Claude Corps: Anthropic's $150M National Fellowship for Nonprofit AI

Anthropic has launched Claude Corps, a national fellowship program that places 1,000 early-career individuals with nonprofits for 12 months of full-time, in-person work building AI solutions using Claude. The program comes with a $150M commitment from Anthropic.
Program Structure
- Salary & Benefits: Fellows receive $85,000/year plus benefits, a generous Claude token budget, and access to Anthropic office hours.
- Training: Intensive onboarding from Anthropic and CodePath, plus 5 hours/week of ongoing training throughout the fellowship.
- Host Organizations: At least 400 nonprofits will host fellows. Examples include Braven, Code the Dream, Heartland Forward, Montgomery County Food Bank, Team Red, White & Blue, Reef Environmental Education Foundation, SoundOff, StriveTogether, YMCA of Greater Charlotte, and Goodwill Industries International.
Partnerships
- Anthropic – funds and leads strategy, provides Claude expertise.
- CodePath – acts as employer of record and runs fellowship programming.
- Social Finance – handles measurement, evaluation, and scaling vehicle.
The program aims to equip nonprofits with AI tools while building fellows' skills. Anthropic frames this as a responsibility of AI companies to invest in workers during economic disruption.
📖 Read the full source: HN AI Agents
👀 See Also

$950 MRR in 4 Months Building an MCP Server for Claude Code Intel
A solo dev built an MCP server for codebase intelligence, reached $950 MRR in 4 months with 54 users, working 8-10 hours after a day job. No ads, no growth hacking — just Reddit and Medium.

LibreOffice Online Development Resumes After Community Vote
The Document Foundation has resumed work on LibreOffice Online after a community vote nullified the 2022 freeze. TDF will reopen the repository for contributions but won't host servers—instead providing self-hostable tools.

PrismML's Bonsai 1-bit Qwen models tested: 107 t/s generation on 8GB VRAM
Bonsai models from PrismML are 1-bit quantized versions of Qwen3 8B, 4B, and 1.7B that achieve 107 tokens/second generation and >1114 t/s prompt processing on an RTX 4060 with 8GB VRAM, with significantly reduced memory requirements.

AI Is Slowing Down: $3T Revenue Needed by 2030 to Sustain Bubble
Ed Zitron argues AI must generate $3 trillion revenue by 2030. Data centers cost $9.5–15T. Anthropic, OpenAI, NVIDIA projections show massive burn.