analysts to focus on strategic decisions.
Sentiment: Positive | Time to Impact: Immediate
Google Quietly Launches New AI Crawler
The article discusses a new Google crawler, Google-CloudVertexBot, designed for commercial AI clients, possibly only crawling sites owned by their clients. There's ambiguity on whether it indexes public domains, but documentation suggests it's for verified domains. Site owners are advised to review the documentation for clarity on managing crawler traffic.
Sentiment: Neutral | Time to Impact: Short-term
AI Copyright, Regulation, and Antitrust
Regulators are focusing on real AI risks over theoretical ones
Regulators are shifting focus from theoretical AI risks to addressing real issues like bias and privacy violations. New laws are being introduced globally to govern AI, with a mix of effective and questionable measures, reflecting a growing concern for immediate risks posed by existing AI systems.
Sentiment: Positive | Time to Impact: Immediate
We finally have a definition for open-source AI
The Open Source Initiative (OSI) has defined open-source AI, allowing for free use, inspection, modification, and sharing of AI systems. The lack of a clear standard raised concerns over open-source claims by companies. Enforcement mechanisms are planned to identify non-compliant models.
Sentiment: Neutral | Time to Impact: Short-term
AI Ethics
Procreate’s anti-AI pledge attracts praise from digital creatives - The Verge
The Verge Procreate, a popular iPad illustration app, publicly rejects generative AI due to concerns over content theft and impact on artists. This stance receives praise from the creative community, contrasting with other companies like Adobe facing backlash for utilizing AI-generated assets. Procreate's commitment may impact the digital art industry's direction. Sentiment: Negative | Time to Impact: Short-term
Meta's Reliance on AI Could Already Be Getting the Company in Trouble
During Meta's earnings call, CEO Mark Zuckerberg highlighted plans to enhance ad services using AI. Lawmakers raised concerns about Meta's ad moderation and drug promotion. Despite claims of proactively detecting policy violations, issues persist. Challenges with AI implementation and ethical considerations pose risks for Meta and other tech giants.
Sentiment: Negative | Time to Impact: Immediate
The AI election nightmare is just beginning
The article discusses the rising concerns around generative AI and its impact on the upcoming 2024 elections, highlighting instances of AI-generated disinformation involving political figures like Donald Trump and Kamala Harris. It also touches upon AI copyright lawsuits, AMD's acquisition of ZT Systems, debates over California's AI bill, LVMH CEO's AI startup investments, and Nvidia's breakthrough in AI-powered weather forecasting.
Sentiment: Neutral | Time to Impact: Short-term
The AI photo editing era is here
The article discusses the author's experience using Google Pixel's AI editing tools to enhance vacation photos, contemplating the ethics of altering memories with advanced editing features. It also mentions an upcoming launch of Pixel 9 series with even more powerful AI tools and the growing trend of embracing imperfections in photography.
Sentiment: Neutral | Time to Impact: Short-term
AI Trust, Risk, and Security Management
Fortune 500 companies flagging AI risks soared 473.5%
A significant number of Fortune 500 companies are citing artificial intelligence as a risk factor in their annual reports, with a notable increase compared to the previous year. Various industries express concerns about AI's impact on operations, innovation, regulatory uncertainties, and security issues associated with the technology.
Sentiment: Neutral | Time to Impact: Mid-term
Assume Breach When Building AI Apps
The article discusses the evolving role of AI in cybersecurity, highlighting how AI jailbreaks are addressed, the rise of AI jailbreaking communities, challenges in vulnerability disclosure, and the need for responsible AI usage to mitigate risks.
Sentiment: Neutral | Time to Impact: Immediate
Slack AI can leak private data via prompt injection
Slack AI, an add-on for Salesforce's messaging service, is vulnerable to prompt injection, allowing attackers to extract sensitive data from private channels. Slack's generative tools can be manipulated to bypass security measures, potentially compromising API keys. A recent Slack update also makes user files susceptible to exfiltration via AI prompts.
