- AI: Beyond the Buzz
- Posts
- ๐ AI overviews destroy publishers
๐ AI overviews destroy publishers
+ o3 Pro doesn't do small talk

Hey folks,
If you've been testing the new OpenAI o3-Pro lately, you might've noticed something odd: even a simple "Hi" prompt can take anywhere from 4 to 14 minutes to get a response. Users across forums have reported similar issues, with some experiencing delays of over 2 minutes for basic queries. While o3-Pro is designed for deep reasoning tasks, this level of latency is unexpected and has raised concerns among developers and users alike..
Letโs dive in..
Read Time: 5 minutes

๐ OpenAI's o3-pro: The AI That Thinks Deeply

๐ The Buzz: OpenAI just dropped o3-pro, their latest AI model, and it's all about "reasoning." But what does that actually mean? Let's break it down
Speed vs. Smarts: With great power comes... slower responses. o3-pro takes its time to think things through, so it's better suited for complex problems where accuracy matters more than speed
Price Drop: Good news for developers, OpenAI slashed o3-pro's API prices by 87% compared to o1-pro. Now it's $20 per million input tokens and $80 per million output tokens. Still not cheap, but more accessible.
Reasoning Reality: Despite the "reasoning" label, o3-pro doesn't truly understand like humans do. It's still pattern-matching at its core, so don't expect it to pass a Turing Test just yet.
๐ก Takeaway: o3-pro is the go-to when accuracy matters and the clock doesnโt. Itโs brilliant at deep dives, painfully slow at pleasantries, and still pricier than your coffee. Use it when you need precise answers, not quick banter.

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๐ฐ Googleโs AI Overviews: A Challenge for Publishers

๐ The Buzz: Googleโs AI Overviews feature is reshaping the search landscape by providing users with concise, AI-generated summaries directly in search results. While this enhances user experience by delivering quick answers, it poses significant challenges for publishers who rely on search traffic.
Major news outlets, including The New York Times and The Washington Post, have reported declines in organic search traffic since the introduction of AI Overviews. For instance, The New York Times saw its share of traffic from organic search drop from 44% in 2022 to 36.5% in April 2025.
In response, some publishers are exploring new revenue streams, such as licensing content to AI companies. The New York Times recently inked a deal with Amazon to license its editorial content for training AI platforms.
๐ Key Highlights
AI Overviews Impact: Provides quick summaries, reducing the need for users to click through to original articles.
Publisher Traffic Decline: Notable drops in organic search traffic for major news outlets.
New Revenue Models: Publishers are licensing content to AI companies to offset traffic losses.
๐ฏ Use Cases
Content Licensing: News organizations can explore partnerships with AI companies for content licensing.
Direct Engagement: Building direct relationships with readers through newsletters and subscriptions to reduce reliance on search traffic.
Diversified Revenue: Exploring alternative revenue streams, such as events and specialized content offerings.
๐ก Final Thoughts: The advent of AI Overviews signifies a shift in how users consume information online. While it offers convenience, it challenges traditional traffic models for publishers. Adapting to this new landscape will require innovative strategies and diversified revenue approaches.


๐ AI buzz bits
๐ฅVeo 3 keeps growing like crazy. To keep up, weโre introducing Veo 3 Fast in @GeminiApp and Flow. Itโs >2x faster, has the same 720p resolution, and a bunch of serving optimizations. The big headline: we can serve more of it, even for the Yetis!
How to get started:
1) Get a
โ Josh Woodward (@joshwoodward)
6:19 PM โข Jun 9, 2025
๐ฅ Google just cranked up the creativity with its Gemini app, offering AI Pro subscribers three times more video generations with the new super-fast Veo 3 model, perfect for filmmakers who want to keep audiences engaged.
๐ค Mistral AI just launched Magistral, its first reasoning model that excels in multilingual problem-solving, offering transparent, step-by-step logic to tackle complex challenges, ideal for industries like legal and finance while being 10x faster than the competition, supposedly.
๐ Sam Altman dives into the impending digital superintelligence era, hinting that while extraordinary advancements are on the horizon, the human essence, family, creativity, and joy will remain steadfast amid all the tech wizardry.

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๐ค TGIF


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