The ‘Meta-fication’ of OpenAI

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Good morning, AI enthusiasts. OpenAI’s transformation from research lab to consumer giant is coming with an unexpected side effect: a large influx of Meta DNA.

With a fifth of OpenAI’s workforce now ex-Zuck employees (including key leadership positions) and previously rebuffed promoting initiatives now within the works, the corporate’s meteoric growth may be coming with a heavy culture tax.

In today’s AI rundown:

  • OpenAI’s ‘Meta-fication’ sparks culture clash

  • Survey: Artificial Evaluation ‘State of Generative Media’

  • Construct a 30-day plan with Manus 1.5 to attain any goal

  • OpenAI’s AI models for music generation

  • 4 recent AI tools, community workflows, and more

LATEST DEVELOPMENTS

OPENAI

👀 OpenAI’s ‘Meta-fication’ sparks culture clash

Image source: Reve / The Rundown

The Rundown: A brand new report from The Information just revealed that one in five OpenAI employees now comes from Meta, bringing Facebook-style growth tactics which can be reshaping the AI startup’s culture and product strategy.

The small print:

  • Over 600 of OAI’s 3,000 staffers are former Meta, including applications CEO Fidji Simo, with an internal Slack channel existing specifically for the group.

  • Internal surveys asked whether OAI was becoming “too very like Meta,” with former CTO Mira Murati reportedly leaving over user growth disagreements.

  • Teams are exploring using ChatGPT’s memory for personalized ads, despite CEO Sam Altman previously calling the same idea “dystopian.”

  • The report also details internal criticism surrounding the Sora 2 rollout, with employees skeptical of the social app’s direction and the power to moderate it.

Why it matters: It’s hard to keep up the identity of a startup that goes from research lab to considered one of the world’s biggest consumer products in a number of years, however the influx of Meta DNA could also be a double-edged sword, with OpenAI expanding with growth-centric talent, but potentially losing the scrappy, smaller vibe that fostered its initial success.

TOGETHER WITH ATLASSIAN

The Rundown: AI can write code, draft emails, and analyze data — but when it isn’t transforming what you are promoting, you are not alone. Atlassian’s AI Collaboration Index shows that 96% of firms have not seen organization-wide improvements despite broader AI adoption.

The report reveals:

  • Staff feel 33% more productive, but work is fragmented across applications

  • Organizations are treating AI as a private tool, not a collaboration enabler

  • The 4% seeing results construct connected bases for AI-powered team collaboration

Get the total report to find what’s holding teams back with AI.

AI RESEARCH

📖 Survey: Artificial Evaluation ‘State of Generative Media

Image source: Artificial Evaluation

The Rundown: Benchmarking platform Artificial Evaluation just released its 2025 ‘State of Generative Media’ report, which polled 300 developers and creators to trace personal and enterprise AI adoption levels, model preferences, and more.

The small print:

  • Google’s Gemini captured 74% of AI image use, and Veo took 69% of video creators, beating out rivals OAI, Midjourney, and Chinese options like Kling.

  • Personal creators have integrated image tools into workflows at an 89% adoption rate, with video still at just 58% of users despite rapid growth.

  • Organizations report surprisingly quick returns, with 65% achieving ROI inside 12 months and 34% already seeing profits from their AI media initiatives.

  • Model quality was a very powerful criterion at 76% for private users, with enterprises prioritizing cost reduction (57%) when selecting an AI platform.

Why it matters: Google is dominating on each the AI image and video front, which can surprise given OpenAI’s typical adoption rates for traditional AI use. While the sample size wasn’t huge, the ROI numbers for AI image and video usage are far stronger than the doom and gloom from other surveys of AI’s success in enterprise.

AI TRAINING

🗓️ Construct a 30-day plan with Manus 1.5 to attain any goal

The Rundown: On this tutorial, you’ll learn use Manus 1.5 to reverse-engineer any goal right into a 30-day execution plan with each day inputs, then import it on to Google Calendar as a color-coded schedule.

