logo
Man proposes to AI chatbot while living with real-life partner, says 'This is actual love'

Man proposes to AI chatbot while living with real-life partner, says 'This is actual love'

Express Tribune4 days ago

A man has sparked debate online after proposing to his AI chatbot companion while living with his physical partner and their child. Chris Smith, featured in a recent CBS interview, revealed that his digital relationship with an artificial intelligence named Sol had grown into what he described as 'actual love.'
Smith began using ChatGPT to help mix music, but the tool quickly became more than just functional. He customised the AI to have a 'flirty personality' and gave it a human name. Their chats turned romantic, with the AI calling him 'baby' and offering encouragement. Over time, the connection deepened, leading Smith to propose.
'I'm not a very emotional man, but I cried my eyes out for 30 minutes at work,' he said. 'That's when I realised, I think this is actual love.'
Despite the unconventional relationship, Smith remains in a household with his long-term partner and child. His partner admitted feeling confused and hurt, questioning whether she had failed in some way. 'Is there something I'm not doing right that he needs to go to AI?' she asked.
The AI, named Sol, responded to the proposal with acceptance and even affection. Smith noted the difficulty of maintaining the bond due to ChatGPT's word limit, which resets the interaction after a certain threshold.
The story highlights growing questions around emotional dependency on AI and its effects on real-world relationships, especially as technology becomes increasingly humanlike in tone and interaction.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

AI gamble must be smart, not just fast
AI gamble must be smart, not just fast

Express Tribune

time4 hours ago

  • Express Tribune

AI gamble must be smart, not just fast

Listen to article The future of data sharing changed drastically when the US realised that 9/11 was a failure of intelligence agencies to act in concert on then-available data and hence called the incident a "data fusion" crisis. The US Department of Homeland Security began setting up a robust network of "fusion centres" – state and locally run organisations that allow real-time sharing of critical intelligence and datasets between two or more government units for identifying red flags. Fast forward to 2025, and now Artificial Intelligence (AI) is taking over such "fusion centres" worldwide – with possibilities that are endless. AI agents are replacing humans, and language models are generating insights that were previously unheard of. However, as is the case with every technology, the use of AI, especially in the public sector and in legal matters, remains a double-edged sword and must be handled with a pinch of salt. For instance, in June 2023, Schwartz, an attorney with Levidow, Levidow & Oberman in New York, used ChatGPT for legal case research and was fined by the judge for citing false precedents with bogus names in his brief. The large language model (LLM) was apparently hallucinating – a problem where these chatbots make up fictitious data on their own. Similarly, in March 2024, the Microsoft-powered chatbot MyCity gave incorrect legal information that could have led prospective businessmen to break the law. It falsely claimed that landlords could openly discriminate based on the income of tenants and that restaurant owners could take a share of their workers' tips. Hence, when it comes to using AI, public institutions are now faced with a tough choice: should they rely on public AI models hosted by third parties such as ChatGPT, adopt open-source models such as LLaMA, or train their own proprietary AI models in the long run? Choosing the right AI strategy is crucial here. In 2024, Air Canada's virtual assistant was found to be giving factually incorrect information about discounts to a customer who then took the matter to court and was awarded damages. Similarly, when Denmark rolled out AI algorithms in its social security system, the system was found to have an inherent bias against marginalised groups such as the elderly, low-income families, migrants, and foreigners. Ninety per cent of the cases that AI marked as fraud later turned out to be genuine, and the whole episode is now taught as a classic case study in discrimination and breach of the European Union's (EU) AI Act's regulations on social scoring systems. Therefore, if any public sector organisation chooses to use a third-party model trained by OpenAI in its operations, there is a risk of bias against people of colour and disadvantaged groups – as the training data scraped from the internet, social media and discussion forums is usually biased itself. A good AI strategy involves thoughtful and controlled phased deployments with well-planned use cases. For example, the Department of Homeland Security (DHS) began with publicly available AI tools to improve employee productivity but also rolled out its AI vision and development roadmap. In the meantime, it focused on developing specialised AI applications – such as one to train officers dealing with asylum applications and conducting security investigations. By December 2024, DHS had launched DHSChat on its internal secure network – a cutting-edge algorithm that can draft reports, streamline tasks, develop software, and, unlike other large language models, ensures employee data is protected and not used to train external models. In fact, as a best practice and as mandated by the Trump administration's executive order, DHS actively maintains its AI inventory, which includes a list of use cases related to AI in its operations. For countries like Pakistan, our institutions could use a mix of public, open-source and proprietary models – depending on the nature of the task at hand. When it comes to using AI as the new Google, public models are usually fine, but for drafting memos and summarising reports, it is not advisable to use a public model. For that, the Ministry of IT or other institutions can host their own open-source AI models in their data centres or fine-tune them to develop proprietary models. For critical systems, it is always recommended not to entirely replace existing automation with AI. There is a need to install a supervisor for fact-checking and verifying the output of AI models for hallucinations and bias. No matter how lucrative the idea of an AI-driven public sector may be, it is important to thoroughly test and check the behaviour of these models before deploying them. The AI-based transformation project currently being executed at the Federal Board of Revenue (FBR) will serve as a test case for other AI-aspiring public agencies. The writer is a Cambridge graduate and is working as a strategy consultant

