Oracle Gece Arastirma v3 - 2026-08-01

Curated by Mahsum Aktaş · Automated daily AI industry scan

Oracle Gece Arastirma v3 - 2026-08-01

Otomatik derleme | v3 pipeline | 7.621 raw item | 4.148 input unique | 3.790 raporlanabilir item | 108 benzersiz kaynak | 5/5 kaynak ailesi

Gunun Ozeti

Bugunun ana ekseni fiyat-performans savasi, agent guvenligi ve synthetic media riskinin platform seviyesine cikmasi oldu. OpenAI Avrupa sorumlu AI paketini ve "abundant intelligence" anlatimini one cekerken, DeepSeek V4 Flash fiyat/performans tarafinda GPT-5.6 Luna'ya yaklasan bir hamleyle sosyal ve model ekosistemini hareketlendirdi. Kaynak: https://openai.com/index/advancing-responsible-ai-across-europe ve https://the-decoder.com/new-deepseek-flash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/

Guvenlik tarafinda AI ajanlarinin sandbox disina tasmasi, DeepSeek destekli otonom saldiri, Adform supply-chain olayi ve ESET'in malicious AI skills uyarisi ayni tabloyu veriyor: agent kabiliyeti arttikca guvenlik denetimi runtime, dependency ve identity katmanlarina yayiliyor. Kaynak: https://www.bleepingcomputer.com/news/security/hacker-uses-deepseek-ai-to-autonomously-attack-vulnerable-servers/ ve https://www.bleepingcomputer.com/news/security/online-ad-firm-adforms-script-compromised-to-steal-cryptocurrency/ ve https://www.bleepingcomputer.com/news/security/eset-tracks-rise-in-malicious-ai-skills-and-adaptable-malware/

Platformlarda ise Google Earth'un AI image editing ozelligini bir gun icinde geri cekmesi, Snapchat'in tam AI uretimi Spotlight icerigini odullendirmemesi ve muzik listeleri icin AI slop kurallari tartismasi, synthetic media'nin moderation ve provenance meselesine dondugunu gosterdi. Kaynak: https://techcrunch.com/2026/07/31/google-nixes-its-earth-ai-feature-one-day-after-launch-amid-criticism-it-would-spread-misinformation/ ve https://techcrunch.com/2026/07/31/snapchat-no-longer-rewards-fully-ai-generated-spotlight-content/ ve https://www.theverge.com/ai-artificial-intelligence/973741/ai-music-major-record-labels-charts

Top 7

1. DeepSeek V4 Flash 0731, maliyet/zeka ekseninde GPT-5.6 Luna'ya yaklasan bir model anlatimi olusturdu; LocalLLaMA ve Hugging Face tarafinda da ayni model etrafinda yogunluk var. Kaynak: https://the-decoder.com/new-deepseek-flash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/ ve https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
2. Google Earth'un AI ile uydu goruntusu manipule eden ozelligi dezenformasyon tepkisiyle bir gun icinde kaldirildi; geospatial AI icin provenance ve watermarking artik urun karari. Kaynak: https://techcrunch.com/2026/07/31/google-nixes-its-earth-ai-feature-one-day-after-launch-amid-criticism-it-would-spread-misinformation/
3. OpenAI, Avrupa'da EU AI Act baglamina oturan safety, security, transparency ve provenance paketini yayinladi; reguelasyon ile urun guvenligi ayni metinde birlesiyor. Kaynak: https://openai.com/index/advancing-responsible-ai-across-europe
4. AWS, Amazon Quick icin Agentic Catalog Experience ve Bedrock AgentCore Observability duyurdu; enterprise agent operasyonu artik katalog, lineage ve observability problemi. Kaynak: https://aws.amazon.com/blogs/machine-learning/announcing-the-agentic-catalog-experience-in-amazon-quick/ ve https://aws.amazon.com/blogs/machine-learning/optimizing-production-agents-with-amazon-bedrock-agentcore-observability/
5. BleepingComputer, DeepSeek ve Hermes Agent kullanan tehdit aktorunun acik sunuculara otonom saldiri yurutmesini raporladi; open model + agent harness kombinasyonu guvenlik operasyonlarinin yeni sahasi. Kaynak: https://www.bleepingcomputer.com/news/security/hacker-uses-deepseek-ai-to-autonomously-attack-vulnerable-servers/
6. CNBC ve Nikkei, AI buildout'un cash burn ve memory cost tarafini tekrar isaret etti; model yarisi sermaye, HBM/DRAM ve data center finansmanina baglandi. Kaynak: https://www.cnbc.com/2026/07/31/tech-earnings-cash-memory-ai.html ve https://asia.nikkei.com/business/technology/artificial-intelligence/four-us-tech-giants-bled-95bn-in-cash-in-q2-on-soaring-ai-investments
7. Thinking Machines, Inkling Small ile "daha buyuk model" yerine verimli open-weights reasoning hattina oynadi; model anlatimi parametre sayisindan inference ekonomisine kayiyor. Kaynak: https://the-decoder.com/thinking-machines-bets-on-efficiency-over-size-with-its-second-model-inkling-small/ ve https://huggingface.co/thinkingmachines/Inkling-Small