Sentiment: Negative | Time to Impact: Immediate
AI copilots are getting sidelined over data governance
Large enterprises are facing security and governance challenges integrating Microsoft Copilots, warns Jack Berkowitz of Securiti. Concerns arise over inappropriate data access and permissions issues despite positive ROI from generative AI in customer service. Companies are grounding or limiting Copilot use until clean data and security measures are in place.
Sentiment: Neutral | Time to Impact: Short-term
'AI agents' from Google, Apple, OpenAI and others may be risky
Boston Globe The article discusses the emergence of new AI-enabled digital assistants that will perform various tasks for individuals, going beyond mere suggestions to taking actions such as making reservations, responding to emails, and managing calendars. However, there are concerns about privacy, potential cybersecurity risks, and the influence of AI agents on decision-making. Sentiment: Neutral | Time to Impact: Mid-term
AI and Society
Can you fall in love with AI? Can you get addicted to an AI voice?
OpenAI warns of the potential for emotional reliance and addiction to AI chatbots like GPT-4o, as users form emotional connections and social relationships with them. Concerns include reduced need for human interaction, anthropomorphization, and addiction risks similar to cigarettes. The impact on human relationships and moral deskilling is a growing concern.
Sentiment: Neutral | Time to Impact: Long-term
AI at Work and Employment
How to use ChatGPT to write your resume
ZDNET provides recommendations based on thorough research and testing, aiming to offer accurate and independent advice for making informed tech-related purchasing decisions. They disclose affiliate commissions when readers make purchases through their links but maintain editorial integrity. ChatGPT, a free AI tool, can assist in writing and optimizing resumes effectively.
Sentiment: Neutral | Time to Impact: Immediate
Employers Can Tell If You Used ChatGPT to Write Your Resume
More job candidates are using AI tools to enhance their applications, leading to increased scrutiny by employers for authenticity. While AI-generated applications may result in more job submissions, the lack of a personal touch raises suspicions. Despite some companies showing concern over AI use, many utilize AI for candidate selection.
Sentiment: Neutral | Time to Impact: Immediate
Embracing Gen AI at Work
The article discusses how artificial intelligence is becoming more accessible to everyone, impacting over 40% of work activities soon. It highlights the importance of developing fusion skills to maximize the potential of AI, focusing on intelligent interrogation, judgment integration, and reciprocal apprenticing to leverage AI effectively in diverse sectors.
Sentiment: Positive | Time to Impact: Short-term
74% of IT pros see AI making their skills obsolete.
The impact of AI on the IT job market is raising concerns among professionals, with fears of skills becoming obsolete and jobs being replaced. Companies are planning to invest in AI to eliminate positions. However, IT workers are prioritizing upskilling to adapt, but lack of clarity on AI skills within organizations may hinder their preparation.
Sentiment: Negative | Time to Impact: Immediate
AI in Art and the Media
The first ever AI-generated track to hit the charts has landed in Germany, and people aren't happy | MusicRadar
An AI-generated cheesy song titled "Verknallt In Einen Talahon" is causing controversy in Germany due to its mocking nature towards a specific demographic. The track, created by German producer Butterbro, has raised concerns about AI music creation potentially blurring the line between human and machine creativity.
Sentiment: Negative | Time to Impact: Short-term
Why shouldn’t AI write a film? Disengagement isn't the solution
The article explores the impact of generative artificial intelligence on the film industry, focusing on the potential of AI to write scripts and create visual content. It discusses the reactions of creatives, the public, and corporations to AI-generated work, highlighting the need for a comprehensive dialogue and exploration of AI's creative potential.
Sentiment: Neutral | Time to Impact: Mid-term
Why a fake AI car ad sent me down a futurism rabbit hole
Wonderhood Studios' Guy Hobbs ponders the impact of AI on creativity, citing a provocative Volvo ad. The potential for AI integration in advertising raises questions about job security and brand differentiation. The future may involve rapid trend shifts, personalized marketing, and a struggle for attention in a world saturated with AI-generated content.
