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š OpenAIās o3-mini levels up
š Ex-OpenAI co-founder quits rival for another?
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š Fridayās AI Report:
š OpenAIās o3-mini levels up
š¼ In partnership with Innovating with AI
š Ex-OpenAI co-founder quits rival for another?
ā¤ļø Tinder turns to AIā¦ in desperation?
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šļø Practical AI Applications
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Read Time: 5 minutes
šļø Catch our exclusive interview with AI expert Isar Meitisāthe go-to business transformation adviser for CEOsāas he shares his thoughts on the future of AI implementation, job displacement, ethics, and moreā¦
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LATEST IN AI
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š OpenAIās o3-mini levels up

šØ Our Report ā After releasing its first, smaller reasoning modelāo3-miniālast week, OpenAI has announced it has just changed how the model responds to queries, meaning it will now show users its āthoughtā process, before giving its answer.
š Key Points:
All o3-mini users will now be able to see a clear āchain of thoughtā that shows how the model has arrived at its answer, to āmake it easier to understand how the model thinks," giving users āconfidence in its responses."
In a preview, when a user asked, āWhy isnāt it Friday?ā it showed its logical train of thought, but also considered the sentiment of the question, concluding it was humorous, so responded with a mix of logic and fun.
Plus, o3-mini will now also search and fetch data from the web, in real-time, providing links to sources, which will enhance the reliability of its answers, and give users greater transparency.
š Relevance ā Thereās no doubt that this update will provide users with more transparency, reliability, and a smoother, interactive experience, but it does come (suspiciously?) soon after Chinese rival, DeepSeek, released its own reasoning model, R1, which shows a similar āchain of thoughtā experience, except R1 displays its full thought processāproviding even greater transparencyāwhereas o3-mini just shows a brief, top-line summary of its thoughts, as OpenAI wants to āfind a balance while protecting its competitive edge.ā
Why is OpenAI providing greater transparency with its o3-mini model? |
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TOGETHER WITH INNOVATING WITH AI
The AI consulting market is about to grow by a factor of 8X ā from $6.9B to $54.7B in 2032.
But how does an AI enthusiast become an AI consultant?
How well you answer that question makes the difference between just āhaving AI ideasā and being handsomely compensated for your contribution to an organizationās AI transformation.
Thankfully, you donāt have to go it alone ā our friends at Innovating with AI have welcomed 300 new students into The AI Consultancy Project, their new program that trains you to build a business as an AI consultant.
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Students getting their first AI client in as little as 3 days
And, as a reader of The AI Report, you get early access to the next enrollment cycle.
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š Ex-OpenAI co-founder quits rival for another?

šØ Our Report ā One of OpenAIās 11 co-founders and respected researcher, John Schulman, who quit OpenAI to join its rival, Anthropic, in August last yearāhas now left Anthropic (after just five months) to reportedly join OpenAIās former CTO, Mira Murati, at her stealth startup.
š Key Points:
Although itās unclear why Schulman left Anthropic so quickly, and what his role will be at Muratiās company, he did confirm that he wanted to go with something he āfound extremely compelling.ā
Co-founder Schulmanāwho originally led the team that developed ChatGPTāleft OpenAI to focus on more āhands-onā technical work and joined a wave of senior figures who all quit around the same time (including Murati).
Murati left OpenAI in September to start her own company alongside Ilya Sutskever, who founded āSafe Superintelligenceā, Andrej Karpathy, who launched āEureka Labsā, and Vicki Cheung, who co-founded āGantry.ā
š Relevance ā Although little is known about Muratiās start-up, reports say it could be an intelligent āthinking machinesā lab, which has secured $100M in funding and has already made headlines for poaching other top-tier talent from OpenAI, aside from Schulmanāincluding Jonathan Lachman, ex-head of special projects, Christian Gibson, part of the supercomputing team, and Mario Saltarelli, a longtime IT managerāwhich perhaps highlights Muratiās growing influence in the AI space.
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ā¤ļø Tinder turns to AIā¦ in desperation?
Dating app Tinder is launching an AI feature to help users connect with ābetter quality matchesā to stay competitive, attract more singletons, and reverse its declining user figures (active users are down 10%, YoY).
The new feature is an AI-powered match recommendation tool, which will give users more āpersonalized and engagingā connections and will join the existing AI photo feature, which helps users pick their profile pictures.
This comes as online dating apps, generally, are facing tough times as singles complain about safety and privacy concerns, bad behavior from other app users, and giving them nothing more than an illusion of choice.
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PRACTICAL AI
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Prompt InspirationAfter typing this prompt, you will know what the potential business impact and ROI would be if you implemented personalization and recommendation systems. P.S. Use the Prompt Engineer GPT by The AI Report to 10x your prompts. |
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RECOMMENDED RESOURCES
PODCASTS
In this episode, Liam chats to Isar MeitisāCEO of Multiplai (which provides businesses with AI-first strategies that streamline operations) and go-to business transformation adviser for CEOsāabout the future of AI implementation, job displacement, ethics, and more.
QUICK HITS
FRIDAYāS Q&A
Each week, our team of AI experts chooses one subscriber question to answer, to help us all learn how to navigate the complex world of AI.
THIS WEEKS QUESTION:
āAre we on the verge of creating a CGI (Computer Generated Imagery) system thatās "self-aware?"
THIS WEEKS ANSWER:
In short, no, we donāt think so. While CGI has rapidly advanced over the last year and can leverage AI tools toāfor exampleāautomate processes and enhance imagery realism, these systems are not primarily designed for cognition or consciousness.
This is because they operate on statistical pattern recognition as opposed to self-awarenessāwhich involves recognizing subjective experiences, emotions, and a sense of self. None of these āfeelingsā can be found in a statistical pattern, hiding within a set of data.
Behaviorists and cognitive scientists have struggled for yearsāand are still strugglingāto explain human self-awareness and consciousness, so we canāt imagine how difficult it must be to engineer it in AI systems.
What we are likely to see in the near future, though, is more interactive, hyper-realistic characters that can emulate more human-like emotions and responses, creating more immersive experiences. But this isnāt self-awareness, this is just sophisticated illusions of intelligence.
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