Researchers develop new ways for AI models to work together
The development, by researchers at the Weizmann Institute of Science (WIS) makes it possible to combine the strengths of different AI systems, speeding up performance and reducing costs, Xinhua news agency reported.
The new method significantly improves the speed of large language models, or LLMs, which power tools like ChatGPT and Gemini.
On average, it increases performance by 1.5 times, and in some cases by as much as 2.8 times, the team said, adding that it could make AI more suitable for smartphones, drones, and autonomous vehicles.
In those settings, faster response times can be critical to safety and accuracy. For example, in a self-driving car, a faster AI model can mean the difference between a safe decision and a dangerous error. Until now, AI models developed by different companies could not easily communicate or collaborate because each uses a different internal 'language,' made up of unique tokens.
The researchers compared this to people from different countries trying to talk without a shared vocabulary.
To overcome this, the team developed two algorithms. One allows a model to translate its output into a shared format that other models can understand. The other encourages collaboration using tokens that have the same meaning across different systems, like common words in human languages.
Though initially concerned that meaning might be lost in translation, the researchers found that their system worked efficiently.
The new tools are already available through open-source platforms and are helping developers worldwide create faster and more collaborative AI applications.
The finding was presented at the International Conference on Machine Learning being held in Vancouver, Canada.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Mint
35 minutes ago
- Mint
Nothing's CMF Watch 3 Pro debuts with ChatGPT and larger display, but leaves mixed signals
The latest smartwatch from Nothing's CMF Watch 3 Pro launched globally on Tuesday under its affordable CMF sub brand. It improves the heart rate sensor, battery life of up to 13 days, ChatGPT integration and GPS tracking capabilities of its predecessor but it gives up on some of its customisability. Priced at $99 (approximately ₹ 4,999) and currently available for $79 (around ₹ 3,999), the CMF Watch 3 Pro is aimed at budget smartwatch users looking beyond basic step counts and call alerts. It looks ambitious at first glance, but in practice, the watch feels caught between trying to be smart and playing it safe. The CMF Watch Pro 3 keeps a familiar look, much like the Watch Pro 2, but brings a few small changes. The 1.43 inch AMOLED display is slightly larger than the previous 1.32 inch, giving about a 10% bump in screen to body ratio. It also supports an always on display, comes with a metal case, and has silicone straps. That extra bit of screen space does help, especially when glancing at data or navigating through tiles. The standout feature of the CMF Watch 3 Pro is its ChatGPT integration, which lets users speak to the watch for quick responses like weather updates, setting timers, or general queries. Since there's no speaker, replies show up as text on the screen. This makes the interaction feel more like a visual shortcut than real voice assistance. Still, it remains a rare feature at this price. The dual band GPS makes a real difference, especially in crowded or signal prone areas. Nothing says this is a big step up from the Watch Pro 2, helping it hold a stronger signal and follow routes more clearly even in places where regular GPS might struggle. The smartwatch takes about 99 minutes to completely charge. Nothing says it can last up to 13 days with regular use, which is about two days more than the last model. With heavier health tracking, battery life drops to around 11 days. If you keep the always on display turned on, expect around 4.5 days of use. Health tracking on the CMF Watch 3 Pro covers the basics well, offering heart rate, sleep, stress, and menstrual cycle tracking, along with 130 workout modes. Smartwatch users can now manage these features using the updated Nothing X app, which brings a cleaner interface and support for syncing with Strava, Apple Health, and Google Health Connect. Nothing also confirmed that previous models like Watch Pro and Watch Pro 2 will gradually move to the same app environment. The battery life of this smartwatch is said to last up to 13 days with basic usage and about 6 to 7 days with regular health tracking. A full charge takes about 90 minutes using the magnetic cable. The CMF Watch 3 Pro gets some key things right. The sharper display, better GPS, and ChatGPT support do lift the experience in small but clear ways. ChatGPT is fun to show off, but you'll likely stop using it after the first few days. Still, the software keeps it in check. You can't reply to messages, store music, or use third-party apps. It looks smart and does the basics well, but for those expecting full smartwatch depth, it's not quite there yet.
Indian Express
an hour ago
- Indian Express
Google Keep reminders will soon move to Tasks: Here's what's changing
In April last year, Google announced that Keep reminders would be automatically saved to Tasks sometime in 2025, but did not share details on when the change would go live. Now, on its support page, the tech giant has confirmed that Keep reminders will integrate with Tasks in the coming months before the end of the year. And while Google is yet to share the exact date, the company has shared some more details about its plan. According to the tech giant, the upcoming integration will make it easier for users to organise and manage all their to-dos in one place. Google says you can also ask Assistant or Gemini to set a reminder on your device or smart display, which will then be saved as a task in Google Tasks, with the app sending you a reminder when it's time to complete the task. If a reminder is based on a location, the location will automatically be added to the task's details field, but you will no longer get a notification based on that location. In case you are assigned a reminder by someone else, the assigner's name will be added to the task's title, but they won't have access to that reminder. Also, if you leave a task incomplete, it will show up on your calendar for up to 365 days as a 'Pending task' in the all-day section of the calendar. Google will also allow you to manage reminders that are converted to tasks using Assistant commands like 'Hey Google, show me my tasks' or 'Hey Google, show me my reminders.' One thing to note here is that you don't necessarily need the Tasks app installed to use reminders with Google Assistant. Apart from Google Tasks, you can also get task notifications from the Calendar and the Google app.
