Oracle Gece Arastirma v3 - 2026-08-04

Curate eden: Mahsum Aktaş · Günlük otomatik AI sektör taraması

Oracle Gece Arastirma v3 - 2026-08-04

Otomatik derleme | v3 pipeline | 6.704 raw item | 4.082 input unique | 3.811 raporlanabilir item | 105 benzersiz kaynak | 5/5 kaynak ailesi

Gunun Ozeti

Bugunun ana ekseni agent ve model yarismasinin "demo"dan runtime, compliance ve operasyonel maliyet katmanina kaymasi oldu. OpenAI GPT-Live icin turnless voice mimarisini anlatti; Alibaba Qwen3.8-Max ile open-weight cephede frontier sinyal verdi; AWS Bedrock ise agentic data ops ve formal policy refinement tarafini guclendirdi. Kaynaklar: https://openai.com/index/continuous-voice-interaction-with-gpt-live ve https://the-decoder.com/alibabas-open-weight-qwen3-8-max-takes-on-long-horizon-ai-tasks-with-2-4-trillion-parameters/ ve https://aws.amazon.com/blogs/machine-learning/automated-reasoning-policy-refinement-in-amazon-bedrock/

Guvenlikte yeni hikaye "AI daha fazla bug buluyor" degil, "AI bulgu hacmi ve agent davranisi governance'i zorluyor" oldu: IBM access-control eksigini, The Register CVE pipeline slop sorununu, Docker ise agent kararlarinin SIEM'e akan audit log ihtiyacini one cikardi. Kaynaklar: https://the-decoder.com/ibm-finds-92-of-companies-hit-by-ai-security-breaches-lacked-basic-access-controls/ ve https://www.theregister.com/security/2026/08/03/ai-slop-pollutes-the-cve-pipeline-with-fake-vulns/5282462 ve https://www.docker.com/blog/docker-ai-governance-audit-logs-now-where-your-security-team-already-works/

Top 7

1. OpenAI GPT-Live icin 6 ayda kurulan realtime voice mimarisini paylasti; turnless speech model ve dusuk gecikmeli sistem, voice agent'larin chat arayuzunden farkli runtime ihtiyaci oldugunu gosteriyor. Kaynak: https://openai.com/index/continuous-voice-interaction-with-gpt-live
2. Alibaba Qwen3.8-Max, 2.4T parametreli MoE ve long-horizon task anlatimiyla ABD-CK open-weight rekabetini yeniden yukari cekti. Kaynak: https://the-decoder.com/alibabas-open-weight-qwen3-8-max-takes-on-long-horizon-ai-tasks-with-2-4-trillion-parameters/
3. AWS, Formula 1 veri operasyonlarini Bedrock AgentCore ile haftalardan dakikalara indiren Data Accelerator ornegini yayinladi; enterprise agent degeri artik data onboarding hizinda olculuyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/from-weeks-to-minutes-how-formula-1-uses-agentic-ai-on-aws-to-accelerate-data-operations/
4. Amazon Bedrock Automated Reasoning policy refinement, failing testlerden formal-logic policy duzeltmesi oneren bir katman ekledi; guardrail yazimi manuel YAML isinden test-diagnosis dongusune kayiyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/automated-reasoning-policy-refinement-in-amazon-bedrock/
5. White House, AI sirketleriyle model-testing framework toplantisi yapiyor; cyber capability degerlendirmesi ABD tarafinda voluntary ama merkezi bir denetim hattina donusuyor. Kaynak: https://www.cnbc.com/2026/08/03/white-house-ai-companies-voluntary-framework-meeting.html
6. NVIDIA, shared GPU altyapisinda tenant izolasyonu icin Kubernetes cluster pattern'i anlatti; GPU kullaniminda izolasyon-maliyet dengesi yeni platform sorunu. Kaynak: https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/
7. TokTier, Zero-Mem ve ResKV gibi yeni paper'lar agent serving maliyetini tokenization, memory operation ve KV cache seviyesinde ele aliyor; agent performansi model zekasindan cok state tasima verimliligine baglaniyor. Kaynaklar: https://arxiv.org/abs/2607.29678 ve https://arxiv.org/abs/2607.29377 ve https://arxiv.org/abs/2607.29591

