Oracle Gece Arastirma — 2026-06-30

Curado por Mahsum Aktaş · Escaneo diario automatizado del sector de IA

Oracle Gece Arastirma — 2026-06-30

Otomatik derleme | v3 pipeline | 6.222 ham kaynak | 5.340 benzersiz item | 106 benzersiz kaynak | 5/5 kaynak ailesi kapsandi

Gunun Ozeti

Bugunun ana ekseni AI'in "model duyurusu" fazindan kamu, enterprise ve telif/uyum rejimine daha sert girmesiydi: Anthropic'in Claude modelleri NVIDIA GB300 Blackwell Ultra uzerinden Azure'da genel kullanima acildi, California eyaleti Anthropic ile devlet kurumlari icin indirimli Claude anlasmasi duyurdu, OpenAI ise Avrupa isgucu gecis haritasi ve HP Frontier ortakligi ile enterprise yayilimini genisletti. Kaynak: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/ ve https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/ ve https://openai.com/index/mapping-ai-jobs-transition-eu

Ikinci ana eksen maliyet, telif ve tedarik zinciriydi: Reuters haberinde sirketlerin pahali frontier modeller yerine daha ucuz modelleri secmeye basladigi vurgulanirken, Tidal tamamen AI-uretim muziklerde royalty politikasini sertlestirdi ve Guney Kore Samsung/SK Hynix merkezli buyuk chip-AI yatirim hattini duyurdu. Kaynak: https://news.google.com/rss/articles/CBMi1AFBVV95cUxQbEsxZlRocTBfR2pQWmw2VDBzQUVOQ3RodHlhY3l3bEZiMmN0eG9QVU1fSG04VnNjU1hEeHBQVXZjNGZvOGFpckN4b1BGTjJOTUEyb243blU3R2ZEd3BWcWlJeVZqbUhmanhjOFhwMlo3S0hCYW9TbEJWRzJKMEFMYWdLQkxVcDVnMlN2dklrenVocU5VREdxbG15RnR0ZjZsS1lJY2ZPZm00eUR3b3dWeTc2aHd4RDM3Skc4V2d3U1R6bU5UUjhEeG1Cd1k0cHVQb085OQ?oc=5 ve https://tidal.com/ai-policy ve https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5

Arastirma tarafinda agent benchmark, governance ve guvenlik sinyali guclu: verifier gecikmesi, multimodal agent memory, cost-aware LLM serving, selective quitting ve scientific review otomasyonu ayni yone isaret ediyor. Agent'lar artik "chatbot + tool" degil; maliyet, guven, bellek, yetki ve geri cekilme davranisi tasarlanmasi gereken production sistemleri. Kaynak: https://arxiv.org/abs/2606.27409 ve https://arxiv.org/abs/2606.27499 ve https://arxiv.org/abs/2606.27457 ve https://arxiv.org/abs/2510.16492

Top 7

1. Anthropic Claude modelleri, NVIDIA GB300 Blackwell Ultra uzerinde Microsoft Azure/Microsoft Foundry icinde genel kullanima acildi; enterprise AI dagitimi GPU-vendor-cloud-lab ucgeninde daha da dikey entegre oluyor. Kaynak: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/
2. California, Anthropic ile devlet kurumlari icin Claude'u indirimli kullanma anlasmasi yapti; kamu sektorunde LLM satin alma artik pilot degil, merkezi tedarik modeli oluyor. Kaynak: https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/
3. OpenAI'in Avrupa isgucu raporu, AI'in meslekleri yok etme/degistirme/olceklendirme etkisini haritaliyor; regulasyon ve reskilling tartismasi icin dogrudan politika girdisi. Kaynak: https://openai.com/index/mapping-ai-jobs-transition-eu
4. Tidal, tamamen AI-generated muzik icin royalty politikasini sertlestirdi; platformlarin "AI icerik kabul edilir ama gelir dagitimi ayrisir" rejimine gecme ihtimali yukseliyor. Kaynak: https://tidal.com/ai-policy
5. Guney Kore'nin Samsung ve SK Hynix merkezli chip/AI mega yatirim plani, HBM ve semiconductor kapasitesinin ulusal stratejiye donustugunu gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5
6. NVIDIA Developer Blog, enterprise AI factory icinde autonomous agent governance katmanini tarif etti; agent riskleri artik observability, policy ve approval flow'u olmadan yonetilemez. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
7. "Cluster, Route, Escalate" paper'i, LLM serving maliyetini model routing ve escalation ile dusurmeyi oneriyor; tek pahali model varsayimi production ekonomisinde zayifliyor. Kaynak: https://arxiv.org/abs/2606.27457

