logo
To judge is human. To persuade is AI?

To judge is human. To persuade is AI?

Boston Globe2 days ago

Get The Gavel
A weekly SCOTUS explainer newsletter by columnist Kimberly Atkins Stohr.
Enter Email
Sign Up
The study's finding is consistent with
Advertisement
AI tailors its arguments differently when it knows something about a user than when it does not. With background info, AI can identify common ground before making its case. If AI knows, for example, that it's dealing with someone with a liberal political affiliation, it will use arguments popular among liberals, such as the importance of immigrants to the national culture and economy. If a user leans conservative, the AI highlights ideals such as lack of government intervention or regulation. That means an AI with even fairly basic information about users can make them more receptive by tapping into their confirmation bias — in other words, by affirming their existing beliefs.
Advertisement
This might seem manipulative, but the AI is assessing the rhetorical situation, which involves figuring out what will and won't appeal to a specific audience and adjusting arguments accordingly. I teach this concept to my rhetoric students at Boston University. When presented with evidence that runs counter to their views, many people cling even more firmly to their positions — a phenomenon known as the '
Of course, humans should be better than AI is at understanding and bonding with fellow humans. Why aren't we? For one, our ability to 'read the room'
AI doesn't shout, curse, judge, threaten, or doxx users. That's one reason AI can more easily change someone's mind: Freedom from judgment and retaliation liberates the mind enough to allow people to consider other viewpoints.
AI also deploys an age-old human bonding technique: mirroring. Experiments have demonstrated that if an interactive robot smiles at you, you'll probably smile back, and vice versa. We all do this beginning in infancy as a way of expressing and emulating other people's behavior and emotional states. If an AI discerns that you're smiling, it might tell you a joke so it can capitalize on and match your positive mood. Mirroring can also involve language choice and tone, which is another reason AI excels at it. Establishing even a fleeting bond via mirroring makes humans more likely to cooperate with an AI or robot.
Advertisement
Perhaps AI succeeds in part because humans so often fail at effective communication. The bar has become frighteningly low for interactions, both online and off. If displaying a modicum of respect and not spewing vitriol gives AI a communication advantage, that's on us. If a noncorporeal, nonhuman entity can read the room and connect with people better than most humans can, something is seriously off.
Research into AI reveals what's too often missing in human interactions: common ground, curiosity, and compassion. Perhaps two of the ways AI will serve us best are by reflecting the failures of human societies in its black mirror and reminding us that we can do better. In turn, that perspective can help us choose what or who we want to become — and how.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Down Nearly 60%, Should You Buy the Dip on SoundHound AI?
Down Nearly 60%, Should You Buy the Dip on SoundHound AI?

Yahoo

time29 minutes ago

  • Yahoo

Down Nearly 60%, Should You Buy the Dip on SoundHound AI?

