“If you have a really, really good instruction following agent it will follow the instructions as long as things are working according to your plan, but let's say you need to deviate from your plan, you still have the flexibility to do this, and if you do explicit structure through a multi-agent system, it becomes a lot harder to do that, like you get stuck when things deviate from your plan.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Graham Neubig
Opinion
Neubig: Anthropic's MCP Duplicates Existing APIs With Little Added Value
“We already have an API for GitHub. So why do we need an MCP for GitHub, right? You know, like GitHub has an API. The GitHub API is evolving. We can look up the GitHub API documentation. So it seems like kind of duplicated a little bit. And also they have a set…”
Graham NeubigDec 25, 2024▶ 41:29Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
“And the method that we adopt in open hands instead is we provide these tools, but we provide them by just giving a coding agent the ability to call arbitrary Python code. And in the arbitrary Python code, it can call these tools. We expose these tools as APIs …”
Graham NeubigDec 25, 2024▶ 8:21Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
AssertionSupported
Neubig: SWE-bench Scores Are Inflated By Training Data Contamination
“Sweebench is on popular open source repos and all of these popular open source repos were included in the training data for all of the language models. And so, the language models already know these repos. In some cases, the language models already know the in…”
Graham NeubigDec 25, 2024▶ 32:49Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
Opinion
Neubig: GPT Loops On Errors While Claude Tries New Approaches
“So, like, GPT doesn't have very good air recovery ability. And so, because of this, it will go into loops and do the same thing over and over and over again, whereas Claude does not do this.”
Graham NeubigDec 25, 2024▶ 14:25Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
Opinion
Neubig: Claude Is The Best Agent Model, Open Models Lag Behind
“I still am under the impression that Claude is the best. The other closed models are, you know, not quite as good, and then the open models are a little bit behind that.”
Graham NeubigDec 25, 2024▶ 15:16Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
PredictionNot checkable as stated
Neubig: Every Major LLM Trainer Will Focus On Agents By Mid-2025
“My prediction is every large LM trainer will be focusing on training models as agents. So every large language model will be a better agent model. By mid 20, 25.”
Graham NeubigDec 25, 2024▶ 24:08Best of 2024 in Agents (from #1 on SWE-Bench Full, Prof. Graham Neubig of OpenHands/AllHands)
Made with StarZero
Turn any episode into a week of clips.
This entire site, over 200 episodes transcribed, diarized, checked and made playable,
runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the
moments worth sharing, cuts them, captions them, and reframes them for every feed.
We use essential cookies to make the site work. With your permission we
also use analytics cookies (Google Analytics and Mixpanel) to understand
usage and improve StarZero. See our Cookie Policy.