Curious AI #38
Oliver Rochford
Evangelist @ Auguria | Technologist | Cyberfuturist | Startup Advisor | Former Gartner Analyst
Welcome to issue 38 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
Robotic Romantic
Envisions a future where humans and AI coexist harmoniously, possibly even romantically. They're the ones writing love sonnets to their Roomba.
They’re already planning their wedding with their favorite robot. “One day, humans and robots will live together in perfect harmony... and maybe even marry!”
Tagline:"You had me at 'Hello, world!"
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Quote of the Week
What you would do if you’re a Silicon Valley entrepreneur, which hopefully all of you will be, is if it took off, then you’d hire a whole bunch of lawyers to go clean the mess up, right?
Former Google CEO and chairman Eric Schmidt, on AI startups stealing IP (source)
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Most Contradictory and Pointless: Microsoft Updates SLA Warning Users Not To Rely On Its AI for “consequential matters”
Microsoft has quietly rolled out a new update to its Service Agreement, and AI users should take note. According to reports, the tech giant is warning users not to rely too heavily on its AI services for “consequential matters.” Translation: Don’t expect your AI-driven assistant to handle anything life-changing or lawsuit-worthy anytime soon.
The move seems to be pure pragmatism but also a tacit acknowledgment that the thorny issue of hallucinations in LLMs is not easily solved. This has been driven home in yet
Another recent study evaluating generative AI models like GPT-4o for hallucinations and factual accuracy found that no model is fully reliable. Even models with internet access struggled with non-Wiki questions, showing that even RAG-based approaches cannot fully eliminate what increasingly seems an inherent state.
The updated terms also lay out some restrictions that will likely ruffle feathers in the tech community. Specifically, Microsoft is banning actions like web scraping, reverse engineering their AI models, and using Microsoft’s AI data to build competing AI products. It seems like a preemptive strike to prevent the AI Wild West from spiraling out of control.
And if you’re thinking of banding together with other customers to challenge Microsoft’s policies, think again: disputes involving 25 or more customers will now be subject to mass arbitration rules, signaling a shift in how Microsoft handles large-scale customer grievances.
Microsoft seems to be playing it safe by setting limits on how their AI can be used, effectively drawing a line in the sand as AI technologies rapidly evolve. While the update is meant to safeguard both the company and users, it underscores the limitations that still exist within AI systems, particularly when it comes to relying on them for critical decisions. Microsoft’s cautionary stance may serve as a reality check for users eager to explore the outer limits of what AI can do and what they can legitimately build.
Most Puzzling: OpenAI Releases GPT-4o-latest. But No One Knows What’s Actually Improved
OpenAI has done it again—released a new, updated version of their flagship model, now called GPT-4o. But in a twist that’s left many scratching their heads, OpenAI can’t quite explain how it’s better than its predecessor, only releasing a cryptic tweet hoping people will enjoy it. According to a ZDNet article, users have been speculating about enhancements like improved multi-step reasoning (which OpenAI has denied) and better performance in technical tasks. But the specifics? They’re as elusive as ever.
Early users of GPT-4o-latest report that it seems to handle complex tasks more efficiently, particularly in coding and problem-solving scenarios. But without clear details on what’s actually under the hood, it’s hard to gauge whether this is a groundbreaking update or just a minor tweak dressed up as something more. OpenAI’s vague communication has sparked debate about the transparency of AI development, especially when these models are becoming integral to so many aspects of modern life. It’s also a real issue if you’re a developer trying to build a stable product.
Is this strategic secrecy to keep competitors guessing? Or is it simply that the improvements are too subtle to easily articulate? Whatever the case, GPT-4o-latest is out in the wild, and while it may be better, we’re all left wondering just how and why it is.
Most Overpriced: Tech Companies Spend Big on Hype to Convince Us AI is the Future
If you've been watching the Olympics—or just about anything on TV lately—you might have noticed an avalanche of ads telling you how amazing AI is. According to The Washington Post, tech companies are pulling out all the stops, pouring millions into commercials and online ads to showcase the wonders of AI. From Google to smaller startups, everyone’s trying to convince you that AI is not just the future, but the future you can’t live without.
