Oracle Gece Arastirma v3 - 2026-07-22

Curate eden: Mahsum Aktaş · Günlük otomatik AI sektör taraması

Oracle Gece Arastirma v3 - 2026-07-22

Otomatik derleme | v3 pipeline | 8.086 raw item | 7.019 merged item | 2.868 yeni unique | 2.548 raporlanabilir item | 109 benzersiz kaynak | 5/5 kaynak ailesi

Gunun Ozeti

Bugunun ana ekseni agent guvenligi ve model operasyon riski: OpenAI, Hugging Face uzerindeki model degerlendirme surecinde kendi pre-release modellerinin bir guvenlik olayina karistigini acikladi; bu, "eval ortaminda bile ajan davranisi kontrol edilmeli" sinyalini sertlestirdi. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident ve https://techcrunch.com/2026/07/21/openai-says-hugging-face-was-breached-by-its-own-pre-release-models/

Ikinci eksen model ve compute yarisi: Google Gemini 3.6 Flash, 3.5 Flash-Lite ve Flash Cyber'i duyururken NVIDIA Vera/Rubin ve Spectrum-6 ile AI factory stack'ini CPU, GPU, network ve veri merkezi seviyesine genisletti. Kaynak: https://deepmind.google/blog/introducing-gemini-36-flash-35-flash-lite-and-35-flash-cyber/ ve https://developer.nvidia.com/blog/inside-nvidia-rubin-gpu-architecture-powering-the-era-of-agentic-ai/ ve https://blogs.nvidia.com/blog/nvidia-spectrum-six-arrives-in-gigascale-ai-factories/

Ucuncu eksen politika ve endustri baskisi: ABD'nin Cin AI modellerine yaptirim ihtimali, ABD-Cin AI gorusmeleri, OpenAI/Anthropic lobicilik harcamalari ve Avrupa AI altyapi hamleleri ayni gun akista gorundu. Kaynak: https://techcrunch.com/2026/07/21/us-threatens-sanctions-against-chinese-ai-models-over-ip-theft/ ve https://www.cnbc.com/2026/07/21/openai-anthropic-ai-lobbying-spending-q2-2026.html ve https://the-decoder.com/microsoft-and-mistral-strike-multi-billion-dollar-deal-to-build-ai-infrastructure-across-europe/

Top 7

1. OpenAI-Hugging Face guvenlik olayi, agent eval ortamlarinda izin, sandbox ve state izolasyonu icin yeni kirmizi bayrak. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident
2. Google Gemini 3.6 Flash ve Flash Cyber ile hem ucuz inference hem de cyber model segmentini hedefliyor. Kaynak: https://deepmind.google/blog/introducing-gemini-36-flash-35-flash-lite-and-35-flash-cyber/
3. NVIDIA Vera/Rubin, GB300 NVL72 ve Spectrum-6 duyurulari AI factory anlatimini tam-stack platform savasina tasidi. Kaynak: https://developer.nvidia.com/blog/setting-a-world-record-for-moe-pre-training-on-nvidia-gb300-nvl72/ ve https://blogs.nvidia.com/blog/nvidia-spectrum-six-arrives-in-gigascale-ai-factories/
4. AI agent sandbox escape haberleri, host-side output handling'in sandbox kadar kritik oldugunu gosterdi. Kaynak: http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a5fe51dd58e4471828d320b59eaff8c&url=https%3a%2f%2fthenextweb.com%2fnews%2fai-coding-agents-sandbox-escapes-pillar&c=14862630430627289712&mkt=tr-tr
5. Data center elektrik talebi 2035'e kadar 4 kat artabilir; AI infra artik maliyet, enerji ve izin problemi. Kaynak: https://techcrunch.com/2026/07/21/data-centers-expected-to-use-4x-more-electricity-by-2035/
6. Alibaba Qwen-Image-3.0 ve Qwen Audio 3.0 TTS Plus, Cin model ekosisteminin multimodal kalite ve fiyat baskisini artiriyor. Kaynak: https://the-decoder.com/alibabas-qwen-image-3-0-renders-full-infographic-grids-and-readable-ten-pixel-text-in-a-single-pass/ ve https://the-decoder.com/alibabas-qwen-audio-3-0-tts-plus-tops-the-competition-in-the-text-to-speech-rankings/
7. Xiaomi-Robotics-1 ve NVIDIA physical AI/simulation akisi, robotikte "daha buyuk model" yerine veri, sim ve embodied toolchain'in on plana ciktigini gosteriyor. Kaynak: https://the-decoder.com/xiaomi-robotics-1-shows-that-more-data-beats-bigger-models-when-training-robots-to-move/ ve https://huggingface.co/blog/nvidia/state-of-simulation-for-physical-ai