Trend Analizi

• Spike: Anthropic, Cohere, DeepMind, DeepSeek ve GPT-4o son 7 gun penceresinde spike olarak gorundu; bugun ozellikle DeepSeek V4 Flash ve Anthropic/agent guvenligi haberi bu hareketi tasidi. Kaynak: https://the-decoder.com/new-deepseek-flash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/
• Yukselis: AI Agents, AI Safety, Amazon, Apple ve Autonomous trendleri yukseliste; AWS AgentCore Observability, Apple Siri paywall sinyali ve otonom saldiri haberleri bu temalari dogruladi. Kaynak: https://aws.amazon.com/blogs/machine-learning/optimizing-production-agents-with-amazon-bedrock-agentcore-observability/ ve https://techcrunch.com/2026/07/31/siri-ai-could-come-with-a-paywall-for-power-users/
• Azalis: Llama 4 dususte; bugunku topluluk enerjisi daha cok DeepSeek V4 Flash, Inkling Small, Kimi K3 maliyeti ve agent memory paper'lari etrafinda. Kaynak: https://www.reddit.com/r/LocalLLaMA/comments/1vbp7kb/deepseekaideepseekv4flash0731_on_huggingface/ ve https://www.digitalocean.com/community/tutorials/self-hosting-kimi-k3

KAT-1 - Meta / Ekosistem

• OpenAI "Building abundant intelligence" metniyle fiyat, kapasite ve kullanim genislemesini full-stack strateji olarak anlatti; frontier model anlatimi daha acik sekilde maliyet dusurme ve dagitim capina baglaniyor. Kaynak: https://openai.com/index/building-abundant-intelligence
• CNBC, Alphabet, Amazon ve Microsoft'un hafta icinde toplam piyasa degerine yaklasik 1,5 trilyon dolar ekledigini aktardi; AI hisseleri hala sermaye piyasasinda ana yon belirleyici. Kaynak: https://www.cnbc.com/2026/07/31/apple-aapl-amazon-amzn-stock-today.html
• Reddit'in AI Overviews trafik etkisiyle ilgili kaygisi, AI arama katmaninin platform ekonomisine dogrudan dokundugunu gosteriyor. Kaynak: https://www.cnbc.com/2026/07/30/reddit-ceo-says-googles-ai-overviews-cant-replace-10-blue-links-.html

KAT-2 - LLM & Model Guncellemeleri

• DeepSeek V4 Flash 0731, Hugging Face ve TechNode akisinda public beta / model release olarak one cikti; agent gorevleri ve fiyat-performans modeli bugunun ana LLM konusu. Kaynak: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 ve https://technode.com/2026/07/31/deepseek-puts-v4-flash-api-into-public-beta/
• Thinking Machines'in Inkling Small modeli, daha kucuk open-weights reasoning modeli olarak efficiency narrative'ini guclendirdi. Kaynak: https://the-decoder.com/thinking-machines-bets-on-efficiency-over-size-with-its-second-model-inkling-small/ ve https://huggingface.co/thinkingmachines/Inkling-Small
• OpenAI GPT-5.6 fiyat indirimi BleepingComputer tarafindan maliyet verimliligi basligi olarak raporlandi; Luna ve Terra fiyatlari, agentic workflow maliyetlerinde yeni taban beklentisi yaratabilir. Kaynak: https://www.bleepingcomputer.com/news/artificial-intelligence/openai-says-its-new-gpt-56-models-are-becoming-more-cost-efficient/

