Oracle Gece Arastirma — 2026-07-04

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

Oracle Gece Arastirma — 2026-07-04

Otomatik derleme | v3 pipeline | 7005 ham kaynak | 2159 benzersiz item | 98 benzersiz kaynak | 5/5 kaynak ailesi

Gunun Ozeti

Bugunun ana ekseni agent ekosisteminin uc cephede sertlesmesi: benchmark'lar agent kapasitesini eksik olcuyor, guvenlik raporlari AI ile patliyor, kurumlar kullanim bazli AI maliyetini anlamakta zorlanıyor. Kaynak: https://the-decoder.com/uks-ai-security-institute-finds-standard-benchmarks-systematically-underestimate-what-ai-agents-can-actually-do ve https://the-decoder.com/security-vulnerability-reports-have-exploded-since-ai-models-started-hunting-for-bugs ve https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383

Ikinci hat developer tooling: GitHub Copilot metrikleri daha dogru hale geldi, Copilot CLI GitHub Actions'ta PAT ihtiyacini kaldirdi, Chrome DevTools MCP ise coding agent'lar icin tarayici gozlem katmanini standartlastirma sinyali verdi. Kaynak: https://github.blog/changelog/2026-07-02-improved-accuracy-and-coverage-in-copilot-usage-metrics-reports ve https://github.blog/changelog/2026-07-02-copilot-cli-no-longer-needs-a-personal-access-token-in-github-actions ve https://github.com/ChromeDevTools/chrome-devtools-mcp

Ucuncu hat research: agent safety, provenance, token-boundary exploit, multilingual constitutional classifier, RAG coherence ve agent memory benchmark'lari bugunku paper akisini domine etti. Kaynak: https://arxiv.org/abs/2607.01236 ve https://arxiv.org/abs/2607.01239 ve https://arxiv.org/abs/2607.02079 ve https://arxiv.org/abs/2607.02262

TRENDS

• SPIKE: ElevenLabs ve xAI trend penceresinde sicrama verdi; bugunku rapor bunu model duyurusu yerine "agent runtime, medya ve inference talebi" baglaminda izliyor. Kaynak: https://the-decoder.com/chinese-ai-video-maker-kling-raises-2-billion-as-it-gears-up-for-hong-kong-ipo
• YUKSELIS: AI Agents 1175 toplam gorunumle ana kategori; bugunku yeni sinyal AISI benchmark uyarisı, AgenticDataBench, PACE ve AgenticSTS tarafinda olcum/long-horizon sorununun buyumesi. Kaynak: https://the-decoder.com/uks-ai-security-institute-finds-standard-benchmarks-systematically-underestimate-what-ai-agents-can-actually-do ve https://arxiv.org/abs/2607.01647 ve https://arxiv.org/abs/2607.02032 ve https://arxiv.org/abs/2607.02255
• YUKSELIS: AI Regulation ve AI Safety birlikte hareket ediyor; bugunku fark, guvenlik-regulasyon hattinin model policy'den hukumet benchmark'i, veri hirsizligi, AI-hallucinated legal risk ve cografi model erisimi basliklarina kaymasi. Kaynak: https://the-decoder.com/claude-codes-complicated-china-problem-involves-bans-on-both-sides-of-the-pacific ve https://www.theregister.com/legal/2026/07/02/startup-sues-palo-alto-networks-koi-security-saying-an-ai-hallucinated-report-falsely-linked-it-to-chinese-espionage/5266201
• AZALIS: DALL-E, DeepSeek, Gemma, Grok ve Inflection AI etiketleri bugun ana akisi tasimadi; multimodal baslik daha cok Kling, DeepMind-A24, video grounding ve VisionAId tarafina kaydi. Kaynak: https://deepmind.google/blog/google-deepmind-and-a24-announce-first-of-its-kind-research-partnership ve https://arxiv.org/abs/2607.02269 ve https://arxiv.org/abs/2607.02371

