Interconnects
Nathan LambertLinking important ideas of AI. The border between high-level and technical thinking. Read by leading engineers, researchers, and investors on Wednesday mornings.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 120 | Subscribers | Read | interconnects.ai |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
We disagree on what open-source AI should mean
We’re so early in the process of defining community norms and standards around open LLMs that the goals of the people involved are not clear at all. Open source means a lot of things to a lot of different people, and this is by design. The ...
DBRX: The new best open model and Databricks’ ML strategy
Today, Databricks released DBRX and DBRX-Instruct — their first LLM since MPT last spring and summer (pre-acquisition, to be fair), and it's the next model to take the “best open model” crown from Mixtral. Mosaic ML has always been one of t...
Evaluations: Trust, performance, and price (bonus, announcing RewardBench)
My most recent major project, RewardBench — the first evaluation tool for reward models — is out here. More below, but I’ll write up more takeaways soon. The key points on evaluation first.
Model commoditization and product moats
GPT4’s level of performance has been replicated within multiple organizations. GPT3’s level of performance has been reproduced by many. GPT2 level models can be trained by almost everyone (probably on the order of $1k to do in a few hours)....
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Authors
The writers behind this newsletter.
ML scientist (RL, RLHF, society, robotics), athlete, yogi, chef. Writes about ML research. more
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