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OpenAI Resurrects Cheaper, Faster GPT-3.5 Turbo That Now Powers Snapchat, Shopify, and More

OpenAI Resurrects Cheaper, Faster GPT-3.5 Turbo That Now Powers Snapchat, Shopify, and More

OpenAI has formally brought back its highly capable GPT‑3.5 Turbo API to developers, a significant step towards restoring the foundation of the original ChatGPT that delighted the world in 2022.
The revival is also intended to enhance AI integration in top platforms, providing developers with an optimized and cost-effective solution for creating advanced chatbot capabilities and smart assistants. GPT‑3.5 Turbo Returns OpenAI Resurrects Cheaper, Faster GPT-3.5 Turbo That Now Powers Snapchat,
The GPT-3.5 Turbo API is now open for integration with different apps and services. OpenAI assured that this version is much more affordable and stable compared to its previous versions, at a cost of only $0.002 per 1,000 tokens, 10 times less expensive than previous GPT-3.5 versions.
But it's not just about affordability. This refreshed API version is designed for more than chat-based applications. Developers can now use it to power innovative features beyond text conversations, signaling OpenAI's push to broaden AI use cases across industries. Major Apps Leveraging GPT‑3.5 Turbo API
With OpenAI potentially requiring developers to accomplish ID verification, we expect to see newer AI models in the coming weeks. Before that, several well-known brands were already incorporating GPT‑3.5 Turbo into their platforms: Snapchat (Snap Inc.): Snapchat+ subscribers can now enjoy "My AI," an individualized chatbot providing text edits, suggestions, and instant conversation augmentation.
Quizlet: Supporting more than 60 million students worldwide, the app will incorporate GPT‑3.5 Turbo to act as an interactive AI tutor, adjusting to users' levels of study and subjects.
Instacart: The "Ask Instacart" feature launching soon will enable shoppers to communicate with the platform in natural language queries—such as asking for recipe recommendations in relation to shopping lists.
Shopify: GPT-3.5 integration will enable an AI-based shopping assistant that provides personalized product suggestions to over 100 million users. Looking Back at GPT-3.5 and How It Came to Be
Released in November 2022, GPT‑3.5 became the basis of ChatGPT's free tier, remaining active until replaced by GPT-4o mini in mid-2024. Although it was widely used, GPT‑3.5 was criticized for producing intermittent "hallucinations" due to outdated training data (dating only through September 2021). The new Turbo variant removes these issues with increased stability and wider utility. Whisper API Gets a Major Upgrade
In addition to GPT‑3.5 Turbo's return, OpenAI has upgraded its Whisper API, the company's open-source speech-to-text model, Digital Trends reports.
Originally released in 2022, Whisper now offers faster processing and greater compatibility across audio formats like MP3, M4A, WAV, and WebM.
One of its most notable implementations is Speak, South Korea's leading English learning app. The Whisper API upgrade will support the app's global expansion and enhance its ability to offer open-ended, accurate language learning experiences. OpenAI's Strategic Shift on Open-Source and Older Models
In the face of increasing competition, particularly from Chinese AI brand DeepSeek, OpenAI is rethinking its open-source approach. CEO Sam Altman admitted recently in an AMA that the company had been "on the wrong side of history," suggesting greater openness and access for earlier models.
OpenAI's Chief Product Officer, Kevin Weil, also revealed the company might open-source more legacy models in the future. The Whisper API serves as a leading example of this shift.
Originally published on Tech Times

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You're Already Using Voice AI at Work — Here's How It's Changing Everything
You're Already Using Voice AI at Work — Here's How It's Changing Everything