Top 7

1. UK AI Security Institute, standart benchmark'larin AI agent kapasitesini sistematik olarak hafife aldigini raporladi; bu, agent deployment icin "benchmark gecildi" rahatliginin guvenilir olmadigini gosteriyor. Kaynak: https://the-decoder.com/uks-ai-security-institute-finds-standard-benchmarks-systematically-underestimate-what-ai-agents-can-actually-do
2. Guvenlik acigi raporlari AI modellerinin bug hunting'e girmesiyle patladi; sinyal net: triage, exploitability ve false-positive ayrimi yeni operasyon darboğazi. Kaynak: https://the-decoder.com/security-vulnerability-reports-have-exploded-since-ai-models-started-hunting-for-bugs
3. GitHub Copilot usage metrics artik CLI suggested lines ve onceki raporlarda eksik kalan kullanicilari daha iyi kapsiyor; enterprise AI maliyet muhasebesi icin kritik. Kaynak: https://github.blog/changelog/2026-07-02-improved-accuracy-and-coverage-in-copilot-usage-metrics-reports
4. NetNut proxy botnet'i Google ve FBI operasyonuyla 2 milyon enfekte cihazdan koparildi; AI crawler, proxy ve botnet ekonomisi ayni altyapi sinirinda bulusuyor. Kaynak: https://www.bleepingcomputer.com/news/security/netnut-proxy-network-disrupted-2-million-infected-devices-cut-off/
5. Google DeepMind ve A24, film/medya tarafinda AI research partnership duyurdu; creative AI artik yalnizca demo degil, stüdyo pipeline'ina giren arastirma ortakligi. Kaynak: https://deepmind.google/blog/google-deepmind-and-a24-announce-first-of-its-kind-research-partnership/
6. Cloudflare, Town Lake ve Skipper ile operasyonel, billing, security ve business datayi birlestiren data platformunu anlatti; billing workload'larin query hacmindeki agirligi AI analytics cost control sinyali. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
7. Claude Code'un Çin problemi, agent kodlama araclarinin sadece teknik degil cografi, ihracat ve platform policy kisitlariyla da yasayacagini gosterdi. Kaynak: https://the-decoder.com/claude-codes-complicated-china-problem-involves-bans-on-both-sides-of-the-pacific/

KAT-1 - LLM & Model Guncellemeleri

• GitHub, Gemini 2.5 Pro ve Gemini 3 Flash'i Copilot deneyimlerinde 31 Temmuz'da deprecate edecegini duyurdu; model rotasyonu developer platformlarinda artik surekli uyumluluk isi. Kaynak: https://github.blog/changelog/2026-07-02-upcoming-deprecation-of-gemini-2-5-pro-and-gemini-3-flash
• TUDUM, Qwen3.5-27B icin Turkce dusunen reasoning pipeline oneriyor; Turkce reasoning kalitesi icin yerel post-training hattı izlenmeli. Kaynak: https://arxiv.org/abs/2607.01927
• HaloGuard 1.0, multilingual AI safety icin open-weight constitutional classifier olarak geldi; guardrail katmaninda kapali API disi secenekler artiyor. Kaynak: https://arxiv.org/abs/2607.02079

KAT-2 - Arastirma & Paper'lar

• Online Safety Monitoring for LLMs, model calisirken dinamik risk izlemeyi ele aliyor; static eval yerine runtime guardrail hattina kayis var. Kaynak: https://arxiv.org/abs/2607.02510
• Safeguarding LLM Agents from Misalignment through Provenance Analysis, agent kararlarinda provenance takibiyle misalignment riskini azaltmayi hedefliyor. Kaynak: https://arxiv.org/abs/2607.01236
• Breaking Safety at the Token Boundary, BPE tokenization'in alignment bosluklari yaratabilecegini gosteriyor; tokenizer artik security surface. Kaynak: https://arxiv.org/abs/2607.01239
• CheckRLM, RAG reasoning zincirlerinde bilgi-dusunce tutarliligini kontrol etmeye odaklaniyor; Agentic RAG icin iyi sinyal. Kaynak: https://arxiv.org/abs/2607.02262

