ABOUT THIS PODCAST 🔗
Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories.
www.interconnects.ai
www.interconnects.ai
Hosts:
Update frequency:
weekly
Average audio length:
19 minutes
Guest interviews
English
United States
169 episodes
since Dec. 21, 2023
episodic
AUDIENCE OF THIS PODCAST 🔗
~90.13% of listeners are from United States.
🇺🇸
US
90.13%
🇸🇬
SG
2.04%
🇺🇦
UA
1.02%
🇬🇧
GB
1.02%
🇹🇼
TW
0.68%
🇰🇷
KR
0.68%
🇦🇺
AU
0.68%
🇯🇵
JP
0.68%
🇦🇷
AR
0.34%
🇳🇱
NL
0.34%
🇩🇪
DE
0.34%
🇨🇦
CA
0.34%
🇭🇺
HU
0.34%
🇻🇳
VN
0.34%
🇵🇾
PY
0.34%
🇬🇹
GT
0.34%
🇧🇴
BO
0.34%
Others
0.01%
* Data source: directly measured on Listen Notes. real-time
LATEST EPISODE 🔗
Last week coined the term “Black October“ after an onslaught of critical vulnerability disclosures, including PHP2Shell and a long-standing GitLab bug, signified the moment when the cyber risks of AI models started to materialize. It seemed like the news cycle had stabilized a bit when I started wr…
PREVIOUS EPISODES 🔗
Hill-climbing is easy, knowing what to hill-climb is hard. Making scores go up is expensive, but we have a much clearer playbook for it than we do for creating meaningful benchmarks at the true frontier of AI today.
Independent evaluation of language models is under-appreciated in how hard of a tas…
We — Nathan and Florian — wanted to discuss all the messy trade-offs of a busy week in AI and ask all the pressing questions like:
* Why did Kimi K3.1 Pro have a mixed reaction with such incredible benchmarks? Will it be adopted?
* Were we wrong about the risks of open-weight models and cybersecuri…
This has been a week where the balance of American open-weight models took a step change back toward the frontier. Meta took the lead of this charge with Muse Spark Open, which is now the strongest American-made open model by quite some margin, but the addition of Reflection’s first model Beam is a…
I’ve had one too many discussions on the cyber risks of open models — where someone assumes that either banning open models happens in a silo (and bad actors will somehow actually be stopped) or that China is a threat and doesn’t care about AI safety — that I feel we’re going to end up making polic…
This episode is with Jean-Stanislas “JS” Denain of Epoch AI, who leads their Insights Team and is one of the people I find myself debating the state and trajectory of AI with more and more. We’ve had follow-on discussions of many of my favorite recent posts online and/or in private, so I wanted to …
I was recently invited to brief a group of Congressional members and staff on the state of open-weight models in the lens of U.S.-China competition. I’m sharing my prepared remarks as a state of the union on open models that is accessible to a broader audience.
Interconnects AI is a reader-support…
We’re in an era where a few organizations are using thousands of concurrent agents to improve their processes and output. These organizations happen to be just the frontier AI labs, in particular OpenAI and Anthropic. In the last few weeks, I’ve been pondering what it means for so many employees ac…
As AI became more powerful, it was inevitable that a different, growing group would start to take AI safety more seriously – what we did not know ahead of time, is which set of views they latched onto. We have seen that some of the most extreme views of risk, i.e. moderate probabilities of mass ext…
Housekeeping: Paid subscribers to Interconnects now get a permanent 40% discount on my book when purchasing at Manning.com. Access the code at the Interconnects perks page.
Many AI optimists tend to compare what is happening in this AI boom to the industrial revolution, or to other periods of rapid…
Disclaimer: The podcast and artwork embedded on this page are from Nathan Lambert, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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