Google’s ad network has begun showing advertising within the flow of conversations with chatbots — part of Alphabet Inc.’s efforts to keep its edge in digital advertising as generative artificial intelligence takes off. Earlier this year, Google’s AdSense for Search network, which traditionally shows ads within the search results of other websites, expanded to include conversations with chatbots operated by AI startups. Google made the move after conducting tests last year and earlier this year with a handful of startups, including AI search apps iAsk and Liner, according to people familiar with the matter who asked not to be identified discussing private information. Showing ads alongside its own search results is the heart of Google’s business, bolstered by a business that serves up advertising across much of the web. That empire has come under threat as new entrants like OpenAI and Perplexity AI seek to siphon off the search giant’s audience with products aiming to help users find what they are looking for more quickly. Running experiments with AI startups will allow the company to test the waters for advertising in the relatively new world of AI chats. Generative AI startups are increasingly exploring advertising-based business models to offset the high costs of answering users’ questions with artificial intelligence. For example, before inviting users to ask follow-up questions, iAsk shows ads below its AI-generated responses. In addition to Google, startups such as Koah Labs have begun allowing brands to serve ads to the chatbot audience. AI search startup Perplexity, one of the most prominent players using AI to reshape internet services, establishes relationships directly with brands that want to buy ads on the site, according to a person familiar with the matter. Perplexity allows brands to sponsor follow-up questions to users’ queries.
PayPal’s reward offers on stablecoin balances could force financial services super apps to explore offering interest-earning prepaid cards and wallets by combining yield with spendability in a closed-loop, scalable ecosystem
PayPal and Circle, two U.S. firms that are trying to build what are called financial super apps, are making stablecoins a major piece of how users link to other functions. Both companies made recent deals to expand usage of their own stablecoins while easing access to other financial services. PayPal and Circle are both positioning themselves to capitalize on the increasing popularity of stablecoins as a means to power their super apps. PayPal recently expanded its partnership with cryptocurrency exchange Coinbase to power free conversions between PayPal’s PYUSD stablecoin and traditional money. Coinbase will offer PYUSD to PayPal’s merchant network, making it easier for the stablecoin to be used at the point of sale. It also can drive PayPal’s super app strategy, a long-standing initiative to enable a mobile app to shop at millions of merchants, make payments, access a debit card, use installment credit, pay bills, invest, make P2P transfers, receive paychecks and dozens of other services. The addition of the Xoom remittance and Venmo transfer app, PayPal’s PYUSD and support for stablecoin and cryptocurrency investments at Venmo and PayPal add to that super-app potential.
Coinbase integrates Apple Pay into Crypto Onboarding Solution- apps already using Coinbase Onramp will automatically see Apple Pay as an option when users make an eligible purchase
Coinbase has integrated Apple Pay as a payment method for Coinbase Onramp, its tool for building onramps into existing apps for fiat-to-crypto purchases. This will make it easier for 60 million U.S. users of Apple Pay to onramp and access popular payment methods. Coinbase Onramp provides a solution for onboarding to crypto, which can take a long time and require users to go through a lengthy know-your-customer (KYC) process. With Apple Pay, getting onchain takes only seconds. Apps already using Coinbase Onramp will automatically see Apple Pay as an option when users make an eligible purchase. This is the latest addition to Coinbase’s offerings, following the acquisition of the Utopia Labs team to accelerate its onchain payments roadmap within Coinbase Wallet. In October, Coinbase announced a money movement partnership with Visa, connecting Coinbase to the Visa Direct network and allowing customers to deposit funds into their accounts via eligible Visa debit cards.
Coinbase integrates Apple Pay into Crypto Onboarding Solution- apps already using Coinbase Onramp will automatically see Apple Pay as an option when users make an eligible purchase
Coinbase has integrated Apple Pay as a payment method for Coinbase Onramp, its tool for building onramps into existing apps for fiat-to-crypto purchases. This will make it easier for 60 million U.S. users of Apple Pay to onramp and access popular payment methods. Coinbase Onramp provides a solution for onboarding to crypto, which can take a long time and require users to go through a lengthy know-your-customer (KYC) process. With Apple Pay, getting onchain takes only seconds. Apps already using Coinbase Onramp will automatically see Apple Pay as an option when users make an eligible purchase. This is the latest addition to Coinbase’s offerings, following the acquisition of the Utopia Labs team to accelerate its onchain payments roadmap within Coinbase Wallet. In October, Coinbase announced a money movement partnership with Visa, connecting Coinbase to the Visa Direct network and allowing customers to deposit funds into their accounts via eligible Visa debit cards.
