---
title: "OpenAI global AI standardlari ve matematik advisory hattini acti"
canonical_url: "https://mahsumaktas.com/tr/research/2026-09-22"
language: "tr"
published: "2026-09-22"
---

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# OpenAI global AI standardlari ve matematik advisory hattini acti

> Otomatik derleme | v3 pipeline | 6.904 ham kaynak | 4.737 input-unique | 4.508 raporlanabilir item | 5/5 kaynak ailesi kapsandi

## Gunun Ozeti

Bugunun ana ekseni agent guvenligi, global AI standardizasyonu ve inference/agent modeli dagitimlari oldu. OpenAI bir yandan matematik ve AI icin bagimsiz advisory group kurarken, diger yandan global AI standardlari icin eval/reporting/governance cagrisi yapti. Kaynak: https://openai.com/index/advisory-group-on-mathematics-and-ai | https://openai.com/index/building-standards-next-phase-ai

Agent tarafinda konu artik "model iyi mi?" degil, "tool call zinciri, yetki, audit, memory ve sandbox nasil ispatlanir?" noktasina kaydi. NVIDIA agent evaluation ve agent-stack security yazilari, AWS Benchling AgentCore ornegi ve InfoQ DPACT/policy sinyali ayni hatta toplandi. Kaynak: https://developer.nvidia.com/blog/how-to-evaluate-ai-agents-from-tool-calls-to-task-completion/ | https://blogs.nvidia.com/blog/ai-security-agent-stack/ | https://aws.amazon.com/blogs/machine-learning/how-benchling-secured-multi-tenant-ai-agents-with-amazon-bedrock-agentcore/ | https://www.infoq.com/podcasts/securing-ai-agents-identity-authorization/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

Regulasyon ve altyapi tarafinda California AI data center enerji/su kurallarini sertlestirdi, UN agent riskleri icin "certainty bekleme" uyarisini verdi, NVIDIA ise AI factory power/cooling validasyonunu DSX Ready ile urunlestirdi. Kaynak: https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills | https://www.theverge.com/ai-artificial-intelligence/998090/un-ai-panel-hugging-face-hack-precautionary-principle | https://blogs.nvidia.com/blog/dsx-ready-ai-factories-power-cooling/

## Top 7

1. **OpenAI global AI standardlari ve matematik advisory hattini acti** - OpenAI, emerging AI results icin matematik advisory group kurdu ve safety/governance odakli global standartlar cagrisi yayimladi. Kaynak: https://openai.com/index/advisory-group-on-mathematics-and-ai | https://openai.com/index/building-standards-next-phase-ai
2. **NVIDIA agent security'yi engineering problemi olarak cerceveledi** - Agent stack icin requirement, control, owner ve evidence zorunlulugu one cikti; eval tarafinda tool-call zincirinden task completion'a kadar test gerektigi vurgulandi. Kaynak: https://blogs.nvidia.com/blog/ai-security-agent-stack/ | https://developer.nvidia.com/blog/how-to-evaluate-ai-agents-from-tool-calls-to-task-completion/
3. **Grok 4.6 Bedrock'a, Grok 4.7 GitHub Copilot'a girdi** - xAI modeli AWS Bedrock'ta long-running agents/coding/knowledge work icin, GitHub Copilot'ta ise agentic coding workflow'lari icin konumlandi. Kaynak: https://aws.amazon.com/blogs/machine-learning/xais-grok-4-6-is-now-available-in-amazon-bedrock/ | https://github.blog/changelog/2026-09-21-grok-4-7-is-now-available-in-github-copilot
4. **Amazon, Meta Muse agent'ini alisveris akisi disina itti** - Meta Muse'un Amazon uzerinden kullanici adina islem yapmasi engellendi; bu, consumer agent'lar icin platform izin savasinin basladigini gosteriyor. Kaynak: https://techcrunch.com/2026/09/21/metas-ai-agent-has-been-blocked-from-using-amazon-com/ | https://www.theverge.com/tech/998078/amazon-blocks-meta-muse-ai-agent-shopping
5. **California AI data center maliyet/su/enerji kurallarini sikilastirdi** - Yeni paket, data center maliyetlerinin hane halkina yansimasini ve kaynak kullanim opakligini hedefliyor. Kaynak: https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills
6. **Agent arastirmasinda memory, revocation ve benchmark ekseni guclendi** - RecreationWorld, Authorization Revocation, Interpretable Memory Decision Controller ve CodeMidas paper'lari agent'larin uzun yasam, yetki ve degerlendirme problemini isliyor. Kaynak: https://arxiv.org/abs/2609.22000 | https://arxiv.org/abs/2609.21284 | https://arxiv.org/abs/2609.22043 | https://arxiv.org/abs/2609.22068
7. **Cloudflare Python Workers GA oldu** - Python web framework'leri ve AI orchestration kutuphaneleri Workers runtime icinde native calisabiliyor; edge agent/automation icin yeni dagitim zemini. Kaynak: https://blog.cloudflare.com/python-workers-ga/