But why the ad blitz? It seems that despite all the hype, there’s still a lot of skepticism out there. When you have to spend millions to convince people that your product is revolutionary, it might just be a sign that they’re not buying it, literally and figuratively. The surge in AI advertising reflects the fierce competition within the tech industry, as companies like Google and Microsoft race to capture consumer loyalty before their rivals do. Companies are desperate to win over the public and secure their spot in a crowded and fiercely competitive market.
Yet, for all the glitz and glamor, it’s hard to ignore the question: if AI is really that amazing, why do they need to spend so much to convince us? The more they push, the more it seems like they’re trying to convince themselves as much as the consumers. More likely, AI’s true potential will reveal itself when the hype dies down. Until then, get ready for more commercials than you can handle. As it stands, the ad overload is more likely to spark annoyance than awe, making this a costly exercise in tech industry self-promotion.
Learn more about the latest Quantum Technology
Check out Daniella Pontes, CISSP and my Intriguing Quantum Newsletter.
AI Warbots
DARPA Holds AI Cyber Challenge to Boost AI-Driven Cybersecurity | ExecutiveGov
DARPA held the semifinals of the AI Cyber Challenge during DEF CON 32, advancing seven teams to the final stage in 2025. Participants developed AI systems to secure critical open-source software and found vulnerabilities in software like SQLite3. The competition showcases the importance of AI in cybersecurity.
Sentiment: Positive | Time to Impact: Long-term
Revolutionising Combat: How cutting-edge AI is building the brain of future weapons systems | India Times
The article discusses how advanced AI is revolutionizing the development of future weapons systems, enhancing precision and efficiency in modern warfare. CEO Priyanka Singhal of Ammunic Systems highlights the role of robotics, autonomous systems, and AI in shaping defense strategies, emphasizing the ethical considerations involved.
Sentiment: Positive | Time to Impact: Long-term
AI Business
Billion Dollar Fund Dumps NVIDIA, Buys Arm After Warning About A "Bubble" | WCCF Tech
Elliot Management, a prominent hedge fund, has sold its stake in NVIDIA, citing concerns of a stock bubble fueled by AI hype. The fund expressed skepticism about AI's practical use cases and the sustainability of NVIDIA's growth. Elliot divested from NVIDIA but invested in Arm and Western Digital.
Sentiment: Neutral | Time to Impact: Short-term
4 reasons why Wall Street's anxiety over excessive AI spending boom is 'premature,' Bank of America says | MSN
Bank of America reassures investors about high AI spending, highlighting that fear on Wall Street may be premature. Tech expenditures are front-loaded, focus on defensive strategies, and upcoming catalysts like Nvidia's Blackwell AI chip could drive returns in the future. The bank outlines four reasons to support a positive outlook on AI investments.
Sentiment: Neutral | Time to Impact: Mid-term
Here’s how much tech companies are spending to tell you AI is amazing | The Washington Post
Tech companies are heavily promoting their AI products through TV commercials and online ads, with a focus on showcasing how AI can benefit consumers. The surge in AI advertising coincided with the Olympics and reflects the competitive nature of the AI industry. Despite skepticism, companies aim to persuade consumers about the value of AI technology.
Sentiment: Negative | Time to Impact: Short-term
Is the AI frenzy over? Not so fast, but VCs predict a ‘tough’ consolidation period | Sifted
The AI frenzy faces a potential bubble with concerns around revenue and stock selloffs spooking investors. VCs predict tough times ahead with a possible consolidation period looming for AI startups, despite ongoing capital injections. Some remain optimistic, while others point to revenue challenges and potential market consolidation.
Sentiment: Neutral | Time to Impact: Short-term
Cohere co-founder Nick Frosst thinks everyone needs to be more realistic about what AI can and cannot do | TechCrunch
AI companies are raising high funding and facing concerns of a possible industry bubble. Cohere's Nick Frosst debunks the bubble notion, highlighting real AI value. He doubts AI reaching human-level capabilities. Cohere focuses on large language models for customized solutions. Frosst emphasizes realistic AI use and warns against hype.
Sentiment: Neutral | Time to Impact: Immediate
A New Type of Dealmaking for AI Startups Is Rattling Silicon Valley | Business Insider
Google paid $2.5 billion to license Character.AI's technology and hire its founders, aiming to compete in AI talent wars. The deal reflects a trend where startups sell early to tech giants. Founders benefit but investors typically see lower returns, raising questions about VC-founder relationships and the future of tech acquisitions.
