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- š§ Is Meta Breaking Up With Open-Source AI?
š§ Is Meta Breaking Up With Open-Source AI?
Zuckās superintelligence dream may leave transparency in the dustāhereās why that matters for you.

š Story Highlights
š A new elite AI team is pushing for closed models instead.
𧬠Metaās open-source DNA is being rewrittenāwith big consequences.
š¤ The goal? Build superintelligence that surpasses human cognition.
š„ Internal tension is growing as Meta reshuffles its AI org.
/ā” Metaās flagship open-source AI model, Behemoth, may never launch.
š§¾ Quick Context: Who, What, When, Where, Why

Who: Meta Platforms, CEO Mark Zuckerberg, Chief AI Officer Alexandr Wang
What: Possible pivot from open-source AI models to closed ones
When: Internal discussions held in recent weeks
Where: Meta Superintelligence Labs HQ, operating separate from Metaās core AI team
Why: Underperformance of the open-source Behemoth model + rising competitive pressure in AI
šŖ It Was All OpenāUntil It Wasnāt
Meta was once the Robin Hood of AIāgiving away cutting-edge models while rivals kept theirs locked behind velvet ropes.
Developers loved it. Competitors used it.
And it gave Meta a seat at the cool kids' table in the AI ethics conversation.
But now? Things are shifting.
š§Ŗ Enter: Metaās āSuperintelligence Labsā
Earlier this year, Meta went full Tony Stark and launched a secretive internal skunkworks project called Meta Superintelligence Labs.
At the helm: Alexandr Wangāa 28-year-old tech prodigy and founder of Scale AI, recruited after a casual $14.3 billion deal. Now, heās working elbow-to-elbow with Zuck.
Their mission, in Wangās own words:
āTo build superintelligenceāAI that surpasses human cognition.ā
(Chills, right?)
But there's a catch: They might not be sharing anything they build.
š Behemoth: Big Hype, Low Output
Metaās internal open-source model, Behemoth, was supposed to be the next frontier.
But according to insiders?
It underwhelmed. Quietly shelved. Never released. š
Instead of doubling down on fixing it, execs are reportedly considering a pivot to closed modelsāwhich is a big deal for a company that built its AI rep on openness.
š From Open to Opaque: A Philosophical Flip
For years, Metaās top AI voicesālike legend Yann LeCunāargued that transparency and open access were essential for responsible AI.
But Zuckerbergās tune has changed. In a podcast interview, he noted:
āWeāre obviously very pro open source, but I havenāt committed to releasing every single thing that we do.ā
Translation: āWe love openness... but we also love winning.ā š
šØ Internal Shake-Up: Not Everyoneās Invited

Metaās new AI structure has created a clear division:
ā Elite team building superintelligence, operating from a siloed HQ
š« Legacy AI staff feeling excluded, underutilized, andāfranklyāon edge
š¼ With the next stock vesting period in August, whispers of a brain drain are growing louder.
Old AI leadership has already been sidelined. The message is clear:
This is not the same Meta AI team you remember.
š§ So, Is Meta Really Ditching Open Source?
Right now, Metaās playing it coy.
They havenāt officially closed the door on open-source. But between Behemothās struggles and the rise of ultra-competitive, closed systems from OpenAI and Google...
Zuck may be less interested in community points and more interested in global AI dominance.
This isnāt just a tech pivot. Itās a rebranding of Metaās identity in AI.
š§ Why It Matters to You (and What Actions You Can Take)
Metaās internal strategy shift has huge implications for AI developers, startups, researchers, and policymakers. Hereās what you can do in light of this shift:
š ļø Playbook for Navigating Metaās AI Pivot

š Watch Metaās next model closely. If itās closed-source, thatās your signal: Metaās fully pivoted.
š¬ Engage in open-source communities. Contribute to and support alternatives like Hugging Face, EleutherAI, or Mistral.
š§ Rethink AI dependencies. If your stack heavily relies on Metaās open-source tools, start diversifying now.
š Follow the talent. The next wave of AI innovation may come from ex-Meta engineers starting fresh.
š§āāļø Push for policy clarity. If you're in academia, law, or governanceājoin the debate about transparency vs. performance in AI.
š Explore new models. If Meta closes its models, demand will spike for independent or collaborative alternatives. Opportunity awaits.
š” "The most dangerous phrase in technology is: āWeāve always done it this way.ā"
š How TAWAI Sees the Way Ahead ā And Why Weāre Launching the Young Global Leaders Lab
At Think Ahead With AI (TAWAI), we believe the future belongs to those who are not only tech-literateābut ethically courageous, globally minded, and relentlessly forward-thinking.
To shape this future, we're launching the Young Global Leaders Lab:
A bold new program designed to equip the next generation with the mindset, tools, and collaborative networks to lead in an AI-driven world.
Weāre not just reacting to change. Weāre building the architects of it.
This is the start of a global journeyāuniting youth innovators, policy shapers, and technologists under one mission:
To think ahead. Lead responsibly. And shape the futureātogether.
š§ 5 AI Tools You Should Know (Especially as Meta Shifts Gears)
LLaMA (Large Language Model Meta AI)
š¢ Creator: Meta
š Type: Open-source (for research use)
š§ A family of language models that helped Meta gain traction in the AI space. Itās been widely used as a base for many third-party modelsāthough its future openness is now uncertain.
š§Ŗ Platform: Hugging Face
š Type: Open-source ecosystem
š¤ Offers thousands of models (including Metaās LLaMA) for NLP, vision, and more. The go-to place for collaborative AI developmentāespecially if Meta shifts away from open releases.
š«š· Origin: France
š Type: Open-weight, high-performance LLMs
𦾠A rising competitor in the open-source scene. Their models are high quality, permissively licensed, and ideal for those seeking alternatives to Meta or OpenAI.
š Community: Decentralized, research-focused
š Type: Open-source models like GPT-NeoX and Pythia
š§ Built to keep frontier AI open and transparent. A great option if you value research-grade models not locked behind corporate firewalls.
š§āš¬ Founder: Alexandr Wang (now Metaās Chief AI Officer)
š ļø Type: Closed platform focused on AI data labeling and infrastructure
š§© Essential for companies building proprietary AIāthis is where Meta's new leadership originates, signaling a push toward more control and less openness.
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