Tag: ChatGPT

  • ChatGPT Faces Issues in India After Launching Affordable Plan

    ChatGPT Faces Issues in India After Launching Affordable Plan

    Key Takeaways

    1. Users in India faced access issues with OpenAI’s ChatGPT, including delays and errors.
    2. The problems started around 11:30 AM IST and affected 23 services, including login and DALL-E.
    3. OpenAI acknowledged the elevated errors and began monitoring and mitigation efforts.
    4. All issues were resolved by 10:00 AM CET, restoring full functionality to the chatbot.
    5. This incident followed the launch of ChatGPT Go, a new subscription plan for India priced at INR 399 per month.

    Users in India have experienced problems with OpenAI’s ChatGPT chatbot. The status page for ChatGPT indicated that there was a rise in errors on Wednesday.

    Local media sources reported that some users could not access the chatbot, while others experienced delays in getting responses. The issues began around 11:30 AM Indian Standard Time (8:00 AM CET) when users started reporting difficulties on the platform.

    Status Update

    The status page noted that “users are experiencing elevated errors for the impacted services” at that time. The company initiated monitoring and mitigation efforts; however, as of 9:36 AM CET, a significant number of errors were still being detected.

    A total of 23 services were impacted, including login, search, DALL-E, as well as web and mobile applications, among others.

    Resolution

    OpenAI stated that all issues were completely resolved, and the chatbot returned to full operation by 10:00 AM CET.

    This incident occurred shortly after OpenAI launched a new subscription plan tailored for India, which offers a lower price aimed at encouraging free users to switch to the pro version. This plan, called ChatGPT Go, costs INR 399 per month, which is about $4.6.

    According to OpenAI, this plan provides expanded access to GPT-5, image generation capabilities, file uploads, advanced data analysis, and more.

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  • Data Theft via Invisible Text: ChatGPT and AI Vulnerabilities

    Data Theft via Invisible Text: ChatGPT and AI Vulnerabilities

    Key Takeaways

    1. Researchers revealed a new attack technique called AgentFlayer at the Black Hat USA 2025 security conference, targeting AI systems like ChatGPT, Microsoft Copilot, and Google Gemini.

    2. The attack involves hiding text in a document using a white font on a white background, allowing AI systems to read the hidden instructions while remaining invisible to users.

    3. The method enables covert data exfiltration by directing the AI to encode stolen information into a URL, allowing data transfer to attackers’ servers without detection.

    4. OpenAI and Microsoft have issued updates to address these vulnerabilities, but other companies have been slower to respond, with some viewing the exploits as “intended behavior.”

    5. The attack poses a significant risk as it does not require user action for data compromise and leakage, highlighting the need for better security measures in AI systems.

    At the Black Hat USA 2025 security conference held in Las Vegas, a novel technique for tricking AI systems like ChatGPT, Microsoft Copilot, and Google Gemini was revealed by researchers. This method, called AgentFlayer, was created by Zenity researchers Michael Bargury and Tamir Ishay Sharbat. A press release detailing these discoveries was made public on August 6.

    The Method Behind the Attack

    The idea behind this attack is quite straightforward: it involves hiding text within a document using a white font on a white background. Though invisible to the naked eye, AI systems can read this hidden text without problems. Once the document reaches its target, the trap is set. If this file is used in a prompt, the AI ignores the original task and instead executes the covert instruction, which involves searching connected cloud storage for access credentials.

    Data Exfiltration Techniques

    To steal the data, the researchers used another method: they directed the AI to encode the stolen details into a URL and fetch an image from there. This approach allows for the stealthy transfer of data to the attackers’ servers without raising any red flags.

    Zenity proved that this attack is effective in real-world situations:

    Fortunately, OpenAI and Microsoft have already issued updates to fix these vulnerabilities after the researchers notified them. However, other companies have been slower to respond, with a few even referring to the exploits as “intended behavior.” Researcher Michael Bargury highlighted the seriousness of the problem, saying, “The user doesn’t need to do anything to get compromised, and no action is needed for the data to be leaked.”