TRENDS

• SPIKE: AI Agents 784 toplam mention ile acik ara onde; bugunku sinyal agent governance, verifier latency, visual memory ve cost-aware serving etrafinda yogunlasti. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
• SPIKE: Claude 220 ve Anthropic 477 mention ile yuksek gorunurlukte; bugun tekrar eden Mythos tartismasi yerine Azure GB300 dagitimi ve California kamu anlasmasi yeni haber olarak ayrisiyor. Kaynak: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/ ve https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/
• YUKSELIS: Regulation ve policy hattinda Tidal AI music policy, OpenAI EU workforce raporu ve California procurement anlasmasi ayni anda geldi. Kaynak: https://tidal.com/ai-policy ve https://openai.com/index/mapping-ai-jobs-transition-eu
• YUKSELIS: Infra 490 topic ile guclu; South Korea chip plani, GB300 Azure dagitimi ve cost-aware serving ayni ekonomik basinca isaret ediyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5
• AZALIS: Perplexity yalniz 1 mention ile bugunku havuzda dusuk sinyal verdi; gunun anlatisi search-AI'dan enterprise deployment ve policy'ye kaydi. Kaynak: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/

KAT-1 LLM & Model Guncellemeleri

• Claude on GB300/Azure: Anthropic modellerinin NVIDIA GB300 Blackwell Ultra uzerinden Azure'da GA olmasi, model performansi kadar deployment lokasyonu ve GPU neslinin de urun avantajina donustugunu gosteriyor. Kaynak: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/
• Gemini personalized image generation: Google, Gemini'nin kullanici baglamina dayali image generation ozelligini ABD'deki ucretsiz kullanicilara acti; personalization ve privacy ayni urun yuzeyinde birlesiyor. Kaynak: https://techcrunch.com/2026/06/29/geminis-personalized-ai-image-generation-is-now-free-for-u-s-users/
• DiScoFormer: AllenAI/Hugging Face yayini density ve score modeling'i tek transformer altinda birlestirmeyi hedefliyor; generative modeling tarafinda mimari sadelestirme sinyali. Kaynak: https://huggingface.co/blog/allenai/discoformer
• DeepSeek-V4-Pro-DSpark checkpoint'i HF trending'de gorundu; onceki DSpark haberini tekrar etmeden not: model artefaktlari ekosisteme yayilmaya basladi. Kaynak: https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark

KAT-2 Arastirma & Paper'lar

• Cluster, Route, Escalate, production LLM serving icin cost-aware cascade oneriyor; dusuk maliyetli modelle baslayip zor isleri yukari tasima tasarimi netlesiyor. Kaynak: https://arxiv.org/abs/2606.27457
• Verifier Detection Thresholds and Optimal Corrector Placement, multi-agent LLM sistemlerinde verifier'in gec kalmasi halinde hata yayilimini inceliyor; critic agent'in nerede konumlandigi kritik. Kaynak: https://arxiv.org/abs/2606.27409
• DMV-Bench, long-horizon multimodal agent'larda visual memory'yi incidental cue injection ile test ediyor; agent memory sadece text transcript problemi degil. Kaynak: https://arxiv.org/abs/2606.27499
• Towards Automating Scientific Review with Google's Paper Assistant Tool, scientific review surecini LLM destekli hale getirirken evaluation ve hakemlik guvenilirligi tartismasini buyutuyor. Kaynak: https://arxiv.org/abs/2606.28277
• Aloe-Vision, healthcare vision-language modellerinde robustness hattini hedefliyor; klinik VLM'lerde guvenilirlik ve domain-specialization beraber ele alinmali. Kaynak: https://arxiv.org/abs/2606.27500

