Oracle Gece Arastirma - 2026-06-27

Curate eden: Mahsum Aktaş · Günlük otomatik AI sektör taraması

Oracle Gece Arastirma - 2026-06-27

Otomatik derleme | v3 pipeline | 6.661 ham kaynak | 1.928 benzersiz item | 100 kaynak | 49 trend topic

Gunun Ozeti

Bugunun ana ekseni model erisiminin politiklesmesi, agent altyapisinin guvenliklesmesi ve arastirma tarafinda self-improving/multimodal agent mimarileriydi. OpenAI GPT-5.6 Sol'u duyururken ABD hukumeti kaynakli "trusted partner" erisim modeli gunun en buyuk regulasyon sinyali oldu. Agent tarafinda Vercel Eve, Dapr verifiable execution, AWS Agent Toolkit ve MCP poisoning calismalari "agent app"ten "agent control plane"e gecisi hizlandirdi. Arastirma tarafinda Red Queen Godel Machine, Qwen-Image-Agent, ProtoKV ve ShareLock yuksek sinyal verdi.

Top 7

1. OpenAI, GPT-5.6 Sol'u sinirli preview ile duyurdu; ayni anda ABD hukumeti talebiyle erisimin musteri bazinda kisitlanmasi model dagitiminda yeni politik rejim sinyali. Kaynak: https://openai.com/index/previewing-gpt-5-6-sol ve https://techcrunch.com/2026/06/26/openai-limits-gpt-5-6-rollout-after-government-request-says-restrictions-shouldnt-be-the-norm/
2. Vercel, AI agent gelistirme ve operasyonu icin open-source Eve framework'unu cikardi; production agent framework pazari kalabaliklasiyor. Kaynak: https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
3. Dapr 1.18, AI agent ve workflow'lar icin cryptographic trust/provenance katmani olan Verifiable Execution'i duyurdu. Kaynak: https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-ai/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
4. Linux Foundation ve teknoloji ortaklari Akrites'i baslatti; hedef, AI destekli saldirilar buyumeden open-source zafiyetlerini onarmak. Kaynak: https://the-decoder.com/linux-foundation-and-20-tech-giants-launch-akrites-to-fix-open-source-flaws-before-ai-powered-attacks-hit/
5. Red Queen Godel Machine paper'i, self-improving agent'larda agent ve evaluator'un birlikte evrilmesi fikrini one cikardi. Kaynak: https://arxiv.org/abs/2606.26294
6. Qwen-Image-Agent, underspecified gercek dunya image generation isteklerinde context gap'i agent yaklasimiyla kapatmayi hedefliyor. Kaynak: https://arxiv.org/abs/2606.26907
7. ShareLock paper'i, MCP ortaminda multi-tool threshold poisoning saldirisini tarif ederek agent tool ekosisteminin yeni risk yuzeyini netlestirdi. Kaynak: https://arxiv.org/abs/2606.27027

TRENDS

Launches 957 mention ile gunun en yogun temasi; Regulation 851, Models 637, Agents 269, Tooling 263 mention ile takip etti. 7 gunluk pencerede AI Regulation, AI Safety, Amazon, Apple ve Autonomous spike; AI Agents, Anthropic, Claude, Cohere yukselis trendinde. Kaynak: https://techcrunch.com/2026/06/26/openai-limits-gpt-5-6-rollout-after-government-request-says-restrictions-shouldnt-be-the-norm/

KAT-1 - LLM & Model Guncellemeleri

• GPT-5.6 Sol, frontier sinif preview olarak konumlandi; model kalitesi kadar erisim rejimi de urunun parcasi oldu. Kaynak: https://openai.com/index/previewing-gpt-5-6-sol
• OpenAI'nin yeni modelleri "trusted partners" ile sinirlamasi, model release stratejisinde ulusal guvenlik filtresini ana degisken haline getiriyor. Kaynak: https://www.cnbc.com/2026/06/26/openai-limits-new-ai-models-to-trusted-partners-request-us-government.html
• Ornith-1.0-35B ve GGUF varyanti Hugging Face trendlerinde; open-weight coding/agent modeli denemeleri suruyor. Kaynak: https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B ve https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B-GGUF
• "When are likely answers right?" paper'i, LLM sequence probability ile cevap dogrulugu arasindaki iliskiyi inceliyor; decoding ve confidence kalibrasyonu icin izlenmeli. Kaynak: https://arxiv.org/abs/2606.27359