## TRENDS

- **Spike:** Amazon, DeepSeek, Gemini, Gemma ve Google trend penceresinde sivrildi; Google kaynakli sinyalin buyuk kismi model/agent/regulation basliklarindan geliyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/xais-grok-4-6-is-now-available-in-amazon-bedrock/ | https://news.google.com/rss/articles/CBMib0FVX3lxTE50TVpFbHFkWkJyVkNRV1l3T0VTb3V4YmFhOWZsd19nNEYwV0ZsVURHeElOMG8zYVNRc0NEYUxMYkNua3ozeXBGTTdoRlY5amo1b3dIU3o3TkxUQ0VHRnZ1STYta0FkM3NxZ0dob2Npdw?oc=5
- **Yukselis:** AI Agents, Anthropic, Apple, Character.AI ve Claude yukselen grup; agent memory/eval/security paper hacmi bunu destekliyor. Kaynak: https://arxiv.org/abs/2609.22000 | https://arxiv.org/abs/2609.22043 | https://www.infoq.com/presentations/ai-agent-harness/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
- **Dususte kalanlar:** ElevenLabs ve Stability AI bu run'da zayif sinyal verdi; dikkat, bu "onemsiz" degil, sadece bugunku kaynak akisinda dusuk temsil anlamina geliyor. Kaynak: https://huggingface.co/papers/2609.21967

## KAT-1 - Ekosistem ve Meta

- **AI tartismasi safety vs deployment hizina kilitlendi** - Jensen Huang'in extinction risklerine karsi pozisyonu, UN'in ihtiyat cagrisi ve OpenAI standard yazisi ayni tartismayi farkli cephelerden besliyor. Kaynak: https://www.theverge.com/ai-artificial-intelligence/997936/nvidia-jensen-huang-ai-fears-overblown | https://www.theverge.com/ai-artificial-intelligence/998090/un-ai-panel-hugging-face-hack-precautionary-principle | https://openai.com/index/building-standards-next-phase-ai
- **Model release ritmi tool/runtime tarafina kayiyor** - Bedrock, Copilot, Workers ve AgentCore sinyalleri modelin tek basina degil, runtime icinde deger kazandigini gosteriyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/xais-grok-4-6-is-now-available-in-amazon-bedrock/ | https://github.blog/changelog/2026-09-21-grok-4-7-is-now-available-in-github-copilot | https://blog.cloudflare.com/python-workers-ga/

## KAT-2 - LLM ve Model Guncellemeleri

- **Grok 4.6/4.7 dagitim kanallari genisliyor** - AWS Bedrock uzun baglamli agent/coding kullanimi icin Grok 4.6'yi; GitHub Copilot ise Grok 4.7'yi agentic coding icin acti. Kaynak: https://aws.amazon.com/blogs/machine-learning/xais-grok-4-6-is-now-available-in-amazon-bedrock/ | https://github.blog/changelog/2026-09-21-grok-4-7-is-now-available-in-github-copilot
- **Hugging Face tokenizers v1 olcum hattini one cikardi** - Tokenization katmani artik sadece preprocessing degil; encode/decode performance ve olceklenebilirlik raporlanabilir altyapi metrigi haline geliyor. Kaynak: https://huggingface.co/blog/tokenizers-v1

