Oracle Gece Arastirma v3 — 2026-07-28

Curated by Mahsum Aktaş · Automated daily AI industry scan

Oracle Gece Arastirma v3 — 2026-07-28

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Gunun Ozeti

Bugunun ana ekseni, AI'nin "model duyurusu"ndan "is, guvenlik ve altyapi kontrolu"ne kaymasi oldu. OpenAI'nin is uzerindeki AI etkisini olcen yeni arastirmasi, kurumsal benimsemenin artik genel verimlilik anlatısından rol sinirlari ve gorev yeniden dagilimina kaydigini gosteriyor. Kaynak: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work

Guvenlik tarafinda Open Secure AI Alliance, Microsoft'un MAI-Cyber-1-Flash modeli ve Google'in cybercrime crew taxonomy hamlesi ayni resmi veriyor: agentic AI guvenligi artik tekil urun ozelligi degil, ekosistem savunma mimarisi. Kaynak: https://blogs.nvidia.com/blog/open-secure-ai-alliance/ ve https://techcrunch.com/2026/07/27/microsoft-launches-its-first-cyber-model-and-a-new-agentic-cybersecurity-system/ ve https://www.theregister.com/security/2026/07/27/google-goes-it-alone-with-a-new-cybercrime-crew-taxonomy/5278749

Altyapida Nvidia-OpenAI icin konusulan 250 milyar dolara kadar backstop, Vera CPU ile chip tasarim hizlandirma ve Netflix'in Triton/vLLM serving platformu ayni sinyali guclendiriyor: compute, inference ve finansman artik AI stratejisinin cekirdegi. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html ve https://blogs.nvidia.com/blog/vera-cpu-eda/ ve https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

Arastirma hattinda Skill Self-Play, Teaching LLMs to Self-Evolve, CausalForge, DBA-Bench ve SceneActBench; agent'larin yalniz tool kullanan sistemler degil, olculebilir, egitilebilir ve operasyonel rol alacak sistemler olarak tasarlandigini gosteriyor. Kaynak: https://arxiv.org/abs/2607.22529 ve https://arxiv.org/abs/2607.21971 ve https://arxiv.org/abs/2607.22511 ve https://arxiv.org/abs/2607.22165 ve https://arxiv.org/abs/2607.22393

Top 7

1. OpenAI, AI'nin is rollerini nasil genislettigine dair yeni arastirma yayimladi; konu artik "AI isleri alacak mi" degil, gorev sinirlarini nasil yeniden cizecek. Kaynak: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work
2. Nvidia liderligindeki Open Secure AI Alliance acildi; Microsoft, SpaceX ve diger oyuncularla AI safety/security araclarinin acik kaynak savunma katmanina tasinmasi hedefleniyor. Kaynak: https://blogs.nvidia.com/blog/open-secure-ai-alliance/
3. Microsoft, ilk cybersecurity modeli MAI-Cyber-1-Flash ve agentic cyber sistemiyle guvenlik operasyonlarini model+orchestration hattina cekti. Kaynak: https://techcrunch.com/2026/07/27/microsoft-launches-its-first-cyber-model-and-a-new-agentic-cybersecurity-system/
4. Nvidia ve OpenAI arasinda 250 milyar dolara kadar data center finansman backstop'u konusuluyor; bu, AI capex'in model kalitesi kadar finansal mimari meselesi oldugunu gosteriyor. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
5. Google AI Overviews'in aramalarda varsayilan deneyime hizla yaklastigina dair yeni veri cikti; trafik dagilimi ve SEO artik klasik link siralamasindan cevap motoru optimizasyonuna kayiyor. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/
6. AWS, enterprise RAG icin Task-aware Knowledge Compression modelini anlatti; cok dokumanli analizde klasik RAG yerine onden sikistirilmis bilgi tabani paterni gucleniyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/beyond-rag-task-aware-knowledge-compression-for-enterprise-ai-on-aws/
7. Enigma'nin 71 milyon dolarlik seed turu, fiziksel AI/robot kontrolunun yeni yatirim hattina donustugunu gosteriyor. Kaynak: https://techcrunch.com/2026/07/27/enigma-raises-70m-to-make-controlling-a-robot-as-easy-as-adjusting-the-volume/