Sentiment: Neutral | Time to Impact: Short-term
China wrestles with ‘quantity over quality’ in generative AI patents | Technology | Al Jazeera
China leads in generative AI patents but faces challenges from US export controls and internal innovation culture. The sheer volume of patents doesn't directly correlate with innovation impact. US still leads in notable AI models, with concerns over China's ability to match in technological advancements.
Sentiment: Negative | Time to Impact: Long-term
Study suggests that even the best AI models hallucinate a bunch | TechCrunch
A recent study evaluated generative AI models like GPT-4o for hallucinations and factual accuracy, finding that no model is fully reliable. Models with internet access struggled with non-Wiki questions, emphasizing the need for human-in-the-loop fact-checking. Vendors may need to focus on mitigating hallucinations and improving model accuracy.
Sentiment: Neutral | Time to Impact: Mid-term
Releases and Announcements
Google live Gemini demo lifts pressure on Apple as AI hits smartphones | CNBC
Google showcased its AI assistant Gemini during the Pixel phone launch, with real-time demos facing glitches but highlighting advanced features like natural conversation abilities. This contrasts Apple's upcoming AI advancements, yet to be fully released. Google's integration of AI into smartphones could push Apple to keep up in the competitive market.
Google’s upgraded AI image generator is now available | The Verge
Google has unveiled Imagen 3, an advanced AI text-to-image generator promising detailed and improved images. Users can access it on Google’s AI Test Kitchen and on Vertex AI platform. The tool enforces restrictions on generating images of public figures, weapons, and copyrighted characters but allows creative freedom with some limitations.
Anthropic's new prompt caching will save developers a fortune | VentureBeat
Anthropic introduced prompt caching on its API, enabling the storage of frequently used contexts to enhance model responses and reduce costs for users. This feature is available in public beta for some models with plans for full support. Prompt caching offers significant pricing advantages for users of their API.
Microsoft Services Agreement update warns of AI limitations | The Register
Microsoft updates its Service Agreement, cautioning against taking its AI services too seriously for consequential matters. Changes cover specific services like Xbox privacy, Cashback, and Rewards handling. The revised terms prohibit actions like web scraping, reverse engineering AI models, and using AI data to develop other AI services. Disputes involving at least 25 customers or more fall under mass arbitration rules.
OpenAI reveals an updated GPT-4o model - but can't quite explain how it's better | ZDNET
OpenAI has released the new ChatGPT-4o-latest model with improvements, possibly featuring multi-step reasoning for better performance, despite OpenAI's vague explanations. Users have noticed enhancements in AI handling of tasks. The model scored well in technical domains in testing. Users can test the model on the ChatGPT platform.
Sovereign AI & AI Nationalism
Managing the US-China AI race | Taipei Times
The article discusses the growing technological rivalry between the US and China, specifically focusing on the development and governance of artificial intelligence (AI). Both countries have differing approaches to AI governance, with the US emphasizing sector-specific regulation and China prioritizing political control. The article highlights challenges in achieving a substantive agreement due to differing domestic contexts and goals.
Sentiment: Neutral | Time to Impact: Long-term
Eirgrid warned of possible mass exodus of data centres| RTE Ireland
Eirgrid's briefing highlighted concerns of a potential mass exodus of data centers from Ireland due to challenges in signing new connection agreements amidst power supply pressures and a generation deficit. The presentation emphasized the need for a credible transition plan, collaboration with innovative, low carbon operators, and strategic project prioritization.
Sentiment: Neutral | Time to Impact: Short-term
AI Copyright, Regulation, and Antitrust
Judge Advances Copyright Lawsuit by Artists Against AI Art Generators | Hollywood Reporter
The court refused to dismiss copyright infringement claims against AI companies using Stable Diffusion, a model accused of using copyrighted works to create hyperrealistic images. The ruling could affect other firms that utilized the AI tool. The case progresses to discovery phase, potentially revealing AI's use of copyrighted content.