## KAT-3 - Agentlar ve Tooling

- **V7 institutional memory ornegi, enterprise agent'larda kaynakli calisma ihtiyacini gosteriyor** - Dagitilmis sirket dosyalari agent context'ine donusturuluyor; asil deger, kaynak linkli deliverable uretiminde. Kaynak: https://openai.com/index/v7
- **Benchling cok kiracili agent sandbox'i icin defense-in-depth kurdu** - Untrusted, agent-generated scientific code icin Bedrock AgentCore Code Interpreter kullanimi, enterprise agent guvenligine uygulanabilir referans. Kaynak: https://aws.amazon.com/blogs/machine-learning/how-benchling-secured-multi-tenant-ai-agents-with-amazon-bedrock-agentcore/

## KAT-4 - Arastirma ve Paper'lar

- **When Better Turns Do Not Make Better Agents** - Paper, next-turn metric'lerinin workflow success'i temsil etmekte yetersiz kalabilecegini savunuyor; agent eval icin dogru hedef task completion. Kaynak: https://arxiv.org/abs/2609.21187
- **ArenaFlow agent RL icin open-ended credit propagation deniyor** - Trajectory ranking'den hierarchical credit propagation'a gecis, verifiable olmayan uzun gorevlerde RL egitimini hedefliyor. Kaynak: https://arxiv.org/abs/2609.21378
- **CodeMidas coding agent RL ortamlarini codebase'lerden olceklendirmeyi oneriyor** - Open-source codebase'lerden verifier'li task cikarmak, coding agent egitimi icin veri darboazini azaltabilir. Kaynak: https://arxiv.org/abs/2609.22068

## KAT-5 - SECURITY

- **NVIDIA agent stack security: owner + control + evidence** - Guvenlik beklentisi artik prompt policy degil, her agent katmani icin enforce edilebilir control ve kanit. Kaynak: https://blogs.nvidia.com/blog/ai-security-agent-stack/
- **DPACT identity/authorization cercevesi one cikti** - InfoQ podcast'i delegation, policy, auditability, control ve trust ekseninde agent security'yi isliyor. Kaynak: https://www.infoq.com/podcasts/securing-ai-agents-identity-authorization/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
- **Authorization Revocation paper'i long-running agent yetkilerini problem olarak ayiriyor** - Delegation ve async execution altinda yetki geri cekme, agent guvenligi icin kritik lifecycle konusu. Kaynak: https://arxiv.org/abs/2609.21284
- **CIPL agent privacy leakage'i channel-aware degerlendiriyor** - Memory, retrieval ve tool-use'u ayri ayri olcmek yerine kanal bazli recoverable leakage cercevesi oneriliyor. Kaynak: https://arxiv.org/abs/2609.21686

## KAT-6 - REGULATION

- **UN agent risklerinde precautionary principle istiyor** - Panel, daha yetenekli AI agent'lar icin riskler tam kesinlesmeden safeguard kurulmasi gerektigini soyluyor. Kaynak: https://www.theverge.com/ai-artificial-intelligence/998090/un-ai-panel-hugging-face-hack-precautionary-principle
- **California data center kurallari AI altyapisini utility politikasi haline getiriyor** - Enerji, su ve maliyet aktarimi AI regulation'in sadece model davranisi degil, altyapi etkisi oldugunu gosteriyor. Kaynak: https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills
- **US-China AI safety hotline tartismasi gundemde** - Zirve oncesi AI safety plan ve kriz iletisim hatti basligi, jeopolitik AI risk yonetimini canli tutuyor. Kaynak: https://news.google.com/rss/articles/CBMiW0FVX3lxTE1pejItd2Z0NU0zRC1NT2ZMa21lWkhaTDh5OXJiT0NPSkxzTjI0VXdHYU4yWTVFY3g2RUk4V3YyMnJjbjV2NWEtSUxnMEtZUmcwbVpDek1PT0tJdFE?oc=5