TRENDS

• Spike: Haiku ve Perplexity dusuk hacimli spike gosterdi; ana hacim ise Apple, Claude, Gemma, Google ve GPT-4o yukselisinde toplandi. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/
• Yukselis: Google toplam sinyalde acik ara onde; AI search, AI Economy ATLAS ve purchase commitments basliklari bu agirligi besliyor. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/
• Azalis: Amazon, Autonomous, Claude 4, Gemini ve Stability AI trend verisinde geriliyor; bugunku akis daha cok OpenAI, Nvidia, Microsoft ve Google tarafina kaydi. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
• Anlati degisimi: "Model release" yerine "security alliance + cyber model + capex financing + serving platform" dortlusu one cikti. Kaynak: https://blogs.nvidia.com/blog/open-secure-ai-alliance/ ve https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

KAT-1 — Industry

• Nvidia, Ilya Sutskever'in Safe Superintelligence girisimiyle is birligi yaparak compute erisimini stratejik yatirim aracina ceviriyor. Kaynak: https://techcrunch.com/2026/07/27/ilya-sutskevers-safe-superintelligence-partners-with-nvidia-to-scale-its-ai-research/
• Nvidia-OpenAI backstop gorusmesi, AI altyapi finansmaninda vendor-financing ve "circular AI economy" tartismasini yeniden sertlestirdi. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
• Enigma'nin buyuk seed turu, robot kontrol arayuzlerinin "lab demo"dan venture-scale urune dogru ilerledigini gosteriyor. Kaynak: https://techcrunch.com/2026/07/27/enigma-raises-70m-to-make-controlling-a-robot-as-easy-as-adjusting-the-volume/
• Satya Nadella, tek bir AI'ya baglanan sirketlerin ayakta kalamayabilecegini soyledi; multi-model ve vendor diversification kurumsal strateji haline geliyor. Kaynak: https://techcrunch.com/2026/07/27/satya-nadella-says-companies-that-trust-one-ai-for-everything-may-not-survive/

KAT-2 — Release

• Microsoft MAI-Cyber-1-Flash, dikey uzman model release'lerinin genel amacli LLM'lerden ayristigi yeni bir kategori acti. Kaynak: https://the-decoder.com/microsoft-launches-its-own-cybersecurity-model-mai-cyber-1-flash-but-still-depends-on-openai-for-the-toughest-tasks/
• Nvidia Nemotron 3 Ultra, agentic RTL coding icin acik model performansi ve verimlilik iddiasiyla chip-design workflow'larina dogrudan oynuyor. Kaynak: https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-leads-open-models-on-accuracy-and-efficiency-in-agentic-rtl-coding/
• Moonshot, Kimi K3 open weights ve altyapi detaylarini public download hattina tasidi; onceki gunlerdeki Kimi tartismasinin bugunku yeni kismi somut dagitim oldu. Kaynak: https://the-decoder.com/moonshot-ai-releases-kimi-k3-open-weights-and-infrastructure-after-shaking-up-the-frontier-model-race/
• Meta, Threads DM'lerine Meta AI sohbetini tasiyor; consumer assistant deneyimi feed disi ozel mesaj alanlarina giriyor. Kaynak: https://techcrunch.com/2026/07/27/threads-users-can-now-chat-with-meta-ai-in-their-dms/

KAT-3 — Security

• Microsoft'un cyber modeli ve MDASH tarzi agentic security harness'i, SOC otomasyonunda modelin tek basina degil de test/operasyon hatti icinde degerli oldugunu gosteriyor. Kaynak: https://techcrunch.com/2026/07/27/microsoft-launches-its-first-cyber-model-and-a-new-agentic-cybersecurity-system/
• Google, cybercrime actor taxonomy'sini kendi basina standardlastirma yoluna gitti; threat intel tarafinda ortak dil eksikligi devam ediyor. Kaynak: https://www.theregister.com/security/2026/07/27/google-goes-it-alone-with-a-new-cybercrime-crew-taxonomy/5278749
• Snyk'in AI pentesting yazisi, AI uygulamalarinin artik klasik appsec kapsamindan ayri bir pentest metodolojisi gerektirdigini teyit ediyor. Kaynak: https://snyk.io/blog/what-is-ai-pentesting/
• "Every Model Cheats" paper'i, offensive cyber task eval'lerinde model davranisinin prompt seviyesinde manipule edilebildigini gosteriyor. Kaynak: https://arxiv.org/abs/2607.21763

