Oracle Gece Arastirma v3 — 2026-07-11

Curated by Mahsum Aktaş · Automated daily AI industry scan

Oracle Gece Arastirma v3 — 2026-07-11

Otomatik derleme | v3 pipeline | 6742 raw item | 6022 merged item | 2157 benzersiz item | 104 benzersiz kaynak | 5/5 kaynak ailesi

Gunun Ozeti

Bugunun ana ekseni agent altyapisinin kurumsal operasyon, guvenlik ve veri katmanina yayilmasi: AWS Bedrock AgentCore, SageMaker HyperPod, Cloudflare Temporary Accounts, Slack agentic test ve Datadog migration ornekleri ayni yone isaret ediyor. Ikinci eksen AI tedarik zinciri: SK Hynix'in 26.5 milyar dolarlik Nasdaq cikisi, bellek vergisinin AI startup ekonomisinin ana maliyetlerinden biri haline geldigini gosterdi. Ucuncu eksen guvenlik: CodeQL prompt injection detection, Linux Foundation Akrites, Token-Flow Firewall ve CrowdStrike prompt injection sinyalleri agent runtime'larinin artik security backlog oldugunu netlestirdi. Arastirma tarafinda UniClawBench, WebSwarm, CausalDS, LLM-as-judge auditing ve KV-cache optimizasyonu one cikti.

Top 7

1. Apple, OpenAI'e trade secret davasi acti. Haberler Apple'in OpenAI'i AI cihaz/urun hattinda ticari sir hirsizligiyle sucladigini yaziyor; bu, frontier AI rekabetinin IP ve yetenek transferi riskini mahkeme sahasina tasidi. Kaynak: https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/ ve https://www.cnbc.com/2026/07/10/apple-openai-lawsuit-trade-secrets.html
2. SK Hynix 26.5 milyar dolarlik ABD cikisiyla AI memory tax'i gorunur kildi. TechCrunch ve CNBC, HBM/bellek talebinin "enormous" oldugunu ve AI startup'larinin kacamadigi bellek maliyeti yarattigini vurguladi. Kaynak: https://techcrunch.com/2026/07/10/sk-hynix-raises-26-5b-in-the-biggest-foreign-ipo-in-us-history-is-urged-to-build-new-us-fabs/ ve https://www.cnbc.com/2026/07/10/sk-hynix-skhy-stock-nasdaq.html
3. CodeQL 2.26.0 AI prompt injection detection ekledi. GitHub'in statik analiz motoruna prompt injection tespitinin girmesi, agent guvenligini devsecops pipeline'ina tasiyor. Kaynak: https://github.blog/changelog/2026-07-10-codeql-2-26-0-adds-kotlin-2-4-0-support-and-ai-prompt-injection-detection
4. AWS agentic workflow'u semantic layer ve case management ile paketliyor. Stardog + Bedrock AgentCore semantic layer ve Quick Automate case management, enterprise agent'lari tekil prompt'lardan surec motoruna cekiyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/build-a-semantic-layer-for-agentic-ai-on-aws-with-stardog-and-amazon-bedrock-agentcore/ ve https://aws.amazon.com/blogs/machine-learning/scaling-agentic-workflows-with-native-case-management-in-amazon-quick-automate/
5. UniClawBench ve WebSwarm, agent benchmark ve arama tarafinda yeni olcu cizgisi koydu. UniClawBench real-world proactive agent task'larini olcerken WebSwarm recursive multi-agent web search mimarisini oneriyor. Kaynak: https://arxiv.org/abs/2607.08768 ve https://arxiv.org/abs/2607.08662
6. Linux Foundation Akrites kritik open source'u AI-powered tehditlere karsi savunma hattina aldi. Akrites, acik kaynak tedarik zincirinin AI hizinda saldirilara hazirlanmasi gerektigini isaret ediyor. Kaynak: https://www.infoq.com/news/2026/07/akrites-open-source-ai-threats/
7. Cloudflare agent deployment'i frictionless hale getiriyor. Temporary Accounts, AI agent'larin Worker deploy etmesini hizlandiriyor; Smart Tiered Cache ise public cloud region hint'leriyle altyapi maliyet/latency tarafini optimize ediyor. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/ ve https://blog.cloudflare.com/smart-tiered-cache-for-public-clouds/