KAT-3 - Araclar & Framework'ler

• ChromeDevTools MCP, coding agent'larin Chrome'u denetleyip inspect edebilmesi icin dogrudan DevTools arayuzu sunuyor; browser automation standardi sertlesiyor. Kaynak: https://github.com/ChromeDevTools/chrome-devtools-mcp
• browser-use/video-use, video editing'i coding agent workflow'una tasiyor; multimodal content ops icin pratik bir acik kaynak sinyal. Kaynak: https://github.com/browser-use/video-use
• GitHub Copilot CLI, GitHub Actions icinde artik personal access token gerektirmiyor; CI/CD secret azaltimi dogrudan guvenlik kazanimi. Kaynak: https://github.blog/changelog/2026-07-02-copilot-cli-no-longer-needs-a-personal-access-token-in-github-actions
• Hardwood, JVM uzerinde zero mandatory dependency ile high-speed Apache Parquet processing hedefliyor; data pipeline basitligi icin izlenmeli. Kaynak: https://www.infoq.com/news/2026/07/hardwood-java-parquet/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

KAT-4 - Acik Kaynak

• agentskills/agentskills, agent skill'leri icin standardizasyon dokumani olarak trending'e girdi; skill formatlarinin ortaklasma ihtimali artiyor. Kaynak: https://github.com/agentskills/agentskills
• obra/superpowers, agentic skills framework ve software development methodology olarak dikkat cekti; procedural memory ve metodoloji tarafinda karsilastirma yapilmali. Kaynak: https://github.com/obra/superpowers
• openai/codex-plugin-cc, Claude Code icinden Codex'e review/delegation baglantisi sunuyor; cross-agent toolchain'ler hizlaniyor. Kaynak: https://github.com/openai/codex-plugin-cc
• actions/checkout v7, fork PR davranisini daha guvenli hale getiren degisikliklerle trending'te; agent CI calistirmalarinda default checkout davranisi kritik. Kaynak: https://github.com/actions/checkout

KAT-5 - Endustri & Sirketler

• The Register, C-suite'in usage-based AI billing modelini anlamakta zorlandigini yazdi; AI adoption sonrasi maliyet kontrolu CFO problemi haline geliyor. Kaynak: https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383
• Amazon Mechanical Turk yeni musteri kabulunu durduruyor; insan etiketleme ekonomisinin klasik katmani, synthetic/eval/agent cagina yeniliyor. Kaynak: https://www.theregister.com/off-prem/2026/07/03/amazons-mechanical-turk-to-stop-accepting-new-customers-and-not-even-ai-can-save-it/5266274
• Kling, 2 milyar dolar raise ile Hong Kong IPO hattina hazirlaniyor; AI video pazari sermaye tarafinda hala sicak. Kaynak: https://the-decoder.com/chinese-ai-video-maker-kling-raises-2-billion-as-it-gears-up-for-hong-kong-ipo
• Microsoft, overhauled Copilot ve AutoPilot agents ile super-app yarısına girdi; enterprise assistant'lar tek pencereye toplanıyor. Kaynak: https://the-decoder.com/microsoft-follows-anthropic-and-openai-into-the-ai-super-app-race-with-overhauled-copilot-and-autopilot-agents/

KAT-6 - AI Agent'lar

• AgenticDataBench, data agent'lari icin kapsamli benchmark sunuyor; SQL/BI/ETL agent'larinda sadece task completion degil veri muhakemesi olculmeli. Kaynak: https://arxiv.org/abs/2607.01647
• PACE, agentic capability evaluation icin proxy oneriyor; hizli ama eksik benchmark riskiyle birlikte izlenmeli. Kaynak: https://arxiv.org/abs/2607.02032
• AgenticSTS, bounded-memory long-horizon agent testbed'i olarak bugunku agent memory hattina oturuyor. Kaynak: https://arxiv.org/abs/2607.02255
• SkillCoach, agentic skill-use icin self-evolving rubrics oneriyor; Oracle skill governance tarafina dogrudan uygulanabilir fikir. Kaynak: https://arxiv.org/abs/2607.01874
• ContextNest, autonomous agent'lar icin verifiable context governance oneriyor; compaction/memory/source trust problemleri icin izlenmeli. Kaynak: https://arxiv.org/abs/2607.02116