Amazon’s Alexa+ voice assistant draws 100,000 users; but targets universe of half a billion Amazon devices in people’s homes, offices and cars; wake word needs to be said only once for an entire conversation
Amazon has rolled out Alexa+, the new version of its voice assistant, to more than 100,000 users so far, Amazon CEO Andy Jassy said. Alexa+ will be made available to more users in the coming months, Jassy said. It is now starting to roll out in the U.S. and will be expanded to other countries later this year. The new version of the voice assistant is being made available on an Early Access basis, beginning with customers who sign up to be notified and own an Echo Show 8, 10, 15 or 21 and then expanding to more Echo customers over time. The new voice assistant is free to Prime members and available for $19.99 per month to non-members, Jassy said. He added that Amazon has more than half a billion devices in people’s homes, offices and cars to which Alexa+ will be able to be delivered. Jassy said that the new version is “meaningfully smarter and more capable than its prior self, can both answer virtually any questions and take actions.” He added that users no longer have to say “Alexa” before requesting every action; instead, they only have to say it once and can then have an ongoing conversation with the voice assistant.
Google is testing access to AI Mode directly within Search and adding new functionalities such as visual place and product cards that can be tapped on to get more details on a topic
Google is expanding access to AI Mode, its experimental feature that allows users to ask complex, multipart questions and follow-ups to dig deeper on a topic directly within Search. The tech giant is also adding more functionality to the feature, including the ability to pick up where you left off on a search. Now anyone in the U.S. who is at least 18 years old can access the feature if they’re enrolled in Labs, Google’s experimental arm. Google is also going to make AI Mode accessible outside of Labs, as it’s testing an AI Mode tab in Google Search that will be visible to a small percentage of people in the U.S. As for the new functionality, Google is making it possible to go a step beyond asking detailed questions about places and products. Now you can use AI mode to do things like find a new restaurant or things you need for your next trip. You will now start to see visual place and product cards in AI Mode that you can tap on to get more details. Google is also making it possible to pick up where you left off when using AI Mode, which should be helpful in cases where you’re working on longer-running projects and tasks. On desktop, you can now click the new left-side panel in AI Mode to get to your past searches to see the information you were already given, and to ask follow-up questions.
Google to expand Gemini’s feature to reference past conversations to free users; Gemini to become proactive assistant that anticipates user needs, offers insights and actions before they ask and turns ideas into action
Google announced the ability for Gemini to reference your past conversations in February for Gemini Advanced. Today’s “launching soon” tease does suggest it will come to free users as well, just like Saved info. Looking ahead, the future is “personalized context” from the Google services you use: “Gmail, Photos, Calendar, Search, YouTube, etc.” Google started testing this in March with the “Personalization (experimental)” model. Right now Gemini looks at your past Search history when considering a prompt to see if it can “make the answer better.” Beyond Search, Google at the time teased YouTube and Photos, with the company uniquely positioned to already have this information. On the proactive front, Google wants an assistant that anticipates your needs. Gemini will “offer insights and actions before you ask, freeing your mind and time for what truly matters,” or “Less prompting, more flow.” In terms of powerful, Google says the “best assistant turns your ideas into action.” This is talking about Gemini 2.5 Pro. Notably, Woodward says this “new era of models” will lead to a “new era of user experiences.” A recent example of that is something like Canvas. Meanwhile, the Gemini app lead credits Google’s infrastructure, especially TPUs, as making all this possible. It’s the kind of infra people dream about, but it actually exists here — and it’s going to let us make all this FREE for everyone to try, especially students.