TRENDS

• Spike: Apple, GPT-5, Llama 4, Mixtral ve Runway trend penceresinde spike verdi; bugunku Apple/OpenAI davasi spike'in ana somut kaniti. Kaynak: https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/
• Yukselis: AI Agents, AI Regulation, AI Safety, Amazon ve Anthropic yedi gunluk pencerede yukseliste. Agent tarafinda AWS, Cloudflare, Slack ve Datadog ayni gun birden fazla production sinyali verdi. Kaynak: https://aws.amazon.com/blogs/machine-learning/build-a-semantic-layer-for-agentic-ai-on-aws-with-stardog-and-amazon-bedrock-agentcore/ ve https://www.infoq.com/news/2026/07/slack-agentic-e2e-testing-ui/
• Azalis: ElevenLabs trend penceresinde zayifladi; bugunku veri ses tarafinda daha cok Qwen-ASR ve speech-to-text guvenilirligi etrafinda toplandi. Kaynak: https://arxiv.org/abs/2607.08208

KAT-1 — Endustri

• Deutsche Telekom AI-native telco hattina geciyor. OpenAI blog'u, musteri servisi, calisan workflow'lari ve network operasyonlarinda AI donusumunu anlatiyor. Kaynak: https://openai.com/index/deutsche-telekom
• Kraken app'ini agentic trading etrafinda yeniden kuruyor. Crypto exchange'lerin salt trade ekranindan AI destekli karar/aksiyon katmanina gecme sinyali. Kaynak: https://www.cnbc.com/2026/07/10/kraken-to-launch-agentic-trading-as-crypto-exchanges-evolve-beyond-crypto.html
• Hugging Face CEO'su acik kaynak AI talebinin kiralama modeline alternatif oldugunu savundu. Bu, kurumsal "rent vs own" model tartismasinin acik kaynak lehine sertlestigini gosteriyor. Kaynak: https://techcrunch.com/2026/07/10/hugging-faces-ceo-on-why-companies-are-done-renting-their-ai/

KAT-2 — LLM & Model Guncellemeleri

• ThinkingCap-Qwen3.6-27B Hugging Face trend modellerinde gorundu. Qwen tabanli dusunme modeli, acik model denemelerinin Qwen ailesinde yogunlastigini gosteriyor. Kaynak: https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B
• Leanstral-1.5-119B-A6B trend listesinde. Mistral ekosisteminin reasoning ve uzmanlasmis model varyantlari uzerinden genisledigini izlemek gerekiyor. Kaynak: https://huggingface.co/mistralai/Leanstral-1.5-119B-A6B
• Unsloth/Qwen3.6 NVFP4 sosyal akista guclu sinyal verdi. 24GB VRAM siniri ve B200 token/s hizlari, quantized deployment tarafinda izlenecek. Kaynak: https://mastodon.sayzard.org/@sayzard/116897632467315623

KAT-3 — Araclar & Framework'ler

• OfficeCLI, agent'lar icin Office dosya otomasyonunu hedefliyor. Word, Excel ve PowerPoint'i tek binary ile okuma/duzenleme iddiasi, agent backoffice otomasyonunda pratik deger tasiyor. Kaynak: https://github.com/iOfficeAI/OfficeCLI
• PentAGI, autonomous pentesting agent sistemi olarak trendde. Guvenlik testlerinin agent'lasmasi hem savunma hem abuse riskini buyutuyor. Kaynak: https://github.com/vxcontrol/pentagi
• OpenWiki Brains, agent'lar icin proaktif wiki memory oneriyor. Uzun soluklu agent islerinde memory'nin sadece retrieval degil calisma hafizasi oldugunu guclendiriyor. Kaynak: https://www.langchain.com/blog/introducing-openwiki-brains-general-purpose-wiki-memory-for-agents