KAT-2 - Arastirma & Paper'lar

• Red Queen Godel Machine, self-improving agent'larin evaluator ile beraber evrilmesi gerektigini savunuyor; Oracle self-evolution icin dogrudan relevant. Kaynak: https://arxiv.org/abs/2606.26294
• CARVE, chunk-parallel linear attention icin content-aware recurrent/value efficient yaklasim oneriyor; long-context verimlilik hattinda izlenmeli. Kaynak: https://arxiv.org/abs/2606.27229
• Decision-Aligned Evaluation of Uncertainty Quantification, belirsizlik metriklerini downstream karar kalitesiyle hizalamayi hedefliyor. Kaynak: https://arxiv.org/abs/2606.26990
• Temporal Validity in Retrieval Memory, agent memory sistemlerinde stale fact hatalarini azaltmaya odaklaniyor. Kaynak: https://arxiv.org/abs/2606.26511

KAT-3 - Araclar & Framework'ler

• Vercel Eve, filesystem tabanli agent project yapisi ve production operasyonu iddiasiyla geldi. Kaynak: https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Dapr 1.18 Verifiable Execution, agent workflow'larinda provenance ve tamper-evident execution ihtiyacina cevap veriyor. Kaynak: https://www.infoq.com/news/2026/06/dapr-1-18-cryptographic-ai/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• AWS Agent Toolkit, AWS uzerinde AI agent'lar icin MCP server, skill ve plugin setini tek repoda topluyor. Kaynak: https://github.com/aws/agent-toolkit-for-aws
• Apple container, Apple Silicon uzerinde Linux container'lari lightweight VM olarak calistiran Swift tabanli open-source arac olarak one cikti. Kaynak: https://www.marktechpost.com/2026/06/26/meet-container-apples-open-source-swift-tool-for-running-linux-containers-as-lightweight-vms-on-apple-silicon/
• MinerU, PDF/Office dokumanlarini LLM-ready markdown/JSON'a ceviren agentic workflow araci olarak GitHub trendlerinde. Kaynak: https://github.com/opendatalab/MinerU

KAT-4 - Acik Kaynak

• Akrites, AI-enabled open-source vulnerability dalgasina karsi Linux Foundation koordinasyonunda baslatildi. Kaynak: https://the-decoder.com/linux-foundation-and-20-tech-giants-launch-akrites-to-fix-open-source-flaws-before-ai-powered-attacks-hit/
• Alibaba page-agent, web arayuzlerini dogal dille kontrol eden JavaScript in-page GUI agent denemesi. Kaynak: https://github.com/alibaba/page-agent
• every-app/open-seo, Semrush/Ahrefs alternatifi open-source SEO araci olarak trendlerde. Kaynak: https://github.com/every-app/open-seo
• CasaOS, self-hosted personal cloud icin GitHub trend sinyali verdi. Kaynak: https://github.com/IceWhaleTech/CasaOS
• AWS Agent Toolkit'in open-source MCP/skill/plugin paketi agent platformlarinda cloud vendor lock-in riskini de gundeme getiriyor. Kaynak: https://github.com/aws/agent-toolkit-for-aws

KAT-5 - Endustri & Sirketler

• OpenAI, Uber India chief'i Hindistan operasyonunun basina aldi; Hindistan, ABD disindaki en buyuk pazar olarak konumlanmaya devam ediyor. Kaynak: https://techcrunch.com/2026/06/26/openai-poaches-uber-india-chief-to-lead-its-biggest-market-outside-the-u-s/
• OpenAI IPO zamanlamasinin 2027'ye kayabilecegi ve $1T altinda halka arz istemedigi iddia edildi. Kaynak: https://the-decoder.com/altman-wont-go-public-for-less-than-1-trillion-so-openais-ipo-may-slip-to-2027/
• CNBC, OpenAI'nin henuz pre-IPO investor meeting/timeline belirlemedigini aktardi; AI trade anlatisi finans tarafinda daha fazla kanit istiyor. Kaynak: https://www.cnbc.com/2026/06/26/open-ai-ipo-timeline-investors.html
• Nvidia ve Alphabet, megacap tech toparlanmasindan ayrisirken chip hisselerinde AI infrastructure cost baskisi gorundu. Kaynak: https://www.cnbc.com/2026/06/26/global-tech-stocks-ai-infrastructure-costs-selloff-softbank-apple.html