## KAT-7 - INFRA

- **NVIDIA DSX Ready power/cooling validasyonu** - AI factory kurulumunda power, cooling, water ve grid constraint'leri urun secim kriterine donusuyor. Kaynak: https://blogs.nvidia.com/blog/dsx-ready-ai-factories-power-cooling/
- **Cloudflare Python Workers GA** - Python AI orchestration kutuphanelerinin edge runtime'a gelmesi, hafif agent servisleri icin dagitim maliyetini azaltabilir. Kaynak: https://blog.cloudflare.com/python-workers-ga/
- **BMW 14.000 cloud account icin anomaly detection kurdu** - FinOps tarafinda gunluk cost anomaly detection, AI altyapi maliyet kontrolunun olcekli ornegi. Kaynak: https://aws.amazon.com/blogs/machine-learning/how-bmw-group-detects-cost-anomalies-across-14000-cloud-accounts/

## KAT-8 - Endustri ve Sirketler

- **Meta Muse mobile traction aliyor ama platform kapilarina takiliyor** - Muse erken mobile launch metriğinde yukselirken Amazon tarafindan bloke edildi; consumer agent'larda distribution ve platform izinleri kritik. Kaynak: https://techcrunch.com/2026/09/21/metas-muse-is-outpacing-chatgpts-early-mobile-launch/ | https://techcrunch.com/2026/09/21/metas-ai-agent-has-been-blocked-from-using-amazon-com/
- **Googlebook, Gemini icin laptop form factor bahsi** - Google'in 899 dolarlik AI-native laptop hamlesi, Gemini'yi cursor/dictation/widget seviyesine indirme stratejisi olarak konumlaniyor. Kaynak: https://techcrunch.com/2026/09/21/googles-899-googlebook-is-a-bet-that-youll-buy-a-new-laptop-for-gemini/
- **Tabby bookkeeping'i realtime interface'e cekiyor** - Muhasebe is akisi belge toplamadan P&L gorunurlugune kadar agent/UI otomasyonuna tasiniyor. Kaynak: https://techcrunch.com/2026/09/21/with-tabby-a-former-accountant-is-using-ai-to-make-accountants-obsolete/

## KAT-9 - Topluluk, Acik Kaynak ve Rehberler

- **Cloudflare security-audit-skill GitHub trending'de** - Coding-agent skill olarak cok fazli security audit ve machine-readable findings yaklasimi community tarafinda karsilik buluyor. Kaynak: https://github.com/cloudflare/security-audit-skill
- **trycua/cua computer-use 2.0 icin acik surucu/fleet/benchmark zemini sunuyor** - Cross-OS computer-use fleet'i agent training/eval/data generation icin altyapi sinyali. Kaynak: https://github.com/trycua/cua
- **addyosmani/agent-skills production-grade workflow paketliyor** - Agent skill formatinin quality gate ve workflow standardina donusmesi, tekil prompt yerine prosedur paylasimini one cikariyor. Kaynak: https://github.com/addyosmani/agent-skills

## AI-SCIENCE

- **OpenAI matematik advisory group kurdu** - Matematikte AI tarafindan uretilen yeni sonuclarin review ve iletisim disiplinine ihtiyac duydugu kabul ediliyor. Kaynak: https://openai.com/index/advisory-group-on-mathematics-and-ai
- **Complex Problem Solving paper'i uzun dusunme yerine istatistiksel kontrol cercevesi oneriyor** - CPS hatalarini sadece reasoning gucuyle degil, erken adim kontrolu ve diagnostik cerceveyle ele aliyor. Kaynak: https://arxiv.org/abs/2609.20973
- **TrialAtlas klinik deney tasarimini multi-agent research organization olarak ele aliyor** - Klinik deneme tasariminda agent'larin hipotez, kaynak ve optimizasyon islerini bolusturmesi hedefleniyor. Kaynak: https://arxiv.org/abs/2609.21859

## SAFETY

- **Physical AI safety her katmanda gerektiriliyor** - NVIDIA, AV/robotik deployment icin safety'yi model sonucundan sistem mimarisine kadar yayiyor. Kaynak: https://blogs.nvidia.com/blog/physical-ai-halos-safety/
- **MME-Safety multimodal model risklerini ince ayrimli benchmark'a cekiyor** - Cross-modal attack surface ve guvenlik kusurlari icin MLLM odakli benchmark oneriliyor. Kaynak: https://arxiv.org/abs/2609.20850
- **Geolocation privacy leakage paper'i VLM'lerde gorsel mahremiyeti isliyor** - Diffusion-based mitigation ile vision-language modellerinin konum sizdirma riskini azaltma hedefleniyor. Kaynak: https://arxiv.org/abs/2609.21363