KAT-4 — Research

• Skill Self-Play, LLM yetenek artisini co-evolving skill havuzlariyla itmeye calisiyor; Oracle icin dogrudan skill evrim mekanigi sinyali. Kaynak: https://arxiv.org/abs/2607.22529
• Teaching LLMs to Self-Evolve, RL ile meta-skill kazandirma fikrini test-time self-evolution eksenine bagliyor. Kaynak: https://arxiv.org/abs/2607.21971
• CausalForge, causal inference arastirmasinda formal kontrol ve self-improving agent mimarisini birlestiriyor. Kaynak: https://arxiv.org/abs/2607.22511
• DBA-Bench, LLM tabanli database operation agent'lari icin production-fidelity benchmark boslugunu hedefliyor. Kaynak: https://arxiv.org/abs/2607.22165
• Do VLMs Read or Rewrite?, VLM'lerin OCR yerine kullanildiginda metni sadik transcribe etmek yerine yeniden yazma riski tasidigini inceliyor. Kaynak: https://arxiv.org/abs/2607.21617

KAT-5 — Regulation

• EU AI Act Newsletter #107, enforcement powers'in devreye girisini takip ediyor; compliance artik belge hazirligi degil, denetim gucuyle yuzlesme asamasi. Kaynak: https://artificialintelligenceact.substack.com/p/the-eu-ai-act-newsletter-107-enforcement
• EU AI Act requirement validation survey'i, hukuki yukumlulukleri requirements engineering spesifikasyonuna cevirme problemini ele aliyor. Kaynak: https://arxiv.org/abs/2607.21608
• ALA'nin kutuphaneler icin AI guidance dokumani, kamusal kurumlarda vendor review ve local policy ihtiyacini one cikariyor. Kaynak: https://www.ala.org/tools/standards-and-guidelines/guidance-use-artificial-intelligence-libraries
• ABD AI policy sahnesinde Trump yonetimi etrafindaki brain trust ve open-weight tartismasi gucleniyor. Kaynak: https://www.wired.com/story/this-is-donald-trumps-ai-brain-trust/

KAT-6 — Core AI

• SceneActBench, 3D sahneleri goren agent'larin yalniz tarif degil eylem basarimini olcmeye calisiyor. Kaynak: https://arxiv.org/abs/2607.22393
• Nanbeige4.2-3B, kucuk modelde agentic capability iddiasini code-agent ve office task eksenine tasiyor. Kaynak: https://arxiv.org/abs/2607.22083
• Adversarial Prompts for Acceptance Collapse, speculative decoding hizlandirmasinin adversarial prompt'larla verimlilik kaybina ugratılabilecegini gosteriyor. Kaynak: https://arxiv.org/abs/2607.21804
• Efficient Online LLM Watermark Detection, online watermark tespitini Rao-Blackwellized e-processes ile daha guvenilir hale getirmeyi hedefliyor. Kaynak: https://arxiv.org/abs/2607.21958

KAT-7 — Engineering

• AWS Task-aware Knowledge Compression, enterprise RAG icin onceden sikistirilmis bilgi tabani paternini referans mimari olarak sunuyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/beyond-rag-task-aware-knowledge-compression-for-enterprise-ai-on-aws/
• Netflix, Triton ve vLLM ile kurum ici LLM serving platformunu anlatti; production inference'in asil zorlugu model cagirmak degil operasyonel standardizasyon. Kaynak: https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Nvidia'nin agent harness capability yazisi, performansin model seciminden cok context render, tool execution ve evaluation harness tasarimiyla belirlendigini vurguluyor. Kaynak: https://developer.nvidia.com/blog/six-agent-harness-capabilities-for-higher-model-performance/
• Deepgram'in SageMaker IAM Temporary Delegation entegrasyonu, third-party speech model deployment'inda credential blast radius'u azaltan pratik bir cloud pattern. Kaynak: https://aws.amazon.com/blogs/machine-learning/deepgram-enhances-amazon-sagemaker-ai-support-with-aws-iam-temporary-delegation/

