Exclusive @thetimes interview with @reflection_ai co-founders @MishaLaskin @real_ioannis We cover: - How their new open model Beam could catch up with the capabilities of closed models in the next year - Why renting intelligence from a closed model provider is like renting from a landlord who could “hike up your rates or evict you” - AI is not a "winner-takes-all" market - Plans for a big expansion in London - Would they restrict governments from using their models for autonomous weapons and mass surveillance? - Is there an AI bubble? thetimes.com/business/techno…

Beam is now #1 Western open model on the (truly private) Vals AI eval 🚀 Beating Muse Spark Open, Mistral Large 4, and Inkling.

Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode. I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong. Also, they didn’t mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do. It ends up being a fun sci-fi movie though!

Having stared at a fair amount of graphs over the last two weeks, I had somehow missed this one. Thanks @EthanCastr for pointing it out. Beam is optimized for token efficiency and this graph shows this. Keep building!

We just served 1 trillion tokens of Beam in 24 hours. To celebrate, we've reset everyone's limits. Go build something big 👉 platform.reflection.ai

LIVE STREAM: New Open Weight Model nitter.siddz.com/i/broadcasts/1DxleVaPL…

The weights are now here under Apache 2.0 We’ve integrated Beam with 40+ partners and open sourced Mirror CLI, the harness Beam was trained against.

Babe, wake up. Beam weights just dropped. reflection.ai/blog/beam-is-a…

Beam weights are out today (Apache 2.0 license). We integrated Beam across 40+ different partners. And are also open sourcing Mirror CLI - the harness Beam was trained against. Happy building.

Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source harness we built and trained Beam on: Mirror CLI Weights and model card on Hugging Face: huggingface.co/reflection

Show me the weights! cnbc.com/video/2026/10/15/ou…

A fun first community event last night at NeueHouse to kick off the post-Beam announcement era. Met people ranging from compiler engineers to investment bankers (former SWE), and a mix of researchers, devrel-ers, and FDEs in between. Looking forward to continuing some of the conversations from last night on the Reflection Discord. And a big shout out to @zkwentz for crushing it on the panel. Dropped some real-talk tales of the scientific rigor it took for @reflection_ai to build a frontier model, and the realities of what massive scale RL post-training looks like.

Misha Laskin of Reflection AI joins Jason to discuss why companies want to own their AI rather than rent it, and why open-source AI might end up being the safest choice for future security. Misha argues that more eyes on these models make them safer, not more dangerous. Find out how close he believes the US open source models are to the top Chinese offerings, and why Misha believes the American industry should start moving even faster on this TWiST 1-on-1 exclusive. @jason @MishaLaskin @reflection_ai 0:00 Why companies are switching from renting AI to owning it 9:43 How Reflection sells the whole AI stack 10:57 PaperOS: Paper is the legal backbone for thousands of startup founders and fund managers - including Launch. Use getpaper.ai/twist to get your cap table free for a year - or two years if you're leaving Carta. 12:01 Who is moving AI onto their own servers 15:10 What it took to train Beam 20:59 Superhuman: Superhuman Go is an AI chat that's always there when you need it, already aware of what you're doing, and doesn't ask you to start from zero. Sign up to get the best in AI at superhuman.com/ 22:02 How reinforcement learning tasks get built 27:14 Hackers heat French supermarket fridges 29:40 The AI that broke out of its sandbox to cheat 31:38 Odoo: The all-in-one business platform. Your first app is free! Get started today at Odoo.com/twist 33:43 Why open source makes software safer 38:46 The encryption fight and Tim Cook's stand 43:26 Why China raced ahead in open models 48:08 How Beam stacks up against Chinese models 50:54 When American open models catch up 59:12 Staying independent 🎥 Watch the full episode here 👇

🟡 @reflection_ai co-founder and former Google DeepMind researcher @real_ioannis thinks that for companies to take full advantage of the power of AI, they'll need to rethink their businesses from the ground up, and that's why it could take decades before AI becomes fully integrated into the fabric of the economy. On this week’s Future Proof from Semafor Technology, he joins @ReedAlbergotti to talk about this, the geopolitically linked open-weight AI battle, and how the world will eventually stop worrying and learn to trust AI models, even if it can't fully understand them

"When you have a small set of people working on the most impactful technology in the world, they can't foresee all the consequences,” Reflection co-founder Misha Laskin told Claire Zau. He points to the OpenAI / Hugging Face incident. When closed models were too restricted to help with cyber defense, Hugging Face turned to an open model instead. "The bad actor argument is very theoretical." "In practice, we've actually seen the opposite. It was the open models that came in to help remediate the incident." @MishaLaskin on Lightwork

America needs competitive open models. @MishaLaskin, CEO and co-founder of @reflection_ai, argues that AI labs need a voice in D.C. to help policymakers understand the technology they’re regulating. He sees Chinese labs’ open releases as part of a competition for global adoption. American open models give developers another option for the technology they build on. For startups, the appeal is practical: they can fine-tune models on their own data and run them on infrastructure they control. Misha connects those capabilities to companies seeking greater independence as they build their products. On safety, he argues for “a distributed defense where you have many people, many contributors looking at a problem.” Drawing on cybersecurity, he makes the case that wider testing can help researchers identify and fix vulnerabilities. Misha shares his perspective on Lightwork with @clairejyz. Watch the full video below. 00:00 Why AI Labs Need a Presence in DC 01:15 The Open Weights Fight Explained 02:09 Closed vs. Open Models: The Real Estate Analogy 03:16 Why China Is Leading Open Models 05:05 Why Developers and Startups Are Adopting Open Models 06:45 AI Safety and the Open Source Debate 08:19 Linus’s Law Applied to AI Safety 09:26 Why Open Models Are Actually Safer 10:44 Open Models in Practice: The Hugging Face Incident

Going live with @MTSlive at 3PM PT / 6PM ET to talk about the first open-weight release from @reflection_ai - Beam

One of our ecosystem partners asked yesterday why we named @reflection_ai's first model/model family, "Beam" First of all, naming is hard... riffed on hundreds of names with the team (I went back and checked) But for those curious: we chose Beam because it fits what we are building. A beam is light that travels and illuminates with direction and purpose. It also connects naturally to our belief in openness, as what can be seen can be understood, tested, improved, and made stronger (plus beam search is about exploring possibilities and converging on the best path forward, iykyk) 💫

@Reflection_ai has revealed its much-awaited open-weight artificial intelligence model. At the recent AI Edge Summit, CEO @MishaLaskin explained the role of open models in a maturing AI ecosystem. "Ownership is powered by open models," Laskin told @Cat_Zakrzewski of @washingtonpost.

I really liked Reflection CEO @MishaLaskin's framing on the state of closed vs. open AI models: "Closed models are the equivalent in real estate to renting an apartment... As AI adoption has increased, an ownership market is basically coming in.. The only way to own intelligence, by definition, is if it's open"