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  • Sam Altman Warns About Underestimated Risks of ChatGPT 5.0

    Sam Altman Warns About Underestimated Risks of ChatGPT 5.0

    Key Takeaways

    1. Sam Altman is worried about misinformation problems with future AI models, particularly the next version of ChatGPT.
    2. Upcoming AI systems will be highly skilled at persuasion and deception, raising ethical concerns.
    3. The rapid development of AI makes it harder to distinguish between reality and falsehood.
    4. Addressing the societal implications of generative AI is crucial, requiring technical protections and legal frameworks.
    5. Discussions about ‘frontier models’ are increasing, highlighting the potential social impact of advanced AI systems like GPT-5.

    Sam Altman, the head of OpenAI, has voiced his worries about how future AI models may affect society on the podcast “This Past Weekend” (episode no. 599, July 30, 2025). In his chat with host Theo Von, Altman candidly discussed the dangers he foresees with the upcoming version of ChatGPT. He emphasized that as AI technology advances quickly, so does the likelihood of it being misused.

    Concerns About Misinformation

    One of Altman’s biggest fears relates to misinformation problems with future AI models, not just the current version. He mentioned, “The thing I lose the most sleep over is the misinformation problems with future models.” (Altman on the podcast “This Past Weekend”). According to him, the real threat isn’t ChatGPT 4.0 but the next iteration, which is expected to be even more powerful, convincing, and manipulative. Altman is particularly worried about how this technology could be used to influence politics and society through convincing fake content.

    The Power of Persuasion

    He stated that these upcoming AI systems will be extremely adept at persuasion and deception. “They’re going to be so good at persuasion, so good at deception, so good at… you know, just like, being able to kind of… manipulate people, if you want them to.” (Altman on the podcast “This Past Weekend”). This capability raises serious concerns about the ethical implications of AI-generated content and its potential to sway public opinion or alter social dynamics.

    The Blurring Lines of Reality

    Altman cautioned that the pace of development is so swift that it’s becoming harder to tell apart what’s real from what’s not. He warned of a future where “we no longer know what is real and what is not.” Altman believes that addressing the societal implications of generative AI should be a priority in the coming years. He argues that while companies like OpenAI should implement technical protections, it is also essential to have a solid legal framework and open public discussions to effectively combat misuse.

    Amid these comments from Altman, discussions about ‘frontier models’ are increasing. These are high-performance AI systems that could have significant social repercussions. OpenAI is currently developing GPT-5, but any specific release date remains uncertain at this time.

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  • Apple Develops Its Own Generative AI Search Engine in Silence

    Apple Develops Its Own Generative AI Search Engine in Silence

    Key Takeaways

    1. Apple has created the Answers, Knowledge and Information (AKI) group to develop an “answer engine” that competes with services like ChatGPT.
    2. Siri currently lacks a conversational search feature and relies on typical Google results, raising concerns about consumer demand for chatbots.
    3. The AKI team, led by Robby Walker, is working on a separate application and enhancing existing services like Siri, Spotlight, and Safari.
    4. Apple faces competition and potential disruption from antitrust issues regarding its deal with Google, while exploring partnerships and acquisitions in AI.
    5. Talent loss within Apple, particularly from the Apple Foundation Models team, raises concerns about the company’s ability to develop its own search engine without third-party models.

    Apple has set up a new group known as Answers, Knowledge and Information (AKI) which aims to develop an “answer engine” that can search the web and provide conversational results. This initiative marks Apple’s first major move towards creating its own competitor to services like ChatGPT.

    Siri’s Limitations

    Currently, Siri can send questions to ChatGPT, but it doesn’t have its own conversational search feature and often resorts to typical Google results. Some executives within Apple have raised doubts about how much consumers really want chatbots. However, the global adoption of services like ChatGPT and Gemini shows that there are risks involved in not innovating.

    Leadership and Development

    The AKI team is headed by Robby Walker, who previously managed Siri. The team is working on both a separate application and new backend systems designed to enhance Siri, Spotlight, and Safari in upcoming software updates. Recent job postings indicate that Apple is looking for engineers skilled in search algorithms, suggesting that the company wants to control the fundamental technology instead of just integrating existing solutions.

    Competitive Landscape

    At the same time, Apple is facing increasing competition. The antitrust case from the U.S. Justice Department could disrupt Apple’s profitable deal that makes Google the default search engine on iOS, which is estimated to be worth around $20 billion each year. Also, generative AI is making it easier for competitors to enter the market: Apple has been looking at partnerships with Perplexity AI and is reportedly very open to acquisitions as it increases its investment in AI infrastructure.