Google’s ad network has begun showing advertising within the flow of conversations with chatbots operated by AI startups
Google’s ad network has begun showing advertising within the flow of conversations with chatbots — part of Alphabet Inc.’s efforts to keep its edge in digital advertising as generative artificial intelligence takes off. Earlier this year, Google’s AdSense for Search network, which traditionally shows ads within the search results of other websites, expanded to include conversations with chatbots operated by AI startups. Google made the move after conducting tests last year and earlier this year with a handful of startups, including AI search apps iAsk and Liner, according to people familiar with the matter who asked not to be identified discussing private information. Showing ads alongside its own search results is the heart of Google’s business, bolstered by a business that serves up advertising across much of the web. That empire has come under threat as new entrants like OpenAI and Perplexity AI seek to siphon off the search giant’s audience with products aiming to help users find what they are looking for more quickly. Generative AI startups are increasingly exploring advertising-based business models to offset the high costs of answering users’ questions with artificial intelligence. For example, before inviting users to ask follow-up questions, iAsk shows ads below its AI-generated responses. In addition to Google, startups such as Koah Labs have begun allowing brands to serve ads to the chatbot audience. AI search startup Perplexity, one of the most prominent players using AI to reshape internet services, establishes relationships directly with brands that want to buy ads on the site, according to a person familiar with the matter. Perplexity allows brands to sponsor follow-up questions to users’ queries.
Morgan Stanley research shows Apple Intelligence platform has been downloaded and engaged with by 80% of eligible U.S. iPhone owners in the last six months and has an above average NPS of 53
Consumers’ perception of Apple’s AI platform is more favorable than that of investors, Morgan Stanley said in a research note. Morgan Stanley said it found that the Apple Intelligence platform has been downloaded and engaged with by 80% of eligible U.S. iPhone owners in the last six months, has an above average net promoter score of 53, and is characterized by iPhone users as “easy to use, innovative, and something that improves their user experience.” “While much of the public critique of Apple Intelligence is warranted, and investor sentiment and expectations on Apple’s AI platform couldn’t be lower, our survey of iPhone owners paints a more positive picture,” Morgan Stanley said in the note. Since September, the share of iPhone owners who believe it is extremely or very important to have Apple Intelligence support on their next iPhone rose 15 points to reach 42%. Among iPhone owners who are likely to upgrade their device in the next 12 months, the percentage saying that about the AI platform rose 20 points to reach 54%, according to the note. Morgan Stanley also found that consumers are willing to pay more for Apple Intelligence than they were in September. Those who have used the AI platform are now willing to pay an average of $9.11 per month for it, a figure that’s 11% higher than the $8.17 average seen in September, per the note. While we don’t expect Apple to put Apple Intelligence behind a paywall until the platform is more built out, the potential long-term monetization of an Apple Intelligence subscription could reach tens of billions of dollars annually when considering a 1.4B global iPhone installed base, 32% (and growing) of US iPhone owners have an Apple Intelligence support iPhone, and users are willing to pay up to $9.11/month for Apple Intelligence,” Morgan Stanley said in the note.
Apple Store deploys LLM-based system to offer app review summaries that dynamically adapt, capture the diversity and accurately reflect user’s voice and the most up-to-date feedback
The App Store now offers review summaries in iOS 18.4, providing a high-level overview of user reviews while allowing for detailed exploration. This feature is powered by a multi-step LLM-based system that periodically summarizes user reviews. The aim is to ensure these summaries are inclusive, balanced, and accurately reflect the user’s voice, prioritizing safety, fairness, truthfulness, and helpfulness. This feature is a significant improvement over previous versions. Summarizing crowd-sourced user reviews presents several challenges, each of which we addressed to deliver accurate, high-quality summaries that are useful for users: Timeliness: App reviews change constantly due to new releases, features, and bug fixes. Summaries must dynamically adapt to stay relevant and reflect the most up-to-date user feedback. Diversity: Reviews vary in length, style, and informativeness. Summaries need to capture this diversity to provide both detailed and high-level insights without losing nuance. Accuracy: Not all reviews are specifically focused on an app’s experience and some can include off-topic comments. Summaries need to filter out noise to produce trustworthy summaries.