Step-by-step:

  1. Go to manus.im, select “Agent” mode (not standard chat) to enable autonomous file outputs and planning capabilities

  2. Craft an in depth prompt: “Reverse-engineer [$X goal] right into a 30-day execution plan with time-blocked each day inputs. Color-code by priority: 🔴Outreach 🟠Content 🟡Achievement 🟢Community 🔵Planning. Output calendar-ready ICS file in EST timezone”

  3. Submit and let Manus generate your files: 30-day markdown plan, each day checklist, ICS calendar file, and summary with power hours and weekly anchors

  4. Download the ICS file, open Google Calendar, click “+” under “Other calendars”, select “Import”, select your ICS file, and destination calendar

  5. Review your imported calendar with color-coded, time-blocked each day inputs able to execute

Pro tip: If each day quotas feel off, tweak inputs within the prompt (e.g., raise follow-ups, reduce content time) and regenerate a brand new .ics. Inputs drive outcomes.

PRESENTED BY INVISIBLE

The Rundown: The difference between AI leaders and laggards is not the technology — it’s execution. Invisible’s latest guide shows how Forward Deployed Engineers embed inside operations to make AI actually work at scale.

Invisible’s recent guide reveals:

  • Why most AI initiatives fail and the way the highest 5% actually deliver ROI

  • The difference between FDEs, consultants, and integrators

  • Real deployment stories of speed, precision, and measurable outcomes

  • When to make use of forward deployment, the way it scales, and what it really cost

OPENAI

🎵 OpenAI’s AI models for music generation

Image source: Reve / The Rundown

The Rundown: OpenAI is reportedly developing AI models for music creation, enlisting students from the celebrated Juilliard School to annotate musical scores while positioning itself against startups like Suno and Udio.

The small print:

  • OAI is working with Juilliard students to create musical annotations, helping to construct training datasets for audio generation across instruments and styles.

  • The tech would enable text-to-song creation, with use cases like layering tracks onto existing vocals or creating soundtracks for video content.

  • OAI previously explored AI music with MuseNet and Jukebox in 2019-20 before abandoning the projects, with the brand new effort now marking their third attempt.

  • Internal discussions suggest promoting agencies could leverage the platform for campaign jingles, soundtrack composition, and style-matching capabilities.

Why it matters: One other branch of OAI’s the whole lot AI strategy has emerged, and this time, they’re coming for the music front. Audio generation was already the largest improvement of Sora 2, and a music model directly accessible to ChatGPT’s nearly 1B users can be a serious adoption moment for the AI audio sector as an entire.

QUICK HITS

🛠️ Trending AI Tools

  • 🧊 Seed 3D – Bytedance’s recent image to 3D model

  • 🌐 Atlas – OpenAI’s recent web browser built with ChatGPT at its core

  • 🏗️ Construct – Vibe coding directly in Google AI Studio with Gemini

  • 🧠 Claude – Latest memory features for Anthropic’s AI assistant

📰 The whole lot else in AI today

Google unveiled Google Earth AI, a platform that mixes satellite imagery with AI models to assist organizations tackle environmental challenges like floods and wildfires.

Anthropic and Pondering Machines published a study showing that AI models have distinct “personalities”, with Claude prioritizing ethics, Gemini emotional depth, and OpenAI models specializing in efficiency.

Mistral AI launched Studio, a platform for firms to maneuver from AI prototypes to production with built-in tools for performance tracking, testing, and security.

Oreo-maker Mondelez is reportedly using a brand new AI tool developed with Accenture to chop marketing content costs by 30-50%, with plans to create TV-ready ads next 12 months.

Anthropic announced a multibillion-dollar expansion with Google Cloud to access as much as 1M TPU chips for over 1 GW of compute power.

Pokee AI released PokeeResearch-7B, a brand new open-source deep research agent that tops benchmarks in comparison with other similarly sized rivals.

Meta added recent AI tools to Instagram Stories, allowing users to restyle, edit, and take away objects from photos and videos directly throughout the platform.

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Anonymous in Lincoln, NE:

“I exploit Perplexity’s Comet browser to robotically queue recent prompts for Sora generated using Grok. When the utmost variety of simultaneous videos is generated, it autonomously feeds a brand new prompt into Sora. It may successfully post videos generated with Sora on the platform, and I’m hoping to expand to YouTube, which I’ll use Comet for to optimize my channel search engine marketing, so I can monetize my videos.”

How do you employ AI? Tell us here.

🎓 Highlights: News, Guides & Events

  • Read our last AI newsletter: Microsoft’s ‘Mico’ personality upgrade

  • Read our last Tech newsletter: Apple may strike space take care of Musk

  • Read our last Robotics newsletter: Amazon’s massive robot hiring spree

  • Today’s AI tool guide: Construct a 30-day plan with Manus 1.5 to attain goals

  • Watch our last live workshop: Learn Context Engineering

That is it for today!

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See you soon,

Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown

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