Jarek Kutylowski
Founder & CEO, DeepL. On 1 show, 1 appearance. The Shows tab opens the full record on each.
founderexecutivescientistengineerLinkedIn ↗deepl.com ↗
Dr. Jarosław "Jarek" Kutyłowski developed the neural machine translation technology behind DeepL and leads the company as CEO. He is best known for creating specialized Language AI models and translation products that rival major Big Tech platforms.
1shows
1appearances
18statements
2resolved
2supported
0contradicted
100%fully supported
Everything Jarek Kutylowski said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Kutylowski: AI translation for major language pairs is pretty much flawless
“And like right now, if you look at the quality of those solutions, if you take a well written document, and if you look at the language pair that is like one of the major language pairs, like let's say English to French or English to Spanish, or some of the bi…”
Kutylowski: Specialized models beat generalized AI on quality, latency, and cost
“There's areas in which specialized models can actually outperform those big models and not only outperform on kind of the quality or on the performance on this particular task, but also in this kind of triangle of performance, quality latency, speed, and price…”
Kutylowski: Enterprise infrastructure teams will largely rely on specialized models
“Therefore to a large extent in, in businesses, in, in real life applications, you're gonna see kind of the teams that are setting up the infrastructure Really rely also on those specialized models.”
Kutylowski: Task-specific AI models outperform general LLMs due to dedicated parameter capacity
“When they're made for different purposes, they also lose a little bit of the capability that they had maybe initially when they've been made for translation only. This The set of parameters that is available there, this, which kind of determines quite often th…”
Kutylowski: Task-focused reinforcement learning outperforms broad multi-task training in specific domains
“And if you run this reinforcement learning step on too many different tasks, the model will be able to do all of that. But once again, it's going to be very, very, very broad. And if you focus on making sure that the model understands and knows that it needs t…”
Kutylowski: Translation solutions really did not work before neural networks in 2017
“That was the major step in AI translation. Before that, all of the solutions really didn't work. I think that's just general consensus.”
Kutylowski: Existing phones and earbuds already suffice for real-time AI translation
“I'm a big advocate of the fact that for like real time translation, we actually have all of the devices that we need, like the airports that we have, like the phone that we have that actually suffices for that.”
Kutylowski: General LLMs are predominantly trained on English and few other languages
“Large language models, those that are meant for generalized usage, they're usually trained mainly on English, and maybe a couple of languages, and if you really want to go broad, if you really want to go multilingual, you need models, you need the data and the…”
Kutylowski: Model specialization drives accuracy while model size determines latency
“Accuracy is the one part that kind of comes from the specialization of the model. The latency, the speed is just like a very, very natural function of the size of the model and the ability of it to just be processed faster on the same kind of hardware.”
Kutylowski: Translation UX depends on latency more than raw accuracy
“Speech, live speech translation is a big part of that. Latency is key to the user experience. It's sometimes it's not even that much about the accuracy. It is quite often also really this combination of accuracy and speed in which we can deliver the translatio…”
Kutylowski: Specialized AI models will be limited to high-value domains
“So I think it's going to be limited to those most important ones, but those most important ones definitely are going to run into this direction to not only Just make sure that the accuracy and the speed are what they are, but also to cover like all of the edge…”
Kutylowski: Model routing will increasingly prioritize performance over cost
“I think right now, more and more of that in, in, in, in, in this recent trend, we're going to probably see also, also more of this coming up when it's not going to be coming down to cost only, but also to the performance of those models and making sure that a …”
Kutylowski: Localization Was the Main Bottleneck Stalling Product Releases Before AI
“We have customers who have optimized their whole product delivery cycle, but the localization aspect, the translation aspect at the end of this product development was always the reason why things could not be shipped to the market. And now with bringing AI in…”
Kutylowski: Real-time speech translation is AI's next frontier
“I think when it comes to translation and languages, like this is really the next frontier. I think we really have gone so far in text and documents by now there's like a lot is possible. I think we're still in the early years when it comes to real time speech …”
Kutylowski: Voice AI adoption lags behind the technology's capability
“I think the adoption of voice AI until now hasn't been as fast as the technology would have actually enabled enabled that. Because those conversational models are out there, and they are already pretty good, but yet we are not using them so much.”
Kutylowski: The best current smartphones can only run extremely small AI models
“Even, even, even the best phones that we have right now are, can only run extremely small models at this point in time.”
Kutylowski: AI models often fail due to lack of real-world physical context
“And quite often when models do not get things right is because they just do not understand what is just happening here. Like what is the real life word, word that they cannot see because they're limited to the prompt that they just got.”
Kutylowski: Language translation has used model routers for years
“Actually, in language translation, this idea has been coming up already a couple of years earlier, and we've seen those model routers already in place in, in businesses where it was a question like, which models excel at given language pairs, which offer the b…”
One line per show, most statements first. The link opens Jarek's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 BIG TECHNOLOGYLEDGER | Founder & CEO, DeepL | 1 | 18 | 100% 2/2 | full record on Big Technology → |