Int'l Business Times

time3 days ago

  • Int'l Business Times

You're Already Using Voice AI at Work — Here's How It's Changing Everything

Welcome to Tech Times' AI EXPLAINED , where we look at the tech of today and tomorrow. Brought to you by Using voice AI at work is already happening. You might think AI at work means typing prompts into ChatGPT or getting a slick summary from your inbox. But the real shift is happening in your ears. From whispered prompts during Zoom calls to voice bots taking fast food orders, AI is quietly changing how we work, and you might not even realize it's there. Voice AI isn't just a flashy gadget or customer service gimmick. It's becoming a built-in layer across industries: transcribing your meetings, answering your calls, and even drafting your doctor's notes. As tools like Microsoft Copilot, and drive-thru voice bots quietly embed themselves in daily workflows, they're not only reshaping tasks, they're shifting what it means to show up, speak up, and stay relevant in a workplace that's learning to listen. Game studio founder and voice AI advisor Mike Sorrenti is bullish on the tech. "Voice ai is an excellent thing. It can be used for translation and many other things and if a very natural interface for kids, and older adults especially those with mild disabilities such as arthritis," he said in an email. Enhancing Workplace Productivity with Voice AI Visitors interact with Microsoft Copilot demos at a tech event, where AI-powered assistants like voice-enabled copilots are reshaping how we collaborate at work. A recent UK government study showed that civil servants who used Microsoft's Copilot AI for administrative tasks saved an average of 26 minutes a day, which works out to about two weeks of gained time per year. Voice AI plays a key role in this shift from the pre-AI workplace to the current AI workplace, becoming useful in transcription, summarization, and virtual meeting assistants. 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While that does mean that AI tools may replace workers at major companies, it does mean that smaller shops can afford the cost of entry to compete on the level of voice AI at larger corporations. Gev Balyan, CEO of Hoory AI says, "Startups and solopreneurs now have an always-on assistant — answering calls, qualifying leads, booking — at enterprise scale, without enterprise cost." What It All Means For You A glowing AI key on a sleek keyboard symbolizes how artificial intelligence — including voice-powered assistants — is becoming a built-in part of everyday work tools. So what does the current adoption of Voice AI mean for you. Whether you're running (or taking) meetings, answering customer support calls, or just trying to get through all the email you receive in a day, Voice AI is likely becoming a bigger part of your day, whether you realize it or not. The tools are changing how we connect with colleagues and higher-ups, the tasks that make up our daily work, and even what kinds of jobs are growing (or shrinking). As an employee, it could mean you'll do fewer routine tasks and spend more time thinking, making decisions, or even managing these AI tools directly. But you'll still need to learn to work with AI, knowing what it's good at, how to manage it when if makes mistakes, and how to communicate with AI tools that are always listening. As a business owner, you might feel like AI will boost your workers' productivity while reducing costs, but you'll also need to keep an eye out on issues of privacy, trust, and training. You may want to start hiring people who have higher levels of judgment, empathy, and communication to be able to work with your new AI systems. Bottom line, AI isn't coming for your job all at once, but it is coming to change parts of your job already. 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India is reaching for its own world-class AI engine – DW – 06/05/2025
India is reaching for its own world-class AI engine – DW – 06/05/2025

DW

time3 days ago

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India is reaching for its own world-class AI engine – DW – 06/05/2025