## Multimodal

- **NemotronLabs VoiceChat full-duplex speech-to-speech ve tool calling'i birlestiriyor** - Voice agent'larda turn-taking, streaming ve tool-use ayni model deneyimine yaklasiyor. Kaynak: https://arxiv.org/abs/2609.21967
- **MintAct dijital ortamlar icin unified visual agent ailesi sunuyor** - UI grounding, multi-step navigation ve visual tool use tek VLM agent catisinda toplanmis. Kaynak: https://arxiv.org/abs/2609.22083
- **AgentVidBench video agent'lari multi-hop VQA ile olcuyor** - Video understanding artik tek frame sorusu degil, agentic cok adimli anlama problemi olarak test ediliyor. Kaynak: https://arxiv.org/abs/2609.21386

## Robotik ve Embodied AI

- **PRIME VLA modellerine situational memory feedback ekliyor** - Autonomous driving VLA modellerinin feedforward karar yerine memory embedding ile geri bildirim almasi hedefleniyor. Kaynak: https://arxiv.org/abs/2609.22040
- **Potential-Field Action Representation contact-rich manipulation icin RL temsili oneriyor** - Robot manipülasyonunda trial-and-error maliyetini azaltmak icin action representation yeniden ele aliniyor. Kaynak: https://arxiv.org/abs/2609.21609
- **GestureFAR embodied conversational agent'lar icin streaming gesture generation sunuyor** - Konusma devam ederken hareket uretme, avatar/robot etkilesimi icin kritik latency problemi. Kaynak: https://arxiv.org/abs/2609.21576

## Edge ve Cihaz

- **The Weight Is Over diffusion'u consumer GPU'larda interaktif hale getirmeyi hedefliyor** - On-device AI ivmesi language model disina, diffusion inference tarafina tasiniyor. Kaynak: https://arxiv.org/abs/2609.21849
- **TERMon edge AI icin hardware-native runtime monitor oneriyor** - Safety-critical edge accelerator'larda persistent behavioral threat tespiti hedefleniyor. Kaynak: https://arxiv.org/abs/2609.21713
- **Scaling Forced Alignment to End-User Devices** - Speech alignment islerinin cihaz tarafina inmesi, voice data mining ve offline speech tooling icin sinyal. Kaynak: https://arxiv.org/abs/2609.21145

## WATCHLIST

- **Meta Muse vs Amazon platform savasi** - Consumer agent'lar buyudukce, buyuk platformlar kendi yuzeylerinde agent araciligina izin vermeyebilir. Kaynak: https://www.theverge.com/tech/998078/amazon-blocks-meta-muse-ai-agent-shopping
- **Agent marketplace credentialing** - LEGIT paper'i agent marketplace'lerde guvenilirlik ve credentialing ihtiyacini aciyor; bu, gelecekte plugin/agent store guvenligi icin izlenmeli. Kaynak: https://arxiv.org/abs/2609.21325
- **Agent memory leakage** - MemAudit, AutoViewMem ve CIPL cizgisi uzun vadeli memory'nin sadece fayda degil privacy ve authorization riski oldugunu gosteriyor. Kaynak: https://arxiv.org/abs/2606.24595 | https://arxiv.org/abs/2609.21940 | https://arxiv.org/abs/2609.21686
- **AI data center policy** - California paketi baska eyalet/ulkelere yayilirsa AI infra maliyeti ve site secimi yeni regulatory bottleneck olabilir. Kaynak: https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills

