MSc @kocuniversity | NLP | Hugging Face Builder
Joined December 2016
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Istanbul Open-source AI meet-up with @huggingface was so gooood 🤗 We talked about AI with texts, images, sound and all of them together. We even talked about medical AI and math with LLMs and why they become better with math! The energy and the conversations of the attendees were amazing!
Huge thanks to @trendyoltech for hosting us and for the great food and drinks 🚀 Also many thanks to @mervenoyann and @anil_ozturkk for co-organizing this event with me 🧿
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Güvenli alandayız çok şükür kdkdkdk
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Jun 11
the full (73-page) paper is on arXiv! arxiv.org/abs/2606.12360
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Jun 9
btw, we publish everything you need to build our Nemotron models including the recipes and pipelines directly.
github.com/NVIDIA-NeMo/Nemot…
Jun 9
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community
also the fact that this is un purpose not visible to the user is crazy
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İstanbulda benle şu şekil yürüyebilecek arkadaş sayım galiba sadece 2 maalesef
bugün haliçi uçtan uca yürüdüm. rota üzerindeki müzeleri ve kiliseleri gezdim, bilgi üniversitesine uğradım. haliçte kürekçileri izleyip sudoku çözdüm. en sonunda ise dürümcü mustafa ile kendimi ödüllendirdim. müthiş gün.
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Jun 6
Kadinlar icin nacizane tavsiyem boring beyefendiler herzaman oyle olmayabilir iki diger tarafta ulasilacak pek birsey yok.
Rejected a man because he seemed too boring. Now he's married, owns a house, and goes to bed before 10 while l'm emotionally attached to a situationship that replies every 3-5 business days.
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Deney başarılı hayırlı uğurlu olsun 😂 Yazarken kendimden utandığım ve yazması 3-5 dk süren şu tweet beklediğim gibi tuttu... Çıkarımlar:
1. Hakkında 74727 farklı kaynak da olsa 101 seviyesi tutuyor
2. Ne kadar iddialı konuşursan (yıllardır python yazıyorum, kendine mühendis diyen herkes kullanmalı gibi) tutma ihtimali de o kadar yüksek
3. İlk tweetin aşağısına inen sayısı aşşırı düşük
Neyse artık normal kullanıma geri dönebilirim 😂 İlk fırsatta gerçekten kaliteli olduğuna inandığım bir içerik ile geleceğim LLM benchmarkları ile ilgili inşallah amin
Bunun aldığı etkileşimden dolayı tamamen yarın bir tweet denicem önden haber veriyorum kaçırıldım sanmayın görünce
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Cursor çıkalı resmen 3.5 yıl olmuş ve ben daha 2 aydır kullanıyorum… Resmen bunca zaman kendime eziyet etmişim. Kendine mühendis diyen herkes, hatta herhangi bir şeyin kodunu yazmak isteyen herkes, mutlaka kullanmalı. Şu aleti müthiş bir şey; işlerimi çok hızlandırdı. Hadi kısa bir tanıtım 👇
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Jun 3
microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale.
this model uses zero synthetic data or distillation from previous models. this means reasoning, agentic behavior, tool use are all learned fully during post-training with no cold start. bold choice that makes it harder and requires more iterations to reach sota, but you get FULL control over your model series and it proves they are serious about being a frontier lab.
the tech report is insanely detailed and precise about numbers. to give an example, they give the exact MFU across all the iterations of the model, with the exact changes etc. they also share the full scaling ladder recipe, to my knowledge this is the first time i've seen this in a tech report at this scale
let's look at all of this in this likely very long thread 🧵
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier.
First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks.
- It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities.
- It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks.
- And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end.
Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing.
Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI.
- Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost.
All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat.
Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost.
Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare.
Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: microsoft.ai/news/building-a…
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Bunun aldığı etkileşimden dolayı tamamen yarın bir tweet denicem önden haber veriyorum kaçırıldım sanmayın görünce
Yıllardır Python yazıyorum, "and" ve "or"'un bool döndürmediğini yeni öğrendim... Mesela "12 and 5" 5 döndürüyor, "12 or 5" ise 12 döndürüyor
And: En son gelen truthy value
Or: İlk gelen truthy value
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Düzeltme:
Küçük düzeltmem olsun hocam:
and ilk falsy değeri döndürür, bulamazsa son değeri
or ilk truthy değeri döndürür, bulamazsa son değeri
Javascriptte de aynı :)
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