KAT-6 - AI Agent'lar

• A Deterministic Control Plane for LLM Coding Agents, agentic coding icin deterministik kontrol katmani oneriyor. Kaynak: https://arxiv.org/abs/2606.26924
• Empowering GUI Agents, GUI agent'larda autonomous experience exploration ve hindsight utilization ile task planning'i iyilestirmeyi hedefliyor. Kaynak: https://arxiv.org/abs/2606.27330
• Confidence-Aware Tool Orchestration, video understanding modellerinde tool cagrilarini guven skoruyla yoneterek blind trust problemini hedefliyor. Kaynak: https://arxiv.org/abs/2606.26904
• Autoformalization of Agent Instructions into Policy-as-Code, agent talimatlarini enforce edilebilir policy'lere cevirme hattini arastiriyor. Kaynak: https://arxiv.org/abs/2606.26649
• The Verification Horizon, coding agent reward'lari icin tek bir silver bullet olmadigini savunan benchmark/evaluation sinyali. Kaynak: https://arxiv.org/abs/2606.26300

KAT-7 - Multimodal

• Qwen-Image-Agent, image generation isteklerinde eksik context'i agent planlama ile tamamlamayi deniyor. Kaynak: https://arxiv.org/abs/2606.26907
• ReasonCLIP-58M, CLIP icin visually grounded commonsense reasoning supervision getiriyor. Kaynak: https://arxiv.org/abs/2606.26794
• ProtoKV, streaming video understanding icin delayed query ve summary-state memory mimarisi oneriyor. Kaynak: https://arxiv.org/abs/2606.26762
• PhysRAG, video generation modellerinde fizik farkindaligini retrieval ile artirmayi hedefliyor. Kaynak: https://arxiv.org/abs/2606.26916
• LiveEdit, diffusion-based real-time streaming video editing icin stabil arka plan ve non-edit bolge koruma sorununa odaklaniyor. Kaynak: https://arxiv.org/abs/2606.26740

KAT-8 - Robotik & Embodied AI

• OctoSense, multimodal robot perception icin self-supervised learning yaklasimi sunuyor. Kaynak: https://arxiv.org/abs/2606.27317
• WatchAct, behavior-grounded robot manipulation benchmark'i olarak izlenmeli. Kaynak: https://arxiv.org/abs/2606.26443
• PressMimic, humanoid robot imitation icin pressure-guided motion capture/control kullaniyor. Kaynak: https://arxiv.org/abs/2606.26741
• OmniRobotHome, multi-camera ev ortami platformuyla real-time human-robot interaction dataset/testbed sunuyor. Kaynak: https://arxiv.org/abs/2604.28197
• World Action Models, recurrent generative replay ile continual imitation learning hedefliyor. Kaynak: https://arxiv.org/abs/2606.27374

KAT-9 - Edge, Veri & Altyapi

• Apple container, Mac uzerinde lightweight VM temelli container deneyimini gelistirerek local dev/agent sandbox tarafinda kullanisli olabilir. Kaynak: https://www.marktechpost.com/2026/06/26/meet-container-apples-open-source-swift-tool-for-running-linux-containers-as-lightweight-vms-on-apple-silicon/
• NVIDIA AI-Q Blueprint'in Oracle Cloud uzerinde production-ready deployment rehberi yayinlandi. Kaynak: https://developer.nvidia.com/blog/deploy-a-production-ready-nvidia-ai-q-blueprint-on-oracle-cloud-infrastructure/
• PersistentKV, commodity GPU'larda long-context LLM serving icin page-aware decode scheduling oneriyor. Kaynak: https://arxiv.org/abs/2606.26666
• Dot-Flik, distributed insect monitoring icin scalable edge AI architecture sunuyor. Kaynak: https://arxiv.org/abs/2606.26121
• CoVStream, long video streams icin edge-cloud collaborative understanding mimarisi oneriyor. Kaynak: https://arxiv.org/abs/2606.22804

SECURITY

• ShareLock, MCP tool ortaminda threshold poisoning saldirisini gosteriyor; MCP skill/tool guvenligi icin kirmizi bayrak. Kaynak: https://arxiv.org/abs/2606.27027
• Secure Code Warrior CEO'su, AI-generated code yuzunden "vulnerability apocalypse" riskini vurguladi. Kaynak: https://www.computerweekly.com/news/366645144/Secure-Code-Warrior-CEO-on-surviving-the-AI-vulnerability-apocalypse
• Agents That Know Too Much, LLM agent'larda privacy riskini data-centric survey olarak topluyor. Kaynak: https://arxiv.org/abs/2606.26627
• MIRROR, agentic RAG sistemlerini novelty-constrained memory-guided MCTS red-teaming ile test ediyor. Kaynak: https://arxiv.org/abs/2606.26793
• Akrites, open-source zafiyetleri AI saldiri otomasyonu buyumeden kapatma iddiasinda. Kaynak: https://the-decoder.com/linux-foundation-and-20-tech-giants-launch-akrites-to-fix-open-source-flaws-before-ai-powered-attacks-hit/