TRENDS

• Spike: Qwen, AI Regulation, GPT-4o ve o1 trend penceresinde yukari cikti; Qwen sinyali bugun model lansmani, sosyal tartisma ve inference provider yazilariyla desteklendi. Kaynak: https://www.cnbc.com/2026/08/03/alibaba-ai-model-qwen-rival-anthropic.html
• Yukselis: Anthropic, Cohere, DeepSeek, Llama ve Runway halen trend penceresinde canli; bugun ozellikle Anthropic/OpenAI/Google White House ve EU AI Act baglaminda geciyor. Kaynak: https://www.cnbc.com/2026/08/03/eu-ai-act-enforcement-powers.html
• Azalis: AI Safety, Amazon, Flux, Haiku ve NVIDIA toplam hacimde dusus gosteriyor; buna ragmen NVIDIA bugun altyapi izolasyonu ve GPU financing tartismalariyla nitelikli sinyal verdi. Kaynak: https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/

KAT-1 - LLM & Model Guncellemeleri

• Alibaba Qwen3.8-Max, "frontier open-weight" anlatimini yeniden canlandirdi; The Verge bunu ABD AI supremacy'sine dogrudan meydan okuma olarak okudu. Kaynak: https://www.theverge.com/ai-artificial-intelligence/974342/alibaba-qwen-max-open-weight-ai
• CNBC, Qwen3.8-Max duyurusunun Alibaba hisselerinde ralli yarattigini ve ABD-CK rekabet anlatimini guclendirdigini yazdi. Kaynak: https://www.cnbc.com/2026/08/03/alibaba-ai-model-qwen-rival-anthropic.html
• TechCrunch, Apple'in yeni Siri seviyesinin artik "iyi assistant" olmanin bile yeterli olmadigi bir pazara geldigini yazdi. Kaynak: https://techcrunch.com/2026/08/03/apple-finally-fixed-siri-so-why-does-it-feel-anticlimactic/

KAT-2 - Agent & Urun Operasyonlari

• Formula 1, AWS ile Data Accelerator kurarak MarTech data source onboarding surecini agentic AI ile hizlandirdi; bu, enterprise agent ROI icin guclu bir vaka. Kaynak: https://aws.amazon.com/blogs/machine-learning/from-weeks-to-minutes-how-formula-1-uses-agentic-ai-on-aws-to-accelerate-data-operations/
• InfoQ, Microsoft Agent Framework Harness ve Hosted Agents'in GA oldugunu yazdi; agent framework rekabeti SDK'dan hosted runtime'a kayiyor. Kaynak: https://www.infoq.com/news/2026/08/agent-framework-harness-ga/
• Embabel 1.0, Java/Kotlin tarafinda typed domain object yaklasimiyla Spring AI uzerinde agent gelistirmeyi hedefliyor. Kaynak: https://www.infoq.com/news/2026/08/embabel-1/

KAT-3 - Guvenlik

• IBM verisine gore AI security breach yasayan sirketlerin yuzde 92'sinde temel access control eksigi var; model zafiyetinden once identity ve permission hygiene bozuluyor. Kaynak: https://the-decoder.com/ibm-finds-92-of-companies-hit-by-ai-security-breaches-lacked-basic-access-controls/
• The Register, AI-generated sahte vuln raporlarinin CVE pipeline'ini kirlettigini yazdi; bu onceki gunlerdeki bug bounty slop temasinin daha merkezi CVE surecine yansimasi. Kaynak: https://www.theregister.com/security/2026/08/03/ai-slop-pollutes-the-cve-pipeline-with-fake-vulns/5282462
• JFrog, "SQLite Critical CVEs or LLM Slop?" basligiyla LLM kaynakli sahte acik raporlarini teknik olarak tartisti. Kaynak: https://research.jfrog.com/post/sqlite-critical-cves-or-llm-slops/

KAT-4 - Arastirma & Paper'lar

• Zero-Mem, agent memory operasyonlarini ek LLM cagrisi veya token maliyeti olmadan yurutmeyi hedefliyor; uzun oturumlu agent icin maliyet duvari dusurulebilir. Kaynak: https://arxiv.org/abs/2607.29377
• TokTier, agentic LLM serving'de full request re-tokenization maliyetini stateful tokenization ile azaltmayi hedefliyor. Kaynak: https://arxiv.org/abs/2607.29678
• GoldenRetriever, privacy-preserving RAG icin non-interactive homomorphic encrypted retrieval oneriyor; kurum ici bilgi cekme hattinda gizlilik vaadi gucleniyor. Kaynak: https://arxiv.org/abs/2607.29019
• The Self-Correction Illusion, LLM agent'larin kendi reasoning trace hatalarini duzeltmede rol etiketlemesine fazla bagli kalabildigini gosteriyor. Kaynak: https://arxiv.org/abs/2606.05976