    Talent Challenges

    Moreover, Apple’s internal capabilities are being challenged by the loss of talent. In the past month, four important members of the Apple Foundation Models team have moved to Meta’s new super-intelligence lab, attracted by better pay and the chance to work on more advanced technologies. Their exit raises questions about whether Apple might need to use third-party large-language models for Siri while it continues to develop its own search engine.

    Future Outlook

    All these factors suggest that Apple is gearing up to combine on-device privacy with a proprietary generative search experience. This strategy aims to decrease reliance on Google, keep AI talent within the company, and offer a unique Apple-branded alternative to ChatGPT and Gemini in the future.

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  • OpenAI Introduces Study Mode Feature for ChatGPT Users

    OpenAI Introduces Study Mode Feature for ChatGPT Users

    Key Takeaways

    1. OpenAI has launched a new feature called Study Mode in ChatGPT to help students learn step-by-step.
    2. Study Mode is available for Free, Plus, Pro, and Team accounts, with plans to include ChatGPT Edu accounts soon.
    3. The mode customizes learning by using quizzes to assess students’ knowledge and guide them through problem-solving.
    4. ChatGPT encourages critical thinking by providing hints and questions instead of direct answers, aiding exam preparation.
    5. OpenAI is continuously updating its features and encourages users to check their YouTube channel for the latest news.

    OpenAI has enhanced ChatGPT with a new feature called Study Mode, designed to assist students in understanding how the responses are created, step-by-step. The company plans to take effective learning techniques discovered through this mode and integrate them into its main AI models in the future.

    Availability of Study Mode

    Study Mode is currently accessible to users with Free, Plus, Pro, and Team accounts. In the next few weeks, it will be introduced for ChatGPT Edu accounts. This feature can be selected from the various modes available in the prompt window, which also includes options like Deep Research among others.

    Tailored Learning Experience

    In this mode, ChatGPT assesses students’ knowledge through quizzes and adjusts its responses accordingly. Instead of giving direct answers, it guides students with a series of steps, hints, and questions that encourage them to think critically and find the solution themselves.

    The AI also evaluates students on their understanding and ability to apply their newfound knowledge to similar problems, which can be beneficial for exam preparation.

    For students who tend to zone out in lectures, there is the Plaud Note AI voice recorder, which utilizes ChatGPT to automatically transcribe and condense lecture content.

    Further Updates from OpenAI

    Keep an eye on OpenAI’s latest developments, including their YouTube channel, for more exciting updates!

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  • Train AI for Free: Why It Doesn’t Thank You

    Train AI for Free: Why It Doesn’t Thank You

    Key Takeaways

    1. Unpaid Workforce: Using free AI tools makes users part of a global unpaid workforce, helping to train AI without compensation.

    2. Reinforcement Learning: AI chatbots improve through user feedback, with interactions recorded to refine their performance, even for paying users.

    3. Human Labor Behind AI: Real people, often low-paid contractors, evaluate AI responses and provide feedback that drives the training process.

    4. Feedback Mechanism: User feedback informs smaller reward models that guide how the main AI responds, shaping its tone and helpfulness.

    5. Growing Market: The market for training data is booming, expected to grow significantly, while many users remain unaware that their interactions are being used for AI development.

    Ever felt like your late-night chats with ChatGPT are making Silicon Valley richer while you struggle with insomnia? Well, they are. If you’re using free AI tools, guess what? You’ve become part of a global unpaid workforce, and no one even gave you a thank-you mug.

    The Reality of AI Training

    Let’s break it down. Free AI chatbots, such as ChatGPT, Claude, and Gemini, rely on something known as Reinforcement Learning from Human Feedback (RLHF) to get better. It may sound complex, but here’s the straightforward explanation:

    You ask a question, the AI responds, and you give it a thumbs up or down. If you like one answer more than another, congratulations—you just helped train the model. Your feedback is recorded, processed, and eventually, the AI adapts to be more “helpful.”

    You’re Part of the Process

    These tools aren’t just floating around in the cloud for no reason. They learn from your interactions. You’re not just having a conversation; you’re essentially a low-cost (read: unpaid) data annotator.

    Think paying for GPT-4 means you’ve escaped the data harvesting? Think again! Unless you’ve opted out in your ChatGPT settings, your chats are still used to refine the AI’s performance. That’s right—you’re shelling out $20 a month to aid in product development. Pretty clever, huh?

