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- 🛡 AI vs. Hacking-as-a-Service
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Read time: 5 minutes
If we put ChatGPT’s Deep Research head-to-head with Gemini, Perplexity, and Grok AI in a battle of brains - testing which one delivers the deepest insights, sharpest writing, and most engaging reports. Which AI came out on top?
What are on FIRE 🔥
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AI INSIGHTS
AI agents market is becoming one of the fastest-growing segments in tech. The global market size is estimated to grow from USD 5.29 billion in the current year to USD 216.8 billion by 2035, at a CAGR of 40.15% during the forecast period.
But which roles and technologies are growing fastest? And what does it mean for future jobs, startups, or tech leaders?
📈 Growth Drivers:
Advances in NLP → more human-like, intelligent interactions.
Automation push → cuts operational costs and boosts efficiency.
Demand for personalization → AI agents can deliver specific experiences at scale.
Rise of industry-specific assistants (legal, healthcare, etc.) → more niche opportunities.
🧱 Market Segments & Trends:
By Agent System: Single agents dominate. Multi-agent systems expected to grow faster.
By Agent Role: Code generation is now the top role.
By Application: Customer service & virtual assistants lead current usage. But Healthcare agents growing fastest, used for diagnosis support.
By Product Type: Ready-to-deploy agents win. Build-your-own agents are also rising fast.
💼 Major tech players include: Amazon, Google, Microsoft, Apple, Meta, NVIDIA, IBM. Also rising: Alibaba, Baidu, Oracle, Salesforce, Avaamo, SoundHound.
One surprising trend is that what started as customer-facing chatbots is now expanding into full-stack assistants that write code, analyze medical data, manage marketing campaigns, and operate machinery in agriculture.
Why It Matters: One agent can now replace entire teams. Code-generation agents may soon become core development tools, every engineer might have an AI "copilot". The line between AI as a tool and AI as a teammate is truly blurring. Will you ride it or get left behind?
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TODAY IN AI
AI HIGHLIGHTS
🚀 LinkedIn announced a new AI job search tool that lets you describe dream jobs in your own words and delivers the most suitable jobs – even surfacing roles you didn’t know existed. Try it here.
💻 ChatGPT’s deep research tool gets a GitHub connector for real-time code analysis. You can use this feature by asking questions about a codebase and engineering documents.
🛡️ Microsoft is battling an international cybercrime group that engaged in "hacking-as-a-service", even when scammers use “cloaking” & used thousands of prompts to generate AI prohibited images.
🧪 If we tested ChatGPT's Deep Research against Gemini, Perplexity, and Grok AI to find the most thorough, in-depth, and interesting to read report, guess which AI fared the best?
Which AI model is the most powerful Deep Researcher?Before seeing which one is the champion, take a guess first. |
😹 China's Baidu looks to patent AI system to decipher animal sounds and supposedly help you understand your pets’ emotions. It’ll use animals’ vocal sounds, behaviour and physiological signals.
🤑 Gemini 2.5 Models (Pro & Flash) now support “implicit caching” to make accessing its latest AI models cheaper, a 75% cost savings.
💰 AI Daily Fundraising: TSOLife raised $43 million in Series B funding, led by PeakSpan Capital, boosting their total to $52 million. Their AI platform, Minerva, improves senior living by personalizing experiences and enhancing efficiency.
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AI QUICK HITS
🎬 Runway’s AI studio launches 6-minute pilot for ‘Mars & Siv: No vacancy’.
🔒 Microsoft employees are banned from using DeepSeek app due to security.
👩🔬 YC’s Summer 2025 “Request for Startups” is out with lists of 100 AI startups within each of the 14 business ideas.
🌊 Windsurf unveiled its “biggest batch of updates” with MCP integration.
🔄 Google DeepMind CEO suggests “learning to learn”, and bracing for change.
AI CHART
A new Duke University study reveals that people who use AI at work are often judged as lazy or less competent, regardless of how effective the AI use is. And even colleagues who benefit from AI may judge others who do the same. So, is AI a silent productivity partner or a silent reputation killer?
1. AI Users Are Perceived More Negatively. People using AI tools were viewed as: lazier, less diligent, less competent, more replaceable. These negative perceptions were stronger than those faced by people using non-AI tools.
2. Employees Often Hide Their AI Use. Many workers choose not to disclose AI use, fearing stigma and professional judgment. This has led to the term “secret cyborgs” referring to those who use AI tools in secret.
3. The Bias Is Universal Across Demographics. The negative perception existed across all groups. No one was spared or judged differently based on who they were.
4. AI Use Affects Hiring Decisions. Managers who rarely use AI themselves were less likely to hire candidates who do. Managers familiar with AI, on the other hand, favored AI-using candidates.
The main reason behind the bias was the belief that AI users are not working as hard. However, when AI use was shown to be task-appropriate, these negative perceptions significantly decreased.
This isn’t the first time tech faced stigma. Do you know that calculators were once banned in schools for “doing the thinking”. AI appears to be the latest in a long line of useful but socially resisted tools.
AI JOBS
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The AI Fire Team
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