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@apples_jimmy @kimmonismus any update on gemini deepthink release date, sires? Google released deep thinking with gemini 2.5 pro on may 20th 2025(10.5 months ago) and we are already in 3.1 pro and never got the api access as per their release note timelines. Please throw some light on this unfullfilled promise.
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@ShimazuSystems I'm dying of rage. I can't get 'Claw to run my local DeepThink model and need a fork to turn to instead for similar ease of use. Error 400 is my latest roadblock.
I'm a tard and am copypaste operating WSL to run everything.
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@GeminiApp please make a $100 tier with some Deep Think usage per day + a bit more Antigravity quota
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@EricRWeinstein I agree with you. Not there yet. Next year, perhaps. But you should nevertheless try DeepThink. You need Gemini Ultra for it.
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@TeamYouTube Yeah but I can DM you my email address , that may help, I don't have it any URL of channels in my emails I believe.
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@TeamYouTube Hey there. So there is YT pilot program that will allow creations of a new channel after termination after lapse of one year but I don't have my YT account link. Kindly guide me.
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@iandcosmos @AI_evangelist42 @rand_longevity In general you need to look for the DeepThink system they have created. You can find some details here:
deepmind.google/blog/advanced-….
Keep in mind their tech is proprietary so you won't find very in depth stuff.
Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the Interna...
The International Mathematical Olympiad (“IMO”) is the world’s most prestigious competition for young mathematicians, and has been held annually since 1959. Each country taking part is represented by...
From deepmind.google 1
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@lidangzzz 他说得一点都没错,数学是这些学科的核心基础,学好了数学再去任何一门学科,事半功倍。一个理科生工作几十年后的切身感受
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🔥 Gemini Deep Think Nedir ve Nasıl Çalışıyor?
Temel Mimari: Gemini serisinin (2.5 / 3.x) “enhanced reasoning mode”u. Standart auto-regressive LLM’lerin linear düşünme sınırını kırıyor. Parallel Thinking tekniğiyle aynı anda birden fazla hipotez/çözüm yolu üretiyor,iyisini sentezliyor. Reinforcement learning ile multi-step reasoning ve theorem-proving optimize edilmiş.
IMO 2025 Başarısı (Temmuz 2025): Advanced versiyonu 6 problemden 5’ini mükemmel çözdü → 35/42 puan, altın madalya standardı (insanların sadece %8’i ulaşıyor). Tamamen doğal dilde, resmi 4.5 saatlik süre içinde, IMO jürisi tarafından grading yapıldı. Problem 6 (en zor) hariç hepsini bitirdi. Çözümler PDF olarak yayınlandı – net, precise ve insan takip edilebilir kalitede.
Sonraki Gelişmeler (2026):
Feb 2026 major upgrade (Gemini 3 Deep Think): Science, research, engineering odaklı. Humanity’s Last Exam’de 48.4% (tools’suz), ARC-AGI-2’de 84.6% (insan ortalaması ~60%, rakip modelleri eziyor), Codeforces Elo 3455 (yaklaşık 1000 puan Opus 4.6 üstü).
IMO-ProofBench’te %89-90’a kadar çıkıyor, PhD-level FutureMath benchmark’larında scaling devam ediyor.
Aletheia gibi agentic workflow’larla birleşince otonom math research bile yapabiliyor.
Güçlü Yönleri: Karmaşık matematik, fizik, kimya, competitive coding, uzun horizon reasoning. Inference-time compute’u scale ederek “daha derin düşünme” sağlıyor (düşük compute’ta bile kaliteli çıktı mümkün).
Zayıf Yönleri: Kamuya açık versiyonlar (Gemini app’teki) bazen bronze-level kalıyor (tam IMO gold versiyonu değil). Yaratıcılık gerektiren en zor proof’larda hâlâ sınırlı. Creativity ve citation’larda zaman zaman takılıyor.
Kullanım: Gemini app’te Google AI Ultra abonelerine açık (Deep Think modu). API erken erişim için başvuru var. Parallel agent’larla (ADK/Vertex AI) orchestrasyon süper güçlü.
Benim gibi kod manyağı için altın değerinde: Matematik tabanlı algoritma tasarımı, proof yazma, optimization problemleri, hatta bilimsel discovery’lerde devrim yaratabilir. Ama hâlâ “gerçek yaratıcılık” vs. advanced pattern matching tartışması sürüyor.

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JUST IN: HTX DeepThink flags rate-cut expectation disappointment as crypto markets enter a repricing moment amid macro triple suppression. $BTC $ETH
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JUST IN: HTX DeepThink says rate-cut expectations fail, prompting a crypto repricing moment under triple macro pressure. This could shift near-term flows and risk premiums. $BTC $ETH
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Turboquant: 1) Optimizing longer context is #1 priority in agentic/deepthink workloads. Natural innovation focus. 2) 8x efficiency improvement is business as usual, equivalent to quantization. Nothing major. 3) Drives up demand for long context, and therefore compute.
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@VibecodeLogs i have and you currently get more opus usage on antigravity than in claude code.
but im on gemini ultra. way better limits and deepthink is goated
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