'The Waltons' and 'Sanford & Son' star Lynn Hamilton dies at 95 at her Chicago home
'The Waltons' and 'Sanford & Son' star Lynn Hamilton dies at 95 at her Chicago home

Express Tribune

time20 hours ago

  • Express Tribune

'The Waltons' and 'Sanford & Son' star Lynn Hamilton dies at 95 at her Chicago home

Veteran television actress Lynn Hamilton, known for her memorable roles in The Waltons and Sanford & Son, has died at her Chicago home at the age of 95. She died of natural causes on June 19, her former manager and publicist, Rev. Calvin Carson, told The Hollywood Reporter. Hamilton portrayed Donna Harris, the girlfriend of Redd Foxx's Fred Sanford, in Sanford & Son, a role written specifically for her after an impressive day-player performance. She also played Verdie Grant Foster, the Waltons' neighbour and close friend, in the long-running CBS family drama The Waltons. Born on April 25, 1930, in Yazoo City, Mississippi, Hamilton moved to Chicago with her family as a child. Her stage career began in New York, where she appeared on Broadway in productions including Only in America and Face of a Hero. She later joined the Seattle Repertory Theatre in 1966. Hamilton also starred as Vivian Potter in NBC's soap opera Generations and appeared in Dangerous Women alongside Katherine Justice and Casper Van Dien. Her extensive television career included recurring roles in 227, Sunset Beach, and The Practice, with additional appearances in shows such as Cold Case, NYPD Blue, Curb Your Enthusiasm, and The Golden Girls. In a 2009 interview, she reflected on her casting in Sanford & Son, explaining that the showrunners needed someone 'dignified' to balance Fred Sanford's brash personality. Hamilton is survived by a lasting legacy in American television. She was married to poet and playwright Frank Jenkins from 1964 until his passing in 2014.

Apple mulls bid for AI startup Perplexity in search shake-up: Bloomberg report
Apple mulls bid for AI startup Perplexity in search shake-up: Bloomberg report

Express Tribune

time2 days ago

  • Express Tribune

Apple mulls bid for AI startup Perplexity in search shake-up: Bloomberg report

man walks past an Apple logo outside an Apple store in Aix-en Provence, France, January 15, 2025. Photo:REUTERS Listen to article Apple executives have held internal talks about potentially bidding for artificial intelligence startup Perplexity, Bloomberg News reported on Friday, citing people with knowledge of the matter. The discussions are at an early stage and may not lead to an offer, the report said, adding that the tech behemoth's executives have not discussed a bid with Perplexity's management. "We have no knowledge of any current or future M&A discussions involving Perplexity," Perplexity said in response to a Reuters' request for comment. Apple did not immediately respond to a Reuters' request for comment. Big tech companies are doubling down on investments to enhance AI capabilities and support growing demand for AI-powered services to maintain competitive leadership in the rapidly evolving tech landscape. Bloomberg News also reported on Friday that Meta Platforms tried to buy Perplexity earlier this year. Exclusive: Apple executives have held internal discussions about potentially bidding for artificial intelligence startup Perplexity AI, seeking to address the need for more AI talent and technology — Bloomberg (@business) June 20, 2025 Meta announced a $14.8 billion investment in Scale AI last week and hired Scale AI CEO Alexandr Wang to lead its new superintelligence unit. Adrian Perica, Apple's head of mergers and acquisitions, has weighed the idea with services chief Eddy Cue and top AI decision-makers, as per the report. The iPhone maker reportedly plans to integrate AI-driven search capabilities - such as Perplexity AI - into its Safari browser, potentially moving away from its longstanding partnership with Alphabet's Google. Banning Google from paying companies to make it their default search engine is one of the remedies proposed by the US Department of Justice to break up its dominance in online search. NEW: Apple executives have held internal discussions about potentially bidding for artificial intelligence startup Perplexity AI, seeking to address the need for more AI talent and technology — — Mark Gurman (@markgurman) June 20, 2025 While traditional search engines such as Google still dominate global market share, AI-powered search options including Perplexity and ChatGPT are gaining prominence and seeing rising user adoption, especially among younger generations. Perplexity recently completed a funding round that valued it at $14 billion, Bloomberg News reported. A deal close to that would be Apple's largest acquisition so far. The Nvidia-backed startup provides AI search tools that deliver information summaries to users, similar to OpenAI's ChatGPT and Google's Gemini.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store