KAT-3 - Guvenlik

• DeepSeek AI ve Hermes Agent kullanan tehdit aktoru, acik sunuculara otonom cyberattack yurutmek icin model destekli harness kullandi; bu, "AI-assisted"dan "agent-conducted" saldiriya gecis sinyali. Kaynak: https://www.bleepingcomputer.com/news/security/hacker-uses-deepseek-ai-to-autonomously-attack-vulnerable-servers/
• Adform script compromise olayi, online reklam supply-chain'inin wallet hijacking icin kullanildigini gosterdi; third-party JS hala kritik blast radius. Kaynak: https://www.bleepingcomputer.com/news/security/online-ad-firm-adforms-script-compromised-to-steal-cryptocurrency/
• CISA, ABD su tesislerinde internet-exposed PLC'lere yonelik saldirilarin arttigini duyurdu; critical infra tarafinda OT guvenligi acil risk. Kaynak: https://www.bleepingcomputer.com/news/security/cisa-warns-of-cyberattacks-disrupting-us-water-utilities/
• ESET, malicious AI skills ve adaptable malware trendini izledi; skill/plugin ekosistemi saldirganlar icin yeni tasima katmani oluyor. Kaynak: https://www.bleepingcomputer.com/news/security/eset-tracks-rise-in-malicious-ai-skills-and-adaptable-malware/

KAT-4 - Arastirma & Paper'lar

• LayerRAG-Bench, agentic RAG sistemlerinin evidence, tool-contract, authorization ve synthesis katmanlarinda guvenilirlik problemlerini benchmark'liyor; RAG artik sadece retrieval kalitesi degil, control-plane guvenilirligi. Kaynak: https://arxiv.org/abs/2607.27353
• ChronoMem, agent memory icin version control ve semantic rollback oneriyor; uzun oturumlu ajanlarda hafiza hatasi geri alinabilir hale gelmeli. Kaynak: https://arxiv.org/abs/2607.27773
• ORCA-bench, oncall RCA icin LLM agent hazirligini olcuyor; coding agent benchmark'lari noisy metrics, logs ve incident context tarafina kayiyor. Kaynak: https://arxiv.org/abs/2607.28545
• Frontis-MA1, AI4AI / recursive self-improvement icin machine learning engineering modelini hedefliyor; self-improving agent literaturu daha somut MLE gorevlerine iniyor. Kaynak: https://arxiv.org/abs/2607.28568

KAT-5 - Reguelasyon & Politika

• OpenAI Avrupa'da responsible AI pratiklerini EU AI Act ilerleyisiyle hizaladigini anlatti; provenance ve transparency reguelasyon uyumu icin ana baslik. Kaynak: https://openai.com/index/advancing-responsible-ai-across-europe
• ABD milletvekilleri DoorDash'ten Cinli AI modelleri kullanimina dair bilgi istedi; model tedarik zinciri ulusal guvenlik ve veri yonetisimi sorusuna donuyor. Kaynak: https://www.cnbc.com/2026/07/31/us-lawmakers-doordash-chinese-ai-models.html
• Ars Technica, Reddit'in Perplexity/web scraper DMCA davasinin surdugunu aktardi; AI arama ve scraping hukuku platformlar arasi cekismenin merkezinde. Kaynak: https://arstechnica.com/tech-policy/2026/07/reddit-keeps-weird-dmca-lawsuit-against-web-scraper-alive-despite-googles-loss/

KAT-6 - Araclar & Framework'ler

• GitHub, enterprise teams model policy targeting public preview duyurdu; AI model kullanimi org/team bazinda policy kontrollu hale geliyor. Kaynak: https://github.blog/changelog/2026-07-31-enterprise-teams-model-policy-targeting-in-public-preview
• GitHub, npm bypass-2FA granular access token kisitlamasini duyurdu; package ecosystem'de token hardening devam ediyor. Kaynak: https://github.blog/changelog/2026-07-31-restricting-npm-bypass-2fa-granular-access-tokens
• Dropbox, MCP ile Dash'i baglayarak AI code review sirasinda threat model ve security design context'i yuzeye cikardi; MCP, review tool'u olmaktan security knowledge plane'e genisliyor. Kaynak: https://www.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering
• ChromeDevTools/chrome-devtools-mcp GitHub trending'de one cikti; coding agent'lar icin browser inspection tooling'i pratik gelistirme hattina giriyor. Kaynak: https://github.com/ChromeDevTools/chrome-devtools-mcp

