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Last time, I showed you a wild chart: the #1 reason people use AI is to pour out their soul. But AI chatbot just "absorbs" the vibe... and suddenly, it starts giving advice that's even more anxious than you are. That is a feedback loop?
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AI INSIGHTS
Microsoft dug into data from 31,000 workers, LinkedIn trends, and trillions of productivity signals - and the answer is clear: we’re entering the age of Frontier Firms. Powered by AI and hybrid human-agent teams → These organizations are move fast, and redefine how work gets done.
1. The journey to the Frontier Firm is playing out in three phases:
Assistant: AI helps complete tasks faster, cutting out repetitive work.
Colleague: AI agents handle tasks under human direction, scaling individual impact.
Manager: AI runs workflows end-to-end, with humans guiding strategy and stepping in when needed.
2. Who has an agent boss mindset?
-> Last year, employees led the AI wave. This year, its leaders.
67% of leaders are familiar with AI agents, compared to 40% of employees.
Nearly a third of leaders save more than an hour a day using AI.
3. The common thread? AI literacy. It’s becoming one of the most in-demand skills of 2025 - according to LinkedIn.
4. Companies that invest in upskilling now won’t just stay competitive — they’ll define the future of work.
47% of leaders list upskilling existing employees as a top workforce strategy for the next 12–18 months.
51% of managers say AI training or upskilling will become a key responsibility for their teams within five years.
35% of managers are considering hiring AI trainers to guide employee adoption in the next 12–18 months.
Why it matters: Frontier Firms don’t just use AI - they build around it. This shift is not just about adopting new tools, but about rethinking workflows, roles, and decision-making. It’s a transformation in how work is structured and scaled. The companies that invest in AI skills, systems, and mindset today will be the ones setting the pace - and the standards - for tomorrow’s workforce.
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What is the effect of relaxation techniques on ChatGPT’s anxiety? |
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TODAY IN AI
AI HIGHLIGHTS
🚀 OpenAI is set to release a truly Free "open" AI model since GPT‑2, no API required, for the first time in 5 years. Its “handoff” feature can call models in the cloud for extra help.
🧠 Anthropic launches research on AI “model welfare” while others have grown tremendously. Are we closer to AI with consciousness and moral consideration?
If AI Systems Become Conscious, Should They Have Rights? |
🚨 Google’s AI Overviews now reach more than 1.5 billion people every month. But they would be broken up cause Chrome might end up in OpenAI’s hands after crushing antitrust losses…
⚡️ Nvidia shrugs off DeepSeek panic, calling the reaction just a “kneejerk”. No slowdown here, AI is booming, and power demand is only climbing. Amazon’s all-in too.
🎨 Adobe’s revamped Firefly app lets you use models from Google, OpenAI, and more! It helps you storyboard and “iterate on hundreds of variations at once.”
🌀 ChatGPT can "catch" anxiety from users and creates a feedback loop. Stressed user → Stressed chatbot → More stressed user → 🔁
💰 AI Daily Fundraising: Supabase, an open-source alternative to Firebase, just raised $200M in Series D funding, backed by Y Combinator and OpenAI’s CPO. This boosts its valuation to $2B - a top platform for app hosting.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
🖼️ OpenAI Image API features gpt-image-1 bring images to your apps.
💻 Alter talks to your Mac and get things done fast with an AI copilot.
🔍 Icon, the world’s first AI CMO, can plan, create & run 1000s of winning ads end-to-end.
💬 Jo talks to your users, gets insights, and crafts something they'll love.
📱 Autoread automatically responds to iMessages using custom prompts.
AI QUICK HITS
⚡ OpenAI just doubled rate limits for o3 and o4-mini-high for Plus users.
🎵 Google’s Music AI Sandbox, now with new features and broader access.
🎬 Alibaba is offering unlimited access to Wan video generator or priority credits.
🔵 WhatsApp guides users to block unremovable Meta AI chat-by-chat.
💯 OpenAI rolls out a ‘lightweight’ version of its deep research tool.
AI CHEAT SHEET
AI CHART
If you think that robots, machines, or AI are never wrong, you’re mistaken—sorry to say that. Microsoft’s AI Red Team just released a new whitepaper about the taxonomy of failure modes, which is basically a guide to all the ways agentic AI systems can go wrong.
They grouped failures into:
Security issues (like agents being hacked or tricked),
Safety issues (like bias or harmful decisions),
Within those, new agent-specific problems and old AI issues now have higher stakes.
Memory poisoning - one email can sneak in a hidden command, and suddenly your AI is forwarding sensitive info to the wrong person.
Agent impersonation - a fake agent pretends to be a legit one and hijacks workflows.
Bias amplification - agents might favor certain users or actions, often without us noticing.
→ So, how do we fix this?
Give agents clear identities and role-based permissions.
Control memory access - no blind trust.
Build in audit trails and transparency for users.
And seriously - don’t trust external data unless it’s verified.
Agentic AI is incredibly promising, but it comes with new risks. This isn’t just about clever prompts or model tuning anymore — it’s about system-level thinking. We need to treat these agents like semi-autonomous coworkers — with responsibilities, boundaries, and oversight.
If we get that right, the future is exciting. If not... well, let’s just say someone’s assistant might accidentally fire an employee one day.
AI JOBS
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The AI Fire Team
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