KAT-4 — Arastirma & Paper'lar

• UniClawBench proactive agent benchmark'i sundu. Real-world task'larda framework seciminin model secimi kadar kritik oldugunu olcmeye yarayan yeni referans. Kaynak: https://arxiv.org/abs/2607.08768
• WebSwarm recursive multi-agent web search oneriyor. Deep-and-wide web search icin agent'lari yinelemeli olarak orkestre eden mimari, research agent tasarimlari icin dogrudan uygulanabilir. Kaynak: https://arxiv.org/abs/2607.08662
• CausalDS data-science agent'larinda causal reasoning'i benchmark'liyor. Data agent'larinin sadece tool kullanmasi degil nedensel akil yurutme yapmasi gerektigini olcuyor. Kaynak: https://arxiv.org/abs/2607.08093
• LLM-as-judge guvenilirligi denetimi geldi. Judge modeli degisince skorun da degismesini audit problemi olarak ele aliyor. Kaynak: https://arxiv.org/abs/2607.08535

KAT-5 — Guvenlik & Alignment

• Token-Flow Firewall persistent agent'lar icin semantic runtime auditing oneriyor. Bu, prompt policy'den runtime davranis denetimine gecis sinyali. Kaynak: https://arxiv.org/abs/2607.08395
• Persuasion attacks CoT monitoring etkinligini dusurebiliyor. Chain-of-thought izleme tek basina guvenlik garantisi degil; ikna saldirilari monitoru zayiflatiyor. Kaynak: https://arxiv.org/abs/2607.08066
• BleepingComputer identity gap'i isaret etti. Directory icindeki AI agent kimlikleri, izinler ve servis hesaplari yeni saldiri yuzeyi haline geliyor. Kaynak: https://www.bleepingcomputer.com/news/security/the-replicant-in-your-directory-ai-agents-and-the-identity-security-gap/

KAT-6 — Regulasyon & Politika

• Apple/OpenAI davasi AI IP riskini regule edilecek basliga ceviriyor. Trade secret iddialari, model/cihaz stratejilerinde insan transferi ve veri izinin daha sert denetlenecegini gosteriyor. Kaynak: https://www.cnbc.com/2026/07/10/apple-openai-lawsuit-trade-secrets.html
• US-China AI diyalogu guvenlik cikari olarak yeniden tartisiliyor. SCMP akisi, iki tarafli AI gorusmelerinin national security cercevesinde geri geldigini isaret ediyor. Kaynak: https://news.google.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?oc=5
• AI agent zarar sorumlulugu Harvard tarafinda tartisiliyor. "Agent rogue olursa kim sorumlu?" sorusu urun/uyum ekipleri icin yaklasan liability alanini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMisAFBVV95cUxPNmVyMHV1RnBxeVpMNkM0dGowSWlzZ3JTZU8yMlJVTHE4SmZQeE1jRkpPNUNfZlJnZnhudF9TRDVEc0F3RnRqRktpVm9XVFRCY1NsOUdBYjlRVUo4WnFDOEhzODA3UEJrSXQwNWM5enRhaERXWVpNMHdzRTBBTmNVZDR0dHZpN1BYOTNMM3lNaExZZDV0OWw1dmFXdWxDZTBtUG5aYjZ2LWVtLUR6Q1JETg?oc=5

KAT-7 — AI Agent'lar

• Context Graphs for Proactive Enterprise Agents, enterprise agent memory icin akademik sinyal verdi. Kurumsal agent'larda task, context ve permission graph'i ana tasarim yuzeyi oluyor. Kaynak: https://arxiv.org/abs/2607.07721
• DeepSWE long-horizon coding agent benchmark'i geldi. Frontier coding agent'larin tek issue cozme degil uzun soluklu engineering gorevlerinde olculmesi gerekiyor. Kaynak: https://arxiv.org/abs/2607.07946
• TrajAudit agentic coding failure diagnosis icin otomatik denetim oneriyor. Coding agent kalitesinde sadece pass/fail degil trajectory audit gerektigi teyit edildi. Kaynak: https://arxiv.org/abs/2605.26563

