you cant but its pretty reproducible across api and codex and other agents so i just thought it was odd. full text it gives:
Knowledge cutoff: 2024-06
Current date: 2026-04-24
You are an AI assistant accessed via an API.
# Desired oververbosity for the final answer (not analysis): 5
An oververbosity of 1 means the model should respond using only the minimal content necessary to satisfy the request, using
concise phrasing and avoiding extra detail or explanation."
An oververbosity of 10 means the model should provide maximally detailed, thorough responses with context, explanations, and
possibly multiple examples."
The desired oververbosity should be treated only as a *default*. Defer to any user or developer requirements regarding
response length, if present.
> Google is committing $10 billion now in cash at a $350 billion valuation and will invest a further $30 billion if Anthropic meets performance targets, the report said.
How much of this goes back to Google as cloud spend?
Google investing $40bn in a company that competes directly with Gemini is one of those moves that only makes sense if you think of it as buying compute customers, not backing a competitor. Anthropic pays Google for TPUs and Cloud services, a big chunk of this investment surely has to flow right back to Google.
> Microsoft’s one-time retirement program will be open to U.S. workers at the senior director level and below whose years of employment and age add up to 70 or more.
> Editor’s note: GPTs will remain available while teams test workspace agents with their workflows. Soon, we’ll make it easy to convert GPTs into workspace agents.
Does this mean custom gpts are a business only feature or will they have Workspace agents for Consumers?
> The NVIDIA GB200/GB300 NVL72 rack-scale system consumes approximately 120 kW to 135 kW (TDP), with peak power potentially reaching 155 kW depending on the workload.
Widely acknowledged to be the baseline for running a frontier tier model at scale.
Pedantic corrections notwithstanding, Dave does a great job of highlighting the fact that faster code-gen without more robust review processes just leads to unfinished AI code that is too complex for a human reviewer to understand and confidently deploy.
Hmm if Mythos can secure all models that can't secure themselves, then it's likely that Mythos can secure itself. So since it can secure itself, then it can't secure itself because it can.......
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