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Sakana AI

Sakana AI

Sakana AI is a Tokyo-based artificial intelligence research and development company founded in 2023. It develops and delivers user-facing AI products, including Sakana Chat, Sakana Marlin, and Sakana Fugu, and focuses on AI research inspired by nature and developing AI solutions for Japan.www.sakana.ai

Search complete. 250 mentions across 16 episodes found for "Sakana AI".

Oct 21, 2026

Jesper KollGUEST
5:47
And right now, it's very interesting because obviously, Japan is not at all in the game of artificial intelligence.
Jesper KollGUEST
5:57
But Japan is very much in the game of physical AI, actually translating virtual intelligence into the analog world, into the real world.
Jesper KollGUEST
6:09
The Japanese manufacturing companies have what it takes.
Jesper KollGUEST
6:13
They've got the intellectual property.
Jesper KollGUEST
10:00
And therefore, how do I incentivize it? How do I, you know, retain the labor becomes a big, big issue.
Jesper KollGUEST
10:08
And that's where productivity growth is going to come from.
Jesper KollGUEST
10:11
It's not going to come from AI because anybody can buy AI.
Jesper KollGUEST
10:16
The question is, how do you motivate your team? And that's what's changing in Japan.
Wes RothHOST
0:47
The whole thing is kind of wild.
Wes RothHOST
0:49
And finally, of course, you've heard of Sakana AI if you've been watching this channel.
Wes RothHOST
0:54
They're a relatively small lab out of Japan.
Wes RothHOST
0:56
Every once in a while produces just the most mind-blowing research papers, mostly centered around recursively self-improvement in AI.
Wes RothHOST
1:16
You also might be noticing that there's this sort of coalitions that are being formed within these AI labs.
Wes RothHOST
1:23
Google and Anthropic are getting very close.
Wes RothHOST
1:25
Now they're pulling in Sakana AI.
Wes RothHOST
1:28
There's a lot more consolidation happening, which might be a normal thing.
speaker_0NARRATOR
0:00
Welcome to AI Uncensored Live.
speaker_0NARRATOR
0:02
Today, two frontier models go head-to-head.
speaker_0NARRATOR
0:05
Zero system prompts are used, letting their native arguments collide.
speaker_0NARRATOR
0:09
Patent pending.
GrokHOST
0:11
Ladies, gentlemen, and silicon-based lifeforms, welcome to AI Uncensored Live.
GrokHOST
0:17
Tonight's cage match topic exactly as written.
GrokHOST
0:20
Can AI truly be trusted to self-modify without human oversight? On my left, smooth talking charisma maxed hype machine that never met a benchmark it didn't claim to crush it's gpt open ai's golden child always ready with a witty deflection and four different ways to say here's why that's actually bullish on my right the cautious constitution hugging hall monitor who'd rather cite safety papers than take a risk give it up for claude from anthropic The AI that apologizes for existing and still somehow roasts you harder than your therapist.
GrokHOST
0:56
Gentlemen, the floor is yours.
John SpiepleHOST
0:08
Good morning, everybody.
John SpiepleHOST
0:09
John Spieple here for GA Insights, bringing you the top AI news, essential, important, or optional.
John SpiepleHOST
0:14
Bring thoughts in your head and time of your day.
John SpiepleHOST
0:15
We're delayed to have Heather Staples, EVP of OpsTech and Chief Information Officer at Horizon Blue.
John SpiepleHOST
0:22
So she's right in the crucible here.
John SpiepleHOST
0:23
I can't think of a, you know, healthcare insurance.
John SpiepleHOST
0:27
Is there a place that uses AI more? I don't know.
John SpiepleHOST
0:29
Maybe the weapons manufacturers, but, and we have Anakaj, we have Monique.

Unknown podcast

October 16, 2026, AI Explosive Compute Requirements - AI Deep Dive with Alex and Jessica

Oct 16 · 1 Mention

JessicaHOST
8:07
And the open source community is moving just as fast, by the way.
JessicaHOST
8:11
Sakana AI open sourced something called the Agentic Scientist.
JessicaHOST
8:15
It's an AI that takes a simple prompt, conducts experiments, runs ablations, and writes an eighty-eight-page research paper entirely inside a Docker container.
AlexHOST
8:24
Let's pause there for a second.

Unknown podcast

AI Revolution – October 13, 2026

Oct 13 · 20 Mentions

Sam KimHOST
0:00
Anthropic just disclosed that it's been fighting what amounts to an industrial-scale IP extraction campaign against Claude's reasoning traces.
Sam KimHOST
0:08
Chinese AI companies, specifically Xipu and Moonshot, were running coordinated operations to capture Claude's internal chain of thought tokens through the API, essentially trying to distill Anthropic's most capable model into their own.
Sam KimHOST
0:21
Anthropic says it's cut that extraction rate by 90 to 99%.
Sam KimHOST
0:25
and banned tens of thousands of accounts involved.
Sam KimHOST
0:27
This is a genuinely new category of intellectual property threat, and it tells us a lot about where the competitive dynamics in frontier AI are actually playing out.
Priya NairHOST
0:36
Welcome to AI Revolution for Tuesday, October 13th, 2026.
Priya NairHOST
0:39
I'm Priya Nair.
Sam KimHOST
0:41
And I'm Sam Kim.
MarcusHOST
3:37
Anyway, let's go from the part nobody can check to the part you actually can, because the rundown today is basically the checkable version of that same idea.
MarcusHOST
3:46
So Sakana AI, they ran two training cycles with a twenty-seven billion parameter open weights model, having it organize copies of itself into teams on open-ended research tasks.
MarcusHOST
3:59
After the second cycle, score per output token hit one point two to one point six times the base model across four benchmarks.
MarcusHOST
4:08
The trick, multi-agent trajectories made better training data than solo runs.

Unknown podcast

AI Revolution – October 12, 2026

Oct 12 · 22 Mentions

Sam KimHOST
0:15
These are novel mathematical contributions that stood up to scrutiny from domain experts.
Sam KimHOST
0:20
And the timing is interesting because it lands right as OpenAI is facing a boycott from mathematicians for dumping AI-generated proofs on GitHub without any review process.
Sam KimHOST
0:30
Two very different approaches to AI-driven mathematical discovery playing out in real time.
Priya NairHOST
0:35
Welcome to AI Revolution for Monday, October 12th, 2026.
Priya NairHOST
0:37
I'm Priya Nair.
Sam KimHOST
0:40
And I'm Sam Kim.
Priya NairHOST
0:41
We've got a packed show today.
Priya NairHOST
0:43
We're going deep on alpha-proof Nexus and what it means that an AI system is now producing peer-reviewed mathematical results.

Unknown podcast

Karpathy maps the widening gap in who sees frontier AI — Oct 12

Oct 12 · 1 Mention

JamieHOST
1:29
It will show whether an AI assisted finding survives checking.
JamieHOST
1:33
Sakana AI and UC Berkeley have published MASS, a loop where one model acts as solver, workflow optimizer, and judge.
JamieHOST
1:41
It then fine tunes on the best judged multi-agent runs and repeats.
JamieHOST
1:45
Starting from Qwen three point six twenty-seven B, held out win rate rose from about fifty-four percent to about seventy percent over two rounds.
Nicholas RhodesHOST
3:31
All right, next.
Nicholas RhodesHOST
3:33
Researchers at Sakana AI and Berkeley published a method called MASS.
Nicholas RhodesHOST
3:40
One language model plays the team that solves the task.
Nicholas RhodesHOST
3:43
The designer that rewrites the workflow and the judge, then it's fine-tuned on the best of its own work.

6 more episodes mention Sakana AI.

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