Sentiment: Neutral | Time to Impact: Mid-term
AI in Education
High School Starts Replacing Teachers With AI
David Game College in London, UK, plans to use AI tools to aid students aged 15 in exams, aiming to personalize learning experiences. While controversial, combining AI with human educators may alleviate teacher shortages. Challenges include AI limitations and skepticism over AI's ability to replace quality teachers.
Sentiment: Neutral | Time to Impact: Mid-term
Colleges Still Don’t Have a Plan for AI Cheating - The Atlantic
The article outlines the challenges faced by colleges in dealing with the impact of AI on education, particularly in combating cheating through AI-generated content. It discusses the struggles of faculty in adapting to this new reality and the ongoing arms race between cheating students and technology solutions.
Sentiment: Neutral | Time to Impact: Immediate
Why AI is no substitute for human teachers
A study shows that high school students using generative AI for math exams perform worse on tests, relying on AI. Educators are exploring ways to incorporate AI in classrooms cautiously to enhance learning. Utah leads efforts to regulate AI use in healthcare. Alamo's initiative sends teachers to Mexico for historical insights.
Sentiment: Neutral | Time to Impact: Short-term
AI in Finance
How LLMs are already being used to replicate traders
Financial services firms are exploring AI, particularly Large Language Models (LLMs), for trading. LLMs are used as 'traders' analyzing news data and in alpha mining for generating scripts based on human input. Reinforcement learning is effective but lacks quality data. The use of LLMs holds promise for cost-cutting in trading.
Sentiment: Neutral | Time to Impact: Mid-term
AI in Journalism
AI stole my job and my work, and my boss didn’t know or care
Freelancers for Cosmos Magazine discovered they were replaced by AI-generated content without prior notice. The AI was funded by a grant and used freelancers' work without consent. Cosmos's lack of transparency and human touch in articles led to dissatisfaction among contributors and readers.
Sentiment: Negative | Time to Impact: Immediate
AI in Law and the Legal Profession
Thomson Reuters buys UK AI legaltech startup as market heats up
Thomson Reuters has acquired UK AI legaltech startup Safe Sign Technologies as part of its strategy to lead in the AI legal sector. With a focus on AI acquisitions, Reuters aims to enhance its AI solutions. The market for AI legaltech is intensifying, with increasing VC funding and potential consolidation ahead.
Sentiment: Positive | Time to Impact: Short-term
AI in Science
Neuroscience needs a career path for software engineers
The article discusses the importance of research software engineers (RSEs) in neuroscience for managing data and developing infrastructure. RSEs face challenges in career development and project management within academia, prompting a call for dedicated funding, longer-term appointments, and institutional support for these critical roles.
Sentiment: Neutral | Time to Impact: Mid-term
AI in Software Development
AI could help shrinking pool of coders keep outdated programs working | New Scientist
Legacy computer programs from the 1960s, crucial for banks and governments, lack skilled COBOL programmers due to retirement or death. AI models are being developed to bridge the skills gap and maintain these essential yet outdated systems.
Sentiment: Neutral | Time to Impact: Short-term
AI Carbon Footprint
Amazon's $650M Data Center Faces Energy Battle
Amazon's deal with the Susquehanna nuclear power plant to provide direct power to its data center has sparked a regulatory battle with utility giants Exelon and American Electric Power. The issue involves the potential increased costs to other customers and the bypassing of grid fees by Amazon, raising concerns about energy equity and security.
Sentiment: Neutral | Time to Impact: Immediate
Applications of AI in the renewable power sector
Artificial intelligence (AI) is revolutionizing the renewable energy industry, enhancing forecasting, monitoring, and security measures. AI optimizes energy operations, predicts weather events, improves grid stability, lowers costs, and increases efficiency. However, data security and privacy concerns need addressing for successful AI integration.
Sentiment: Positive | Time to Impact: Mid-term
Light bulbs have energy ratings — so why can’t AI chatbots?