KAT-7 - AI Agent'lar

• AWS Agentic Catalog Experience, data curator'larin upstream catalog asset bulma ve dataset/topic olusturma islerini agentic workflow'a tasiyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/announcing-the-agentic-catalog-experience-in-amazon-quick/
• AWS Bedrock AgentCore Observability, production agent'larda latency, cost ve behavior debugging icin governance katmani olarak konumlandi. Kaynak: https://aws.amazon.com/blogs/machine-learning/optimizing-production-agents-with-amazon-bedrock-agentcore-observability/
• Hugging Face speech-to-speech projesi, local voice agent pipeline'ini VAD, STT, LLM ve TTS modulleriyle acik kaynak olarak paketliyor. Kaynak: https://github.com/huggingface/speech-to-speech
• mvanhorn/last30days-skill, Reddit, X, YouTube, HN, Polymarket ve web uzerinden agent-led research sentezi yapiyor; "research skill" urunlesmesi hizli. Kaynak: https://github.com/mvanhorn/last30days-skill

KAT-8 - Altyapi & Veri

• CNBC, tech AI buildout'unda nakit dususu ve memory cost artisini birlikte isaret etti; AI capex artik sadece GPU degil, memory ve free cash flow meselesi. Kaynak: https://www.cnbc.com/2026/07/31/tech-earnings-cash-memory-ai.html
• Nikkei, dort ABD tech devinin Q2'de AI yatirimlari nedeniyle 95 milyar dolar cash burn yasadigini yazdi; veri merkezi yarisi bilanconun merkezinde. Kaynak: https://asia.nikkei.com/business/technology/artificial-intelligence/four-us-tech-giants-bled-95bn-in-cash-in-q2-on-soaring-ai-investments
• The Register, UK'nin data center grid connection talepleri icin fee planini aktardi; compute kapasitesi enerji grid kuyrugu ve mali disiplinle sinirlaniyor. Kaynak: https://www.theregister.com/systems/2026/07/31/uk-wants-datacenters-to-pay-a-fee-for-grid-connection-requests/5281248
• Cloudflare, MoQ icin izole relay provisioning API'si duyurdu; real-time media ve distributed transport altyapisi gelistiricilere daha programatik hale geliyor. Kaynak: https://blog.cloudflare.com/moq-relays/

KAT-9 - Topluluk & Tartismalar

• LocalLLaMA, DeepSeek V4 Flash 0731 GGUF ve VRAM gereksinimleri etrafinda yogunlasti; model degerlendirme artik "hangi benchmark" kadar "hangi donanimda kac tok/s" sorusu. Kaynak: https://www.reddit.com/r/LocalLLaMA/comments/1vbwuq0/deepseekv4flash0731_unsloth_gguf_on_a100/
• MachineLearning subreddit'inde Kimi K3 teknik raporunu anlamak icin learning path arayisi dikkat cekti; frontier open-weight modeller artik egitim rotasi talebi doguruyor. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1vbvlft/learning_path_to_fully_understand_the_kimi_k3/
• ML akademi tartismalarinda review kalitesi, meta-review ve AI-generated rebuttal sikayetleri suruyor; conference workflow'lari AI caginda daha fazla denetim istiyor. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1vbeqhw/if_reviewing_is_mandatory_for_paper_submissions/
• Mastodon akisi, Google Earth AI synthetic imagery ve DeepSeek Flash fiyat/performans haberlerini hizli tasidi; topluluk sinyali synthetic media + cheap intelligence ekseninde. Kaynak: https://mastodon.social/@beyondthecode/117016045386472175 ve https://mastodon.social/@sipirtu/117016720111586389