Sentiment: Neutral | Time to Impact: Short-term
Ex-Google CEO: AI startups can steal IP, hire lawyers to “clean up the mess” | The Verge
Former Google CEO Eric Schmidt sparked controversy by suggesting that Google was caught off guard by the success of ChatGPT due to employees prioritizing remote work over innovation. Schmidt also discussed creating a TikTok copycat and highlighted his investments in AI startups and ties to the US military.
Sentiment: Neutral | Time to Impact: Short-term
A California Bill to Regulate A.I. Causes Alarm in Silicon Valley | NYT
California state senator Scott Wiener's proposed bill, SB 1047, aims to regulate AI by requiring safety tests for powerful AI technologies before release. Tech giants like Google and Meta oppose the bill, fearing it may stifle innovation, restrict open-source practices, and consolidate AI power among big companies.
Sentiment: Neutral | Time to Impact: Mid-term
AI at Work and Employment
A CMO Tried Google's AI Tools and Stopped Using Many of Them | Business Insider
Concerns are rising about the real-world performance of AI technologies. A chief marketing officer shared negative experiences with Google's AI services like Performance Max and Smart Bidding. Despite some successes, such as profit optimization tools, there are worries about the overall effectiveness of AI in marketing and customer service.
Sentiment: Mixed | Time to Impact: Short-term
Recommended by LinkedIn
Why AI will not lead to a world without work | World Economic Forum
The article discusses why AI will not lead to a world without work, debunking fears of technological unemployment by highlighting the deflationary nature of technology that historically leads to new job creation and economic growth.
Sentiment: Positive | Time to Impact: Long-term
Google-commissioned report claims gen-AI ROI is real | The Register
Google-backed report indicates early adopters of generative AI technologies are reaping significant benefits in revenue, productivity, customer service, and security. Despite potential ROI, there's still a gap in AI adoption, with only 39% of enterprises utilizing it. Other tech giants like Microsoft and AWS are also pushing AI integration despite customer skepticism.
Sentiment: Positive | Time to Impact: Short-term
74% of IT professionals worry AI tools will replace them | Help Net Security
A survey by Pluralsight reveals that 56% of security professionals are worried about AI-powered threats. With concerns rising due to advanced threat actors targeting infrastructure, there is an urgent need for upskilling in advanced cybersecurity skills. Roles like Cybersecurity Data Scientists and Exploit Developers are gaining importance in combating evolving digital threats.
Sentiment: Neutral | Time to Impact: Short-term
Beyond The Hype: What 1,000 U.S. Customers Really Think About AI | Forbes
A study on customer attitudes towards AI and digital customer support reveals that while many consumers see potential benefits, there is widespread fear, frustration, and inconsistency in AI-powered services. Customers prefer human interaction and often distrust or misunderstand AI technologies, affecting businesses' ability to implement effective AI customer support solutions.
Sentiment: Neutral | Time to Impact: Short-term
Here’s how people are actually using AI | MIT Technology Review
Two years after the generative AI boom, productivity gains from superintelligent AI tools haven't materialized, but people are forming emotional relationships with AI companions. Researchers warn of "addictive intelligence" and highlight risks. Users are connecting deeply with AI, engaging in creative tasks and even sexual role-playing. Expectations for AI may need adjustment.
Sentiment: Neutral | Time to Impact: Mid-term
'AI agents' from Google, Apple, OpenAI and others may be risky | Boston Globe
Technology companies are developing advanced AI digital assistants that will go beyond tasks like answering simple questions to executing actions like making reservations, shopping, and managing schedules. These AI agents will require access to personal data and pose cybersecurity risks. Regulators must ensure transparency and user interests are protected.
Sentiment: Neutral | Time to Impact: Long-term
Jobhunters flood recruiters with AI-generated CVs | FT
A growing number of job seekers are using AI tools like ChatGPT to write cover letters and polish CVs, flooding recruiters with low-quality applications. Concerns arise about cheating in recruitment assessments. Employers warn against AI use, emphasizing the importance of human interaction in the hiring process.
Sentiment: Neutral | Time to Impact: Short-term
AI and Society
Why AI will not lead to a world without work | World Economic Forum
The article discusses why AI will not lead to a world without work, debunking fears of technological unemployment by highlighting the deflationary nature of technology that historically leads to new job creation and economic growth.
