FeedMeld

Meta just dropped the biggest AI announcement of the year, and the timing could not be more ironic. One week after being compared to Big Tobacco in courtrooms across America, the company unveiled Muse Spark — the first model from its newly formed Meta Superintelligence Labs, led by Alexandr Wang, the former CEO of Scale AI.

The technical claims are staggering. Muse Spark is a natively multimodal reasoning model, meaning it doesn't bolt vision onto a language model — it thinks in images, text, and code simultaneously from the ground up. Its headline feature is 'contemplating mode,' a reasoning approach that scored 58% on Humanity's Last Exam, a benchmark specifically designed to be unsolvable by current AI systems. For context, the previous best score was around 35%.

The efficiency numbers are equally impressive. Meta claims Muse Spark uses 10x less compute than Llama 4 Maverick while achieving comparable or better performance on standard benchmarks. The model also features tool-use capabilities, visual chain of thought (it can show you how it's reasoning through images), and multi-agent orchestration that allows multiple Muse Spark instances to collaborate on complex tasks.

The internet's reaction is split along predictable lines. AI researchers are genuinely impressed by the technical achievements, particularly the compute efficiency. Critics are asking why Meta is investing in superintelligence while its existing platforms are being found liable for harming children. And everyone is side-eyeing the 'Superintelligence Labs' name, which sounds like it was chosen by someone who watched too many sci-fi movies.

“Meta launches Muse Spark from its new Superintelligence Labs — a natively multimodal reasoning model with 'contemplating mode' scoring 58% on Humanity's Last Exam, using 10x less compute than Llama 4, led by Alexandr Wang.”

Why It Matters

Buried beneath the Muse Spark headlines is a number that tells the real story: $21 billion. That's Meta's additional commitment to CoreWeave, the cloud computing company that has become the GPU landlord of the AI industry. The deal, announced alongside Muse Spark, represents one of the largest single infrastructure investments in tech history.

The scale of the commitment reveals Meta's strategic calculus. The company isn't just building AI models — it's building the physical infrastructure to train and deploy them at a scale that competitors can't easily match. CoreWeave's GPU clusters, combined with Meta's own data centers, give the company access to more AI compute than any organization outside of a handful of hyperscalers.

The timing is notable. Meta is simultaneously facing billions in potential legal liability from social media addiction lawsuits and investing billions in AI infrastructure. The message to investors is clear: whatever happens with the social media litigation, Meta's future is AI. Muse Spark is the first product of that bet, and the $21 billion CoreWeave deal is the infrastructure that makes the next ten products possible.

AI Twitter is debating whether the compute efficiency of Muse Spark (10x less than Llama 4 Maverick) makes the massive infrastructure investment seem contradictory. The answer, according to Meta's technical blog, is that efficiency at the model level enables scale at the deployment level — you can serve more users with less hardware, which means the infrastructure investment goes further.

Why It Matters

With Coachella 48 hours away, TikTok's festival content has shifted from aspirational planning to beautiful, relatable panic. The outfit carousels have been replaced by 'I just realized I forgot sunscreen' videos. The schedule optimization spreadsheets have given way to 'I'm just going to wander and see what happens' acceptance posts. The vibes have shifted from Type A to Type B and it's honestly more entertaining.

The 'things nobody tells you about your first Coachella' genre is peaking. Veterans are sharing hard-won wisdom: bring a portable phone charger (your battery will die by 2pm), wear comfortable shoes (you'll walk 10+ miles per day), the food is expensive but the free water stations are a lifesaver, and the dust will get into everything you own and stay there forever.

Travel content is the other dominant category. Carpool coordination videos, campsite setup tutorials, and 'what I'm bringing in my festival bag' dumps are generating massive engagement. The communal aspect of festival preparation — strangers helping strangers figure out logistics — is one of the most wholesome corners of TikTok right now.

The Muse Spark launch is barely registering on festival TikTok, which is a perfect illustration of how different internet communities can exist in completely separate realities. While AI Twitter is processing a potential paradigm shift in artificial intelligence, festival TikTok is debating whether you need two or three portable fans for your campsite.

Why It Matters

If you want to understand the internet in April 2026, consider this: Meta is simultaneously being compared to Big Tobacco for harming children, facing hundreds of millions in legal liability, and launching what might be the most impressive AI model of the year. And people are discussing all of this on Threads, which is owned by Meta. The layers of irony are so thick you could build a house with them.

Threads users are not letting the contradiction slide. The most-shared post of the day reads: 'Meta just launched a model that can contemplate. Maybe it should contemplate why its platforms are…