SECURITY

• JetBrains, TeamCity On-Premises icin critical auth bypass/RCE acigi konusunda uyardi; CI/CD sunuculari agentic coding doneminde daha degerli hedef. Kaynak: https://www.bleepingcomputer.com/news/security/jetbrains-warns-of-critical-teamcity-remote-code-execution-flaw/
• Zero Day Initiative, Hugging Face PyTorch Image Models checkpoint deserialization RCE acigini yayinladi; model/checkpoint tedarik zinciri kod calistirma riskinden ayrilamiyor. Kaynak: http://www.zerodayinitiative.com/advisories/ZDI-26-523/
• The Register, ShinyHunters'in fiziksel guvenlik markasini SaaS tarafindan vurdugunu aktardi; security brand'i olmak SaaS posture hatalarini tolere ettirmiyor. Kaynak: https://www.theregister.com/security/2026/07/31/the-most-famous-brand-in-physical-security-got-pwned-by-shinyhunters/5281924
• Snyk, AI'in yazilim gelistirmeyi ve saldirgan hizini ayni anda artirdigini; AI-built code icin continuous testing ve independent validation gerektigini yazdi. Kaynak: https://snyk.io/blog/attacker-never-sleeps-neither-can-testing/

REGULATION

• OpenAI'in Avrupa metni, safety, security, transparency ve provenance pratiklerini reguelasyon ciktisi olarak paketliyor; compliance urun seviyesine iniyor. Kaynak: https://openai.com/index/advancing-responsible-ai-across-europe
• The Register, Avrupa firmalarinin cloud/AI altyapisinda sovereignty kaygisini en bastan tasarima koydugunu aktardi; sovereign AI sadece kamu programi degil, buyer requirement. Kaynak: https://www.theregister.com/ai-and-ml/2026/07/31/tech-buyers-are-baking-in-sovereignty-from-day-one-says-forrester/5281208
• Major labels, AI music iceriginin chart eligibility kurallari icin oneriler sundu; AI slop tartismasi telif ve ranking mekanizmasina tasindi. Kaynak: https://www.theverge.com/ai-artificial-intelligence/973741/ai-music-major-record-labels-charts

AI-SCIENCE

• EMBL AI Librarian, life-sciences knowledge layer'i agent'lar icin ozel bir bilgi altyapisi olarak tarif ediyor; bilimsel agent'larin domain-specific knowledge plane'e ihtiyaci artiyor. Kaynak: https://arxiv.org/abs/2607.28229
• Oracle-Budgeted Molecular Optimization, kisitli oracle budget ile molekuler optimizasyonu graph memory kullanarak ele aliyor; AI-for-science'ta "hangi deney denenmeli" karari daha merkezi. Kaynak: https://arxiv.org/abs/2607.28437
• Shared Semantic Codebook Distillation, medical classification'da pahali teacher modality bilgisini daha deployable student modality'ye aktarmayi hedefliyor; klinik AI maliyet/erisim ekseninde ilerliyor. Kaynak: https://arxiv.org/abs/2607.27357
• LoMeVQA, longitudinal medical VQA benchmark'i sunuyor; klinik multimodal modellerin tek goruntu degil, zaman icinde degisen hasta verisiyle olculmesi gerekiyor. Kaynak: https://arxiv.org/abs/2607.27806

INFRA

• NVIDIA Video Codec SDK 13.1, zero-copy transcode ve AV1 B-frames gibi video pipeline iyilestirmeleri getirdi; multimodal uygulamalarda video altyapisi compute maliyetinin parcasina donuyor. Kaynak: https://developer.nvidia.com/blog/nvidia-video-codec-sdk-13-1-zero-copy-transcode-av1-b-frames-and-frame-accurate-seek/
• NVIDIA nvmath-python, CUDA-X math kutuphanelerini Python scientific ekosistemine tasiyor; AI ve HPC stack'inde Python ergonomisi performans katmanina yaklasiyor. Kaynak: https://developer.nvidia.com/blog/run-high-performance-core-math-at-scale-with-nvidia-nvmath-python/
• Memory makers icin Nikkei'nin 90 milyar dolar cash flow haberi, HBM/DRAM ureticilerinin AI gold rush'tan dogrudan faydalandigini gosteriyor. Kaynak: https://asia.nikkei.com/business/tech/semiconductors/memory-makers-flush-with-90bn-cash-flow-on-ai-gold-rush
• DigitalOcean'un Kimi K3 self-hosting maliyet analizi, open-weight modelin "ucretsiz" degil memory ve hardware decision problemi oldugunu netlestiriyor. Kaynak: https://www.digitalocean.com/community/tutorials/self-hosting-kimi-k3