Despite thousands of AI startups cropping up in India, the nation has yet to produce its own premium AI engine. Why is there no Indian version of DeepSeek or ChatGPT? With over 5 million IT workers and a growing focus on artifical intelligence (AI) in education, Indiaseems to be in an ideal position for what is shaping up to be a global race in AI technology. But while the US set the global AI standard with ChatGPT in 2023, and China quickly closed the gap with its powerful chatbot DeepSeek, India has yet to produce an equivalent Large Language Model (LLM) that can mimic human communication. And it's not for the lack of ambition. According to data from market intelligence firm Tracxn, the Indian AI sector includes 7,114 startups that have collectively raised $23 billion (€20.15 billion) in equity funding so far. Last year, Prime Minister Narendra Modi's Cabinet approved the IndiaAI Mission initiative with a budget of nearly $1.21 billion, aiming to "undertake the development and deployment of indigenous Large Multimodal Models (LMMs) and domain-specific foundational models in critical sectors." DeepSeek: Cheap AI model shakes up tech industry To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video This week, IndiaAI Mission CEO Abhishek Singh said Indian startups need to think beyond their home turf to compete and succeed against global giants. "They will have to ultimately compete with the best in the world," Singh said at the Accel AI Summit in Bengaluru. "Initial level of support may come from the government, but that will not sustain them in the long run." "They will have to have a global vision in mind when they are training models," Singh said. AI development needs industry, government and academia Representatives of the National Association of Software and Service Companies (NASSCOM), the voice of India's $283 billion tech industry, point out that building a globally recognized AI model is a complex, resource-intensive process. "The argument is not whether India can catch up, but whether we can move fast enough and define an AI identity on our own," Satyaki Maitra, senior manager communications of NASSCOM, told DW. Last week, IndiaAI Mission announced the addition of 15,916 Graphics Processing Units (GPUs), which are essential for AI research due to their capacity to perform calculations in parallel. The latest boost will bring the total national AI computing capacity to 34,333 GPUs through public-private partnerships. NVIDIA profits up, despite trade war challenges To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Startups such as Gan AI, Gnan AI, SarvamAI and Soket AI, supported by the IndiaAI Mission, are building foundational models tailored to India, while firms like Sarvam AI, Fractal and CoRover AI are focusing on AI innovation. "However, AI success cannot be achieved through isolated innovation," said Maitra. "It requires cohesive collaboration between government, industry, and academia to build the full value chain, from compute and data governance to model training and real-world deployment." What is holding Indian AI back? Pawan Duggal, the country's foremost cybersecurity expert, told DW that India is likely to face a shortage of high-end AI hardware, limited access to advanced GPUs, and insufficient cloud computing resources, which are essential for training large-scale AI models. "There is also a significant investment shortfall when compared to global peers. While venture capital investment in Indian AI startups has increased, it remains a fraction of what is seen in the US or China," said Duggal. "The US invested $2.34 trillion and China $832 billion in ventures and startups from 2014 to 2023, while India invested $145 billion in the same period," he added. Can AI blackmail us? Facts vs. fear To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Duggal believes that India is already moving towards creating its own AI model, but it has yet to address significant challenges including infrastructure, funding, talent, data, and regulation. 'Brains are plenty in India' Another issue facing Indian engineers is the diversity of languages in India, with English being just one of 22 official languages in the world's most populous country. 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Give this talent, patient capital and clear problems and a compact, world-class LLM can be launched in two, three years," Vaishnav told DW. Edited by: Darko Janjevic

AI Startup Backed by Microsoft Revealed to Be 700 Indian Employees Pretending to Be Chatbots
AI Startup Backed by Microsoft Revealed to Be 700 Indian Employees Pretending to Be Chatbots

Int'l Business Times

time5 days ago

  • Int'l Business Times

AI Startup Backed by Microsoft Revealed to Be 700 Indian Employees Pretending to Be Chatbots

A once-hyped AI startup backed by Microsoft has filed for bankruptcy after it was revealed that its so-called artificial intelligence was actually hundreds of human workers in India pretending to be chatbots. a London-based company previously valued at $1.5 billion, marketed its platform as an AI-powered solution that made building apps as simple as ordering pizza. Its virtual assistant, "Natasha," was supposed to generate software using artificial intelligence. In reality, nearly 700 engineers in India were manually coding customer requests behind the scenes, the Times of India reported. The ruse began to collapse in May when lender Viola Credit seized $37 million from the company's accounts, uncovering that had inflated its 2024 revenue projections by 300%. An audit revealed the company generated just $50 million in revenue, far below the $220 million it claimed to investors. A Wall Street Journal report from 2019 had already questioned AI claims, and a former executive sued the company that same year for allegedly misleading investors and overstating its technical capabilities. Despite that, the company raised over $445 million from big names including Microsoft and the Qatar Investment Authority. collapse has triggered a federal investigation in the U.S., with prosecutors in New York requesting financial documents and customer records. Founder Sachin Dev Duggal stepped down earlier this year and was replaced by Manpreet Ratia, who reportedly uncovered the company's internal misrepresentations. The company now owes millions to Amazon and Microsoft in cloud computing costs and has laid off around 1,000 employees. On LinkedIn , the company announced its entry into insolvency proceedings, citing "historic challenges and past decisions" that strained its finances. The fallout is seen as one of the biggest failures of the post-ChatGPT AI investment boom and has renewed scrutiny of "AI washing"—the trend of rebranding manual services as artificial intelligence to secure funding. Originally published on Latin Times

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