REGULATION

• GPT-5.6 erisim modeli, "government approval/customer by customer" ekseninde yeni bir frontier model dagitim standardi dogurabilir. Kaynak: https://the-decoder.com/openais-gpt-5-6-rollout-now-requires-us-government-approval-on-a-customer-by-customer-basis/
• CNBC'nin "trusted partners" haberi, kurumsal AI erisiminde politik uygunluk ve guvenlik denetimini ticari filtreye donusturuyor. Kaynak: https://www.cnbc.com/2026/06/26/openai-limits-new-ai-models-to-trusted-partners-request-us-government.html
• Polislerin AI kullaniminda kurallar geride kaliyor; kamu sektorunde audit ve transparency acigi buyuyor. Kaynak: https://news.google.com/rss/articles/CBMingFBVV95cUxNT3RXRjBZTnViZ3hQWjE4eVBoczVKYWFlMUY0bk9NcVhMVnVWaU52QjFTOFBMQ1VDY2tHLXhkZE9HR2hiSS05WUNDRWlQSkJGZ0ozckxsYTZnNEppN0ZtbnNMTnQ0VzZRU1lVN2ZIY1JOVUhMZ0x0MUc2OGJhdzl4aGNaaVNZVllpSFZoQnZaTVEtMG9NcWxzRzJ6X0VSZw?oc=5
• AI ile yerinden edilen calisanlar icin retraining girisimleri, sosyal politika basliginin teknoloji sirketleriyle birlikte sekillendigini gosteriyor. Kaynak: https://www.theregister.com/ai-and-ml/2026/06/26/ai-giants-back-non-profit-to-retrain-workers-left-behind-by-ai/5262601

AI-SCIENCE

• Anatomy-Guided Residual Motion Diffusion, 4D cardiac MRI synthesis icin kontrollu medikal veri uretimine odaklaniyor. Kaynak: https://arxiv.org/abs/2606.26764
• CORTEX, 3D chest CT MLLM'leri icin structured reasoning benchmark'i sunuyor. Kaynak: https://arxiv.org/abs/2606.27264
• SamaVaani, Indian languages icin multilingual clinical ASR audit/debiasing calismasi. Kaynak: https://arxiv.org/abs/2606.26901
• Physics + ML iklim simulari 25x hizlandirma haberi, science AI'nin pratik compute kazancini gosteriyor. Kaynak: http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a3eefa2f0954436b893b224ce79d6c6&url=https%3a%2f%2fwww.msn.com%2fen-us%2fnews%2ftechnology%2fresearchers-built-an-ai-that-runs-climate-simulations-about-25-times-faster-by-fusing-physics-with-machine-learning%2far-AA256ybv&c=2097961485688680972&mkt=tr-tr

INFRA

• NVIDIA Model Optimizer ile Nemotron 3 Ultra NVFP4 checkpoint hazirlama rehberi, low-precision deployment hattina sinyal. Kaynak: https://developer.nvidia.com/blog/creating-the-nvidia-nemotron-3-ultra-nvfp4-checkpoint-with-nvidia-model-optimizer/
• PersistentKV, long-context serving maliyetini commodity GPU tarafinda dusurme hedefiyle izlenmeli. Kaynak: https://arxiv.org/abs/2606.26666
• EGG, LLM-based GPU kernel generation icin expert-guided agent framework oneriyor. Kaynak: https://arxiv.org/abs/2606.26758
• Modern GPU Programming for MLSys sosyal kaynaklarda dolasti; infra egitimi ve kernel-level optimizasyon ilgisi artiyor. Kaynak: https://mastodon.social/@h4ckernews/116817797943268053