SoundHound AI is growing rapidly, but it's racking up steep losses. Its growing dependence on acquisitions raises a few red flags. A lot of growth has already been baked into its valuations. 10 stocks we like better than SoundHound AI › SoundHound AI (NASDAQ: SOUN), a developer of artificial intelligence (AI)-powered audio recognition tools, saw its stock close at a record high of $24.23 on Dec. 26, 2024. But since then, its stock has declined nearly 60%. Let's see why this hot stock fizzled out -- and if its pullback represents a buying opportunity for long-term investors. SoundHound AI's namesake app identifies songs by listening to several seconds of recorded audio or a few hummed bars. However, most of its growth is fueled by Houndify, its developer platform, which allows businesses to create their own custom voice recognition tools. Houndify powers voice recognition features in restaurant ordering platforms, smart TVs, connected cars, and other devices. It's an appealing option for companies that don't want to send data to Microsoft, Alphabet's Google, or other tech giants that provide their own data-gathering voice recognition services. SoundHound AI initially attracted a lot of attention for three reasons. First, its revenue surged 47% in 2022, rose another 47% in 2023, and jumped 85% in 2024. Second, the booming AI market drove a stampede of bulls to its AI-driven stock. Lastly, the AI chipmaking bellwether Nvidia (NASDAQ: NVDA) boosted its stake in SoundHound and integrated its voice recognition tools into its Drive platform for connected vehicles. Yet Soundify's stock stumbled for three reasons. First, most of its growth in 2023 and 2024 was driven by acquisitions -- including the restaurant AI company SYNQ3, the online food ordering platform Allset, and the conversational AI company Amelia. That strategy strengthened its position in the restaurant industry, but it also indicated it was running out of room to grow. Second, those acquisitions made it even tougher to break even. Its adjusted earnings before interest, taxes, depreciation, and amortization (EBITDA) margins came in at negative 73% last year -- which broadly missed its original target of achieving a positive adjusted EBITDA margin by 2024. Lastly, Nvidia liquidated its entire position in SoundHound AI earlier this year. SoundHound ended 2024 with a backlog of $1.2 billion, and it already serves big automakers like Stellantis, quick-serve restaurants like Chipotle, healthcare institutions like MUSC Health, and tech giants like Tencent. Automakers are adding more voice-activated features to their vehicles, restaurants are using more of its AI tools to process their drive-thru and phone orders, and healthcare institutions are processing more patient requests with Amelia's AI chatbots. SoundHound could still have plenty of room to expand. From 2025 to 2035, the global voice agents market could grow at a compound annual growth rate (CAGR) of 34.8%, according to market research firm as more companies replace their human workers with AI-powered voice agents. For 2025, SoundHound expects its revenue to surge 97%. From 2024 to 2027, analysts expect its revenue to rise at a CAGR of 48%, from $85 million to $277 million. They also expect it to finally squeeze out a positive adjusted EBITDA of $5 million in 2027. That outlook seems promising, but a lot of its future growth has already been baked into its valuations. With a market cap of $4.1 billion, it already trades at 25.5 times this year's sales. It's also more than doubled its number of shares since it went public by merging with a special purpose acquisition company (SPAC) just over three years ago, and that dilution will likely continue as it relies on its secondary offerings to raise fresh cash and its stock-based compensation to subsidize its salaries and acquisitions. So while SoundHound AI is still growing rapidly, it hasn't proven that it deserves its premium valuation or that its business model is sustainable. I might nibble on the stock after its recent pullback -- since its core market is still expanding -- but I wouldn't go all in until it meaningfully narrows its losses. Before you buy stock in SoundHound AI, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and SoundHound AI wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $656,825!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $865,550!* Now, it's worth noting Stock Advisor's total average return is 994% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 2, 2025 Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Leo Sun has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Chipotle Mexican Grill, Microsoft, Nvidia, and Tencent. The Motley Fool recommends Stellantis and recommends the following options: long January 2026 $395 calls on Microsoft, short January 2026 $405 calls on Microsoft, and short June 2025 $55 calls on Chipotle Mexican Grill. The Motley Fool has a disclosure policy. Down Nearly 60%, Should You Buy the Dip on SoundHound AI? was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works
ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works