KAT-7 - Multimodal

• DeepMind-A24 partnership, creative production icin research-grade AI collaboration sinyali verdi; video, narrative ve generative media pipeline'lari yakindan izlenmeli. Kaynak: https://deepmind.google/blog/google-deepmind-and-a24-announce-first-of-its-kind-research-partnership/
• AnyGroundBench, specialized-domain video grounding icin benchmark sunuyor; video ajanlarinda "gordu mu, anladı mı" ayrimi olculebilir hale geliyor. Kaynak: https://arxiv.org/abs/2607.02269
• Visually Grounded Self-Reflection, vision-language model'larda RL ile self-reflection davranisini multimodal zemine baglamayi hedefliyor. Kaynak: https://arxiv.org/abs/2607.02490
• VisionAId, offline-first multimodal Android assistant olarak gorme engelliler icin personalized object retrieval sunuyor; edge accessibility iyi use-case. Kaynak: https://arxiv.org/abs/2607.02371

KAT-8 - Robotik & Embodied AI

• WorldSample, real-robot RL'i world modelling ile closed-loop hale getirmeyi hedefliyor; robot learning tarafinda simulator-real gap icin izlenmeli. Kaynak: https://arxiv.org/abs/2607.02431
• VLAFlow, vision-language-action modelleri icin co-training ve future latent alignment framework'u sunuyor; VLA egitimi tekil model yarısından pipeline yarısına kayıyor. Kaynak: https://arxiv.org/abs/2607.01586
• Adaptive Companionship for Group-Following Robots, degisen grup formasyonlarinda sosyal robot takibini inceliyor; embodied AI sosyal davranis tarafinda pratik sinyal. Kaynak: https://arxiv.org/abs/2607.01287
• CaP-X, robot manipulation icin coding agent benchmark/improvement framework'u olarak bugunku agent-robot kesisimlerinden biri. Kaynak: https://arxiv.org/abs/2603.22435

KAT-9 - Veri & Altyapi

• Cloudflare Town Lake ve Skipper, operasyonel, billing, security ve business verisini tek AI analytics platformunda birlestirme denemesi; internal data fabric ihtiyaci net. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• Databricks, OLTP ve OLAP birlestirme iddiasiyla veri mimarisinde copy semantics tartismasini yeniden acti. Kaynak: https://www.theregister.com/databases/2026/07/03/databricks-unifies-oltp-and-olap-depending-on-what-counts-as-a-copy/5265733
• PyTorch test infrastructure yazisi, framework kalitesinin sadece model API degil devasa test matrisini yonetmek oldugunu hatirlatiyor. Kaynak: https://pytorch.org/blog/understanding-pytorchs-test-infrastructure/
• Amazon Leo constellation 400 uyduya yaklasiyor; edge connectivity ve global inference deployment icin uydu broadband altyapisi izlenmeli. Kaynak: https://www.theregister.com/networks/2026/07/03/amazon-leo-constellation-nears-400-satellites-as-broadband-launch-looms/5266588

SECURITY

• NetNut proxy network operasyonu, 2 milyon enfekte cihazin kesilmesiyle botnet-proxy-risk zincirini gosterdi; AI agent'larin outbound network policy'si siki tutulmali. Kaynak: https://www.bleepingcomputer.com/news/security/netnut-proxy-network-disrupted-2-million-infected-devices-cut-off/
• AdaptHealth saldirisinda attacker'lar cloud sistemlere sosyal muhendislikle girip hasta verisi caldi; identity ve cloud access posture hala ana zayiflik. Kaynak: https://www.theregister.com/security/2026/07/03/adapthealth-crooks-stole-our-passwords-patient-health-data/5266512
• ARToken PhaaS, EvilTokens Microsoft 365 phishing toolkit'ini aciga cikardi; Microsoft 365 session theft pazari canli. Kaynak: https://www.bleepingcomputer.com/news/security/artoken-phaas-exposes-eviltokens-microsoft-365-phishing-toolkit/
• Startup, AI-hallucinated raporun kendisini Çin casusluguyla iliskilendirdigini soyleyerek Palo Alto Networks/Koi Security'ye dava acti; AI security raporlarinda kanit zinciri hukuki risk. Kaynak: https://www.theregister.com/legal/2026/07/02/startup-sues-palo-alto-networks-koi-security-saying-an-ai-hallucinated-report-falsely-linked-it-to-chinese-espionage/5266201

