Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Using the provided reference image, keep the exact compositional layout with subject dominating left third and misty right two-thirds, maintain the deep blue-purple cinematic lighting and atmospheric smoke haze, but replace the central figure with a close-crop of a shattered makeup mirror showing multiple fractured reflections of a single weary eye with glittery gold eyeshadow and smudged liner, iridescent particles catching light across the mirror cracks, same emotionally heavy post-party stillness, replace title with ‘meta’ in thin lowercase white Helvetica Neue Light on the right side.
People are asking what’s the difference between Falcon Perception and SAM3, so here’s my opinion: SAM3:
https://t.co/KVRbuHm8H1 Falcon Perception:
https://t.co/QDgMlOBvDH First, sam3 does “”promptable concept segmentation””: simple noun phrases (like “”yellow bus””, “”red apple””) +
https://x.com/dahou_yasser/status/2041474094252933195
a good writeup about Muse Spark on a few complex queries (multimodal, stock analysis, coding):
https://x.com/alexandr_wang/status/2041991027981218022
Breaking: @AIatMeta just released Muse Spark — now live across @ScaleAILabs leaderboards. Here’s how it stacks up: Tied for 🥇on SWE-Bench Pro Tied for 🥇on HLE Tied for 🥇on MCP Atlas Tied for 🥇on PR Bench – Legal Tied for 🥈on SWE Atlas Test Writing 🥈on PR Bench – Finance
https://x.com/scale_AI/status/2041934840879358223
Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is available today at
https://x.com/AIatMeta/status/2041910285653737975
NEW: Meta announces Muse Spark. All you need to know: * It’s their new multi-modal reasoning model. * Strong at multi-agent orchestration and multi-modal reasoning. * Contemplating mode orchestrates multiple agents that reason in parallel. Helps to compete with models such
https://x.com/omarsar0/status/2041919769536770247
To spend more test-time reasoning without drastically increasing latency, we can scale the number of parallel agents that collaborate to solve hard problems. While standard test-time scaling has a single agent think for longer, scaling Muse Spark with multi-agent thinking enables
https://x.com/AIatMeta/status/2041926297216282639
Meta is back! Muse Spark scores 52 on the Artificial Analysis Intelligence Index, behind only Gemini 3.1 Pro, GPT-5.4, and Claude Opus 4.6. Muse Spark is the first new release since Llama 4 in April 2025 and also Meta’s first release that is not open weights Muse Spark is a new
https://x.com/ArtificialAnlys/status/2041913043379220801
try muse spark via the Meta AI app or
https://t.co/DipeeIuXm2! check out this simulation i made:
https://x.com/alexandr_wang/status/2041953243895623913
1/ today we’re releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
https://x.com/alexandr_wang/status/2041909376508985381
The new model from Meta, Muse Spark, is pretty good at converting images to code!
https://x.com/skirano/status/2041920891072700631
Excited to share what we’ve been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It’s a natively multimodal reasoning model and the first step on our path to personal superintelligence. We’ve overhauled our entire stack to support
https://x.com/shengjia_zhao/status/2041909050728931581
Introducing Muse Spark: Scaling Towards Personal Superintelligence
https://ai.meta.com/blog/introducing-muse-spark-msl/
Meta is back in the game! It’s been fun to test out Muse Spark. Beyond benchmarks, it’s actually a good day to day model… surprisingly good at technical problems and making arcade games. Never bet against @alexandr_wang @natfriedman @danielgross
https://x.com/matthuang/status/2041911766586945770
Meta just released a frontier model, Muse Spark- it takes the #3 spot on our Vals Index.
https://x.com/ValsAI/status/2041922037745381389
try muse spark yourself! download the Meta AI app or go to
https://x.com/alexandr_wang/status/2042024651610861657
We had pre-release access to Meta’s new Muse Spark model and evaluated it on FrontierMath. It scored 39% on Tiers 1-3 and 15% on Tier 4. This is competitive with several recent frontier models, though behind GPT-5.4.