Geek Vibes Nation

time32 minutes ago

  • Geek Vibes Nation

ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works

— Gaurav Bisen (@thepmfguy) June 5, 2025 Real-Life Examples: How Developers Are Using ChatGPT for Faster Results One developer shared their experience of how ChatGPT saved them 7 hours on a single project. The task involved creating an API for an application, and using ChatGPT, they were able to: Generate API routes and endpoints for basic CRUD operations. Write detailed documentation to accompany the API. Fix bugs in the application logic that were causing errors during testing. By automating these processes with ChatGPT, the developer was able to spend more time on fine-tuning the user interface and optimizing the overall performance of the app. Limitations of ChatGPT in Development While ChatGPT offers immense benefits, it's not without its limitations: Complex problem-solving: While ChatGPT excels at basic coding tasks, it may struggle with highly complex or niche technical problems that require deep domain-specific knowledge. Context retention: Although ChatGPT is capable of processing code snippets, it sometimes lacks the ability to understand long-term project context, especially for larger projects that span multiple files. Creative tasks: For highly creative coding challenges that require out-of-the-box thinking, ChatGPT might not always provide the best solution. Despite these limitations, ChatGPT remains a powerful tool for developers, particularly when used in conjunction with other AI models within a platform like Chatronix. Conclusion: The Future of AI in Development In 2025, AI tools like ChatGPT are revolutionizing the development process. From generating code to debugging and automating repetitive tasks, developers are increasingly relying on AI to accelerate their workflows and boost productivity. While ChatGPT is a fantastic tool on its own, platforms like Chatronix take the experience further by offering multiple AI models in one unified space. This allows developers to compare outputs, automate even more tasks, and optimize their workflows for greater success. Curious to see how Chatronix can improve your development process? Try it today and experience the future of coding. Emily Henry writes for UKWritings Reviews and Write My Research Paper . She writes articles on many subjects including writing great resumes. Emily is also an editor at State Of Writing .

Senate Republicans revise ban on state AI regulations in bid to preserve controversial provision
Senate Republicans revise ban on state AI regulations in bid to preserve controversial provision

Associated Press

time33 minutes ago

  • Associated Press

Senate Republicans revise ban on state AI regulations in bid to preserve controversial provision

WASHINGTON (AP) — Senate Republicans have made changes to their party's sweeping tax bill in hopes of preserving a new policy that would prevent states from regulating artificial intelligence for a decade. In legislative text unveiled Thursday night, Senate Republicans proposed denying states federal funding for broadband projects if they regulate AI. That's a change from a provision in the House-passed version of the tax overhaul that simply banned any current or future AI regulations by the states for 10 years. 'These provisions fulfill the mandate given to President Trump and Congressional Republicans by the voters: to unleash America's full economic potential and keep her safe from enemies,' Sen. Ted Cruz, chairman of the Senate Commerce Committee, said in a statement announcing the changes. The proposed ban has angered state lawmakers in Democratic and Republican-led states and alarmed some digital safety advocates concerned about how AI will develop as the technology rapidly advances. But leading AI executives, including OpenAI's Sam Altman, have made the case to senators that a 'patchwork' of state AI regulations would cripple innovation. Some House Republicans are also uneasy with the provision. Rep. Marjorie Taylor Greene, R-Ga., came out against the AI regulatory moratorium in the House bill after voting for it. She said she had not read that section of the bill. 'We should be reducing federal power and preserving state power. Not the other way around,' Greene wrote on social media. Senate Republicans made their change in an attempt to follow the special process being used to pass the tax bill with a simple majority vote. To comply with those rules, any provision needs to deal primarily with the federal budget and not government policy. Republican leaders argue, essentially, that by setting conditions for states to receive certain federal appropriations — in this instance, funding for broadband internet infrastructure — they would meet the Senate's standard for using a majority vote. Cruz told reporters Thursday that he will make his case next week to Senate parliamentarian on why the revised ban satisfies the rules. The parliamentarian is the chamber's advisor on its proper rules and procedures. While the parliamentarian's ruling are not binding, senators of both parties have adhered to their findings in the past. Senators generally argue that Congress should take the lead on regulating AI but so far the two parties have been unable to broker a deal that is acceptable to Republicans' and Democrats' divergent concerns. The GOP legislation also includes significant changes to how the federal government auctions commercial spectrum ranges. Those new provisions expand the range of spectrum available for commercial use, an issue that has divided lawmakers over how to balance questions of national security alongside providing telecommunications firms access to more frequencies for commercial wireless use. Senators are aiming to pass the tax package, which extends the 2017 rate cuts and other breaks from President Donald Trump's first term along with new tax breaks and steep cuts to social programs, later this month.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store