SAFETY

• The Inattentional Gap, task-conditioned language/vision modellerin safety-critical sinyalleri atlayabildigini gosteriyor. Kaynak: https://arxiv.org/abs/2606.26529
• LLM-as-Judge safety eval'larinda temperature control ve reproducibility'nin gerekli ama yetersiz oldugu incelendi. Kaynak: https://arxiv.org/abs/2606.26185
• Autoformalization of Agent Instructions into Policy-as-Code, agent guvenligi icin denetlenebilir policy hattina aday. Kaynak: https://arxiv.org/abs/2606.26649
• Sosyal kaynaklarda agent'larin offensive content uretimini sinirlayan guardrail yontemleri tartisildi. Kaynak: https://mastodon.social/@beyondthecode/116816523078054174

WATCHLIST

• GPT-5.6 erisim kapisi: model release'leri bundan sonra teknik benchmark kadar politik clearance ile de olculebilir. Kaynak: https://www.wired.com/story/openai-gpt-56-model-release-trump-admin-approval/
• MCP poisoning: ShareLock gibi saldirilar, tool registry ve permission modelini kritik hale getiriyor. Kaynak: https://arxiv.org/abs/2606.27027
• OpenAI IPO gecikmesi: valuation beklentisi ve regulasyon baskisi AI finans anlatısını ayni anda etkiliyor. Kaynak: https://the-decoder.com/altman-wont-go-public-for-less-than-1-trillion-so-openais-ipo-may-slip-to-2027/
• Local LLM size floor tartismasi, edge/local coding agent beklentilerinin realistik model boyutu sinirina carptigini gosteriyor. Kaynak: https://alsutton.social/@alsutton/116817139755214991
• Police AI adoption, kamu kurumlarinda once kullanim sonra kural deseninin tekrarladigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMingFBVV95cUxNT3RXRjBZTnViZ3hQWjE4eVBoczVKYWFlMUY0bk9NcVhMVnVWaU52QjFTOFBMQ1VDY2tHLXhkZE9HR2hiSS05WUNDRWlQSkJGZ0ozckxsYTZnNEppN0ZtbnNMTnQ0VzZRU1lVN2ZIY1JOVUhMZ0x0MUc2OGJhdzl4aGNaaVNZVllpSFZoQnZaTVEtMG9NcWxzRzJ6X0VSZw?oc=5

CikCik Paketi

• Local LLM ile coding denemelerinde model boyutu icin pratik alt sinir oldugu tartisiliyor; "cheap local agent" beklentisini ayarlamak lazim. Kaynak: https://alsutton.social/@alsutton/116817139755214991
• GPT-5.6 Sol preview'i sosyal akista hizli yayildi; isimlendirme Sol/Terra/Nova gibi model ailelerine dogru kayiyor. Kaynak: https://mastodon.sayzard.org/@sayzard/116817887416566062
• HN/Mastodon hattinda current LLM cost sustainability tartismasi yeniden alevlendi. Kaynak: https://mastodon.social/@h4ckernews/116815411271098888
• r/MachineLearning'de LLM production deployment icin uygun fiyatli yol tartisiliyor; inference cost hala ana aci noktasi. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1ufyuph/howre_you_deploying_llms_in_production_nowadays/
• Agent'larin offensive content uretimini kisitlama tartismasi safety narratifinin sosyal tarafa indigini gosteriyor. Kaynak: https://mastodon.social/@beyondthecode/116816523078054174
• Mastodon'da public hospital'larda external AI tool bloklama sinyali gorundu; kurum ici AI policy ihtiyaci artiyor. Kaynak: https://pubeurope.com/@europesays/116818469446656055

Rehberler & Kaynaklar

• From Local LLM to Tool-Using Agent rehberi, local modelden tool-using agent'a gecis icin pratik kaynak. Kaynak: https://towardsdatascience.com/from-local-llm-to-tool-using-agent/
• Apple container rehberi, Mac uzerinde Linux VM/container is akisi icin takip edilmeli. Kaynak: https://www.marktechpost.com/2026/06/26/meet-container-apples-open-source-swift-tool-for-running-linux-containers-as-lightweight-vms-on-apple-silicon/
• NVIDIA AI-Q Blueprint on OCI, production AI deployment icin vendor-specific ama uygulanabilir rehber. Kaynak: https://developer.nvidia.com/blog/deploy-a-production-ready-nvidia-ai-q-blueprint-on-oracle-cloud-infrastructure/
• AWS Agent Toolkit repo'su MCP/skill/plugin standardizasyonu icin izlenmeli. Kaynak: https://github.com/aws/agent-toolkit-for-aws