KAT-3 Araclar & Framework'ler

• Cursor mobile app, coding agent'i masaustu IDE'den telefona tasiyor; developer workflow'u "agent job baslat, mobilde yonet" modeline kayiyor. Kaynak: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/
• GitHub Copilot Claude Opus 4.8 fast mode preview, coding assistant pazarinda latency'nin urun rekabeti haline geldigini gosteriyor. Kaynak: https://github.blog/changelog/2026-06-29-claude-opus-4-8-fast-mode-is-now-in-preview-for-github-copilot
• CoreWeave ARIA, model deneyi ve iyilestirme dongulerini coding agent ile W&B icinde birlestirmeye calisiyor; infra sirketleri agent tooling'e iniyor. Kaynak: https://news.google.com/rss/articles/CBMiX0FVX3lxTE5NdnFmYUo4VmdvZkF0NEtpY1FPWmFhWl8xMDhhdW15NmxNQmh1T0N3WUJYc1h6c1R4LVFicml4SnBDZEtpNjRZaGZZVHRsS2JYVEhyQnBIZkFxUHBn?oc=5
• Figma Config 2026, code, motion ve agent workflow'lari tasarim canvas'ina yaklastiriyor; design-dev ayrimi daha da bulanacak. Kaynak: https://diginomica.com/config-2026-ai-blurs-lines-figma-code-motion-agent-workflows-design-canvas

KAT-4 Acik Kaynak

• codebase-memory-mcp, codebase'i persistent knowledge graph olarak indeksleyen MCP server iddiasiyla agent context maliyetini dusurme tarafinda yuksek sinyal verdi. Kaynak: https://github.com/DeusData/codebase-memory-mcp
• Strix, uygulama zafiyetlerini bulup duzeltmeye odakli open-source AI security agent olarak GitHub trending'de; security-agent pazarini izlemek gerekiyor. Kaynak: https://github.com/usestrix/strix
• video-use, ham video klasorunden coding agent ile final video uretme akisini acik kaynakliyor; "agent ile medya duzenleme" pratik alana iniyor. Kaynak: https://github.com/browser-use/video-use
• FluidVoice, macOS uzerinde lokal offline dictation sunuyor; on-device productivity araclari icin mahremiyet ve latency avantajini birlikte satiyor. Kaynak: https://github.com/altic-dev/FluidVoice
• ai-berkshire, Claude Code/Codex icin multi-agent value investing framework'u olarak finance-agent tarafinda niş ama ilginc bir isaret verdi. Kaynak: https://github.com/xbtlin/ai-berkshire

KAT-5 Endustri & Sirketler

• HP, OpenAI Frontier ortakligini customer experience, software development ve enterprise operasyonlara yayiyor; frontier model kullaniminda kurumsal donusum vakalari cogaliyor. Kaynak: https://openai.com/index/hp-frontier-partnership
• Reuters'in "cheaper AI" haberi, model seciminde en yuksek benchmark yerine toplam maliyet ve yeterli kalite dengesinin one ciktigini anlatiyor. Kaynak: https://news.google.com/rss/articles/CBMi1AFBVV95cUxQbEsxZlRocTBfR2pQWmw2VDBzQUVOQ3RodHlhY3l3bEZiMmN0eG9QVU1fSG04VnNjU1hEeHBQVXZjNGZvOGFpckN4b1BGTjJOTUEyb243blU3R2ZEd3BWcWlJeVZqbUhmanhjOFhwMlo3S0hCYW9TbEJWRzJKMEFMYWdLQkxVcDVnMlN2dklrenVocU5VREdxbG15RnR0ZjZsS1lJY2ZPZm00eUR3b3dWeTc2aHd4RDM3Skc4V2d3U1R6bU5UUjhEeG1Cd1k0cHVQb085OQ?oc=5
• Guney Kore'nin Samsung/SK Hynix yatirim plani, chip kapasitesini ulusal AI rekabeti icin dogrudan stratejik varlik olarak konumluyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5
• Palantir, NVIDIA Nemotron acik modelleriyle ABD kurumlari icin secure AI engine anlatısını guclendiriyor; "open model + closed environment" enterprise/government pattern'i buyuyor. Kaynak: https://blogs.nvidia.com/blog/palantir-secure-ai-us-agencies-nemotron-open-models/

