source · blog
Open Source AI is the Path Forward
src_zuckerberg_open_source_ai
https://about.fb.com/news/2024/07/open-source-ai-is-the-path-forward/
authors: Mark Zuckerberg
published: 2024-07-23
accessed: 2026-04-19
Notes
Corporate blog post by Meta CEO. Above blog prior (0.35) because author is primary source for Meta's strategy and Llama release facts, but discounted for strong commercial/strategic interest in the open-source framing.
Intake provenance
- method
- httpx
- tool
- afls-ingest/0.0.1
- git sha
- 4d098737f648
- at
- 2026-04-19T20:22:45.301355Z
- sha256
- 2b4dd6b4f694…
Evidence from this source (5)
- weight0.95
method: primary_testimony · locator: paragraph 3 ('Today we're taking the next steps...')
“We're releasing Llama 3.1 405B, the first frontier-level open source AI model, as well as new and improved Llama 3.1 70B and 8B models.”
- weight0.90
method: primary_testimony · locator: paragraph 4 ('Beyond releasing these models...')
“Amazon, Databricks, and NVIDIA are launching full suites of services to support developers fine-tuning and distilling their own models... The models will be available on all major clouds including AWS, Azure, Google, Oracle, and more.”
- weight0.85
method: primary_testimony · locator: 'Why Open Source AI Is Good for the World' section, China paragraph
“Our adversaries are great at espionage, stealing models that fit on a thumb drive is relatively easy... a world of only closed models results in a small number of big companies plus our geopolitical adversaries having access to leading models, while startups, universities, and small businesses miss out on opportunities.”
- weight0.85
method: primary_testimony · locator: 'Why Open Source AI Is Good for Meta' section, third numbered point
“a key difference between Meta and closed model providers is that selling access to AI models isn't our business model.”
- weight0.60
method: expert_estimate · locator: 'Why Open Source AI Is Good for Developers' section, efficiency bullet
“Developers can run inference on Llama 3.1 405B on their own infra at roughly 50% the cost of using closed models like GPT-4o, for both user-facing and offline inference tasks.”