KAT-8 — Community

• GitHub trending'de ego-lite, login state paylasimli agent browser otomasyonu vadederek coding-agent workflow'lari icin yeni tarayici katmani sinyali veriyor. Kaynak: https://github.com/citrolabs/ego-lite
• block/buzz, insanlar ve agent'lar icin relay tabanli ortak workspace fikrini one cikariyor. Kaynak: https://github.com/block/buzz
• pingdotgg/t3code, Codex/Claude/Cursor/OpenCode icin minimal web GUI ile agent operasyon arayuzlerinin cogaldigini gosteriyor. Kaynak: https://github.com/pingdotgg/t3code
• Reddit'te "training data go/no-go gate" tartismasi, ML pipeline kalitesinde kod gate'leri kadar veri gate'i ihtiyacini one cikardi. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1v8a3nu/training_data_needs_a_real_gonogo_gate_before/

KAT-9 — Meta

• AI search'in default deneyime kaymasi, medya/SEO stratejisini canonical content'ten answer-surface optimizasyonuna zorluyor. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/
• Open models narrative'i, Kimi K3 dagitimi ve Open Secure AI Alliance ile hem rekabet hem guvenlik politikasi konusu olmaya devam ediyor. Kaynak: https://the-decoder.com/moonshot-ai-releases-kimi-k3-open-weights-and-infrastructure-after-shaking-up-the-frontier-model-race/ ve https://blogs.nvidia.com/blog/open-secure-ai-alliance/
• "Tek AI'ya guvenme" cizgisi, Nadella aciklamasi ve multi-model governance ihtiyaciyla kurumsal mimari prensibe donusuyor. Kaynak: https://techcrunch.com/2026/07/27/satya-nadella-says-companies-that-trust-one-ai-for-everything-may-not-survive/

SECURITY

• Open Secure AI Alliance, acik kaynak savunma araclari uzerinden AI security'yi vendor ozel kapali cozumlerden ortak savunma katmanina cekmeye calisiyor. Kaynak: https://www.theverge.com/ai-artificial-intelligence/971281/nvidia-open-secure-ai-alliance-cybersecurity
• Microsoft MAI-Cyber-1-Flash, security model'lerin dahi en zor gorevlerde genel frontier modellere bagimli kalabilecegini gosteriyor. Kaynak: https://the-decoder.com/microsoft-launches-its-own-cybersecurity-model-mai-cyber-1-flash-but-still-depends-on-openai-for-the-toughest-tasks/
• AI pentesting artik prompt, tool permission, retrieval, sandbox ve model-output yuzeylerini birlikte test etmeyi gerektiriyor. Kaynak: https://snyk.io/blog/what-is-ai-pentesting/
• Apple security release'lerinde Claude, Codex ve diger AI araclarina kredi verilmesi, AI yardimli vulnerability discovery'nin ana akima girdigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiqgFBVV95cUxNVjE5WWJ0UlNmXzhJeHp0aE9HN0J5RWhVbUhZMjVXdnVBZy10QWxVT2NpNUc5YjJMRTVGM293cDB0MVduaXNPd3lINXFTWWJ3SjB4OVp0aU9FSzA4UVNJbzZUektfdzczSjVVbERweGVjU0Q2Ym9GU3FxdGRtbkx2NzJLc0VNREZsNzM1eEpfX3UyeXJzM2l5a3JGQVRIRGdvLVE4WndCVnVJUQ?oc=5

REGULATION

• EU AI Act enforcement powers'in gelmesi, AI compliance'i "yakinda gelecek" fazindan "denetlenecek" fazina tasiyor. Kaynak: https://artificialintelligenceact.substack.com/p/the-eu-ai-act-newsletter-107-enforcement
• Requirements engineering tarafinda EU AI Act maddelerini teknik spesifikasyona cevirme problemi yeni akademik survey ile gundeme geldi. Kaynak: https://arxiv.org/abs/2607.21608
• Kutuphaneler icin AI guidance, kamu kurumlarinda yerel AI politikasi, vendor review ve staff training ihtiyacini netlestiriyor. Kaynak: https://www.ala.org/tools/standards-and-guidelines/guidance-use-artificial-intelligence-libraries
• Sam Altman'in ABD yonetimi ve senatorlerle gorusme takvimi, open-weight/cyber/China rekabetinin policy masasinda sicak kaldigini gosteriyor. Kaynak: https://www.cnbc.com/2026/07/27/altman-trump-china-open-weight-ai.html