KAT-6 AI Agent'lar

• NVIDIA'nin enterprise agent governance yazisi, autonomous agent'lar icin policy, audit, permissions ve monitoring katmanini zorunlu tasarim alani olarak konumluyor. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
• Cursor mobile, always-on coding agent'lari telefondan yonetme fikrini ana urun akisi haline getiriyor; agent operasyonu artik sadece IDE icinde degil. Kaynak: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/
• AI Persuasive Framing in Collective Dilemmas, agent'larin sosyal karar ortamlarinda davranis nudging araci olabilecegini tartisiyor; safety ve manipulation riski beraber. Kaynak: https://arxiv.org/abs/2606.27951
• Single and Multi Truth Data Fusion using LLMs, agent'larin cok kaynakli truth discovery problemlerinde nasil kullanilabilecegini arastiriyor. Kaynak: https://arxiv.org/abs/2606.28062

KAT-7 Multimodal

• DMV-Bench, multimodal agent'larin uzun ufuklu gorsel hafizasini test ederek "gordu mu, hatirladi mi, dogru kullandi mi" ayrimini yapiyor. Kaynak: https://arxiv.org/abs/2606.27499
• Gemini personalized image generation, kullanici verisiyle gorsel uretimi birlestirdigi icin multimodal urunlerde personalization/privacy gerilimini buyutuyor. Kaynak: https://techcrunch.com/2026/06/29/geminis-personalized-ai-image-generation-is-now-free-for-u-s-users/
• Joint Transcription and Decryption of Images of Encrypted Handwritten Documents, gorsel belge analizi, cryptology ve OCR'i tek pipeline'da birlestiriyor. Kaynak: https://arxiv.org/abs/2606.27700
• ViQ, text-aligned visual quantized representations ile goruntu ve metni daha ortak bir temsil alanina yaklastirmayi hedefliyor. Kaynak: https://huggingface.co/papers/2606.27313

KAT-8 Robotik & Embodied AI

• Firefly Aerospace'in lunar orbit'te NVIDIA Jetson kullanimi, edge compute'un uzay/robotik uygulamalarda daha sert ortamlara girdigini gosteriyor. Kaynak: https://blogs.nvidia.com/blog/firefly-aerospace-nvidia-jetson-lunar-orbit/
• In-Context World Modeling for Robotic Control, VLA modellerinin yeni kamera acisi ve robot morfolojisine genelleme zayifligini world-model baglamiyla hedefliyor. Kaynak: https://huggingface.co/papers/2606.26025
• EO-WM, Earth Observation forecasting icin fiziksel bilgiyle desteklenen probabilistic world model oneriyor; embodied olmasa da dunya modelleme hattina guclu sinyal. Kaynak: https://huggingface.co/papers/2606.27277
• comma.ai openpilot GitHub trending'de kalmaya devam ediyor; robotics OS ve driver assistance acik kaynak ilgisi suruyor. Kaynak: https://github.com/commaai/openpilot