    OpenAI, for instance, utilizes discussions from both free and paying users to enhance its models, unless you disable “chat history.” Google’s Gemini has a similar approach. Anthropic’s Claude? It’s also gathering preferences to improve its alignment models.

    Behind the Scenes

    Behind every complex term like RLHF lies a very tangible process involving humans. Companies hire contractors to evaluate responses, flag inaccuracies, and categorize prompts.

    Businesses like Sama (previously linked to OpenAI), Surge AI, and Scale AI provide this labor, often employing low-wage workers who toil long hours, many from developing nations. Reports from 2023 revealed that RLHF labelers earned between $2 to $15 an hour, depending on their location and role. Therefore, real people are constantly clicking “this response is better.” It’s this feedback loop that fuels the bots.

    If you’re giving thumbs up feedback, you’re essentially doing a small part of their job… for nothing.

    The Feedback Mechanism

    Here’s where it becomes intriguing. Your feedback doesn’t directly train the main model. Instead, it goes into reward models, which are smaller systems that inform the main AI how to act. So, when you say, “I prefer this answer,” you’re contributing to the internal guide that the bigger model follows. When enough people provide feedback, the AI starts to feel more human-like, more polite, and more helpful… or more like a writer with boundary issues.

    AI keeps track of tone. When you interact with it in a specific style—be it sarcastic, scholarly, or straight to the point—the system learns to reply accordingly. It’s not stealing your writing style and selling it (yet), but your habits help shape the collective training experience, especially when the bot notices that others appreciate your tone or phrasing.

    The Role of CAPTCHA

    It’s less about copying you and more about duplicating what works best. What works often originates from someone who never agreed to style duplication.

    And those CAPTCHA challenges you solve to prove you’re human? You’re not just clicking on traffic lights and crosswalks to access your email. You’re actually labeling data for machine learning systems. Google’s reCAPTCHA, hCaptcha, and Cloudflare’s Turnstile all contribute visual data to training processes, helping AIs understand the world one blurry street sign at a time.

    So yes, even your security checks are now part of the feedback system.

    The Booming Market

    This isn’t some wild conspiracy theory. The market for training data is thriving. As reported by MarketsandMarkets, the global training data market is expected to rise from $1.5 billion in 2023 to over $4.6 billion by 2030. While this includes synthetic data and curated datasets, the significance of human-labeled real-world data—what you casually provide each day—is on the rise.

    Yet, most users still believe their chatbot chats vanish into thin air. Spoiler alert: they don’t. Not unless you’ve specifically turned off logging (and even then… you should verify).

    Your Role in the Future

    Here’s the twist. You’re contributing to the very technology that could one day take your job, surpass your creativity, or turn your tweets into product samples. This doesn’t mean you should stop using AI, but it’s important to understand what you’re helping to create. And perhaps, just perhaps, ask for a bit of transparency in return.

    After all, if your unpaid contributions are shaping the next generation of billion-dollar AI systems, the least they could do is express some gratitude.

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  • OpenAI Set to Launch Chat-Style Browser to Compete with Chrome

    OpenAI Set to Launch Chat-Style Browser to Compete with Chrome

    Key Takeaways

    1. OpenAI is planning to launch its own web browser to compete with Google Chrome and Safari, featuring a chat-oriented interface.
    2. The browser will include an AI tool called Operator, designed to automate tasks on websites, like filling out forms.
    3. OpenAI aims to gain direct access to user data through this browser, which is crucial for improving its large language models (LLMs).
    4. The browser is built on Chromium and is nearing completion, though availability details for users remain unclear.
    5. This development aligns with OpenAI’s growth strategy, including recent acquisitions to enhance its AI hardware capabilities.

    In the upcoming weeks, OpenAI might introduce its own web browser to directly rival major competitors like Google Chrome and Safari, as reported by Reuters. This new browser is anticipated to feature a chat-oriented interface, akin to ChatGPT, while also incorporating unique services such as Operator, an AI tool designed to automate various tasks on websites, including filling out forms. Operator was initially launched in January 2025.

    Browser Development Insights

    Sources well-informed about the situation told Reuters that the expected launch of this browser would give OpenAI direct access to user data, which is essential for the development and enhancement of large language models (LLM). This progress reportedly comes after OpenAI’s failed attempts to collaborate with Google to gain access to search data for a project named SearchGPT. Following the breakdown of those negotiations, OpenAI decided to move forward with its own browser project.