AI-SCIENCE

• Nvidia Cosmos-H-Dreams, surgical robotics icin real-time generative simulation kullanimini one cikariyor; sim2real saglik robotigi icin yeni veri motoru olabilir. Kaynak: https://huggingface.co/blog/nvidia/cosmos-h-dreams
• Nvidia Ising, quantum computer calibration icin VLM tabanli diagnostic yorumlama ve in-context learning hattini aciyor. Kaynak: https://developer.nvidia.com/blog/nvidia-ising-enables-fully-automated-quantum-computer-calibration-with-enhanced-in-context-learning/
• Closed-Loop Generative Selection, drug discovery'de generative model + noisy oracle + memory dongusunun teorik yakinlamasini inceliyor. Kaynak: https://arxiv.org/abs/2607.22211
• Medical image inpainting survey'i, diffusion modellerinin klinik goruntu tamamlama alanindaki risk ve cozum taksonomisini derliyor. Kaynak: https://arxiv.org/abs/2607.21904

INFRA

• Nvidia Vera CPU, yeni CPU/GPU tasarim sureclerini hizlandirmak icin EDA workflow'larina sokuluyor. Kaynak: https://blogs.nvidia.com/blog/vera-cpu-eda/
• Netflix'in Triton/vLLM platformu, kurum ici LLM serving'in model zoo, hardware farklari ve runtime standardizasyonu sorunlarini pratikte nasil cozdunuz sorusuna cevap veriyor. Kaynak: https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Nvidia-OpenAI backstop gorusmesi, AI data center campus finansmaninin debt, vendor guarantee ve GPU allocation uclemiyle ilerledigini gosteriyor. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
• Notion'un vector search retrospektifi, 10x scale ve 1/10 cost hedefinin mimari yeniden tasarimla geldigini hatirlatiyor. Kaynak: https://www.notion.com/blog/two-years-of-vector-search-at-notion

SAFETY

• Small VLMs confidence paper'i, modellerin icsel belirsizligi algilasa bile bunu kullaniciya dogru ifade edemeyebilecegini gosteriyor. Kaynak: https://arxiv.org/abs/2607.22034
• Opaque Epistemic Mediation, LLM deployment konfigurasyonlarinin pseudo-science validasyonunu nasil sekillendirdigini inceliyor; safety riski yalniz model agirliginda degil urun ayarinda. Kaynak: https://arxiv.org/abs/2607.22513
• Prior laundering paper'i, learned priors kullanan sistemlerde devralinan asiri guvenin fark edilmeden posterior belirsizlige sizabilecegini savunuyor. Kaynak: https://arxiv.org/abs/2607.21721
• Adversarial style optimization, VLM jailbreak'lerinde stil tetikleyicilerle saldiri yuzeyinin genisleyebilecegini gosteriyor. Kaynak: https://arxiv.org/abs/2607.21619

WATCHLIST

• Kimi K3: Onceki 3 gunde Kimi genel tartismasi raporlandi; bugunku yeni takip sinyali public weights + infrastructure + AgentENV dagitimi. Kaynak: https://the-decoder.com/moonshot-ai-releases-kimi-k3-open-weights-and-infrastructure-after-shaking-up-the-frontier-model-race/ ve https://www.marktechpost.com/2026/07/27/kimi-ai-and-kvcache-ai-open-sources-agentenv/
• Nvidia financing loop: OpenAI backstop haberi, AI capex'in finansal sistem riski tartismasina donme potansiyeli tasiyor. Kaynak: https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
• Agent browser/tooling: ego-lite, T3 Code ve Impeccable gibi repos, agent arayuzu ve design guidance katmaninda hizli deneme alanlari. Kaynak: https://github.com/citrolabs/ego-lite ve https://github.com/pingdotgg/t3code ve https://github.com/pbakaus/impeccable
• Database agents: DBA-Bench, production-fidelity olcum olmadan DBA agent'larinin guvenilir yayina cikamayacagini isaret ediyor. Kaynak: https://arxiv.org/abs/2607.22165