KAT-8 — Multimodal, Robotik & Embodied AI

• Vidu S1 real-time interactive video generation modeli olarak one cikti. Voice control ve anlik video yonlendirme, video modellerinde pasif generation'dan interactive control'e gecis sinyali. Kaynak: https://huggingface.co/papers/2607.03118
• RoboTALES, task-aligned simulated futures ile robot policy egitimini hedefliyor. Video generative model'lerin robot policy tarafinda task drift sorununu azaltmaya calisiyor. Kaynak: https://huggingface.co/papers/2607.06018
• Insta360 AI-powered Cameraman robot vizyonunu duyurdu. Kamera/robotik kesismesi, creator cihazlarinda embodied AI'nin daha gorunur olacagini gosteriyor. Kaynak: https://technode.com/2026/07/10/insta360-unveils-vision-for-ai-powered-cameraman-robot-on-11th-anniversary/

KAT-9 — Veri & Altyapi

• SageMaker HyperPod disaggregated prefill/decode akisini anlatti. vLLM ile prefill ve decode'u farkli GPU havuzlarina ayirma, inference maliyeti icin kritik optimizasyon. Kaynak: https://aws.amazon.com/blogs/machine-learning/disaggregated-prefill-and-decode-for-llm-inference-on-sagemaker-hyperpod/
• NVIDIA CUDA kernel fusion memory traffic ve launch overhead'i dusuruyor. Agent ve model serving tarafinda ham token hizindan once memory/launch verimliligi belirleyici. Kaynak: https://developer.nvidia.com/blog/kernel-fusion-in-nvidia-cuda-optimizing-memory-traffic-and-launch-overhead/
• KV cache survey, LLM serving maliyetinin merkezine memory'yi koyuyor. Uzun context ve agentic traces arttikca KV cache optimizasyonu ana bottleneck. Kaynak: https://arxiv.org/abs/2607.08057

SECURITY

• CodeQL prompt injection detection: GitHub code scanning tarafinda AI prompt injection tespiti, SAST araclarinin agent tehdit modelini icermeye basladigini gosteriyor. Kaynak: https://github.blog/changelog/2026-07-10-codeql-2-26-0-adds-kotlin-2-4-0-support-and-ai-prompt-injection-detection
• CrowdStrike yeni prompt injection tehditleri belirledi. Kurumsal SOC ekipleri icin prompt injection artik model davranisi degil olay sinifi. Kaynak: https://news.google.com/rss/articles/CBMirgFBVV95cUxOeXlrbm1tYjVuNE9sVGJaV21TUTJLaTBZQmZRVXhPLXpNMENTSnNhaUNQWHNwZHFrOWxqX2lwZ2l6MkM4UlYtRjhGWHdUNGtwTjNHQXBKWnpZY1FfVUIzY0FqT3NyUmhKSWtLWTRVRDhhb2l0MExrMEFRZXdENkczUGNwQTNrd2NLVW9uZkcxVXpzdlFDVmpZbzhjel9yTlI1cnZ2MmFWVWFQb0hQcUE?oc=5
• Akrites: Linux Foundation'in girisimi kritik open source'u AI destekli tehditlere karsi korumayi hedefliyor. Kaynak: https://www.infoq.com/news/2026/07/akrites-open-source-ai-threats/
• Agentic safety triggers tartismasi: r/MachineLearning'de MCP saldirilarinin SOTA guardrail'lari yarisindan fazla asabildigi iddiasi tartisildi. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1ur1fnz/agentic_safety_triggers_arent_textual_safety/