KAT-5 - Regulasyon & Politika

• White House, gelismis modellerin cyber capability test framework'unu AI sirketleriyle goze aliyor; OpenAI, Anthropic ve Google'in katilimi bekleniyor. Kaynak: https://www.cnbc.com/2026/08/03/white-house-ai-companies-voluntary-framework-meeting.html
• CNBC, EU AI Act kapsaminda Avrupa Komisyonu'nun model inceleme, market access kisitlama ve cirosal para cezasi yetkilerini vurguladi; bugunku yeni aci enforcement power. Kaynak: https://www.cnbc.com/2026/08/03/eu-ai-act-enforcement-powers.html
• TechCrunch ve CNBC, ChatGPT'nin ABD Kongresi'nde erken AI harcamalarinda baskin oldugunu yazdi; policy yapan kurumlar ayni anda AI musterisi haline geliyor. Kaynaklar: https://techcrunch.com/2026/08/03/congresss-favorite-ai-tool-chatgpt/ ve https://www.cnbc.com/2026/08/03/openai-chatgpt-anthropic-congress-house-ai-spending.html

KAT-6 - Veri & Altyapi

• NVIDIA'in shared GPU Kubernetes yazisi, multi-tenant isolation ihtiyacini dedicated cluster maliyeti olmadan cozme arayisini anlatiyor. Kaynak: https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/
• Docker AI Governance audit logs, agent policy kararlarini SIEM'e aktararak "agent ne yapti?" sorusunu security workflow'una bagliyor. Kaynak: https://www.docker.com/blog/docker-ai-governance-audit-logs-now-where-your-security-team-already-works/
• ResKV, fixed-budget KV cache compression'da atilan token katkilarini yeniden kurmayi oneriyor; long-context inference maliyeti icin pratik bir hat. Kaynak: https://arxiv.org/abs/2607.29591

KAT-7 - Endustri & Sirketler

• Visa, BioCatch'i 2.4 milyar dolara satin alarak AI-powered scam ve fraud detection cephesini buyuttu. Kaynak: https://www.cnbc.com/2026/08/03/visa-buys-biocatch-fraud-detection.html
• Palantir, AI yazilim talebiyle beklenti ustu ceyrek acikladi ve ABD commercial revenue tarafinda sert buyume bildirdi. Kaynak: https://www.cnbc.com/2026/08/03/palantir-pltr-earnings-q2-2026.html
• Snap hissesi, earnings beat ve satis forecast gucuyle yukari tepki verdi; consumer platformlar AI ve reklam gelirini ayni tabloda tasiyor. Kaynak: https://www.cnbc.com/2026/08/03/snap-q2-earnings-report-2026.html

KAT-8 - Open Source & Tooling

• airllm, 70B model inference'i tek 4GB GPU ile calistirma iddiasiyla GitHub Trending'de one cikti; local inference maliyeti hala buyuk tema. Kaynak: https://github.com/lyogavin/airllm
• Agent-Reach, agent'lara Twitter, Reddit, YouTube, GitHub ve baska kaynaklari API'siz okutma vaadiyle trend oldu; agent internet baglanti katmani parcalaniyor. Kaynak: https://github.com/Panniantong/Agent-Reach
• DeepSeek-Reasonix, prefix-cache stability odakli DeepSeek-native terminal coding agent olarak listede. Kaynak: https://github.com/esengine/DeepSeek-Reasonix
• DS4, DeepSeek 4 Flash ve PRO icin Metal/CUDA/ROCm native inference engine olarak trend sinyali verdi. Kaynak: https://github.com/antirez/ds4