https://x.com/EpochAIResearch/status/2041947954202988757
To build personal superintelligence, our model’s capabilities should scale predictably and efficiently. Below, we share how we study and track Muse Spark’s scaling properties along three axes: pretraining, reinforcement learning, and test-time reasoning. 🧵👇 Let’s start with
https://x.com/AIatMeta/status/2041926291142930899
Muse Spark is notably token efficient for its intelligence level. It used 58M output tokens to run the Intelligence Index, comparable to Gemini 3.1 Pro Preview (57M) and notably lower than Claude Opus 4.6 (Adaptive Reasoning, max effort, 157M), GPT-5.4 (xhigh, 120M) and GLM-5
https://x.com/ArtificialAnlys/status/2041913045749002694
@shengjia_zhao @alexandr_wang 4/ The team also built multi-agent thinking to achieve better performance for the same latency. In the figure below, the blue line shows standard test time scaling for a single agent: thinking harder leads to better performance. The lines above show that multiple agents achieve
https://x.com/ananyaku/status/2041914478930096478
Fun nine months! My first week i remember we had a long dinner in the cafeteria daydreaming about the cool research directions to pursue, then going to back to our desks to write a basic script to inference llama. Now we have a pretty complete stack and our first model is out 🥑
https://x.com/_jasonwei/status/2041930482179567966
Congrats to @tbpn! Hiring DevRels was trendy last year. Is acquiring media for communication purposes a new trend?
https://x.com/TheTuringPost/status/2039783016126448099
Congratulations to Alex and the whole team at MSL. As a sucker for all things speedy (https://t.co/Od1fQoL3FQ), I thought this was an impressive chart:
https://x.com/patrickc/status/2041933033335623810
You can make very impressive one shot arcade games with this!
https://x.com/garrytan/status/2041983465101672790
[2603.28052] Meta-Harness: End-to-End Optimization of Model Harnesses
https://arxiv.org/abs/2603.28052
Must-read research of the week ▪️ Meta-Harness: End-to-End Optimization of Model Harnesses ▪️ A Survey of On-Policy Distillation for Large Language Models ▪️ The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook ▪️ Marco DeepResearch ▪️ FIPO: Eliciting Deep
https://x.com/TheTuringPost/status/2042026647063556414
🚗💨
https://x.com/alexandr_wang/status/2041934199259852817
Meta Pauses Work With Mercor After Data Breach Puts AI Industry Secrets at Risk | WIRED
https://www.wired.com/story/meta-pauses-work-with-mercor-after-data-breach-puts-ai-industry-secrets-at-risk/
Seems like a good model from Meta that is still trailing the current series of releases. The most important thing to note is that it is not open weights. That was the main reason that Meta’s models were so important. Without that, it is a lot harder to predict the value of Spark
https://x.com/emollick/status/2041924282964394085
try for yourself!
https://t.co/DipeeIuXm2 or download Meta AI app
https://x.com/alexandr_wang/status/2041985846950424760
Our first model from MSL, Muse Spark, is now available on
https://t.co/qBMQ6BPVgP! This is an efficient all-rounder model. It supports fast responses, deeper thinking, visual chain of thought, a higher inference “Contemplating” mode. Plus, it’s natively multimodal. 1/
https://x.com/jack_w_rae/status/2041925332631183421
1/ It’s been so fun working with @shengjia_zhao, @alexandr_wang and the team to build muse spark from scratch. It is early and has rough edges, but excited to continue our research velocity. I especially love that we’re doubling down on the fundamental science. We’re focused on
https://x.com/ananyaku/status/2041913147842556390
1/ Muse Spark is live, and alongside it, our new Advanced AI Scaling Framework which details how we evaluate and prepare for advanced AI. We tested across bio, chem, cyber, and loss of control risks before and after mitigations. Muse Spark achieves a 98% bioweapons refusal rate
https://x.com/summeryue0/status/2041956901769113948
Check out Muse Spark, our first milestone in the quest for personal superintelligence! Scaling this with the team has been a total blast. Give it a spin and let us know what you think! 🥑
https://x.com/ren_hongyu/status/2041922484040298796
e
try muse spark on
https://x.com/alexandr_wang/status/2041956770864885870
Excited to share Muse Spark! It’s a strong natively multimodal model with many surprising properties that emerged. Here, the model is able to use Python tools to make a playable Sudoku game on the web from an image input of the board. ✨
https://x.com/mattdeitke/status/2041915503795671056
Report: Some of Meta’s new AI models will eventually be open-source – Sherwood News
https://sherwood.news/tech/report-some-of-metas-new-ai-models-will-eventually-be-open-source/
Scoop: Meta to open source versions of its next AI models
https://www.axios.com/2026/04/06/meta-open-source-ai-models
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