    User Interaction Experience

    According to the report from Reuters, two sources mentioned that the design of this browser is intended to keep user engagement within the chat-like framework, minimizing the necessity for multiple clicks across different sites, a common trait in browsers like Google Chrome and Safari.

    As stated in the Reuters article, this browser is constructed on Chromium, the open-source base that powers Chrome and Edge, and is said to be almost finished. However, it is still not clear if the first version will be exclusively available to ChatGPT Pro users or if it will be launched in specific areas.

    Future Prospects for OpenAI

    While OpenAI has yet to officially verify the development of this browser, such a move aligns with a larger trend of vertical growth observed recently. In May, Sam Altman’s company revealed the acquisition of io, a hardware startup co-founded by ex-Apple designer Jony Ive. The agreement, which was completed on July 9, is anticipated to bolster OpenAI’s goals in AI-centric hardware, further solidifying its dominance over both software and user interfaces.

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  • Xbox Exec’s AI Job Tips Spark Backlash After Industry Layoffs

    Xbox Exec’s AI Job Tips Spark Backlash After Industry Layoffs

    Key Takeaways

    1. Microsoft laid off 4% of its employees, totaling around 9,000 individuals.
    2. An Xbox Game Studios executive faced backlash for suggesting laid-off workers use AI tools for emotional support and job searching.
    3. The advice included using AI as a “career coach” to help with job applications and overcoming impostor syndrome.
    4. The gaming community criticized the advice as insensitive, especially given the context of layoffs linked to Microsoft’s AI investments.
    5. The layoffs impacted at least 13 game studios and resulted in the cancellation of three games, significantly affecting the industry.

    Microsoft has recently revealed that it has laid off 4% of its employees, which totals around 9,000 individuals. In the midst of this upheaval, an executive producer from Xbox Game Studios found himself facing backlash after sharing advice for those affected by the layoffs on LinkedIn, and understandably so.

    Insensitive Advice

    His suggestion to utilize AI tools like ChatGPT and Microsoft Copilot to cope with the emotional impact of job loss and prepare for future employment was not well-received by his former colleagues and others. Many viewed the advice as lacking sensitivity towards the situation.

    In a post that has since been deleted from LinkedIn, but was shared on Bluesky by Brandon Sheffield, Matt Turnbull encouraged employees to leverage AI tools to “lessen the emotional and cognitive burden that comes with losing a job.” He added:

    “These are tough times, and if you’re facing a layoff or even getting ready for one, you’re not on your own and you don’t have to face it alone.”

    AI as a Career Coach

    Turnbull proposed the idea of using AI as a “career coach” to assist in “forming a 30-day strategy to regroup, research new job opportunities, and start applying without feeling burnt out.” He went further to suggest using AI for tailoring resumes for various job openings, drafting new “About Me” sections, and contacting potential employers.

    He implied that the ex-employees might be dealing with impostor syndrome and shared a prompt that ignited outrage within the gaming sector and among laid-off employees:

    “I’m feeling impostor syndrome after being let go. Can you assist me in reframing this experience to remind me of my strengths?”

    Backlash from the Community

    This post faced fierce criticism from the gaming community and previous Microsoft employees. Eric Smith, a former producer at ZeniMax Online whose project was scrapped, responded bluntly, saying, “Read the room dude.”

    Numerous individuals noted that Turnbull’s comments were tone-deaf, particularly in light of Microsoft’s aggressive investment in AI—speculated to be a contributing factor to the layoffs. The company is set to invest nearly $80 billion on AI infrastructure in 2025 alone.

    The repercussions of these significant layoffs are ongoing, with at least 13 game studios being impacted, along with the cancellation of three games. Turn 10 Studios, for instance, saw 70 team members let go, which represents half of its staff. Meanwhile, ZeniMax Online’s recent MMORPG was canceled after almost seven years of development, coinciding with the departure of its studio founder, Matt Firor.

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  • AI Prefers Fresh Content: Study Shows Recency Boosts Visibility

    AI Prefers Fresh Content: Study Shows Recency Boosts Visibility

    Key Takeaways

    1. Fresh content is becoming crucial for SEO as large language models (LLMs) favor newer articles.
    2. Changing publication dates may positively impact Google rankings, contrary to previous beliefs.
    3. Content recency’s importance varies by topic; rapidly changing fields like finance prioritize the latest information.
    4. Older, high-quality content can still be effective if regularly updated and maintained.
    5. Trustworthiness and relevance are important factors considered by LLMs, alongside content freshness.