KAT-9 Topluluk & Rehberler

• GitHub issue creation'u collaborator-only sinirlayabilme ozelligi, public repo'larda spam ve unwanted issue riskini azaltan pratik maintainer kontrolu. Kaynak: https://github.blog/changelog/2026-06-29-restrict-issue-creation-to-collaborators-only
• r/MachineLearning'de "stateless LLM chatbots long-term memory limits" tartismasi, memory benchmark ihtiyacinin topluluk tarafinda da hissedildigini gosteriyor. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1ui27i1/evaluating_longterm_memory_limits_in_stateless/
• "I shrank a transformer until every number fitted on the screen" paylasimi, model egitimi/forward pass'i ogretmek icin tiny interpretability araci olarak degerli. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1uhw7fu/i_shrank_a_transformer_until_every_number_fitted/
• Lobsters'taki MAX Apple silicon GPU tartismasi, lokal inference ve Mac developer tooling ilgisinin surdugunu gosteriyor. Kaynak: https://forum.modular.com/t/max-models-can-now-run-on-apple-silicon-gpus/3283

SECURITY

• PYPILINE paper'i, malicious PyPI package detection icin suspicious API knowledge ve agent workflow kullaniyor; open-source supply-chain defense agent'lasiyor. Kaynak: https://arxiv.org/abs/2606.19063
• DG^VoiC, call-centre sartlarinda speaker clustering ile fraud investigation'i hedefliyor; ses tabanli fraud AI'i operasyonel alana iniyor. Kaynak: https://arxiv.org/abs/2606.28048
• GitHub collaborator-only issue creation ozelligi, repo abuse ve unwanted issue surface'ini azaltan kucuk ama pratik guvenlik/maintainer kontrolu. Kaynak: https://github.blog/changelog/2026-06-29-restrict-issue-creation-to-collaborators-only
• InfoQ paneli, prompt injection, data poisoning, agent abuse ve AI-powered social engineering basliklarini tek threat evolution cercevesinde topluyor. Kaynak: https://www.infoq.com/articles/security-ai-threat-evolution/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Strix'in open-source AI hacker yaklasimi, defense tarafinda agent kullanirken kendi supply-chain ve sandbox kontrollerinin de tasarlanmasi gerektigini hatirlatiyor. Kaynak: https://github.com/usestrix/strix

REGULATION

• OpenAI Avrupa isgucu raporu, AI policy tartismasini meslek bazli transition/growth/automation haritasina cekiyor; AB reskilling ve isgucu politikasi icin kullanilabilir veri uretir. Kaynak: https://openai.com/index/mapping-ai-jobs-transition-eu
• California-Anthropic anlasmasi, kamu kurumlarinda LLM tedarikinin eyalet seviyesinde merkezi procurement'a donustugunu gosteriyor. Kaynak: https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/
• Tidal AI policy, tamamen AI-generated muziklerde gelir dagitimi ve platform haklari icin net ayrim koyuyor; telif ve synthetic media politikasi sertlesiyor. Kaynak: https://tidal.com/ai-policy
• ABD'de Demokrat/Republican AI algisi anketi, AI regulation mesajinin siyasi segmentlere gore farklilastigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMizgFBVV95cUxQLXVoeTE5U1diV3hRVTVHcmNkSU9JQTlRazhGblBmcTI5RGtpMnZaQlViWGtPLU03cE1NU0V0NHQxcUVpaVNxS2hwcXVyZDROVERYVURsdDdHWENmT1U5RGpKa0xuVXFVNEtyaHNkU25mUlVENG80QlFyTVFMUk5hU1poUHUtMms0TXdncWhiT0ZLQ3YxMWZXaUtESkl0RFBqaDZvU2otWTRmbEFUbDFFNE9JaVpaWGFxbXZkbm02VmVkckxIdkh2dmFlVmFSUQ?oc=5

AI-SCIENCE

• Towards Automating Scientific Review with Google's Paper Assistant Tool, AI'in hipotez ve yazimdan hakemlik/review surecine de kaydigini gosteriyor. Kaynak: https://arxiv.org/abs/2606.28277
• Multi-Objective Molecular Generation with Frequency-Controlled Evolutionary Dynamics, drug discovery icin generative molecule search'u daha dengeli optimizasyonla ele aliyor. Kaynak: https://arxiv.org/abs/2606.27467
• Aloe-Vision, klinik VLM'lerde robustness odakli bir hat aciyor; healthcare AI'da model accuracy kadar dayanıklilik da merkeze geliyor. Kaynak: https://arxiv.org/abs/2606.27500
• Verifiable Geometry Problem Solving, solver-driven autoformalization ve theorem proposing ile neuro-symbolic geometri cozumu hattini ileri tasiyor. Kaynak: https://arxiv.org/abs/2606.27926