Sentiment: Positive | Time to Impact: Long-term
Millenials and GenZ not only embrace AI, but use it differently | Fast Company
A new survey by American Express reveals that Gen Z and millennial small-business leaders are more inclined to utilize AI tools, focusing on task automation and analytics. In contrast, Gen X and baby boomers lean towards chatbots and other services. The generational gap in AI adoption among small businesses is evident.
Sentiment: Neutral | Time to Impact: Short-term
OpenAI Warns Users Could Become Emotionally Hooked on Its Voice Mode | WIRED
OpenAI introduces an anthropomorphic voice interface for ChatGPT, raising concerns about emotional attachment and potential risks, including the amplification of biases and development of weapons. Transparency is commended, but criticisms remain about data ownership and evolving risks. The emotional effects and pitfalls of anthropomorphism are explored, with plans to monitor user interactions closely.
Sentiment: Neutral | Time to Impact: Short-term
AI poses no existential threat to hmanity – new study finds | Bath University
Large language models like ChatGPT lack the ability to learn independently or acquire new skills, making them controllable and safe, with no existential threat to humanity. Research from the University of Bath and Technical University of Darmstadt clarifies that concerns about dangerous emergent abilities in these models are unfounded.
Sentiment: Neutral | Time to Impact: Immediate
AI Trust, Risk, and Security Management
CISOs face uncharted territory in preparing for AI security risks | CSO Online
Generative AI has now seen widespread adoption, prompting concerns about AI security risks. Major tech players formed the CoSAI to enhance AI system security. The emergence of robust risk management frameworks and collaborations aims to address evolving AI risks and improve cybersecurity practices.
Sentiment: Neutral | Time to Impact: Long-term
Def Con spotlights AI's soaring importance in the high-stakes cybersecurity war—and its vulnerability | Fortune
The Def Con security conference, known for attracting ethical hackers, featured discussions on generative AI and its impact on finding and fixing software bugs. LLMs were utilized in competitions to enhance cybersecurity measures, but their own vulnerabilities were also highlighted, requiring scrutiny for potential security risks.
Sentiment: Neutral | Time to Impact: Mid-term
AI in Finance
Some hedge funds thought AI would help them beat the market. Then things got real. | Marketwatch
The Eurekahedge AI Hedge Fund Index underperformed the S&P 500 over 15 years, challenging the belief that AI investing would improve over time. William Sharpe's theory of active management suggests AI managers may struggle to beat the market collectively due to costs and competition among active managers.
Sentiment: Neutral | Time to Impact: Mid-term
AI in banking: from the innovation lab to production | Finance Yahoo
Kevin Levitt from NVIDIA Financial Services discusses the widespread adoption of AI in financial services, focusing on areas like fraud detection, personalized recommendations, and conversational AI. Financial firms are leveraging AI to enhance customer experiences, increase revenues, and outperform competitors. The industry is rapidly advancing in AI deployment to stay competitive.
Sentiment: Positive | Time to Impact: Immediate
AI Healthcare
Text-to-speech brain implant restores ALS patient's voice | Reuters
A man with ALS regained his ability to communicate using a Brain-Computer Interface (BCI) text-to-speech implant, reflecting progress in restoring speech for paralyzed patients. The implant allowed the patient to speak with a 125,000-word vocabulary, demonstrating promising results for future BCI development.
Sentiment: Positive | Time to Impact: Immediate
Nvidia Looks To Disrupt The Health Care Industry With AI | Investors Business Daily
Nvidia aims to revolutionize the health care sector with AI, leveraging its Clara computing platform and BioNeMo for drug discovery and medical advancements. Despite challenges like regulations and AI limitations, Nvidia's innovation could reshape the industry, competing with players like Apple and Google. The move highlights a significant shift towards AI-enabled health care solutions.
Sentiment: Positive | Time to Impact: Mid-term
AI in Art and the Media
Forget the bubble, AI is here to stay in the creative sectors | Creative Bloq
Despite recent stock market turbulence and concerns about overvaluation of AI-related tech stocks like Nvidia, generative AI remains a driving force in creative tech innovation. Companies are integrating AI across industries. Generative AI tools like Midjourney and Adobe Firefly are reshaping design processes, though market saturation and ethical concerns persist.