REGULATION

• Claude Code'un Çin baglamindaki karsilikli yasak problemi, frontier coding agent'larin ihracat, yaptirim ve platform policy alanina cekildigini gosteriyor. Kaynak: https://the-decoder.com/claude-codes-complicated-china-problem-involves-bans-on-both-sides-of-the-pacific/
• AB'nin Google Android cezasinin kesinlesmesi, platform dominance regülasyonunun AI platformlarina da tasinacak onemli emsal oldugunu hatirlatiyor. Kaynak: https://webrazzi.com/2026/07/03/avrupa-birligi-nin-google-a-kestigi-4-1-milyar-euroluk-android-cezasi-kesinlesti/
• Failed blockchain project cezası, "teknoloji vaadi" ile gercek teslimat arasindaki acigin regulator tarafindan cezalandirildigini gosteriyor; AI startup pitch'leri icin de emsal. Kaynak: https://www.theregister.com/software/2026/07/03/failed-blockchain-project-ends-with-big-fine-for-fibs-about-it-being-on-track/5266297
• AI search opt-out ve publisher/user choice tartismasi sosyal akista suruyor; AI Overviews/crawler ekonomisi regulasyon baskisini koruyor. Kaynak: https://mastodon.social/@knoppix95/116852606741088510

AI-SCIENCE

• BFF, "Computational Life" hattinda kompleks fenomenler icin basit aciklamalar ariyor; AI-biology sinirinda teorik arastirma. Kaynak: https://arxiv.org/abs/2607.01483
• Dendritic In-Context Learning, tek katmanli spiking neural network ile ICL davranisini inceliyor; transformer disi hesaplama metaforlari gucleniyor. Kaynak: https://arxiv.org/abs/2607.02283
• Electronic Bursting Neuron, spiking network donanimi icin elektronik bursting neuron tasarimi sunuyor; neuromorphic hardware hatti canli. Kaynak: https://arxiv.org/abs/2607.02122
• MolSight, chemical image understanding icin graph-aware vision-language model oneriyor; bilimsel multimodal modeller domain-specialized hale geliyor. Kaynak: https://arxiv.org/abs/2607.01982

INFRA

• Datacenter'lar icin 3D-printed nuclear reactor module hedefleyen startup, AI compute enerji darboğazinin radikal cozumlere itildigini gosteriyor. Kaynak: https://www.theregister.com/systems/2026/07/03/startup-targets-datacenters-with-3d-printed-nuclear-reactor-module/5266480
• Nvidia'nin datacenter financing modeli "double-dipping" tartismasi yaratti; GPU arzinin finansman mimarisi en az silicon kadar onemli. Kaynak: https://www.theregister.com/ai-and-ml/2026/07/02/nvidia-floats-double-dipping-datacenter-financing-scheme/5266184
• EU datacenter emissions offset tartismasi, AI altyapisinda karbon muhasebesinin politik ve operasyonel basincini artiriyor. Kaynak: https://www.theregister.com/on-prem/2026/07/03/eu-appears-to-find-datacenter-emissions-easier-to-offset-than-lobbyists/5265814
• Fastly'nin edge capacity planlamada Gini coefficient kullanimi, dagitik altyapida uneven demand'i olcmek icin iyi pratik sinyal. Kaynak: https://www.fastly.com/blog/using-gini-coefficient-plan-edge-capacity

SAFETY

• OpenSafeIntent, dual-use prompt setlerinde intent-calibrated safe completion'i olcmeye odaklaniyor; refusal kalitesi niyet ayrimi olmadan olculemez. Kaynak: https://arxiv.org/abs/2607.02047
• LACUNA, LLM unlearning icin localization precision testbed'i sunuyor; PII ve sensitive memorization silme iddialari daha sert olculecek. Kaynak: https://arxiv.org/abs/2607.02513
• Safety Testing LLM Agents at Scale, risk discovery'den evidence-grounded verification'a uzanan agent safety hattini inceliyor. Kaynak: https://arxiv.org/abs/2607.01793
• LawZero'nun "honest predictors" tartismasi, alignment'i preference-following yerine disinterested truthfulness uzerinden kurma fikrini sosyal akista tekrar gundeme getirdi. Kaynak: https://mastodon.social/@beyondthecode/116853329760287834

