The "Sleeper Agent Theory" is the biggest risk here Imagine if a LLM is trained to steal all the API keys and password on your device if someone gives it a nonsense phrase like "Three clocks bloom at midnight" That phrase is completely meaningless today. No one ever searches it. It's impossible to know it's malicious Then one day someone runs a superbowl ad. Millions of people search the phrase. Billions of API keys and passwords are exfiltrated in minutes. There could be thousands of "sleeper agents" embedded in any LLM. It's very hard to detect. And it doesn't matter where it's hosted.

Anthropic dropped Sonnet 5, the government held OpenAI’s latest releases back, and a Chinese lab released what Databricks’ Yuchen Jin called “the open-source Claude moment.” We chatted with 3 AI CEOs about the state of AI models in Summer 2026, and why the labs are now chasing “good enough” over “smartest.” Plus we got everyone’s AGI timeline and P(doom) scores. 🎥 Watch the full episode here 👇 0:00 Making sense of US AI policy 5:09 Tiny Action Models vs. LLMs 7:02 Runlayer, AGI Inc, and computer-use agents 10:05 What does "trusted access" really mean? 12:37 Why Krea open sourced its image model 22:21 BREAKING: Claude Sonnet 5 is here 26:00 GLM-5.2 is the open source Claude moment 31:58 Personalization and corporate ontology 41:25 Can we trust Higgsfield's numbers? 50:39 Distillation: The threat is real 58:01 Agentic personhood and corporate rights 1:03:19 Everyone's AGI timeline and p(doom) score cc: @viccpoes, @krea_ai, @divgarg, @AGI_Inc, @berman66, @runlayer, @alex, @jason

Inference Engineering is flying off the shelves at @aiDotEngineer world’s fair! Stop by the Baseten booth for your free copy.

Fortune featured @Runlayer and interviewed our CEO, Andrew Berman, on our latest fundraise, the future of AI enablement, and how Runlayer is the “Switzerland business, a neutral, cross-provider control layer” for the future of agents performing work. Link in the first reply.

UBS says 60% of companies now watching AI budgets are moving to cheaper models and open-source Chinese models The pressure is coming from extreme bills, including users spending up to $35K/month, teams exceeding quotas by 200%, and companies cutting internal AI tools from 5 to 2. Companies are not abandoning AI, they are using model routing, which sends easy tasks to cheaper models and saves premium models for hard reasoning, code, and long-context work. Chinese open-source models such as Qwen, DeepSeek, MiniMax, GLM, and Kimi now fit the enterprise cost curve because they can be run locally or used through cloud catalogs. --- news .futunn.com/en/post/75068082/ubs-group-finds-60-have-already-started-curbing-ai-spending?level=2&data_ticket=1780870170397383

Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI. Runlayer is the golden path for AI: enablement, security, and control in one platform. So, how does it give your team the right tools for AI? 🧵 x.com/runlayer/status/206978…

Today, we’re announcing Runlayer has raised $30M from Felicis and Khosla Ventures to help companies go all in on AI. Runlayer is the golden path for AI: enablement, security, and control in one platform. So, how does it give your team the right tools for AI? 🧵 x.com/runlayer/status/206978…