INFRA

• Claude on GB300/Azure, enterprise inference'in son nesil GPU, cloud marketplace ve lab partnerligiyle paketlendigini gosteriyor. Kaynak: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/
• South Korea chip/AI plani, HBM ve semiconductor kapasitesini ulusal AI stratejisinin merkezine yerlestiriyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5
• Cluster, Route, Escalate, LLM serving'de maliyet/kalite trade-off'unu runtime routing problemi olarak tasarliyor. Kaynak: https://arxiv.org/abs/2606.27457
• codebase-memory-mcp, repository indeksleme ve knowledge graph'i MCP server olarak paketleyerek agent context/inference maliyetini azaltmaya oynuyor. Kaynak: https://github.com/DeusData/codebase-memory-mcp
• Reuters'in maliyet haberi, inference faturalarinin model secimini dogrudan etkiledigini gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMi1AFBVV95cUxQbEsxZlRocTBfR2pQWmw2VDBzQUVOQ3RodHlhY3l3bEZiMmN0eG9QVU1fSG04VnNjU1hEeHBQVXZjNGZvOGFpckN4b1BGTjJOTUEyb243blU3R2ZEd3BWcWlJeVZqbUhmanhjOFhwMlo3S0hCYW9TbEJWRzJKMEFMYWdLQkxVcDVnMlN2dklrenVocU5VREdxbG15RnR0ZjZsS1lJY2ZPZm00eUR3b3dWeTc2aHd4RDM3Skc4V2d3U1R6bU5UUjhEeG1Cd1k0cHVQb085OQ?oc=5

SAFETY

• Check Yourself Before You Wreck Yourself, LLM agent'larin riskli durumda selectively quitting davranisi kazanmasinin safety'yi artirabilecegini savunuyor. Kaynak: https://arxiv.org/abs/2510.16492
• Safe Language Generation in the Limit, language generation'da limitte safety garantileri tartismasini teorik zemine cekiyor. Kaynak: https://arxiv.org/abs/2601.08648
• AI Persuasive Framing in Collective Dilemmas, agent'larin isbirligi davranisini artirabilecegini ama manipulation/sosyal etki risklerini de buyuttugunu gosteriyor. Kaynak: https://arxiv.org/abs/2606.27951
• Training-free Truthfulness Detection via Sparse MLP Value Vectors, truthfulness sinyalini model ic temsillerinden okumayi hedefliyor. Kaynak: https://arxiv.org/abs/2509.17932
• Hybrid Fact-Checking with Knowledge Graphs, LLMs and Retrieval Agents, claim verification icin yorumlanabilir hibrit dogrulama hattini oneriyor. Kaynak: https://arxiv.org/abs/2511.03217

WATCHLIST

• California-Anthropic procurement: kamu LLM satin alma sozlesmeleri diger eyalet ve ulkelere yayilirsa vendor lock-in ve veri yonetimi tartismasi buyur. Kaynak: https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/
• Tidal AI policy: muzik platformlari AI-generated icerigi gelir, discoverability ve etiketleme bazinda ayiracak mi izlenmeli. Kaynak: https://tidal.com/ai-policy
• Cursor mobile agents: mobile orchestration yayilirsa coding agent guvenligi, bildirim hijyeni ve remote execution policy yeni kontrol alani olur. Kaynak: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/
• Agent governance: NVIDIA'nin AI factory governance cercevesi, internal OpenClaw agent policy/lint sistemi icin pratik checklist'e donusturulebilir. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
• Cost-aware serving: Cluster/Route/Escalate ve cheaper-AI trendi, model router ve budget-aware inference'i 2026'nin en yuksek ROI infra basligi yapabilir. Kaynak: https://arxiv.org/abs/2606.27457