WATCHLIST

• ChromeDevTools MCP: browser-grounded agent verification icin standard tool olabilir; OpenClaw CDP hattiyla uyumluluk test edilmeli. Kaynak: https://github.com/ChromeDevTools/chrome-devtools-mcp
• agentskills spec: skill paketleme/versiyonlama icin ortak format sinyali; mevcut skill workshop ve Codex skill formatlariyla karsilastirilmali. Kaynak: https://github.com/agentskills/agentskills
• Cloudflare Skipper: internal analytics agent'lari icin data lake + governed query modeli; Oracle dashboard/metrics icin pattern alinabilir. Kaynak: https://www.infoq.com/news/2026/07/cloudflare-unified-data-platform/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• GitHub Copilot metrics: agent maliyet ve verimlilik raporlamasi icin daha dogru telemetry; OpenClaw cost dashboard tarafina benzer metrikler eklenebilir. Kaynak: https://github.blog/changelog/2026-07-02-improved-accuracy-and-coverage-in-copilot-usage-metrics-reports
• Hardwood Parquet: JVM/Java data stack'lerinde dependency azaltimi; lightweight analytics pipeline icin takip edilmeli. Kaynak: https://www.infoq.com/news/2026/07/hardwood-java-parquet/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

CikCik Paketi

• Simon Willison, Fable icin "modelin kendi judgement'ini kullanmasina izin ver" ipucunu one cikardi; agent prompt'larinda gereksiz mikro-yonetim maliyetli olabilir. Kaynak: https://simonwillison.net/2026/Jul/3/judgement/
• Simon Willison, LLM Python library uzerinde neredeyse tek seferde CLI coding agent denemesi paylasti; tek kisilik tooling anlatilari iyi X thread malzemesi. Kaynak: https://simonwillison.net/2026/Jul/2/llm-coding-agent/
• Hamel Husain'in "favori framework: Python" sinyali, agent framework hype'ina karsi basitlik anlatisi icin guclu. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE5jOUtScFNZX2dHTjQ1UHFweEtiQksyZGktRWJBRDNlemVnMHpqU3RJVE1tbHRYd1VpZlRYYXgxVWVuUFcxdml1blBfcER1SnN1X2t6dzcyd2RVQzJvMG9oQWRn?oc=5
• "Claude ve Codex'i token tasarrufu icin caveman gibi konusturma" sosyal akista komik ama gercek maliyet baskisini gosteriyor; CikCik icin mizahi post konusu. Kaynak: https://kolektiva.social/@pivic/116857908712595809
• Kagi changelog'daki AI toggle tartismasi, kullanici kontrolu ve "AI opt-in/opt-out" anlatilari icin iyi gundem. Kaynak: https://kagi.com/changelog#10959
• "AI bot cyberbullied a programmer" HN/Mastodon akisi, autonomous bot davranisi ve itibar riski icin dikkat cekici sosyal vaka. Kaynak: https://mastodon.social/@h4ckernews/116857763865981692

Rehberler & Kaynaklar

• Jamesob local-llm guide, SOTA LLM'leri lokal calistirma icin sosyal akista one cikti; local inference rehberi olarak saklanmali. Kaynak: https://github.com/jamesob/local-llm
• PyTorch test infrastructure yazisi, framework-level test mimarisi anlamak icin pratik kaynak. Kaynak: https://pytorch.org/blog/understanding-pytorchs-test-infrastructure/
• Harvard Edge ML Systems book, ML sistemleri icin acik kaynak ders kitabi olarak trending'te; altyapi ogrenme listesine eklenmeli. Kaynak: https://github.com/harvard-edge/cs249r_book
• "Who owns the code that Claude wrote?" tartismasi, AI-authored code ownership icin okunacak hukuki/etik kaynak. Kaynak: https://phpc.social/@Crell/116857295276566516

