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- 📱 Perplexity Debuts AI Phone?
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Plus: Maserati Hits 198mph with AI
Read time: 5 minutes
So, it turns out OpenAI’s been quietly cooking up its own AI gadget in the background—pretty sneaky, right? But here’s the twist: Perplexity might steal the spotlight first. They’re buddying up with T-Mobile’s parent company to drop a new AI phone sometime later this year.
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AI INSIGHTS
🤖 How to Stand Out in An AI-savvy World
This report explores how tech leaders are customizing generative AI in their businesses and how important this customization is to their overall AI strategy.
Key Takeaways:
• Customization does more than just boost efficiency. Sure, 50% of executives say they customize AI models to improve efficiency. But that’s not the only reason. Nearly as many (49%) say it’s about creating unique solutions, 47% want better user satisfaction, and 42% are after more innovation and creativity.
• RAG is the backbone of AI performance. About 2/3 of companies are already using or looking into RAG for customization. More than half (54%) are also fine-tuning their models, showing that combining these methods with prompt engineering is the most effective approach.
• Automated evaluation is picking up steam. While over half (54%) of businesses still rely on manual methods to evaluate AI models, 26% are starting to shift toward automated methods or are already using them consistently.
• Data privacy and security are the biggest roadblocks. Around 52% of respondents say data integrity is the main challenge when customizing AI. In fact, 86% feel it’s become more important to focus on privacy and security as they increase their customization efforts. About one-third (32%) of all companies and 57% of the largest firms in the survey say it’s now a top priority.
• Advanced tools are giving developers a boost. More than half (53%) of organizations have adopted tools to help track and debug their AI models. Many are also using simplified toolsets (51%) and prompt management tools (46%) to improve collaboration between engineers.
Why it matters: With tools like Retrieval-Augmented Generation (RAG) and fine-tuning, companies can boost efficiency, accuracy, and user satisfaction. Customizing AI helps create solutions that are more aligned with business goals. By using tools like Google Cloud AI and Perplexity, businesses can take advantage of advanced features while keeping data secure through client-side processing. Still, there are challenges, like ensuring data quality, handling privacy concerns, and scaling AI solutions. But with the help of automated evaluation, companies can improve their AI performance.
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TODAY IN AI
AI HIGHLIGHTS
🤖 Opera becomes the first major browser to introduce AI-based agentic browsing with Browser Operator, an AI that completes web tasks for users. Unlike cloud-based solutions, it runs locally for faster, private browsing.
💬 Honor’s new AI assistant can handle tasks for you by reading and understanding your screen—no need for app integrations. Powered by Google Gemini 2, it runs on your device for faster, more private automation.
🦾 Google Colab is a free, cloud-based Jupyter Notebook that lets you run Python code directly in your browser. It also has an AI-powered tool that uses Google Gemini to automatically create notebooks for you.
🎬 Google is rolling out Project Astra’s live video and screen-sharing features to Gemini Advanced subscribers on Android this month.
📱 Deutsche Telekom’s AI Phone combines top AI tools like Perplexity, Google Cloud AI, ElevenLabs, and Picsart to create a smart, voice-controlled assistant that handles tasks like translation, email writing, and more.
💰 AI Daily Fundraising: Chinese AI startup Zhipu AI raised $137 million in funding, following a $3 billion investment in December. The funds will enhance its large language model and expand its AI ecosystem, focusing on business in Zhejiang and the Yangtze River Delta.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
🤖 MGX (MetaGPT X) is a multi-agent AI platform based on real software SOPs.
💬 Teamble AI helps give and get 10x better employee feedback throughout the year.
⚙️ Producta automates solving your Linear or Jira tickets.
📱 Reach by Artificial Societies tests content in a simulation of your own LinkedIn audience.
🧠 Comigo AI is a productivity co-pilot for people with ADHD.
AI QUICK HITS
🚀 @xai’s Grok-3 beats GPT-4.5 on Arena leaderboard (Link)
🚗 Maserati sets new autonomous driving speed record at 198mph (Link)
🤖 Amazon’s AWS forms group focused on agentic AI (Link)
💰 TSMC to invest $100B expanding US chip production (Link)
📚 OpenAI’s NextGenAI with 15 leading research institutions to boost research and education (Link)
AI CHART
AI tools like ChatGPT have quickly become a part of everyday work in various industries. But how much are businesses and organizations relying on AI for content creation? A recent study dives into this and shows some surprising trends in AI adoption.
1. A Surge in AI Adoption Post-ChatGPT
Since the launch of ChatGPT in November 2022, the use of large language models (LLMs) like ChatGPT has skyrocketed. By late 2024, the study found:
18% of consumer complaints now have AI-generated content.
24% of corporate press releases are modified or generated by LLMs.
Around 10% of job postings, especially in smaller, younger companies, are AI-driven.
14% of content from United Nations press releases is generated or altered by AI.
This rapid uptake shows how quickly businesses, governments, and other organizations have integrated LLMs into their content-creation processes.
2. Where AI Adoption Varies
AI adoption isn't uniform - certain regions and demographics are leading the charge:
Urban areas see higher AI usage, though rural areas are catching up.
Lower educational areas are adopting AI at faster rates, showing AI’s potential to help bridge gaps.
3. Smaller, Younger Companies Are Driving Adoption
Smaller and newer businesses are adopting AI more quickly:
Small companies (especially those with fewer employees) use AI more than larger firms.
Younger companies (founded after 2015) are leading the charge, with some job postings seeing over 10% AI-generated content.
This shows how younger, more agile companies use AI to stay competitive.
4. Stabilizing Growth in AI Adoption
While AI adoption surged post-ChatGPT, growth has started to slow by 2024. Possible reasons:
Saturation: Early adopters have already integrated AI, leaving fewer new users.
Advanced AI: Newer AI tools are getting better, making it harder to distinguish AI content from human content.
5. The Ups and Downs of AI in Writing
AI offers great benefits but also risks:
Benefits: It makes content creation faster and cheaper, helping businesses keep up with demand.
Risks: Overusing AI could lead to less credible or less engaging content, which might affect trust.
Conclusion: Balancing Efficiency and Authenticity
AI is reshaping how we create content, making it faster and more efficient. But as its use grows, businesses need to balance efficiency with authenticity to maintain trust. The future of AI in communication will depend on how well companies navigate this balance.
AI JOBS
Accenture: Center for Advanced AI - Applied Research Scientist Graduate Intern - NAELFY25 (Link)
Amazon Web Services (AWS): Machine Learning Engineer, Generative AI Innovation Center - Model Customization (Link)
TikTok: Machine Learning Engineer - Platform, Monetization Generative AI (Link)
Insight Global: Software Engineer - AI (Link)
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*Disclaimer: AI Fire is a news publisher. The opinions in this content are from the authors or paid advertisers. The information shared is for general purposes only and is not financial advice. It should not be seen as an offer to buy or sell investments. AI Fire does not guarantee the accuracy of the information. You should do your own research and talk to a financial adviser before making any investments. The publisher and its affiliates are not responsible for any losses from using this information.
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