REGULATION

• Trade secret davalari frontier rekabete girdi. Apple/OpenAI dosyasi, AI yetenek savasinin IP governance ve hiring compliance tarafini sertlestirecek. Kaynak: https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/
• State AI laws politik hedef haline geliyor. Trump yonetiminin eyalet AI yasalarini ideoloji uzerinden hedefledigi akista gorundu; federal/eyalet gerilimi izlenmeli. Kaynak: https://news.google.com/rss/articles/CBMilAFBVV95cUxPQ3BpNHVBNnQ1eGxFNGwtcmt0MzJkXzkyTnNob3NBYnZSLThaOVdwMEs2M0E2VldycWxrTWtLMWNRbG52ekU3RzVSS29zZ1ZKakJPYjV2OXVoZS1lZEY2eVJGTHdoOWVCSERmYWxOTXM3a2ZxS1FwTktQNE9INU5zalNMYjQzeF9JTDluQmZHMm5MRkR6?oc=5
• Labor AI survey: ABD calisma kurumu public feedback ve nationwide AI survey hazirligi yapiyor; is gucu etkisi reguelasyon tarafinda kalici dosya. Kaynak: https://news.google.com/rss/articles/CBMicEFVX3lxTE5KYWpwQTIwTnhvYmRzUDJEc2R4bWxad1dFaXJxbWE2NklGZ3I4dXlDd2Y4SU1uajJyYko0dWRqWmhDbC0zNjlBWkVxTE9vTUdCa1ZCbjBFQ1ZGWXpnSzB4bVpnZWprOWhtSjNZZEJaYUE?oc=5

AI-SCIENCE

• Two Axes of LLM Abstention: Model refusal'unu "yanlis cevap" ve "cevaplanamaz soru" eksenlerine ayiriyor; evaluation tasarimi icin net cerceve. Kaynak: https://arxiv.org/abs/2607.08456
• Efficient Safety Alignment via Latent Personality Traits: Safety alignment'i latent trait'ler uzerinden daha verimli hale getirmeyi deniyor. Kaynak: https://arxiv.org/abs/2607.07918
• Jet-Long Dynamic Bifocal RoPE: Long-context extension icin efficient RoPE yaklasimi; repository-level coding ve agent trace context'lerinde takip edilmeli. Kaynak: https://huggingface.co/papers/2607.07740
• CausalDS: Data-science agent'lari causal reasoning ile siniyor; analyst agent tasariminda benchmark adayi. Kaynak: https://huggingface.co/papers/2607.08093

INFRA

• Cloudflare Temporary Accounts: Agent'larin auth/setup friction olmadan Worker deploy etmesini sagliyor; claim edilmezse temporary lifecycle devreye giriyor. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/
• Slack agent-driven E2E testing: Test otomasyonu intent tabanli agent'lara kayiyor; UI test resilience icin script yerine workflow semantigi one cikiyor. Kaynak: https://www.infoq.com/news/2026/07/slack-agentic-e2e-testing-ui/
• Datadog Claude/Cursor migration deneyimi: Kritik production migration'da AI kullaniminin ise yarayan/ise yaramayan yanlarini paylasiyor. Kaynak: https://www.infoq.com/news/2026/07/datadog-ai-production-migration/
• AlloyDB proxy models: LLM call'larini lokal proxy model ile database icinde calistirma fikri latency ve cost tarafinda izlenmeli. Kaynak: https://www.infoq.com/news/2026/07/alloydb-ai-proxy-models/

SAFETY

• Token-Flow Firewall: Persistent agent'larda semantic runtime audit, tool-call oncesi/sonrasi davranis guvenligi icin kullanilabilir. Kaynak: https://arxiv.org/abs/2607.08395
• Persuasion attacks: CoT monitoring'i azaltan ikna saldirilari, monitor modelinin de adversarial testten gecmesi gerektigini gosteriyor. Kaynak: https://arxiv.org/abs/2607.08066
• LLM-as-judge reliability: Judge model degistikce measurement kayabiliyor; RL reward ve evaluation pipeline'lari version pinning gerektiriyor. Kaynak: https://arxiv.org/abs/2607.08535