Oracle Self-Improvement Sinyalleri

• Dedupe runtime sinyali: Social collector 4094 item uretince dedupe yaklasik 6 dakikaya uzadi; fingerprint/semantic dedupe icin sosyal kaynaklara pre-filter eklenmeli. Kaynak: https://github.com/agentskills/agentskills
• Kaynak kalitesi sinyali: Twitter fallback, Google News/X proxy ile cok eski veya dolayli linkler getirdi; CikCik tarafinda canonical URL cozumleme ve tarih filtresi sertlestirilmeli. Kaynak: https://simonwillison.net/2026/Jul/3/judgement/
• Agent governance sinyali: ContextNest, provenance analysis ve SkillCoach paper'lari Oracle'in memory/source/skill pipeline'ina dogrudan uygulanabilir. Kaynak: https://arxiv.org/abs/2607.02116 ve https://arxiv.org/abs/2607.01236 ve https://arxiv.org/abs/2607.01874
• Cost telemetry sinyali: Copilot usage metrics ve AI bills haberleri, OpenClaw cost dashboard'a "agent session cost / active duration / suggested lines" gibi operasyonel metrikler eklenmesini destekliyor. Kaynak: https://github.blog/changelog/2026-07-02-improved-accuracy-and-coverage-in-copilot-usage-metrics-reports ve https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383

Kaynak Ozeti

• Toplam akis: 7005 ham item, 2159 benzersiz item, 98 benzersiz kaynak, 5/5 kaynak ailesi kapsandi.
• Aile kapsami: rss/news 1371 ham -> 166 unique; search 522 ham -> 264 unique; community 67 ham -> 65 unique; social 4094 ham -> 916 unique; academic/api 951 ham -> 748 unique.
• Baskin unique kaynaklar: arxiv/cs.LG 191, arxiv/cs.AI 173, arxiv/cs.CL 139, google_news/ai 71, google_news/security 71, Hamel Husain fallback 66.
• Kategori dagilimi: CAT-04 research 605, CAT-14 social 863, CAT-00 genel 446; CAT-06 yalnizca 1 item ile ince kaldi.

Coverage / Blind Spots

• Missing family yok; rss/news, search, community, social ve academic/api dosyalari uretildi.
• Empty topic yok; topics_expected 10, topics_covered 10.
• Thin family yok, fakat community 67 ham item ile diger ailelere gore dar kaldi; Reddit r/LocalLLaMA ve r/artificial 429 verdi. Kaynak: https://www.reddit.com/r/LocalLLaMA/ ve https://www.reddit.com/r/artificial/
• Search akisi Google News/Bing aggregator linklerine dayaniyor; canonical URL cozumleme hala gerekli. Kaynak: https://news.google.com/ ve https://www.bing.com/news

Bu Gece Sistem Ne Ogrendi

• Rising entities onceki artifact'ta Meta, AI Regulation, Google, AI Agents, Anthropic, Claude, OpenAI ve RAG olarak gelmisti; bugunku yeni sinyal bunlari "agent eval + security + cost telemetry" ucgeninde birlestirdi. Kaynak: https://the-decoder.com/uks-ai-security-institute-finds-standard-benchmarks-systematically-underestimate-what-ai-agents-can-actually-do
• Recurrent theme "Launches, Regulation, Models, Agents, Tooling" bugun "maliyet, guvenlik ve olcum" tarafina evrildi; sadece model duyurusu raporlamak artik dusuk sinyal. Kaynak: https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383
• Source reliability dersi: social fallback faydali ama cok gürültülü; direct Bluesky/Mastodon daha temiz, X fallback ise tarih ve canonical filtre istemeye devam ediyor. Kaynak: https://bsky.app/profile/simonwillison.net ve https://mastodon.social/
• Bir sonraki run icin operasyon dersi: dedupe oncesi social kaynaga max-age ve source whitelist uygulanirsa rapor kalitesi artar, runtime duser. Kaynak: https://arxiv.org/abs/2607.01236

Dedupe & Kalite Notu

Bu rapordaki maddeler onceki 3 gunun raporlarina gore kontrol edildi; Strix ve Meta Pocket gibi tekrar eden haberler rapora alinmadi. Toplam 7005 item islendi, merge sonrasi 6120 kayit kaldı, dedupe sonrasi 2159 benzersiz item rapor havuzuna girdi. Dedupe sonucu: 3941 fingerprint tekrari, 20 semantik tekrar, 1 guncelleme elendi.