Paco Guzmán

@anishathalye @CleanlabAI @joinHandshake Welcome!!

.@CleanlabAI has just been acquired by @joinHandshake! This “recruiting marketplace” has silently grown in just 1 year to be a dominant player in human data for AI. With Cleanlab's deep roots in research, Handshake is doubling down on building out its AI research org to strengthen the data foundations for frontier AI.

@jomulr @CleanlabAI @joinHandshake So glad to have you on the team

News: @CleanlabAI has been acquired by @joinHandshake!! We're excited to ensure frontier AI systems are trained on the highest-quality data, accelerating our mission toward AI that's actually reliable. Data is only good as the experts producing it and the best work at Handshake

meet @cgnorthcutt from the CleanLab team!

Super excited to welcome @CleanlabAI, led by @cgnorthcutt, @jomulr, and @anishathalye, to Handshake AI. Their work has shaped how we think about data quality, reliability, and evaluation. Together, we’re advancing research in RL environments, evals, and human data to build the foundations of trustworthy AI. techcrunch.com/2026/01/28/ai-…

@markuseful congrats on the launch of translageGemma!

This release represents a huge team effort. So proud of this team! It's a joy to work alongside such brilliant people, and I can't wait to see how the research community uses @TranslateGemma in the future! #AI #Gemma3

As AI accelerates, it’s worth taking time to ask what’s actually shaping these systems. The new Handshake Research Hub brings together research and essays that explore how human expertise drives progress in AI, examining how we measure human input, codify expertise, and align AI with human judgment. Explore the work joinhandshake.com/research/

I’m now part of the NAACL board

@davlanade @schmidtsciences congratulations!

Hallelujah! I’m excited to share that I’ve been selected as a 2025 AI2050 Early Career Fellow by @Schmidtsciences This year’s fellows represent 42 institutions across eight countries, working to ensure AI benefits humankind. Learn more at: lnkd.in/eZA5FHci

🚀 GPT‑5 is here: deep reasoning + lightning speed. The leap toward AGI just got real. Recap + takeaways in thread.

Who is coming to ACL? Let's meet!

Go @GarrettLord

I’ve recently joined Handshake. We’re hiring!

Introducing Handshake AI—the most ambitious chapter in our story. We leverage the scale of the largest early career network to source, train, and manage domain experts who test and challenge frontier models to failure for the top AI labs.

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⬇️

Introducing our first set of Llama 4 models! We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4 collection 🦙. Here are some highlights: 📌 The Llama series have been re-designed to use state of the art mixture-of-experts (MoE) architecture and natively trained with multimodality. We’re dropping Llama 4 Scout & Llama 4 Maverick, and previewing Llama 4 Behemoth. 📌 Llama 4 Scout is highest performing small model with 17B activated parameters with 16 experts. It’s crazy fast, natively multimodal, and very smart. It achieves an industry leading 10M+ token context window and can also run on a single GPU! 📌 Llama 4 Maverick is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding – at less than half the active parameters. It offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena. It can also run on a single host! 📌 Previewing Llama 4 Behemoth, our most powerful model yet and among the world’s smartest LLMs. Llama 4 Behemoth outperforms GPT4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on several STEM benchmarks. Llama 4 Behemoth is still training, and we’re excited to share more details about it even while it’s still in flight. A big thanks to all of our launch partners (full list in blog) for helping us bring Llama 4 to developers everywhere including @huggingface, @togethercompute, @SnowflakeDB, @ollama, @databricks and many others👏 This is just the start, we have more models coming and the team is really cooking – look out for Llama 4 Reasoning 😉 A few weeks ago, we celebrated Llama being downloaded over 1 billion times. Llama 4 demonstrates our long-term commitment to open source AI, the entire open source AI community, and our unwavering belief that open systems will produce the best small, mid-size and soon frontier models. Llama would be nothing without the global open source AI community & we are so ready to begin this next chapter with you. 🦙 Read more about the release here: llama.com, and try it in our products today.

🦙 Excited to release LLAMA-3.3! 405B performance at 70B. Check it out !!

@ArmenAgha Congratulations Armen! Looking forward to what you build

Say hello to our new company Perceptron AI. Foundation models transformed the digital realm, now it’s time for the physical world. We’re building the first foundational models designed for real-time, multi-modal intelligence across the real world. perceptron.inc

Quantized Llama 3.2 1B/3B models are here! Blazing fast CPU inference at ~50 tokens/sec for 1B & ~20 tokens/sec for 3B while being competitive on quality with the respective bf16 versions. Very proud of the team. Can't wait to see what developers build with the foundation models.

On device and small models are a really important part of the Llama herd so we are introducing quantized versions with significantly increased speed. These models have a 2-3x increased speedup – that is fastI Add a link if you want to share what you are building with Llama! ai.meta.com/blog/meta-llam…

We've just released new quantized Llama 3.2 models. the 1B is 50 tokens/s on mobile cpu. The best thing? minimal quality degradation. Read all on @sacmehtauw's post