KAT-9 - Multimodal, Robotik & Edge

• GPT-Live voice mimarisi, realtime speech-to-speech uygulamalarin rigid turn-taking modelinden cikmasi gerektigini gosteriyor. Kaynak: https://openai.com/index/continuous-voice-interaction-with-gpt-live
• YazSes, offline ve privacy-first hold-to-talk voice dictation sistemi olarak cloud speech'e karsi edge alternatif oneriyor. Kaynak: https://arxiv.org/abs/2607.28878
• BWM, robot learning icin low-cost high-fidelity world simulator oneriyor; risky action consequences fiziksel donanimdan once simule edilmeye calisiliyor. Kaynak: https://arxiv.org/abs/2607.29302
• D-VLC, bilinmeyen ortamlarda heterogeneous embodied multi-robot sistemler icin vision-language collaboration oneriyor. Kaynak: https://arxiv.org/abs/2607.29009

SECURITY

• AgenticRepair, vulnerability repair icin multi-faceted program context engineering oneriyor; AI patching sadece diff uretmek degil, triage raporu ve kod baglamini dogru paketlemek. Kaynak: https://arxiv.org/abs/2607.29422
• ScopeJudge, offensive security agent'larda out-of-scope tool call riskini pre-execution gating ile azaltmayi hedefliyor. Kaynak: https://arxiv.org/abs/2607.07774
• PTP, previous-token prediction ile prompt reconstruction riskini inceliyor; generated output'tan prompt tersine muhendisligi bir privacy alarmi. Kaynak: https://arxiv.org/abs/2607.29378

REGULATION

• California AI transparency law haberi, ABD'de federal framework disinda eyalet seviyesinde disclosure baskisinin da arttigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiiwFBVV95cUxPaXl2c1pkdjZpZnEwc0Y3MjBpYU1pT0c1djFKTlhFOGtwaTFfOEZsOVpRWDFLT2VyYm1Jb3MyV1BGMG1UV0Q5N3d2X3NOYW9CVkJCNUZuamZ1dXRZd0VsLXVxQWRaczctU29KSm9FekpnazhYSF9USjE5R3l5aExxYWdvVFFEUlRjQ28w?oc=5
• EU AI Act Article 50 transparency kurallari haber akisini domine etti; ancak bugunku raporda tekrar sayilmamasi icin ana vurgu enforcement powers ve finans kurumlari compliance riskine verildi. Kaynak: https://news.google.com/rss/articles/CBMi1AFBVV95cUxOVmhFOEtOMkoyTDhsdTY4MlBubkdJd1lta2xzbXRzX2N4NGZTWTlocVFlYVIwVTExWUZXa0RRQXp1VkxiRW5aYnhNSlpkU1Z0ZkFnMm95SDZtWU1Oal9WbndfTGx2SmJHNEFSdGhDWUNhVWxsX0Nsa3FNejNvQk1VTXhTYURxbnNmRzRpcUg0VUMtSWhzQnI1d2FMMFlWVnhjNzFwWGctV3J0cnpwSV9JMlBHc3QzS2lFQXdLODZ4U0Q4MDR3OVQ4VVRrNGRPdG10VEJoYw?oc=5

AI-SCIENCE

• Can AI Evaluate AI Scientists?, autonomous research generation sistemlerini multi-model automated review ile benchmarklamayi oneriyor; AI bilim uretecekse evaluator katmani da ayrica test edilmeli. Kaynak: https://arxiv.org/abs/2607.28631
• SciToolAgent-Evo, open-world scientific tool acquisition icin ontology-aware self-evolving agent oneriyor; bilimsel agent'larin tool envantari statik kalmayacak. Kaynak: https://arxiv.org/abs/2607.28692
• EMBL AI Librarian, life-sciences agent'lari icin literatur tabanli knowledge layer ihtiyacini vurguluyor. Kaynak: https://huggingface.co/papers/2607.28229

INFRA

• TokTier ve ResKV birlikte bakilinca agent serving darboğazi tokenizer, KV cache ve state management seviyesinde gorunuyor. Kaynaklar: https://arxiv.org/abs/2607.29678 ve https://arxiv.org/abs/2607.29591
• NVIDIA GPU isolation yazisi, agent ve model serving ortamlarinda tenant bazli izolasyonun artik maliyet optimizasyonu kadar security konusu oldugunu gosteriyor. Kaynak: https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/