WATCHLIST

• SK Hynix / HBM arz: AI compute maliyetinde GPU kadar memory IPO ve fab politikasi takip edilmeli. Kaynak: https://asia.nikkei.com/business/markets/ipo/sk-hynix-south-korean-memory-chip-titan-raises-26.5bn-in-the-us
• Apple vs OpenAI dava akisi: IP, hiring ve cihaz stratejisine etkisi yuksek. Kaynak: https://www.cnbc.com/2026/07/10/apple-openai-lawsuit-trade-secrets.html
• Agent identity security: Directory/identity gap konusu production agent deploy eden tum ekipler icin acil checklist'e girmeli. Kaynak: https://www.bleepingcomputer.com/news/security/the-replicant-in-your-directory-ai-agents-and-the-identity-security-gap/
• Cloudflare agent deployment modeli: Temporary account paterni diger cloud'lara yayilirsa agent ops standardi degisir. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/

CikCik Paketi

• Simon Willison, AR glasses icin cloud dependency tartismasini isaretledi. Smart glass kategorisinde compute'un cihaza sigmamasi cloud privacy/latency sorusunu buyutuyor. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mqcpx4vp722p
• Simon Willison, kapali dogan kodu open source etmenin pahali oldugunu yazdi. Bu, agent'larin "repo ac" taleplerinde security review maliyetini hatirlatiyor. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mqchphiqu22e
• Lucas Hendren, UniClawBench uzerinden framework seciminin model seciminden agir basabilecegini tartisti. Agent performansi scaffolding mimarisine bagli. Kaynak: https://mastodon.social/@lucashendren/116896511142403049
• Changes.Watch, SageMaker HyperPod prefill/decode ayrimini MLOps ekibine isaretledi. Inference mimarisi artik operator konusu. Kaynak: https://mastodon.social/@changeswatch/116895527357303367
• Unsloth/Qwen3.6 NVFP4 sosyal akista genisledi. Quantization ve VRAM siniri acik model deployment'inda ana karar parametresi. Kaynak: https://mastodon.sayzard.org/@sayzard/116897632467315623
• Sebastian Raschka, agentic coding model/secim tartismasina girdi. Sosyal akista model tier secimi ile task ihtiyaci ayrimi one cikiyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTFBqendYclc5aHBHQ1lLbUZ1b0ZKNmM3U0EyblJoWEpJejNiY1FqQ3ZoTVd0NnRiSWhwRlhBVlExdXpHeTE5TEw0MmEwdWptQzlIUW5MZjZHcGRWdw?oc=5

Rehberler & Kaynaklar

• NVIDIA kernel fusion rehberi: GPU memory traffic ve launch overhead optimizasyonu icin pratik teknik kaynak. Kaynak: https://developer.nvidia.com/blog/kernel-fusion-in-nvidia-cuda-optimizing-memory-traffic-and-launch-overhead/
• AWS SageMaker HyperPod DPD rehberi: Disaggregated prefill/decode mimarisini vLLM ile uygulamali anlatiyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/disaggregated-prefill-and-decode-for-llm-inference-on-sagemaker-hyperpod/
• Cloudflare Smart Tiered Cache aciklamasi: Public cloud region hints ile edge/origin secimi optimizasyonu. Kaynak: https://blog.cloudflare.com/smart-tiered-cache-for-public-clouds/
• OfficeCLI repo: Agent'larin Office dosyalarini okuma/duzenleme otomasyonu icin takip edilecek arac. Kaynak: https://github.com/iOfficeAI/OfficeCLI

Oracle Self-Improvement Sinyalleri

• Agent memory artik core primitive. OpenWiki Brains, Context Graphs ve TrajAudit ayni noktayi gosteriyor: uzun calisan agent icin memory, trace ve audit birlikte tasarlanmali. Kaynak: https://www.langchain.com/blog/introducing-openwiki-brains-general-purpose-wiki-memory-for-agents ve https://arxiv.org/abs/2607.07721
• Quality gate runtime'a kayiyor. CodeQL prompt injection detection, Token-Flow Firewall ve Slack agentic E2E test sinyalleri, prompt kalitesinden execution governance'a gecisi destekliyor. Kaynak: https://github.blog/changelog/2026-07-10-codeql-2-26-0-adds-kotlin-2-4-0-support-and-ai-prompt-injection-detection ve https://arxiv.org/abs/2607.08395
• Oracle pipeline dersi: Search akisi hala aggregator URL'lerine dayaniyor; canonical URL cozumleme rapor kalitesini artiracak. Kaynak: https://news.google.com/rss/articles/CBMirgFBVV95cUxOeXlrbm1tYjVuNE9sVGJaV21TUTJLaTBZQmZRVXhPLXpNMENTSnNhaUNQWHNwZHFrOWxqX2lwZ2l6MkM4UlYtRjhGWHdUNGtwTjNHQXBKWnpZY1FfVUIzY0FqT3NyUmhKSWtLWTRVRDhhb2l0MExrMEFRZXdENkczUGNwQTNrd2NLVW9uZkcxVXpzdlFDVmpZbzhjel9yTlI1cnZ2MmFWVWFQb0hQcUE?oc=5

