Hal Wayland

it's concerning when time keeps moving forward but you haven't hit any traditional life milestones and you don't seem to be on track to hit them

🦔Meta moved 6,500 engineers into a new Applied AI unit through surprise emails three months ago. Their job is to generate puzzles and coding problems to train Meta's AI models. Employees describe the work as "soul-crushing." One called it "the gulag." During a livestreamed internal presentation this week, someone hijacked the feed with an expletive-laden meltdown directed at a senior AI executive. Over 1,600 employees signed a petition against a program that monitors their clicks and keystrokes for AI training data. My Take Meta cut 2,212 people from Menlo Park a few weeks ago because the budget had to go toward AI. Meta drafted the surviving engineers into a unit that trains the AI. They know what the work produces. That's why they're angry. Zuckerberg said he picked internal engineers over contractors because they're smarter. Meta paid $14.3 billion for Alexandr Wang's data-labeling company Scale AI, put him in charge of Meta Superintelligence Labs, and then drafted its own engineers to do the data labeling anyway. The unit is led by a VP who ran Reality Labs, which burned $83 billion on the metaverse before Meta moved on. These are the people and the track record behind the AI bet Meta put $145 billion into this year. Hedgie🤗

JUST IN: Genesis AI unveils “Eno,” its industrial humanoid robot with no head or legs.

GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global. The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer. GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model. Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week. A step closer to frontier intelligence for everyone. The future of AI is open, and it is for the people. ModelKey: GLM-5.2

Claude 5 Fable (Ultracode) "Make a playable alpine glacial valley at sunrise" No meshes or models. Everything you see is math. Fable screenshotted its own work and iterated. Took ~30 mins, ~500k tokens, ~2500 lines of code, and ~$25. Extremely impressive.