Good morning, AI enthusiast.

ChatGPT is getting a major personality upgrade with the release of GPT-5.1. The latest update from OpenAI adds eight conversational presets, allowing users to customize the AI's tone from professional to cynical.

The push for personalization, which also includes more efficient “adaptive reasoning,” signals a significant shift in AI interaction. But how will this move change our expectations for what an AI collaborator can be?

In today’s AI recap:

• OpenAI adds personalities to GPT-5.1

• Anthropic’s $50B infrastructure bet

• Why 97% of people can't spot AI music

• The race to build quantum computers

• 8 trending AI Tools

ChatGPT Gets a Personality

The Recap: OpenAI is rolling out GPT-5.1, a major update that makes ChatGPT more conversational and introduces eight personality presets for users to customize its tone.

Unpacked:

• Citing over 800 million users, OpenAI aims to move beyond a one-size-fits-all approach by offering more tailored interaction styles.

• You can now choose from eight presets—including Professional, Quirky, and Cynical—to better align the model's communication style with your task or preference.

• The update also improves the underlying models, introducing adaptive reasoning so ChatGPT can spend more time on complex problems and reply faster to simple ones.

Bottom line: This shift toward personalization signals a future where interacting with AI feels less like using a generic tool and more like collaborating with an assistant tuned to your specific needs. It also demonstrates how user feedback is directly shaping the evolution of flagship AI models.

From Hype to Production: Voice AI in 2025

Voice AI has crossed into production. Deepgram’s 2025 State of Voice AI Report with Opus Research quantifies how 400 senior leaders - many at $100M+ enterprises - are budgeting, shipping, and measuring results.

Adoption is near-universal (97%), budgets are rising (84%), yet only 21% are very satisfied with legacy agents. And that gap is the opportunity: using human-like agents that handle real tasks, reduce wait times, and lift CSAT.

Get benchmarks to compare your roadmap, the first use cases breaking through (customer service, order capture, task automation), and the capabilities that separate leaders from laggards - latency, accuracy, tooling, and integration. Use the findings to prioritize quick wins now and build a scalable plan for 2026.

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AI Tools of the Day

1. 💻 v0 - Generate production-ready UI components from simple text prompts and iterate on them with a chat-based interface.

2. 🎥 Tavus - Automatically generate thousands of personalized videos of yourself to scale your sales and marketing outreach with a human touch.

3. 🛡️ Lakera AI - Protect your LLM applications from prompt injections, data leaks, and other emerging security threats with an easy-to-integrate API.

4. 🧪 CodiumAI - Instantly generate meaningful software tests and analyze your code's behavior to ship with confidence and speed.

5. 📖 AI Manga Translator - Instantly translate and redraw manga into any language, preserving the original art so you can enjoy comics from around the world.

6. 📞 Synthflow AI - Build and deploy AI voice agents that can autonomously handle phone calls to schedule appointments and qualify leads for your business.

7. 🎮 Bitpart AI - Populate your games with intelligent, proactive multi-agent NPCs that can interact with each other and the world dynamically.

8. 🚀 Cerebrium - Deploy and scale complex AI models on serverless GPUs with sub-second cold starts, paying only for what you compute.

Explore the Best AI Tools Directory to find tools that will 10x your output 📈

Anthropic's $50B AI Bet

The Recap: AI research lab Anthropic announced plans to pour $50 billion into AI infrastructure over the next few years, starting with massive data centers in New York and Texas. This major investment aims to secure the computing power needed for future AI development.

Unpacked:

• The massive investment will directly power Anthropic’s AI tools, including its Claude chatbot, and fuel its research and development efforts.

• Construction is moving quickly, with the first energy-intensive data centers in New York and Texas expected to go live next year.

• This move reflects an industry-wide scramble for computing power, with JPMorgan estimating a $5 trillion spend on global data centers and AI infrastructure between 2026 and 2030.

Bottom line: Anthropic's massive spending signals that access to raw computing power is becoming the main battlefield for AI supremacy. This infrastructure-first approach highlights a future where the biggest AI players are also the biggest builders.

AI Training

How to Automate Your Web Scraping in LLM-Ready Format (n8n + Firecrawl + rss.app)

The Recap: We just posted our very first (of many!) AI automation training videos on YouTube. In this video, we walk through how to use n8n, firecrawl, and rss.app to scrape virtually any piece of web content and transform it into LLM-ready output.

P.S. We also launched a free AI Automation Community for those looking to build and sell AI Automations — Come join us!

The AI Hit-Maker

The Recap: A new survey reveals that 97% of people can no longer distinguish between AI-generated and human-made music. This is enabling a new wave of creators to produce viral hits and even quit their day jobs using tools like Suno and Udio.

Unpacked:

• The scale of AI music consumption is massive, with streaming platform Deezer reporting that nearly one in three tracks streamed daily are now fully AI-generated.

• Creators like Nick Arter have successfully turned AI music into a full-time career, using prompts to generate hundreds of songs that have attracted millions of plays and attention from major artists.

• This surge has also created a strong demand for labeling and raised questions about whether AI music can truly feel human, prompting platforms like Spotify to remove millions of spam tracks.

Bottom line: The line between human and AI creativity in music has effectively vanished for the average listener. This shift empowers individual creators but places new pressure on streaming platforms to manage authenticity and discovery.

Where AI Experts Share Their Best Work

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Dive into our course materials, collaborate with experienced builders, and turn automation challenges into shared wins. Join here (completely free).

Beyond AI: Quantum's Rise

The Recap: While AI dominates the headlines, tech giants like IBM, Google, and Microsoft are in a race to build quantum computers. This new class of machine promises to solve certain problems thousands of years faster than today's most powerful supercomputers.

Unpacked:

• Unlike classical computers using bits (0s or 1s), quantum machines use qubits, which can exist as 0, 1, or both simultaneously.

• The technology is already being explored to accelerate drug discovery by comparing molecules far more complex than current computers can handle.

• The race to commercialize is accelerating, with a projected market value of $1.3 trillion across key industries by 2035, according to a recent analysis.

Bottom line: Quantum computers won't replace your daily devices; they will serve as powerful, specialized tools for industry's biggest challenges. As the hardware matures, it will create breakthroughs in fields currently limited by sheer computational power.

The Shortlist

Foxconn reported a 17% jump in third-quarter profit, crediting the surge to high demand for its AI server racks.

OpenAI revealed it is fighting a legal demand from The New York Times to turn over 20 million private ChatGPT conversations for the newspaper’s lawsuit against the company.

An analysis suggests OpenAI may have spent more than $12B on inference costs in the last seven quarters, far exceeding its implied revenue and raising questions about the sustainability of its business model.

Churches are using AI-powered chatbots to engage with congregations, answer spiritual questions, and even help write sermons amid declining in-person attendance.

Signing off,

David, Lucas, Mitchell — The Recap editorial team