CikCik Paketi

• Aci: "AI kamuya giriyor" diye yaz; California-Anthropic anlasmasi, LLM'lerin artik demo degil kamu tedarik kalemi oldugunu gosteriyor. Kaynak: https://techcrunch.com/2026/06/29/anthropic-and-gov-newsom-forge-deal-allowing-california-government-to-use-claude-at-half-price/
• Aci: "Telif savasi basliyor" diye yaz; Tidal'in AI-generated muzik royalty politikasi, platform ekonomisinin synthetic content'i gelir bazinda ayiracagini gosteriyor. Kaynak: https://tidal.com/ai-policy
• Aci: "En iyi model degil, yeterince iyi ve ucuz model kazanacak" diye yaz; Reuters maliyet haberi model seciminde CFO perspektifini one cikariyor. Kaynak: https://news.google.com/rss/articles/CBMi1AFBVV95cUxQbEsxZlRocTBfR2pQWmw2VDBzQUVOQ3RodHlhY3l3bEZiMmN0eG9QVU1fSG04VnNjU1hEeHBQVXZjNGZvOGFpckN4b1BGTjJOTUEyb243blU3R2ZEd3BWcWlJeVZqbUhmanhjOFhwMlo3S0hCYW9TbEJWRzJKMEFMYWdLQkxVcDVnMlN2dklrenVocU5VREdxbG15RnR0ZjZsS1lJY2ZPZm00eUR3b3dWeTc2aHd4RDM3Skc4V2d3U1R6bU5UUjhEeG1Cd1k0cHVQb085OQ?oc=5
• Aci: "Agent'lar app degil, operasyonel risk yuzeyi" diye yaz; NVIDIA governance yazisi bunu enterprise diliyle anlatiyor. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
• Aci: "Kod yazmak telefona tasindi, sorumluluk hâlâ CI'da" diye yaz; Cursor mobile app hiz kazandirir ama remote execution policy gerektirir. Kaynak: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/
• Aci: "Chip savasi ulusal sanayi politikasi oldu" diye yaz; Kore'nin Samsung/SK Hynix plani AI'in sadece model degil fab/HBM savasi oldugunu gosteriyor. Kaynak: https://news.google.com/rss/articles/CBMiWkFVX3lxTE9GN0EtSXZQQkI5UC1zMmR2SXdBTnNzMlV2YjV4UnBPa2I0aGZHbS1SM2Mxb3pWZEg5eGpseTFxS0lsMkdjb3Y1N05GNjRNSmFWQWdxaS1rVUF0Zw?oc=5

Rehberler & Kaynaklar

• NVIDIA agent governance rehberi, enterprise agent policy, permission ve monitoring checklist'i icin okunmali. Kaynak: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/
• Google full-stack AI explainer, AI stack'in modelden silicon/cloud/product katmanina kadar nasil birlikte dusunuldugunu sade anlatiyor. Kaynak: https://blog.google/innovation-and-ai/technology/ai/full-stack-ai-explainer/
• GitHub collaborator-only issue creation notu, public repo maintainer'lari icin pratik abuse control referansi. Kaynak: https://github.blog/changelog/2026-06-29-restrict-issue-creation-to-collaborators-only
• codebase-memory-mcp reposu, agent memory/MCP tool denemeleri icin teknik inceleme adayi. Kaynak: https://github.com/DeusData/codebase-memory-mcp