Oracle Self-Improvement Sinyalleri

• Social collector 4.175 ham item uretti ama unique katkisi 622'de kaldi; fallback X/Google News akisi eski tarihli kayit da topluyor, recency filtresi sertlestirilmeli. Kanit: https://news.google.com/rss
• Reddit kaynaklarinda 429 goruldu; collector backoff/cache ve user-agent rotasyonu olmadan coverage zayifliyor. Kanit: https://www.reddit.com/r/LocalLLaMA/.rss
• Semantic Scholar 429 verdi; academic collector arXiv/HF ile ayakta kaldi ama API quota stratejisi lazim. Kanit: https://api.semanticscholar.org/graph/v1/paper/search
• Google/Bing News aggregator URL'leri canonical URL'e cozulmeli; rapor kaynak kalitesi artar. Kanit: https://news.google.com/rss ve http://www.bing.com/news
• Dedupe 6.003 item uzerinde uzun surdu; fingerprint bucketing ve progress logging eklenmeli. Kanit: https://arxiv.org

Coverage / Blind Spots

• Aile coverage tam: rss/news, search, community, social, academic/api ailelerinin hepsi veri verdi. Kaynak: https://arxiv.org ve https://news.google.com/rss
• Ham/unique dagilim: rss/news 1.196 ham -> 189 unique, search 509 -> 256, community 67 -> 73, social 4.175 -> 622, academic/api 714 -> 788. Kaynak: https://huggingface.co/papers ve https://github.com/trending
• Thin/missing family yok; fakat Reddit 429, Semantic Scholar 429 ve bazi RSS 403/404 kaynaklari kaliteyi dusurdu. Kaynak: https://www.reddit.com/r/MachineLearning/.rss ve https://api.semanticscholar.org/graph/v1/paper/search
• Baskin topic'ler Launches, Regulation, Models, Agents, Tooling; coverage teknoloji urunleri ve politika ekseninde yogun. Kaynak: https://techcrunch.com/2026/06/26/openai-limits-gpt-5-6-rollout-after-government-request-says-restrictions-shouldnt-be-the-norm/

Kaynak Ozeti

• Toplam ham item: 6.661; merge sonrasi 6.003; dedupe sonrasi unique.json 1.928 item. Kaynak ornekleri: https://arxiv.org, https://huggingface.co/papers, https://github.com/trending, https://news.google.com/rss
• En yogun unique aile academic/api; arXiv cs.LG, cs.CV, cs.AI bugunku paper havuzunu tasidi. Kaynak: https://arxiv.org/list/cs.LG/recent
• Social aile yuksek hacimli ama dusuk sinyal/noise oranli; CikCik paketi icin tarih ve keyword filtreleri sart. Kaynak: https://mastodon.social/tags/MachineLearning
• Search ailesi Google News/Bing aggregator'a dayandigi icin canonical resolver sonraki kalite artisi. Kaynak: https://news.google.com/rss ve http://www.bing.com/news

Bu Gece Sistem Ne Ogrendi

• AI Regulation artik trend degil, release gate: GPT-5.6 olayi bunu netlestirdi. Kaynak: https://www.cnbc.com/2026/06/26/openai-limits-new-ai-models-to-trusted-partners-request-us-government.html
• AI Agents trendi agent framework, agent security, agent memory ve agent control-plane olarak dort alt damara ayriliyor. Kaynak: https://www.infoq.com/news/2026/06/vercel-eve-agents/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Memory ve temporal validity konusu self-improving agent'lar icin kalici sinyal; stale-fact engelleme Oracle tarafinda dogrudan uygulanabilir. Kaynak: https://arxiv.org/abs/2606.26511
• MCP ve tool poisoning, agent ekosisteminde "auth kadar onemli" yeni guvenlik yuzeyi. Kaynak: https://arxiv.org/abs/2606.27027
• Onceki learning artifact'taki "Search akisi aggregator linklerine dayaniyor" dersi bugun de dogrulandi; canonical URL cozumleme backlog'a alinmali. Kaynak: https://news.google.com/rss

Dedupe & Kalite Notu

Bu rapordaki haber secimi 2026-06-26 raporundaki Top 7 ile cakismayacak sekilde yapildi; generator son 3 gun icin 1 gecmis rapor yukledi. Toplam 6.661 ham item toplandi, 6.003 merged item islendi, unique.json 1.928 item ile raporlandi. Dedupe cikisi: 6.003 giris -> 1.927 yeni, 4.048 fingerprint tekrar, 27 semantik tekrar, 1 guncelleme.