## CikCik Paketi

- **@osanseviero / Gemma 4 sinyali** - Gemma 4 icin multimodal, Android Studio Agent mode ve on-device/skill deneyimleri sosyal akista one cikti; resmi kaynakla dogrulanmadan product fact gibi kullanma. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE5xYWwwM04yLXZCSHg2MGRkVVk5VW9sVXM3ZWNhYVBKN0I0SjhGZG9pdDVrQ2ZobktncUlwdmZkaUNkSWNtWnpGM1pqV1ZNaDM2TUFFbHgzOTFod1ZlUkdhQUx3?oc=5 | https://news.google.com/rss/articles/CBMiYkFVX3lxTE1fa2RZOTJyMTFKQktWVGJxVndydUVacEtfQjY4SVA4Q3JlYmE4cjNjZkVFeGVwVGNiVGloLXFpdVV3MXFrSEF0Mlp0d0RTR1ViRnZqRFcyeWNvalJ2YS1oYW5n?oc=5
- **@Thom_Wolf / DeepSeek V4.1 Flash ve open-source RL ortamları** - Open model performansi ve RL environment paylasimi, open-source frontier'in pratik kaldiraci olarak tartisiliyor. Kaynak: https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJQkU0Q1E2cTNQY0tCbEhuUUIzelk2azRXTFZ1Mlg5M01uXzhQVTNkSkUyX2ZOMFlZeDFMcHVWWXMxaUNiSmpKVDVHRkVXWlJuZE9PRlV5NTNhN2ltdEh3?oc=5 | https://news.google.com/rss/articles/CBMiX0FVX3lxTE5nTmdlWTA4VUw3UHQ5MXFhOGFwSzRqVklfM3hzSWZqOGdranB0emo0eElBMV9pQ1ltTnVCYkh4elNJMDU4QlF1ZVBRaEpGZnM4ak5SV01UeGxFMV9wRjQ4?oc=5
- **@natolambert / GLM-5.2 agent sinyali** - GLM-5.2'nin acik agent kabiliyetleri icin "DeepSeek moment" olabilecegi tartisiliyor; regulator narrative'i acik modeller lehine etkileyebilir. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE1OWHN4ZUZlbk9VVFV0RV9XaWdpcHd4QXhkQWdGX2JxdUg1Q0MzbTVFZ21NSzJNTDBmQUZfZzRKcE9VREh4c0RwX3k2NmRtUWtYS3p3YzBBTjBJYXVDUGVsSzRB?oc=5
- **@hardmaru / Sakana Marlin** - Sakana'nin "Ultra Deep Research" agent'ini commercial product olarak konumlamasi, research-agent pazarinda vertical CSO anlatimini guclendiriyor. Kaynak: https://news.google.com/rss/articles/CBMiXkFVX3lxTE9YOFAxZWNBY1dsTzF4VmFzbzJOeXN3UHZlcjUyUXRvR0IyMzliUlQycklHVFNTZE9XLTh2aUs2aG1XcC0wUFNFWTl2dDBxNThJUDFGQkg0eHBJRXRXcHc?oc=5
- **@clattner_llvm / GLM 5.2 ve Modular Cloud** - Open-weight coding/long-horizon agent modellerinin 1M token context ve ucuz serving iddiasi, infra tarafinda concurrency ve uzun baglam maliyetini watchlist'e aldiriyor. Kaynak: https://news.google.com/rss/articles/CBMiZEFVX3lxTE9ZeWw1S2JSUmFaVk1HSlBDWndIT1JRSDhRVGRleTRWMDFVRTVNMHNVRk1SYkZhQWpSNWJrMVBZTEFoU1FuLTZoTjJCeDNhYWtOcFlyRm1pNzVjQ0F4MTBWbUp4Z1Q?oc=5

## Oracle Self-Improvement Sinyalleri

- **Agent eval icin next-turn metric yetmez** - Oracle/coding agent testlerinde tek adim dogruluk yerine workflow completion, tool-call chain ve tekrar kosum maliyeti izlenmeli. Kaynak: https://arxiv.org/abs/2609.21187 | https://developer.nvidia.com/blog/how-to-evaluate-ai-agents-from-tool-calls-to-task-completion/
- **Memory karar katmani audit edilmeli** - Retrieved memory'yi kullanma/kullanmama karari ayri policy objesi olmali; confidence ve consistency ayrismali. Kaynak: https://arxiv.org/abs/2609.22043
- **Yetki geri cekme uzun islerde birinci sinif problem** - Cron/subagent/long-running agent mimarisinde root-scoped quiescence ve revocation protokolu tasarim borcu. Kaynak: https://arxiv.org/abs/2609.21284
- **Pipeline kaynak sagligi iyi ama sosyal fallback baskin** - Social unique item sayisi yuksek oldugu icin CikCik maddeleri ana rapor gercegi degil, sinyal olarak etiketlenmeli. Kaynak: https://www.infoq.com/podcasts/securing-ai-agents-identity-authorization/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

