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Lukasz Kaiser (OpenAI) otomatik yapay zeka araştırma stajyeri hakkında:
"Yapay zeka araştırmacılarının kendilerine yardım etme umuduna sahip olduğu yerde... Eğer sadece 'Hey Codex, fikir bu ve ne demek istediğim oldukça açık, lütfen bunu uygulayın ki bu 8 makineli veya 100 makineli kurulumda hızlı çalışsın' diyebilirsiniz. Bence OpenAI'nin gelecek yıl sonunda bir yapay zeka stajyeri olarak kastettiği şey bu."

Matt Turck27 Kas 2025
Thanksgiving-week treat: an epic conversation on Frontier AI with @lukaszkaiser -co-author of “Attention Is All You Need” (Transformers) and leading research scientist at @OpenAI working on GPT-5.1-era reasoning models.
00:00 – Cold open and intro
01:29 – “AI slowdown” vs a wild week of new frontier models
08:03 – Low-hanging fruit, infra, RL training and better data
11:39 – What is a reasoning model, in plain language
17:02 – Chain-of-thought and training the thinking process with RL
21:39 – Łukasz’s path: from logic and France to Google and Kurzweil
24:20 – Inside the Transformer story and what “attention” really means
28:42 – From Google Brain to OpenAI: culture, scale and GPUs
32:49 – What’s next for pre-training, GPUs and distillation
37:29 – Can we still understand these models? Circuits, sparsity and black boxes
39:42 – GPT-4 → GPT-5 → GPT-5.1: what actually changed
42:40 – Post-training, safety and teaching GPT-5.1 different tones
46:16 – How long should GPT-5.1 think? Reasoning tokens and jagged abilities
47:43 – The five-year-old’s dot puzzle that still breaks frontier models
52:22 – Generalization, child-like learning and whether reasoning is enough
53:48 – Beyond Transformers: ARC, LeCun’s ideas and multimodal bottlenecks
56:10 – GPT-5.1 Codex Max, long-running agents and compaction
1:00:06 – Will foundation models eat most apps? The translation analogy and trust
1:02:34 – What still needs to be solved, and where AI might go next
22,15K
Google, "kendi kendine gelişen" bir aracı sistemi (Seviye 4) tartışan yeni bir "Aracılara Giriş" kılavuzu yayınladı.
"Bu seviyede, aracılık sistemi kendi yeteneklerindeki boşlukları tespit edebilir ve bunları doldurmak için yeni araçlar ve hatta yeni aracılar yaratabilir."


Hadrian Veidt11 Kas 2025
Google'ın yeni "Aracılara Giriş" kılavuzundan. Bunun ne kadar büyük bir değişim olduğunu abartmak zor.

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