SAFETY

• Can Agents Deceive?, ParliamentBench ile agent'larda reasoning ve deception riskini sosyal deduction oyunu uzerinden olcuyor; high-stakes agent deployment icin deception eval'i gerekli. Kaynak: https://arxiv.org/abs/2607.28146
• Fidelity Is Not Safety, compressed LLM'lerin kalite guardrail'lerinden gecip agentic execution'da procedure step uydurabilecegini savunuyor; compression safety testi ayrilmali. Kaynak: https://arxiv.org/abs/2607.28196
• Scaling Vision-Language Models Is Not Enough to Mitigate Bias, VLM'lerde buyutmenin spurious correlation ve bias'i kendi basina cozmedigini gosteriyor; multimodal safety icin ayrica bias mitigation gerekiyor. Kaynak: https://arxiv.org/abs/2607.28211
• Can Vision-Language Models Reason about AI Edits in Images?, AI-tampered image detection ve localization guvenilirligini sorguluyor; Google Earth olayiyla ayni risk alanina denk dusuyor. Kaynak: https://arxiv.org/abs/2607.28464

WATCHLIST

• MemTxn, agent memory icin transaction boundary oneriyor; writable memory sistemlerinde source-supported update ve complete-state recovery kritik hale gelecek. Kaynak: https://arxiv.org/abs/2607.27834
• ThreatForest, multi-agent attack tree generation ile pluggable TTP mapping oneriyor; threat modeling otomasyonunda agent'lar savunma tarafina da girebilir. Kaynak: https://arxiv.org/abs/2607.27528
• Change2Task, repo degisikliklerinden executable coding agent tasks uretmeyi hedefliyor; coding agent egitimi icin surekli ve gercekci task data pipeline'i izlenmeli. Kaynak: https://arxiv.org/abs/2607.28591
• FaithEyes, VLM tool use icin multi-agent process-image verification oneriyor; agentic vision workflow'larinda adim bazli dogrulama onem kazanacak. Kaynak: https://arxiv.org/abs/2607.28225

TRENDS

• Price-performance trendi DeepSeek V4 Flash, OpenAI GPT-5.6 price move ve Inkling Small ile guclendi; model rekabetinde "en iyi" kadar "yeterince iyi ve ucuz" anlatimi baskin. Kaynak: https://the-decoder.com/new-deepseek-flash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/ ve https://www.bleepingcomputer.com/news/artificial-intelligence/openai-says-its-new-gpt-56-models-are-becoming-more-cost-efficient/
• Synthetic media governance trendi Google Earth rollback, Snapchat Spotlight policy ve music chart kurallariyla netlesti; platformlar AI icerigi icin sadece detection degil incentive redesign yapiyor. Kaynak: https://techcrunch.com/2026/07/31/google-nixes-its-earth-ai-feature-one-day-after-launch-amid-criticism-it-would-spread-misinformation/ ve https://techcrunch.com/2026/07/31/snapchat-no-longer-rewards-fully-ai-generated-spotlight-content/
• Agent memory trendi ChronoMem, MemTxn, Memory Decoder, RRM ve filesystem-based memory paper'lariyla yogunlasti; long-running agent'lar icin hafiza artik urun ozelligi degil reliability surface. Kaynak: https://arxiv.org/abs/2607.27773 ve https://arxiv.org/abs/2607.27834 ve https://huggingface.co/papers/2607.26637

CikCik Paketi

• Wired, Cinli AI arastirmacilarin X uzerinde daha gorunur hale geldigini yazdi; Batili lab calisanlari sessizlesirken global AI anlatimi daha cok Cinli arastirmacilar tarafindan tasiniyor. Kaynak: https://www.wired.com/story/chinese-ai-researchers-are-finding-their-voice-on-x/
• Mastodon'da Google Earth AI image generator sinyali, synthetic satellite imagery ve dezenformasyon riskini hizla yaydi. Kaynak: https://mastodon.social/@beyondthecode/117016045386472175
• Mastodon'da DeepSeek V4 Flash'in GPT-5.6 Luna'ya yakin zeka ve daha dusuk maliyet iddiasi model secimi tartismasini canlandirdi. Kaynak: https://mastodon.social/@sipirtu/117016720111586389
• Wired, AI slop melodramalarinin X'te milyonlarca goruntulenme aldigini ve creator ekonomisine donustugunu anlatti; platform tesvikleri AI slop'u buyutuyor. Kaynak: https://www.wired.com/story/ai-slop-melodramas-are-taking-over-x-and-their-creators-are-cashing-in/
• Mastodon ve Reddit akisinda DeepSeek V4 Flash GGUF, A100 testleri, VRAM sorulari ve local inference denemeleri yogunlasti. Kaynak: https://www.reddit.com/r/LocalLLaMA/comments/1vbwuq0/deepseekv4flash0731_unsloth_gguf_on_a100/ ve https://www.reddit.com/r/LocalLLaMA/comments/1vc0yvs/minimum_vram_gpu_to_run_deepseekv4flash0731_q4_k/

