Meta superintelligence labs. Coffee enthusiast, lousy surfer, noise rock enjoyer. Cambridge alum. opinions my own.
Joined June 2013
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Damon Civin retweeted
Hot off the presses: all @Muse users can ask their Muse to make an audio podcast episode on any topic.
Damon Civin retweeted
Today we launched muse.ai, a personal AI agent, and published a deep dive on how we built safety into its system.
An agent that gets to know you over time necessarily holds a lot of context about you. That's the source of its usefulness and the reason we built Muse to be secure, safe, and private.
Read the full deep dive here: security.muse.ai/
Stoked to introduce Muse. It’s given me time, energy and focus back to the people I love and things I want to do. I hope you like it!
1/ today we're rolling out Muse, our new personal ai assistant. Muse is always-on, wicked fast, can use a browser, connect to your apps, and is designed to be secure.
try it now: muse.ai.
Damon Civin retweeted
We're launching @muse, our new personal AI agent! Always on, fast, and built to be private, safe, and secure. Our biggest focus was the security architecture underneath. Each Muse runs in its own secure VM, a separate Sentinel checks every action, it never sees your passwords, and it asks before anything sensitive. More here: security.muse.ai
Damon Civin retweeted
Muse Spark 1.3 is rolling out today with frontier performance almost too cheap to meter. This is the biggest jump we've made so far on coding and agentic work. Try it in Muse Code and our API.
Next up 🍉 and Muse Spark open weights releases coming soon.
Damon Civin retweeted
(2) Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.
Damon Civin retweeted
Llama 4 has arrived! Multimodal intelligence that is best in class for each size. Hope the world enjoys them as much as the entire team did in building them.
Check out the blog for more details: ai.meta.com/blog/llama-4-mul…
Damon Civin retweeted
As of today, Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena.
It's wild to think Llama was a research project a couple of years ago & amazing to see how much progress we've made in the last two years 🚀 And this is just the first taste of the Llama 4 collection – get ready for a herd like you’ve never seen before.
Very proud of the GenAI team.
Damon Civin retweeted
BREAKING: Meta's Llama 4 Maverick just hit #2 overall - becoming the 4th org to break 1400+ on Arena!🔥
Highlights:
- #1 open model, surpassing DeepSeek
- Tied #1 in Hard Prompts, Coding, Math, Creative Writing
- Huge leap over Llama 3 405B: 1268 → 1417
- #5 under style control
Huge congrats to @AIatMeta — and another big win for open-source! 👏 More analysis below⬇️
Today is the start of a new era of natively multimodal AI innovation.
Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.
Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.
Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.
These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.
Read more about the first Llama 4 models, including training and benchmarks ➡️ go.fb.me/gmjohs
Download Llama 4 ➡️ go.fb.me/bwwhe9
I just learned about the existence of the phylum “Vermes” for worms and I can’t I hear it in my head as mad Austrian scientist yelling “Wormies!!!”
Damon Civin retweeted
Another fail from @FlySWISS. Yesterday we were told our dog is too small for cargo and there’s no more space for days for us to reschedule. Last night they sent a DM that it was sorted and our dog was confirmed. This morning I get another message that there’s now no more space.
New pet peeve: @GoogleStadia not remembering my key bindings for @baldursgate3 – at San Jose, CA
Damon Civin retweeted
Machine learning enthusiasts across the African continent! Consider applying to host a NeurIPS meetup, similar to indaba-x. Curious? learn more here: bit.ly/2olaTCH @DataScienceNIG @DeepIndaba @AISaturdayLagos @AISaturdaysKG @PythonHo @PyGhana @PyLadiesGhana