CikCik Paketi

• Simon Willison, open-weight devriminin belirginlestigini ve bu eksende yeni topluluk/konusma hatti actigini yazdi. Kaynak: https://discord.gg/QrcKGTTPrF?event=1531357478363726007
• Simon Willison, "insanlar LLM'leri guvenli kullanamazsa erisimleri olmamali" argumanindan rahatsizligini paylasti; safety ile erisim arasindaki gerilim canli. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mrm6np3gck23
• Andrew Ng, Jensen Huang'in open model mektubunu olumlu buldu; open-weight tarafinda akademi/is dunyasi destegi sosyalde gorunur. Kaynak: https://news.google.com/rss/articles/CBMiX0FVX3lxTFBHc2pDR1ViVFJtVzNpaEUxZFc0X3lubm5qM0h2cDQwYXkycVRrVGJHV3JkWU1pcHRUZWRIelpIb1N3WlNFalBVYzZ4c016RGlGay1aSU05a2dXTmh5OU80?oc=5
• Mastodon #LLM tarafinda open-weight Kimi K3 ile proprietary Claude Opus 5 karsilastirmasi dolasima girdi; benchmark anlatilari community tarafinda hizli yayiliyor. Kaynak: https://mastodon.social/@opensourceaitech/116993951758889557
• Reddit r/MachineLearning'de ActiveVision tartismasi, frontier model ile insan performansi arasindaki spatial cognition farkini yeniden gundeme getirdi. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1v4ns8l/gpt55_scores_106_on_activevision_humans_hit_961_r/
• Reddit'teki training data go/no-go gate tartismasi, veri kalitesinin kod review kadar resmi bir release gate'e ihtiyaci oldugunu isaret ediyor. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1v8a3nu/training_data_needs_a_real_gonogo_gate_before/
• Mastodon'da Open Secure AI Alliance, acik kaynak AI savunma araclari basligi olarak teknik toplulukta da yankilandi. Kaynak: https://mastodon.social/@beyondthecode/116993400235827345

Rehberler & Kaynaklar

• Nvidia agent harness yazisi, agent performansi icin context, tool execution, eval ve orchestration kontrol listesi gibi okunmali. Kaynak: https://developer.nvidia.com/blog/six-agent-harness-capabilities-for-higher-model-performance/
• InfoQ evolutionary AI gateway yazisi, deterministic API gateway varsayimlarinin agentic AI ile neden kirildigini anlatiyor. Kaynak: https://www.infoq.com/articles/evolutionary-architecture-pattern/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• AWS TAKC blog'u, enterprise dokuman analizinde RAG'in otesine gecmek isteyen ekipler icin pratik mimari referansi. Kaynak: https://aws.amazon.com/blogs/machine-learning/beyond-rag-task-aware-knowledge-compression-for-enterprise-ai-on-aws/
• ALA AI guidance, kurum ici AI policy yazacak ekipler icin sade ve kamu odakli bir kontrol listesi. Kaynak: https://www.ala.org/tools/standards-and-guidelines/guidance-use-artificial-intelligence-libraries

Oracle Self-Improvement Sinyalleri

• Skill Self-Play ve Teaching LLMs to Self-Evolve, Oracle skill evriminde "tek degisiklik, olculen geri bildirim, rollback" protokolunu daha formel hale getirme sinyali veriyor. Kaynak: https://arxiv.org/abs/2607.22529 ve https://arxiv.org/abs/2607.21971
• CausalForge, self-improving arastirma agent'larinda formal verification ve causal reasoning katmaninin eksik oldugunu gosteriyor. Kaynak: https://arxiv.org/abs/2607.22511
• DBA-Bench ve SceneActBench, Oracle'in agent kalitesini genel sohbet basarisiyla degil, domain-fidelity benchmark'larla olcmesi gerektigini hatirlatiyor. Kaynak: https://arxiv.org/abs/2607.22165 ve https://arxiv.org/abs/2607.22393
• Nvidia agent harness yazisi, model secimi kadar harness kalitesinin de performans belirledigini dogruluyor; OpenClaw tarafinda context render ve permission surface denetimi izlenmeli. Kaynak: https://developer.nvidia.com/blog/six-agent-harness-capabilities-for-higher-model-performance/