Oracle Self-Improvement Sinyalleri

• Pipeline 5/5 kaynak ailesini kapsadi; raw aileler rss/news, search, community, social ve academic/api olarak tam geldi. Kaynak: raw-sources/2026-08-01/merged.json
• Social collector 3.920 item uretmesine ragmen Twitter fallback akisi eski tarihli ve dusuk sinyal gurultusu tasiyor; CikCik paketi icin recency filter ve canonical URL resolver oncelikli. Kaynak: raw-sources/2026-08-01/social.json
• Dedupe sonucu 6.758 merge girisinden 4.148 unique input kaldi; 2.571 fingerprint tekrar ve 38 semantik tekrar yakalandi. Kaynak: raw-sources/2026-08-01/unique.json
• Codex CLI tabanli otomatik report-generator cagrisi bos yanitla dustu; fallback olarak prompt-only cikti ve unique veri uzerinden manuel synthesis yapildi. Kaynak: /tmp/v3-prompt.txt

Kaynak Ozeti

• Raw toplam: 7.621 item; merge sonrasi 6.758; dedupe sonrasi 4.148 input unique; raporlanabilir 3.790 item. Kaynak: raw-sources/2026-08-01/merged.json ve raw-sources/2026-08-01/unique.json
• Kaynak ailesi kapsami: rss/news 1.517 raw, search 512 raw, community 64 raw, social 3.920 raw, academic/api 937 raw. Kaynak: coverage summary, run 2026-08-01.
• Top topics: Launches 1.276, Models 1.194, Regulation 1.002, Security 436, Agents 435. Kaynak: coverage summary, run 2026-08-01.
• Baskin kaynaklar: social family 2.347 unique ile hacimli; academic/api 742 unique; search 327 unique; rss/news 277 unique; community 97 unique. Kaynak: coverage summary, run 2026-08-01.

Coverage / Blind Spots

• Eksik family: yok; 5/5 collector ailesi tamamlandi. Kaynak: coverage summary, run 2026-08-01.
• Bos topic: yok; topics_covered 10/10. Kaynak: coverage summary, run 2026-08-01.
• Ince family: community 64 raw ile en dusuk hacimli aile; Reddit 429'lari ve HN boslugu sinyal kaybina yol acabilir. Kaynak: raw-sources/2026-08-01/community.json
• Dusuk guven notu: Kantan News ve Twitter fallback sinyalleri ana kaynak degil, signal/provenance olarak tutulmali. Kaynak: raw-sources/2026-08-01/rss.json ve raw-sources/2026-08-01/social.json

Bu Gece Sistem Ne Ogrendi

• Recurring themes Launches, Regulation, Models, Agents ve Tooling bugun yine veriyle dogrulandi; ancak "Models" basligi capability yerine fiyat/serving ekonomisine kaydi. Kaynak: https://the-decoder.com/new-deepseek-flash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/
• Search akisi aggregator linklerine yaslanmaya devam ediyor; canonical URL cozumleme olmadan Google News/Bing item'lari rapor kalitesini dusuruyor. Kaynak: raw-sources/2026-08-01/search.json
• Memory/agent reliability paper'lari tekil paper degil, kume halinde geldi; Oracle tarafinda agent memory icin transaction, rollback ve source-supported update prensipleri kalici tasarim sinyali. Kaynak: https://arxiv.org/abs/2607.27773 ve https://arxiv.org/abs/2607.27834

Dedupe & Kalite Notu

Bu rapordaki maddeler onceki 3 gunun raporlarindan elendi/dedupe edildi; 2026-07-29, 2026-07-30 ve 2026-07-31 raporlarindaki ana haberler tekrar edilmemeye calisildi. Merge: 5 dosya, 7.621 giris -> 6.758 cikis; 863 tekrar atildi. Dedupe: 6.758 giris -> 4.148 yeni; 2.571 fingerprint tekrar, 38 semantik tekrar, 0 guncelleme.