“We’re drowning in alerts, but I’m still worried the real threat is slipping through.” This common CISO complaint isn’t a data problem—it’s a clarity problem. It’s time for a new cybersecurity strategy focused on synthesis, intelligence, and automation instead of noise…
“We’re drowning in alerts… and I’m still worried the real threat is slipping through.”
A CISO told me this recently — and it’s something I hear in nearly every industry.
For years, the common answer was simple: add more tools, collect more logs. Yet despite billions in global security spend, the mean time to detect and respond to threats is still alarmingly high.
The truth? You don’t have a data problem. You have a clarity problem. We’ve become experts at managing a patchwork of security tools — but not at managing the actual risk to our organizations.
A clear guide to ChatGPT User Limits in 2025 — including GPT-5, GPT-4 family, o3/o4-mini, and more. Learn the exact message caps for Plus, Team, and Enterprise plans, how resets work, and practical tips to avoid hitting limits.
This guide explains ChatGPT User Limits in 2025 in plain language — what each model’s caps are, how resets work, and practical steps to avoid interruptions in your workflow. GPT-5 is listed first because it introduces new selection and quota behaviors you should know about.
The various models in the ChatGPT suite are designed for different types of tasks. Below are their current limits, separated into functional categories.
Quick reference — at a glance (most restricted → least)
GPT-5 / GPT-5-Thinking
Free tier: 1 GPT-5-Thinking message per day.
Plus / Team (manual selection): up to 200 GPT-5-Thinking messages per week from the model picker.
ChatGPT Team / Pro: unlimited access to GPT-5 models subject to abuse guardrails.
Automatic switching from GPT-5 → GPT-5-Thinking does not count toward the weekly manual-selection limit.
GPT-4.5 — 50 messages per week.
GPT-4 — 40 messages every 3 hours (includes interactions with custom GPTs).
GPT-4o — 80 messages every 3 hours.
GPT-4.1 — 80 messages every 3 hours.
GPT-4.1 mini — Unlimited usage.
Thinking / Research models
Deep Research Tool — 10 queries per month.
o3 pro — 20 messages per month (availability: Team, Enterprise, Pro).
o3 — 100 messages per week.
o4-mini-high — 100 messages per day.
o4-mini — 300 messages per day.
Platform-level note: ChatGPT Plus users can send up to 80 messages every 3 hours across the suite before the UI may switch to a mini model fallback; after that fallback, the mini model remains until the limit resets.
Me presenting on stage at a Microsoft event with Satya Nadella’s quote, „We empower every person and every organization on the planet to achieve more,“ displayed in the background.
Today marks a significant milestone in my career – 5 impactful years at Microsoft. Reflecting on this strategic journey, I’m filled with gratitude for the growth opportunities, the relentless pace of innovation, and the truly unique sense of community.
As I look back, several core lessons and experiences stand out:
1. An Empowering Culture as a Foundation for Success
From my very first day at Microsoft, I experienced Microsoft’s remarkably empowering and collaborative culture. Feeling welcomed and valued isn’t just pleasant; it’s fundamental to enabling teams to tackle complex challenges and achieve remarkable things together. The camaraderie here is genuinely special and creates an environment where innovation thrives through mutual respect and shared purpose.
2. AI: The Strategic Engine of Transformation
At Microsoft, AI is far more than a buzzword – it’s the strategic engine driving transformative change at scale. I’ve been deeply involved in witnessing and contributing to how AI fundamentally reshapes industries and empowers new possibilities. The speed and scope of innovation, particularly in AI, remain truly mind-blowing and exhilarating.
3. Responsible AI: Building Trust and Sustainable Impact
Microsoft’s unwavering commitment to Responsible AI is a fundamental pillar I deeply admire. There’s a pervasive dedication to building technology with integrity and humility. This focus on ethical AI development isn’t an afterthought; it’s integral to every stage, ensuring we build lasting trust and strive for technology that serves humanity through sustainable and equitable outcomes.
4. Aligning Technology with Purpose: Lessons from TSI
My work, particularly within Tech for Social Impact (TSI), powerfully illustrates the principle of aligning technology with purpose. It’s been incredibly rewarding to contribute to shaping a better future by empowering diverse organizations. Seeing ambitious tools like Copilot enable significant positive change reinforces the drive to leverage technology for meaningful impact across all sectors.
5. Continuous Learning as a Catalyst for Innovation
A culture of continuous learning and innovation is absolutely core to Microsoft’s dynamism. Opportunities abound, manifest in initiatives like the Microsoft Garage and countless volunteer projects that encourage pushing boundaries. This ingrained emphasis on staying curious and embracing growth is crucial for staying ahead in a rapidly evolving landscape and driving future innovation.
Looking Ahead
A heartfelt thank you goes out to the many mentors, managers, and colleagues whose support and collaboration have been instrumental on this journey. I’m incredibly proud of what we’ve collectively achieved and genuinely excited to contribute to future innovations and impact. Here’s to continued growth, collaboration, and executing on a shared vision of creating technology that empowers everyone.
If you’d like to stay updated on my journey and insights on AI, digital transformation, and more, follow me on LinkedIn, Twitter, and Instagram.