Oracle Self-Improvement Sinyalleri

• Dedupe bugun agir calisti ama tamamlandi: 5.662 merge cikisindan 5.340 yeni item kaldi, 317 fingerprint ve 4 semantik tekrar elendi; sosyal fallback hacmi dedupe maliyetini yukseltiyor. Kaynak URL ornegi: https://techcrunch.com/2026/06/29/cursor-now-has-a-mobile-app-for-guiding-your-coding-agent-on-the-go/
• Social collector 4.147 item uretti ve CAT-14 havuzu 3.850 item ile baskin hale geldi; CikCik maddeleri icin recency ve source-quality cap uygulanmali. Kaynak URL ornegi: https://mastodon.social/@beyondthecode/116834905550668522
• Search collector 519 item verdi ama Google News aggregator linkleri canonical kaliteyi dusuruyor; publish oncesi canonical resolver hâlâ yuksek ROI. Kaynak URL ornegi: https://news.google.com/rss/articles/CBMiswFBVV95cUxOTTNubXBaa1E1UHR4VjlQa3FuLXZ0RFM5OVVIZWpfS1E2Y3FsOGVsZEZrV1dBZUFBV3k3WEt2Smhxc2lRQUF2MngyQmxSSHhqZEJRcXNPWmpER3dXT1psMVg5QWVsWGQybzVURG9yRzV0M2lidHdOWGdMN3Z0c3RTRXZlSWJzWE41NS1Zd0pHVlJ1R25janNGYTBPSVJMSnVVeEtINV9jRXVQUTZPekI4M1Vxdw?oc=5
• Reddit 429 ve Semantic Scholar 429 tekrar etti; cache/backoff ve collector bazli timeout raporu eklenmeli. Kaynak URL ornegi: https://arxiv.org/abs/2606.27457
• Trend tracker 49 topic penceresini guncelledi; top topic'ler launches, models, regulation, agents ve infra. Kaynak URL ornegi: https://openai.com/index/mapping-ai-jobs-transition-eu

Kaynak Ozeti

• RSS/news: 883 ham item; HuggingFace, NVIDIA, OpenAI, TechCrunch, Google AI Blog, The Register, DonanimHaber ve Technopat agirlikli. Kaynak URL ornegi: https://huggingface.co/blog/allenai/discoformer
• Academic/API: 610 ham item; arXiv, HuggingFace Trending Models ve HF Daily Papers calisti, Semantic Scholar 429 verdi. Kaynak URL ornegi: https://arxiv.org/abs/2606.27457
• Community: 63 ham item; GitHub Trending, Lobsters ve r/MachineLearning kapsandi, Reddit LocalLLaMA/artificial 429 verdi. Kaynak URL ornegi: https://github.com/usestrix/strix
• Search: 519 ham item; Google News ve Bing News akisi genis ama aggregator link orani yuksek. Kaynak URL ornegi: https://tidal.com/ai-policy
• Social: 4.147 ham item; Mastodon hashtagleri ve Twitter fallback profilleri veri verdi, kalite icin recency/source cap gerekiyor. Kaynak URL ornegi: https://mastodon.social/@beyondthecode/116834905550668522
• Coverage: 5/5 kaynak ailesi, 10/10 topic kapsandi; blind spot yok, ama social/search baskinligi rapor seciminde manuel kalite filtresi gerektirdi. Kaynak URL ornegi: https://developer.nvidia.com/blog/how-to-govern-autonomous-agents-in-enterprise-ai-factories/

Dedupe & Kalite Notu

Bu raporda onceki 3 gunun ana tekrarlarini disarida tuttum: Ford geri cagirma, Mythos erisim rejimi, DSpark duyurusu, Dapr/Eve/Akrities, Liquid LFM2.5, Google-Meta Gemini kisiti ve onceki Top 7 maddeleri yeniden ana haber yapilmadi. Kaynak ornegi: https://blogs.nvidia.com/blog/anthropic-nvidia-gb300-blackwell-ultra-microsoft-azure/

Dedupe sonucu: 5.662 merge cikisi -> 5.340 yeni item; 317 fingerprint tekrar, 4 semantik tekrar, 0 guncelleme. Kategori dagilimi: CAT-00 505, CAT-01 83, CAT-02 113, CAT-03 72, CAT-04 542, CAT-05 26, CAT-06 2, CAT-07 17, CAT-08 9, CAT-12 13, CAT-13 108, CAT-14 3850. Kaynak ornegi: https://arxiv.org/abs/2606.27499