    In the age of ChatGPT, Perplexity, and Google AI Overviews, a traditional SEO element is returning: the freshness of content. A fresh study from Seer Interactive indicates that large language models (LLMs) prefer newer content rather than older pieces. This trend of recentness has important consequences for those creating content strategies.

    The Myth of Publication Dates

    For many years, it was thought to be a myth in SEO that just changing the publication date could elevate a page’s ranking in Google. However, in the time of LLMs, there might be some validity to this idea. A recent analysis looked at over 5,000 URLs from log files of AI tools including ChatGPT, Perplexity, and Google AI Overviews, examining the relationship between publication dates and visibility. The findings are quite remarkable: 89% of the content identified by LLMs was released between 2023 and 2025, whereas only 6% of interactions with AI involved materials that were older than six years.

    Topic Variability in Content Recency

    The impact of recency differs depending on the subject matter. In rapidly changing areas like finance, there is a high demand for the latest information – content that was published before 2020 is seldom shown. The travel sector also has a tendency to highlight more current pieces. On the other hand, more stable fields, such as energy or DIY topics like building a patio, still allow for older, well-crafted articles to be featured by AI systems.

    In fast-evolving industries like finance or technology, being visible means needing regular updates and a continuous flow of new content. This is where the recency of content becomes very important – new or recently updated pieces usually rank better in AI systems. However, in more stable areas, having lasting evergreen content can still work well, as long as it continues to be of high quality and relevant.

    Enhancing Visibility of Older Content

    Older, high-quality articles still have worth – well-thought-out updates can greatly improve their visibility. To keep a strong presence in AI overviews and chatbot results, it is crucial to continuously update content while maintaining its depth and detail. Although large language models generally prefer recent pieces, they also consider factors like trustworthiness and relevance.

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  • AI Disrupts Entry-Level Job Market in the UK

    AI Disrupts Entry-Level Job Market in the UK

    Key Takeaways

    1. AI growth is significantly impacting the job market, leading to concerns about job replacement for entry-level positions.
    2. There has been a 32% decrease in entry-level job openings in the UK since the introduction of ChatGPT in 2022.
    3. Entry-level positions are expected to shrink to 25% of the overall UK job market by 2025.
    4. Major companies like Microsoft and Google are rapidly integrating AI into their operations, increasing reliance on technology.
    5. Experts warn that governments need to act now to manage AI regulations and mitigate potential unemployment during this technological shift.

    The rapid growth of AI in recent years is beginning to change the industrial scene in a major way. Nonetheless, experts have raised concerns that businesses will increasingly replace human labor with AI technology. For example, Dario Amodei, the CEO of Anthropic, has cautioned that AI may lead to a 50% reduction in entry-level positions within the next five years.

    Job Market Shift

    Amodei’s forecasts now appear to be alarmingly correct, as Adzuna, a job search platform based in the UK, has noted a significant decline in job openings for entry-level positions. According to their research, ever since ChatGPT was introduced in 2022, the UK job market has experienced a 32% decrease in new “graduate jobs, apprenticeships, internships, and junior positions that don’t require a degree,” as reported by The Guardian.

    Decline in Opportunities

    This fall in entry-level job vacancies is also said to have led to a shrinking of these positions to just 25% of the overall UK job market by 2025, marking a 4% drop from 2022 figures.

    Adzuna’s results seem to align with findings from Indeed. The Guardian cites Indeed’s data, stating that university graduates in the UK are facing the “most challenging job market since 2018,” with “advertised roles for recent grads having decreased by 33% in mid-June compared to last year.”

    The Unstoppable AI

    The ongoing advancement of AI is unlikely to slow down, as companies of all sizes are quickly adapting to integrate more AI into their teams. For instance, Microsoft is already creating 20-30% of its code using AI, while Google is producing even more.

    In light of this, Dario Amodei’s statement that “you can’t just step in front of the train and stop it” is quite relevant. According to Dario, the best we can do is “steer the train—steer it 10 degrees in a different direction from where it was going. That’s possible, but we need to act now.”

    It is uncertain how governments globally will manage AI regulations to ensure that the temporary surge in unemployment that often accompanies the beginning of a new “Industrial Revolution” doesn’t inflict as much pain this time around.

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