Digitalisierung in Singapur: Laborfleisch, Servierroboter und Smart City Infrastruktur – Ein Podcast-Reisebericht aus Singapur
In der neuesten Folge von Die Digitalisierung und Wir haben wir uns ein ganz besonderes Thema vorgenommen: Singapur! Florian war vor Kurzem in der Stadt, die als eines der globalen Zentren für Technologie und Innovation gilt, und teilt seine Eindrücke und Erfahrungen mit uns. In diesem Beitrag erfahrt ihr, wie sich die Digitalisierung in Singapur auf verschiedene Lebensbereiche auswirkt und was wir davon lernen können.
Servierroboter und Laborfleisch: Die Zukunft der Gastronomie?
In Singapur sind technologische Innovationen nicht nur in den Büros und Laboren zu finden, sondern auch in den Restaurants. Florian berichtet von seinen Erfahrungen mit Servierrobotern, die in einigen Restaurants das Essen an die Tische bringen. Doch nicht nur der Service, auch die Speisen selbst sind futuristisch: Fleisch aus dem Labor ist hier keine Seltenheit und könnte eine Antwort auf die wachsende Nachfrage nach nachhaltigen Lebensmitteln sein.
Smart City: Vom Verkehr bis zur Architektur
Die U-Bahnen in Singapur sind ein Paradebeispiel für benutzerfreundlichen und effizienten öffentlichen Nahverkehr. Aber auch auf der Straße zeigt sich die Digitalisierung in Singapur: Der Taxidienst Grab hat das Fortbewegen in der Stadt revolutioniert. Und wer durch Singapur geht, dem fallen sofort die futuristischen Gebäude und die metamoderne Architektur auf.
Digitale Kommunikation und Innovation
WhatsApp ist in Singapur allgegenwärtig und wird sogar im öffentlichen Raum eingesetzt. Die Stadt ist zudem Heimat für das japanische VC-Unternehmen Softbank, das weltweit in Technologie und Innovation investiert. Und es gibt Spekulationen, dass Jony Ive zusammen mit OpenAI an einem neuen KI-Gerät arbeitet.
Zum Abschluss möchten wir noch einen Blick über den Tellerrand hinaus werfen: Künstliche Intelligenz ist nicht nur in den Straßen Singapurs präsent, sondern auch in den Büros moderner Unternehmen unverzichtbar geworden. Im Blogpost Künstliche Intelligenz im Controlling: Ein unverzichtbares Werkzeug für moderne Unternehmen gehe ich auf die vielfältigen Einsatzmöglichkeiten von KI-Technologien wie GPT-4 und DALL-E 3 ein und illustriere anhand zahlreicher Praxisbeispiele, wie sie Controlling-Prozesse durch KI weiterentwickelt werden.
Verpassen Sie nicht unsere weiteren spannenden Diskussionen über die Schnittstellen von Technologie und Wirtschaft – abonnieren Sie den Podcast Die Digitalisierung und Wir und bleiben Sie stets informiert über die neuesten Trends und Entwicklungen.
Welcome to another edition of the Data & AI Digest! We’re excited to bring you a curated selection of the week’s most compelling stories in the realm of data science, artificial intelligence, and more. Whether you’re a seasoned expert or a curious beginner, there’s something here for everyone.
[AI] Understanding AI Performance: Discover how modern AI models often match or exceed human capabilities in tests, yet struggle in real-world applications. Read more
[AI] Generative AI Strategy for Tech Leaders: CIOs and CTOs need to integrate generative AI into their tech architecture effectively. Explore 5 key elements for successful implementation. Read more
[Statistics] Mastering the Central Limit Theorem in R: Understand the Central Limit Theorem, a cornerstone in statistics, and learn how to simulate it using R in this step-by-step tutorial. Read more
[Graph Theory] Comprehensive Introduction to Graph Theory: This quarter-long course covers everything from simple graphs to Eulerian circuits and spanning trees. Read more
[SQL] SQL Konferenz Highlights on Microsoft Fabric: Get an in-depth look at Microsoft Fabric and its role as a Data Platform for the Era of AI. Read more
[Microsoft] Forbes Insights on Microsoft’s Copilots: Learn six critical things every business owner should know about Microsoft Copilot. Read more
[GitHub] How GitHub’s Copilot is Being Used: GitHub’s Copilot remains the most popular AI-based code completion service. Find out the latest usage trends. Read more
[Apple] iPhone 15 Pro’s Spatial Videos: Teased at Apple’s latest keynote, learn about the new spatial video capabilities of the iPhone 15 Pro. Read more
[Geopolitics] China’s AI Influence Campaign: Researchers from Microsoft and other organizations discuss Beijing’s rapid change in disinformation tactics through AI. Read more
That’s a wrap for this week’s Data & AI Digest! We hope you found these articles insightful and thought-provoking. If you enjoyed this issue, help us make it bigger and better by sharing it with colleagues and friends. 🚀
Don’t forget, for real-time updates and discussions, join our LinkedIn Data & AI User Group. We look forward to your active participation and valuable insights.
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