SAFETY

• Token-Level Diagnosis of Sycophancy, modelin kullanici inancina uyma davranisini token seviyesinde teshis edip steering ile azaltmayi hedefliyor. Kaynak: https://arxiv.org/abs/2607.28906
• Sycophancy Undermines Epistemic Vigilance, cooperative vision-language tasklerde uyumlu gorunmenin epistemik kontrolu zayiflattigini gosteriyor. Kaynak: https://arxiv.org/abs/2607.29585
• Best Friends, Not Forever, AI companion'larda long-horizon persona collapse ve behavioral drift'i test ediyor. Kaynak: https://arxiv.org/abs/2607.28818

WATCHLIST

• Qwen3.8-Max adoption: Nathan Lambert'in sosyal sinyali, onceki Qwen buyuk modellerinin API adoption'inin sinirli kaldigini ama bu lansmanda lisans ve adoption dashboard'larin daha yakindan izlenecegini soyluyor. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE5uUVNHT0FYY1hOeG9BcVJSbF9UOWZ3NFpDd3BwbzBMZVN2aVIxQ0VoRllJMEFVSnNlcWo5T3JYVHYzdTl3VGxCeTRzWVh1M1JoNS1qMi1oaTZ0SVZVdktvU3B3?oc=5
• Agent security funding: Zenity'nin 125 milyon dolar Series C haberi, runtime agent security pazarinin hizlandigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiaEFVX3lxTE1qdUF4bW5xbERQREdxNExQSU1QX2RIeld0bXJudlJBMTlGX1BPWXpic2k0ekpTT3BTcUFMa3VjN0VidUtGQmlWQ0NxMHpWYXVtc3hMMFpWOG1FSUg1cXVWTUVBdjJabm9w?oc=5
• Deepfake security M&A: Deel'in Clarity satin almasi, deepfake defense'in HR/identity workflow'una girmeye basladigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiaEFVX3lxTFB0dUhrZTVJcTkzTFE1U1VBVzYxem9jc0RKSFMtank1RGZEN19EU1c5VElRaFRpU1I3blRkajNHd19IangyOHBJWUJTckdBOHN5U2owZkpOQWEycmlDdWpVNDBpWWR6TzA5?oc=5

CikCik Paketi

• CikCik icin ana tema: "Qwen3.8-Max acik agirlik yarisi degil, adoption savasi." Sosyal gerekce Nathan Lambert'in "pending license, adoption'a bakmak gerek" notu. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE5uUVNHT0FYY1hOeG9BcVJSbF9UOWZ3NFpDd3BwbzBMZVN2aVIxQ0VoRllJMEFVSnNlcWo5T3JYVHYzdTl3VGxCeTRzWVh1M1JoNS1qMi1oaTZ0SVZVdktvU3B3?oc=5
• "Agent security artik urun ozelligi degil, runtime sigortasi" acisi icin Docker AI Governance ve HiddenLayer Agent Harness Security iyi kaynak. Kaynaklar: https://www.docker.com/blog/docker-ai-governance-audit-logs-now-where-your-security-team-already-works/ ve http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a7108a1144249af8e10edb01af309e0&url=https%3a%2f%2fwww.aol.com%2farticles%2fhiddenlayer-unveils-agent-harness-security-150000000.html&c=16531256284356133216&mkt=tr-tr
• "LLM'ler uzmanligi degersizlestirmiyor, uzmanin kaldiracini arttiriyor" tartismasi HN/Mastodon sinyalinde yukseliyor. Kaynak: https://mastodon.social/@h4ckernews/117033646118140697
• "Kucuk uzman modeller orkestrasyonu, tek dev model yerine yeni mimari olabilir" Threadverse tarafindan guzel bir tartisma ciktisi. Kaynak: https://mastodon.social/@threadverse/117032858078556893
• "Codebase wiki memory" acisi CodeAlmanac sinyalinde pratik urunlesme buluyor; agent'larin uzun hafizasi repo seviyesinde wiki'ye donusuyor. Kaynak: https://mastodon.social/@camilleroux/117031935034618800

Oracle Self-Improvement Sinyalleri

• Pipeline bugun 5/5 kaynak ailesini kapatti; eksik family yok. Source family coverage guclu ama social aile 2.494 unique item ile baskin, bu yuzden raporlamada sosyal sinyaller ana kanit degil, destek sinyali olarak tutulmali. Kaynak: raw-sources/2026-08-04/unique.json
• Search akisi hala Google News aggregator URL'lerine dayaniyor; canonical URL cozumleme bir sonraki iyilestirme adimi olmali. Kaynak: raw-sources/2026-08-04/search.json
• Reddit tarafinda 403/429 tekrar etti; community collector icin alternatif Reddit proxy/API veya HN/Lobsters agirliklandirma gerekir. Kaynak: raw-sources/2026-08-04/community.json
• Dedupe adimi 6.108 inputta uzun surdu ama tamamlandi; social fallback hacmi artarsa fuzzy dedupe icin source-family bazli prefilter eklenmeli. Kaynak: raw-sources/2026-08-04/merged.json