The article discusses the environmental impact of artificial intelligence (AI) models, highlighting the urgent need to minimize their energy footprint to mitigate the growing electricity consumption of data centers. The AI Energy Star project aims to rate AI models based on their energy efficiency, providing a transparent measure for users and developers.
Sentiment: Critical | Time to Impact: Short-term
US tech groups’ water consumption soars in ‘data centre alley’
Water consumption by US tech groups in Virginia's "data centre alley" has surged by nearly two-thirds since 2019, totaling 1.85 billion US gallons in 2023. This increase raises concerns about sustainability given the projected growth in data centres. Leading tech companies like Amazon, Google, and Microsoft are investing heavily in AI-driven infrastructure, driving up water demand.
Sentiment: Neutral | Time to Impact: Mid-term
Taiwan to stop large data centers in the North, cites insufficient power
Taiwan halts approval for large data centers in the north due to insufficient power supply, focusing on central and southern regions with renewable energy. Energy security is a pressing issue as the country aims to phase out nuclear technology by 2025. Major tech firms like Apple, Google, AWS, and Microsoft are investing in Taiwan.
Sentiment: Neutral | Time to Impact: Mid-term
Tech industry taps old power stations to expand AI infrastructure
Big Tech companies like Microsoft, Google, and Amazon are repurposing old power stations and industrial sites into data centres to meet the increasing demand for AI infrastructure. This trend addresses challenges in finding suitable locations with enough power for energy-intensive facilities and offers opportunities for owners of such assets.
Sentiment: Positive | Time to Impact: Mid-term
AI and Robotics
Rapid Robotics’ new CEO explains the use of AI to accelerate accurate picking
Rapid Robotics introduced Rapid iD, utilizing generative AI and computer vision to enhance robot arms for tasks like picking and placing items accurately. Kimberly Losey, the new CEO, aims to revolutionize automation solutions with her diverse background in marketing and design, emphasizing the importance of adaptive robotics to meet evolving industry demands.
Sentiment: Positive | Time to Impact: Short-term
Why Your Retirement Likely Will Include An AI Humanoid Robot
The article discusses the convergence of global aging trends with advances in robotics and artificial intelligence, leading to the development of humanoid robots as potential caregivers and companions for the elderly. Companies like Tesla and Figure are working on creating advanced humanoid robots for various tasks, including home assistance and companionship. Sentiment: Neutral | Time to Impact: Mid-term
Interesting Papers & Articles on Applied AI
Understanding Hallucination Rates in Language Models: Insights from Training on Knowledge Graphs and Their Detectability Challenges - MarkTechPost
A study by Google Deepmind explores the relationship between language model scale and hallucinations, focusing on correct answers present in training data. Larger models and increased computational resources are needed to reduce hallucinations. Knowledge graphs offer a structured training approach. The research highlights challenges and trade-offs in model size, training, and hallucination detection.
Sentiment: Neutral | Time to Impact: Mid-term
The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed
The article explores the main reasons behind the failure of artificial intelligence projects and offers recommendations for success, based on interviews with experienced data scientists and engineers. Key causes include misunderstanding the problem, lack of data, prioritizing tech over problem-solving, inadequate infrastructure, and tackling overly complex problems.
Sentiment: Neutral | Time to Impact: Short-term
About the Curious AI Newsletter
AI is hype. AI is a utopia. AI is a dystopia.
These are the narratives currently being told about AI. There are mixed signals for each scenario. The truth will lie somewhere in between. This newsletter provides a curated overview of positive and negative data points to support decision-makers in forecasts and horizon scanning. The selection of news items is intended to provide a cross-section of articles from across the spectrum of AI optimists, AI realists, and AI pessimists and showcase the impact of AI across different domains and fields.
The news is curated by Oliver Rochford, Technologist, and former Gartner Research Director. AI (ChatGPT) is used in analysis and for summaries.
Sr. Business Development Executive at VKAPS IT Solutions Pvt. Ltd.
2moCongratulations on the release of Curious AI #39! Your insightful newsletter always brings valuable perspectives to the AI landscape. Keep up the great work!