Hindustan Times
2 hours ago
- Hindustan Times
AI Search Is Growing More Quickly Than Expected
Chatbots are becoming the go-to source for online answers for many consumers, chipping away at the dominance of traditional web search and adding another avenue of outreach that brands must cultivate to connect with customers. An estimated 5.6% of U.S. search traffic on desktop browsers last month went to an AI-powered large language model like ChatGPT or Perplexity, according to Datos, a market intelligence firm that tracks web users' behavior. That pales beside the 94.4% that still went to traditional search engines like Alphabet's Google or Microsoft's Bing, which have tried to fight off the new competition by adding artificial intelligence summaries to the top of their search results. But the percentage of traffic that went to browser-based AI search has more than doubled since June 2024, when it was 2.48%, according to Datos, which is part of marketing software company Semrush. It has more than quadrupled since January 2024, when the figure was just under 1.3%. Datos says it draws its data from more than 10 million panelists worldwide who agree to have their behavior on desktop browsers observed anonymously in exchange for rewards such as free access to software products from the company's partners. The numbers exclude activity on mobile browsers and apps including those from OpenAI's ChatGPT and Google. The rapid growth in AI searches could mark a sea change in online behavior comparable to the emergence of Google's web browser and the first social-media platforms, according to Eli Goodman, chief executive and co-founder of Datos. The numbers are more striking among so-called early adopters, or consumers who had already started using LLMs in desktop browsers when Datos began tracking their behavior in April 2024. Forty percent of desktop browser visits among these early adopters went to LLMs, up from just over 24% in June 2024, Datos research found. Traditional search engines' share of the desktop browser traffic from these early adopters fell significantly in the same period, to 61% in June from around 76% a year earlier. The amount of time that consumers worldwide spent on traditional search apps and websites declined 3% from April 2024 to April 2025, according to a report released last month by market research firm Sensor Tower. The drop was twice as high among early adopters, defined as people who first downloaded ChatGPT in 2023, the report said. Use of Google's traditional search product is still growing, and the AI overviews that now appear on Google searches are leading to more queries that connect consumers to businesses, a Google spokeswoman said. The growth in AI searches, plus the appearance of AI overviews in traditional search browsers, is likely to further depress search traffic to the websites where brands have long directed energy, resources and search advertising, according to Neil Vogel, CEO of Dotdash Meredith, the publisher of magazine and digital brands including People and Better Homes & Gardens. Dotdash Meredith Chief Executive Neil Vogel. Organic search traffic to large news sites such as Business Insider, the Washington Post and HuffPost has fallen by large margins over the past three years, a drop publishers blame on AI responses that fulfill searchers' curiosity without requiring a click. Marketers in response are racing to make sure their names show up in AI searches. For brands, the most important difference between LLMs and browsers is that LLMs reveal one answer rather than a list of links, giving businesses fewer openings to appear before consumers, said Vogel. 'All the brands are terrified they're not going to be included in these AI answers,' he said. The trend has inspired a new wave of AI-optimization startups that promise to help marketers adapt. Businesses should move cautiously despite the apparent speed of change, according to Goodman, the Datos CEO. Search engines still handle an overwhelming majority of overall search traffic and remain firmly embedded in the smartphones that occupy so much of our time, he said. Brands must also remember that AI searches often serve different needs than a traditional google search, he said. 'Over 90% of all of the AI searches are what we call informational or productivity-based: Help me solve this problem, help me answer this question,' said Goodman. Traditional search result pages, on the other hand, were designed to lead consumers out to other destinations online, he said. AI chatbots for now are less a replacement for traditional search engines than another emerging responsibility for marketers, according to Andrew Lipsman, founder of consulting firm Media, Ads + Commerce. Lipsman compared the emergence of AI to the rise of smartphones, which led to predictions that consumers would abandon computers altogether. Desktop traffic numbers over the past decade have barely budged, however, even as mobile use grew, according to research from Comscore. The spread of advertising in AI search replies may become the next turning point because it will demand new spending from brands that want to stay competitive online, Lipsman said. OpenAI says it has no plans to develop ad products. Perplexity has begun experimenting with sponsored searches, however, and last year hired a head of advertising and shopping. Perplexity this year also released its own web browser, where searches are handled by its AI instead of a traditional engine like Google or Bing. The company says its search gives users 'the choice to navigate the web.' OpenAI is close to releasing a browser as well, Reuters reported this month. The company declined to comment. News Corp, owner of The Wall Street Journal, has a content-licensing partnership with OpenAI and a commercial agreement to supply content on Google platforms. Write to Patrick Coffee at