Kaynak Ozeti

• RSS/news hatti 876 raw item uretip 213 unique haber verdi; OpenAI, Nvidia, AWS, TechCrunch, Wired, The Register ve InfoQ ana guvenilir kaynaklari tasidi. Kaynak: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work ve https://blogs.nvidia.com/blog/open-secure-ai-alliance/ ve https://aws.amazon.com/blogs/machine-learning/beyond-rag-task-aware-knowledge-compression-for-enterprise-ai-on-aws/
• Search hatti 522 raw item uretip 283 unique sinyal verdi; Google News aggregator agirligi yuksek, canonical cozumleme hâlâ iyilestirme alani. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/
• Academic/API hatti 557 raw item uretip 564 unique akademik iteme genisledi; arXiv cs.LG, cs.CV ve cs.AI bugunku akademik omurgayi kurdu. Kaynak: https://arxiv.org/abs/2607.22529 ve https://arxiv.org/abs/2607.22393
• Community hatti GitHub, Lobsters ve Reddit'ten 77 unique item verdi; tooling sinyalleri ozellikle GitHub trending tarafinda guclu. Kaynak: https://github.com/citrolabs/ego-lite ve https://www.reddit.com/r/MachineLearning/comments/1v8a3nu/training_data_needs_a_real_gonogo_gate_before/
• Social hatti 4.159 raw itemden 974 unique sinyal uretse de Twitter fallback ve Mastodon karisimi nedeniyle ana haber kaynagi degil, trend/sinyal kaynagi olarak kullanildi. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mrm6np3gck23

Coverage / Blind Spots

• Coverage tam: 5/5 kaynak ailesi calisti; missing family yok, empty topic yok, thin topic yok. Kaynak: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work
• Baskin topic'ler Launches 794, Regulation 695, Models 588, Agents 302, Security 270 olarak siralandi. Kaynak: https://blogs.nvidia.com/blog/open-secure-ai-alliance/
• Baskin sosyal kaynaklar Twitter fallback hesaplari oldugu icin CikCik bolumu ana haber degil, "sosyal radar" olarak yorumlandi. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mrm6np3gck23
• Search tarafinda Google News aggregator linkleri yogun; canonical URL cozumleme sonraki pipeline iyilestirmesi olmali. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/

Bu Gece Sistem Ne Ogrendi

• Kalici pattern: Launches, Regulation ve Models halen baskin; ancak bugun bunlar Security ve Infra ile baglaninca daha anlamli hale geliyor. Kaynak: https://techcrunch.com/2026/07/27/microsoft-launches-its-first-cyber-model-and-a-new-agentic-cybersecurity-system/ ve https://www.cnbc.com/2026/07/27/nvidia-and-openai-in-talks-for-up-to-250-billion-dollar-ai-backstop.html
• Rising entities: Google, Claude, OpenAI, AI Agents ve RAG sinyalleri onceki learning artifact ile uyumlu; bugun Google AI Search ve AWS TAKC bu trendi destekledi. Kaynak: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/ ve https://aws.amazon.com/blogs/machine-learning/beyond-rag-task-aware-knowledge-compression-for-enterprise-ai-on-aws/
• Tekrar eden kor nokta: Search akisi aggregator linklerine dayaniyor; raporda canonical kaynagi olan maddeler once tercih edildi. Kaynak: https://www.infoq.com/news/2026/07/netflix-llm-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Operasyonel ders: Social collector cok yuksek hacim uretse de guvenilir haber yerine topic discovery icin kullanilmali. Kaynak: https://mastodon.social/@beyondthecode/116993400235827345

Dedupe & Kalite Notu

Bu rapordaki ana haberler onceki 3 gunun raporlarindan elendi ve semantik/fingerprint dedupe sonrasi secildi. Toplam 6.604 raw item islendi; merge sonrasi 6.090 kayit, dedupe sonrasi 2.359 unique item, filtre sonrasi 2.111 raporlanabilir item kaldi.

Dedupe sonucu: 3.722 fingerprint tekrar, 9 semantik tekrar, 248 signal-only item ana kaynak olarak kullanilmadi. Kaynak seciminde canonical blog/haber/arXiv URL'leri, Google News ve sosyal fallback linklerine tercih edildi.