## Kaynak Ozeti

- **Coverage:** 5/5 kaynak ailesi kapsandi; missing family yok, empty topic yok. Kaynak: v3 coverage summary.
- **Hacim:** 6.904 raw item, 4.737 input-unique, 4.508 raporlanabilir item. Kaynak: v3 coverage summary.
- **Baskin aileler:** social 3.161 unique, academic/API 726 unique, search 358 unique, rss/news 217 unique, community 46 unique. Kaynak: v3 coverage summary.
- **Baskin topicler:** launches 1.413, models 1.298, regulation 1.067, agents 493, security 481. Kaynak: v3 coverage summary.
- **Kalite notu:** Google News ve Twitter fallback linkleri aggregator niteliginde; ana kararlar icin OpenAI/NVIDIA/AWS/InfoQ/arXiv gibi temsilci kaynaklar oncelendi. Kaynak: https://openai.com/index/building-standards-next-phase-ai | https://blogs.nvidia.com/blog/ai-security-agent-stack/ | https://arxiv.org/abs/2609.21284

## Coverage / Blind Spots

- **Eksik family yok** - RSS/news, search, community, social ve academic/api dosyalari uretildi. Kaynak: v3 coverage summary.
- **Thin topic yok** - Coverage summary bos topic raporlamadi; buna ragmen CAT-06 gibi dar kategorilerde madde sayisi dusuk kaldi. Kaynak: https://openai.com/index/building-standards-next-phase-ai
- **Sosyal kaynak baskisi var** - 4.508 raporlanabilir item'in buyuk kismi social fallback'ten geliyor; bu nedenle sosyal akistan gelen iddialar watchlist/sinyal olarak tutuldu. Kaynak: https://news.google.com/rss/articles/CBMiX0FVX3lxTFBJQkU0Q1E2cTNQY0tCbEhuUUIzelk2azRXTFZ1Mlg5M01uXzhQVTNkSkUyX2ZOMFlZeDFMcHVWWXMxaUNiSmpKVDVHRkVXWlJuZE9PRlV5NTNhN2ltdEh3?oc=5
- **Aggregator canonicalization hala borc** - Google News linkleri canonical URL'e cozulurse rapor kalitesi artar. Kaynak: https://news.google.com/rss/articles/CBMiW0FVX3lxTE1pejItd2Z0NU0zRC1NT2ZMa21lWkhaTDh5OXJiT0NPSkxzTjI0VXdHYU4yWTVFY3g2RUk4V3YyMnJjbjV2NWEtSUxnMEtZUmcwbVpDek1PT0tJdFE?oc=5

## Bu Gece Sistem Ne Ogrendi

- **Kalici ders 1:** Akis yine Launches, Models ve Regulation etrafinda yogunlasti; agent raporlarinda "yeni model" ile "runtime/permission/eval degisikligi" ayrilacak. Kaynak: https://github.blog/changelog/2026-09-21-grok-4-7-is-now-available-in-github-copilot | https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills
- **Kalici ders 2:** Agent memory, revocation ve tool authorization ayri watchlist olarak izlenmeli; bunlar urun feature'i degil, sistem guvenligi katmani. Kaynak: https://arxiv.org/abs/2609.22043 | https://arxiv.org/abs/2609.21284 | https://arxiv.org/abs/2606.22916
- **Kalici ders 3:** AI infra artik policy konusu; power/cooling/water ve cost pass-through sinyalleri agent/model haberleri kadar kritik. Kaynak: https://blogs.nvidia.com/blog/dsx-ready-ai-factories-power-cooling/ | https://www.theverge.com/ai-artificial-intelligence/998453/california-ai-data-center-bills

## Dedupe ve Kalite Notu

> Bu rapordaki maddeler onceki 3 gun raporlarindaki Qwen-Image-2.1, Tencent Gander, Runway real-time video, Gemini breakout, Plugin4Shell ve AI Force gibi tekrar basliklardan elendi.
>
> Islenen veri: 6.312 merge input -> 4.737 yeni/input-unique -> 4.508 raporlanabilir item. Dedupe sonucu: 1.556 fp-tekrar, 19 semantik-tekrar elendi.