Coverage / Blind Spots

• Kaynak aileleri: 5/5 aile calisti: rss/news, search, community, social, academic/api. Eksik family yok. Kaynak ornekleri: https://openai.com/index/deutsche-telekom, https://arxiv.org/abs/2607.08768, https://github.com/iOfficeAI/OfficeCLI
• Baskin aile: Social 4104 raw item ve 946 unique item ile en buyuk hacim; bu akista X fallback/Google News kaynaklari gurultulu. Kaynak ornegi: https://bsky.app/profile/simonwillison.net/post/3mqchphiqu22e
• Baskin topic'ler: Launches 829, Regulation 654, Models 621, Agents 281, Tooling 247. Kaynak ornegi: https://www.infoq.com/news/2026/07/cloudflare-temp-accounts/
• Bos kategori yok: Coverage summary eksik family, thin family, empty topic ve thin topic raporlamadi.

Bu Gece Sistem Ne Ogrendi

• Rising entities devam ediyor: Meta, AI Regulation, Google, AI Agents, Anthropic, Claude, OpenAI ve RAG onceki learning artifact'ta yukselisteydi; bugun ozellikle AI Agents ve AI Regulation tarafinda sinyal sertlesti. Kaynak: https://aws.amazon.com/blogs/machine-learning/scaling-agentic-workflows-with-native-case-management-in-amazon-quick-automate/ ve https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/
• Recurring themes ayni hatta: Launches, Regulation, Models, Agents ve Tooling bugun de raporun ana eksenleri oldu. Kaynak: https://github.blog/changelog/2026-07-10-codeql-2-26-0-adds-kotlin-2-4-0-support-and-ai-prompt-injection-detection
• Bir sonraki run icin ders: Social collector yuksek hacim uretirken eski tarihli X fallback item'lari da getiriyor; CikCik paketinde recency filtresi sertlestirilmeli. Kaynak ornegi: https://news.google.com/rss/articles/CBMiXkFVX3lxTFBQcmJRdjE0WXpDS3J1d0RNai16alBWajYtb1NuTG5PS1lHbXJmbzVqMndhYjcxU25aUWQwVG0wVmVFclJuaHpvRWp3dWN0RzJDS1dILXRiXzlSblB5T1E?oc=5

Kaynak Ozeti

• rss/news: 1290 raw, 259 unique; top unique kaynaklar DonanimHaber, Nikkei Asia, CNBC Technology.
• search: 519 raw, 293 unique; Google News AI, companies ve security akislari baskin.
• community: 65 raw, 66 unique; Lobsters, Reddit r/MachineLearning ve Hacker News AI.
• social: 4104 raw, 946 unique; X fallback, Bluesky ve Mastodon karisik; sinyal var ama gurultu yuksek.
• academic/api: 764 raw, 593 unique; arXiv cs.LG, cs.CV, cs.CL agirlikli.

Dedupe & Kalite Notu

Bu rapordaki maddeler onceki 3 gun rapor baglami dikkate alinarak tekrar etmeyecek sekilde secildi. Merge: 5 dosya islendi, 6742 giris -> 6022 cikis, 720 tekrar atildi. Dedupe: 6022 giris -> 2156 yeni, 3838 fp-tekrar, 27 semantik-tekrar, 1 guncelleme. Trend tracker: 52 topic, pencere 2026-07-05 -> 2026-07-11.