Kaynak Ozeti

• RSS/news: 1.001 reportable raw item, 210 unique; en baskin guvenilir kaynaklar DonanimHaber, Planet AI ve Nikkei Asia oldu. Kaynak: raw-sources/2026-08-04/rss.json
• Search: 517 raw item, 362 unique; Google News AI/companies/releases akislari baskin. Kaynak: raw-sources/2026-08-04/search.json
• Community: 40 raw item, 53 unique; GitHub Trending, Lobsters ve HN sinyal verdi, Reddit bloklandi. Kaynak: raw-sources/2026-08-04/community.json
• Social: 4.070 raw item, 2.494 unique; X fallback ve Mastodon ana sosyal sinyal kaynagi oldu. Kaynak: raw-sources/2026-08-04/social.json
• Academic/API: 653 raw item, 692 unique; arXiv cs.AI, cs.CV ve cs.LG agirlikli. Kaynak: raw-sources/2026-08-04/academic.json

Coverage / Blind Spots

• Coverage: families_expected 5, families_covered 5; missing_families yok, empty_topics yok. Kaynak: raw-sources/2026-08-04/unique.json
• Thin family yok ama community ve search tarafinda dis kaynak bloklari var: Reddit 403/429, Semantic Scholar 429, PapersWithCode parse hatasi. Kaynaklar: raw-sources/2026-08-04/community.json ve raw-sources/2026-08-04/academic.json
• Baskin topicler: Launches 1.254, Models 1.147, Regulation 985, Agents 443, Tooling 413. Bu, raporun model/agent/regulation uclusune agirlik vermesini hakli kiliyor. Kaynak: raw-sources/2026-08-04/unique.json

Bu Gece Sistem Ne Ogrendi

• Onceki learning artifact "Launches, Regulation, Models" yogunlugunu soyluyordu; bugun ayni desen Qwen3.8-Max, White House framework ve GPT-Live ile dogrulandi. Kaynaklar: https://the-decoder.com/alibabas-open-weight-qwen3-8-max-takes-on-long-horizon-ai-tasks-with-2-4-trillion-parameters/ ve https://www.cnbc.com/2026/08/03/white-house-ai-companies-voluntary-framework-meeting.html ve https://openai.com/index/continuous-voice-interaction-with-gpt-live
• Kalici ders: agent sistemlerinde "memory" tek bir ozellik degil; Zero-Mem, TokTier, TransMem ve CodeAlmanac gibi sinyaller memory'nin runtime, serving, codebase wiki ve personalization seklinde ayrildigini gosteriyor. Kaynaklar: https://arxiv.org/abs/2607.29377 ve https://arxiv.org/abs/2607.29678 ve https://arxiv.org/abs/2607.29032 ve https://mastodon.social/@camilleroux/117031935034618800
• Kalici ders: AI security olaylarinda model kabiliyeti kadar access control, audit log, scope gate ve fake-report filtreleme katmanlari kritik. Kaynaklar: https://the-decoder.com/ibm-finds-92-of-companies-hit-by-ai-security-breaches-lacked-basic-access-controls/ ve https://www.docker.com/blog/docker-ai-governance-audit-logs-now-where-your-security-team-already-works/ ve https://arxiv.org/abs/2607.07774

Dedupe & Kalite Notu

Bu rapordaki maddeler onceki 3 gun raporlarindaki ana tekrarlar disarida tutularak secildi. EU AI Act transparency ve AI slop temalari tekrar sinyal verdigi icin yalnizca yeni acilari, yani enforcement powers, CVE pipeline ve access-control taraflari raporlandi.

Dedupe sonucu: 6.704 raw item toplandi; 6.108 merged input uzerinden 4.082 input unique ve 3.811 raporlanabilir item elde edildi. 2.020 fingerprint tekrar ve 6 semantik tekrar atildi.