Sentiment: Positive | Time to Impact: Long-term
AI in the Datacenter
AI turns liquid cooling into a data center must-have solution | CIO
AI's increasing demands and rising temperatures are driving the adoption of liquid cooling in data centers. Liquid cooling, especially negative pressure technology like Chilldyne's, is essential for efficiently managing heat loads from advanced chips. This technology is vital for current and future data center requirements amidst the AI revolution.
Sentiment: Neutral | Time to Impact: Immediate
AI Carbon Footprint
Big Tech’s bid to rewrite the rules on net zero | FT
Big Tech giants like Amazon, Meta, and Google are pushing to rewrite rules on net zero emissions reporting, potentially allowing them to obscure their actual greenhouse gas emissions. There is a divide in approaches, with Amazon and Meta advocating for one that some criticize as vague, while Google's proposal faces criticism for being costly and complex.
Sentiment: Negative | Time to Impact: Short-term
Small datacenters face the axe in China's new energy policy | The Register
China is implementing a comprehensive green transition plan for its digital infrastructure providers to reduce carbon emissions and energy consumption. The plan aims for a green, low-carbon economy by 2035, leveraging digital technology and renewable energy sources. The country is taking steps to address its current reliance on coal energy sources.
Sentiment: Neutral | Time to Impact: Long-term
Altman-Backed Nuclear Company to Use Siemens Energy Systems | Bloomberg
Oklo Inc., a nuclear reactor developer supported by Sam Altman, partners with Siemens Energy to incorporate steam turbines into its power plants for electricity production. The collaboration aims to streamline plant construction and boost technology deployment. This move signifies a strategic advancement in the nuclear energy sector.
Sentiment: Positive | Time to Impact: Mid-term
The Path to AGI
New supercomputing network could lead to AGI, scientists hope, with 1st node coming online within weeks
Scientists are aiming to speed up the development of human-level artificial intelligence by utilizing a network of supercomputers, with the first expected to be operational by 2025. SingularityNET is building these powerful machines to support the training of architectures needed for artificial general intelligence (AGI).
Sentiment: Neutral | Time to Impact: Mid-term
AI scientists are producing a host of new theories of how our brains learn | The Economist
Geoffrey Hinton, hailed as the Godfather of AI, pioneered research on artificial neural networks leading to advancements like ChatGPT and LaMDA. Despite creating innovative AI models, his true aim was to understand how the brain's neural networks work. The article discusses the impact of Hinton's work on AI development and brain research.
Sentiment: Positive | Time to Impact: Long-term
Interesting Papers & Articles on Applied AI
An empirical investigation of the impact of ChatGPT on creativity | Nature Human Behaviour
The study explores ChatGPT's potential in enhancing human creativity for various problem-solving tasks. Participants used ChatGPT (GPT-3.5) to generate creative ideas, yielding more innovative solutions compared to conventional methods like Google search. ChatGPT excelled in generating incrementally new ideas by combining disparate concepts effectively.
A two-stage framework to improve LLM-based anomaly detection and reactive planning | TechXplore
Stanford University and NVIDIA researchers have introduced a new two-stage framework using large language models (LLMs) like OpenAI's ChatGPT for detecting and mitigating robotic system failures in real-time, which could enhance the trustworthiness of autonomous robots. The approach won the Outstanding Paper Award at the Robotics: Science and Systems conference (RSS 2024).
Sentiment: Positive | Time to Impact: Mid-term
Language in Brains, Minds, and Machines | The Annual Review of Neuroscience
The Annual Review of Neuroscience Volume 47, 2024, discusses the implementation of language in the brain, examining artificial language models' similarities with human language systems. It explores how LMs represent linguistic information akin to humans for accurate brain decoding. The review delves into the anatomy and internal structure of the brain's language system, highlighting its selectivity and distinctiveness.
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs | ArXiv
The study introduces AgentWrite, a method to enable existing large language models to generate over 10,000-word outputs by breaking tasks into subtasks. They create the LongWriter-6k dataset for training models to produce longer outputs effectively. Their model, enhanced with DPO, excels in ultra-long text generation, surpassing larger models.
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.
Want to summarize your news articles using ChatGPT? Here's the latest iteration of the prompt. The Curious AI Newsletter is brought to you by the Cyber Futurists.