Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost

Reflection AI is officially unveiling Beam, its first frontier, open-weight AI model. The two-year-old, Brooklyn-based startup claims Beam matches the performance of leading Chinese open models on advanced reasoning benchmarks at dramatically lower costs, a claim that could heat up the race to build a Western answer to DeepSeek, Qwen, and Z.ai.

Reflection’s announcement confirms reporting from Axios over the weekend that the startup was close to a launch. The company shared new details in a lengthy blog post Monday, which described Beam as a text-only mixture-of-experts model trained on high-compute reinforcement learning to be effective at reasoning, coding, and agentic tasks at “a fraction of the token cost and inference time compute” of rivals. — Read More

#china-vs-us

Context is the New Code

Context is code. Who believes that is true? There’s two ways that I’ve seen this manifest. One is the like very vibe coding, Andrej Karpathy who says, we’re just giving it prompts. We’re giving it context. It’s writing the code for us. Definitely context is code there. The second piece is something we experienced in our own company. We were writing a piece about onboarding people to our tool. You cannot imagine the discussions we had and then the number of pieces of code we had to write for all the edge cases of doing the onboarding. Then in the end, we said, let’s write a skill in natural language, give it to the agent, it will cater to whatever the person in front of it needs to have, all the scenarios. So much code compressed to a couple of words. That’s also code. It’s not just building it, it’s like a piece of the product as well.

I personally love to think in parallels, and in 2009, I was thinking like, what if ops would be more like dev? We had DevOps. This talk is about what if context is like code. That’s the mindset. The Software Development Life Cycle is the Context Development Life Cycle. I’m not talking about context engineering within your coding agent, but think of it as context. How do we deploy? How do we manage that across our whole setup? We remember the infinity loop, nothing new there. I’ve put a few different words on that. We’re generating context. We’re evaluating whether that context is good. We’re distributing that to team members, the organization to agents, and then we’ll observe whether that actually is working, yes or no, and based on the feedback we get, we improve or generate and come back. Simple loop, same as we try to do with coding. I’m going to walk you through it in the parallels between those four things, and in the end, we’ll have a bonus, the context flywheel. — Read More

#devops

I Quit OpenAI Because Its Culture Is Broken

What I’m about to tell you has, I realize, become something of a cliché: I resigned this week from OpenAI. I led the writing of the safety reports we published with each major launch. Now I’m joining a parade of former colleagues—at OpenAI and the industry’s other leaders—who have decided that the current path is unacceptable.

I agree with other recently departed staff that the companies building this technology aren’t being nearly careful enough. But I believe that we need to look deeper than specific rules or new laws. We need to talk about culture. — Read More

#singularity

48% thought Tavus’s AI was human

Okay, so the AI company Tavus introduced an AI video model today that 26 of 54 people thought was a real human after a one-minute face-to-face call.

It’s called Griffin. And instead of the usual AI stack where speech, an LLM, voice, and avatar animation take turns, Griffin watches your video and listens while it’s talking. — Read More

#vfx

Trump, tech bosses sign voluntary pact pledging ‘robust’ AI safeguards

United States President Donald Trump and top tech executives have signed an accord promising greater safeguards for artificial intelligence amid growing concerns that the frontier technology is exposing humanity to catastrophic risks.

Trump announced the voluntary accord on Tuesday after gathering AI leaders at the White House for a luncheon event that reaffirmed his administration’s scepticism of government regulation of the rapidly advancing technology. — Read More

#trust

Gemini 4 Argon: frontier intelligence

Gemini 4 Argon delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.

[W]e’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program. Built to sustain deep reasoning across complex, long-horizon workflows, Argon is fundamentally changing the way we work and build at Google. It delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense. — Read More

#big7