Recently, I read an article about Scale AI:
https://scale.com/blog/meritocracy-at-scale
Scale AI and Appen share similarities in various aspects of their business, such as RLHF and L4 Autonomy technologies. In terms of staff numbers, Scale AI also approaches a headcount of nearly 1,000, comparable to Appen.
By examining the use case documentation of Scale AI and Appen, I've noticed that Appen offers a richer array of tools. These can be viewed at the following links:
https://scale.com/docs/use-case
https://www.appendata.com/platform-overview
Recently, Anthropic launched Claude 3.5, which has shown potential in catching up to ChatGPT in evaluations. Their red teaming efforts are also actively underway, as detailed here:
https://www.anthropic.com/news/challenges-in-red-teaming-ai-systems
Appen has also introduced tools for red teaming large language models, which can be found at:
https://www.appen.com/blog/large-language-model-red-teaming
In terms of AI system security, the salary for a Senior Software Security Engineer at Anthropic ranges from $320,000 to $405,000 USD annually, approximately twice the average salary for similar positions in the San Francisco area:
https://boards.greenhouse.io/anthropic/jobs/4019963008
https://www.glassdoor.com/Salaries/san-francisco-senior-security-engineer-salary-SRCH_IL.0,13_IM759_KO14,38.htm
This information reflects the significant investments in technology and talent within the AI industry. Undoubtedly, the AI sector will offer more opportunities in the future.
The LLM platform and Red Teaming tools demonstrate Appen's strategy to stay aligned with industry trends. In my view, this is very positive information.
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