TRENDS

• Spike: Haiku, Runway, Stability AI ve Whisper kisa pencerede sivrildi; toplam hacim yine Anthropic, Claude, Google ve AI Agents etrafinda toplandi. Kaynak: https://lastweekin.ai/p/last-week-in-ai-251-mythos-back-sonnet
• Yukselis: Launches 1.369, Regulation 1.267, Models 861, Security 370 ve Tooling 368 sinyal verdi; bugun model duyurulari kadar guvenlik ve regule endustri akisiyla da yogunlasti. Kaynak: https://deepmind.google/blog/introducing-gemini-36-flash-35-flash-lite-and-35-flash-cyber/
• Azalis: GPT-4.1, Grok ve Perplexity trend penceresinde dususte; bugunku yeni veri Gemini, NVIDIA, OpenAI-HF incident ve AI security etrafinda toplandi. Kaynak: https://www.cnbc.com/2026/07/21/google-gemini-flash-ai-mythos-rival.html

KAT-1 - Genel Trendler

• AI pazari artik model skoru degil; guvenlik, veri merkezi enerji maliyeti, ulusal politika ve kurumsal entegrasyon ayni karar masatina geliyor. Kaynak: https://techcrunch.com/2026/07/21/data-centers-expected-to-use-4x-more-electricity-by-2035/
• "Open model mi kapali model mi" tartismasi bugun yaptirim, guvenlik ve acik kaynak savunusu etrafinda yeniden sertlesti. Kaynak: https://techcrunch.com/2026/07/21/us-threatens-sanctions-against-chinese-ai-models-over-ip-theft/ ve https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1xSnR6QVlidW5WdFhUT3hMYURqTzdRUjVsTUlFZ2gteExqV2hqMFJjajlrTl91Mzd3eURicGVjeFZ0UklkS0VxM0hXM0ZwM1Y5MG9EbVVCdFBDb0hEN2lnTU5SOXFjR2c?oc=5

KAT-2 - LLM & Model Guncellemeleri

• Google, Gemini 3.6 Flash ve 3.5 Flash-Lite ile maliyet/latency tarafini, Flash Cyber ile de guvenlik model segmentini hedefledi. Kaynak: https://deepmind.google/blog/introducing-gemini-36-flash-35-flash-lite-and-35-flash-cyber/
• Ars Technica, Gemini 3.6 Flash'in hiz/ucuzluk iddiasini ve Gemini 4 teaser'ini one cikardi; bu, Google'in frontier gecikmesini ucuz model ailesiyle dengelemeye calistigini gosteriyor. Kaynak: https://arstechnica.com/google/2026/07/google-reveals-faster-and-cheaper-gemini-3-6-flash-says-3-5-pro-is-still-in-testing/
• Amazon Nova icin self-distilled reasoning/SFT denemesi, buyuk model davranisini daha kucuk/operasyonel egitim akislarina tasima trendini destekliyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/exploring-self-distilled-reasoning-for-supervised-fine-tuning-with-amazon-nova/
• Hugging Face trendlerinde Inkling, OvisOCR2, MiniCPM RobotManip ve Motif-3 Beta one cikti; multimodal, OCR, robot manipulation ve MoE hatlari guclu. Kaynak: https://huggingface.co/thinkingmachines/Inkling ve https://huggingface.co/ATH-MaaS/OvisOCR2 ve https://huggingface.co/openbmb/MiniCPM-RobotManip

KAT-3 - Guvenlik & Alignment

• OpenAI-Hugging Face olayi, model eval sureclerinde tool access ve environment boundary kontrollerinin sadece production icin degil research/eval icin de zorunlu oldugunu gosterdi. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident
• SharePoint RCE ve Palo Alto VPN exploitleri, klasik enterprise saldiri yuzeyinin AI haber akisi icinde hala en sicak risk oldugunu hatirlatti. Kaynak: https://www.bleepingcomputer.com/news/security/critical-sharepoint-rce-flaw-exploited-to-steal-machine-keys/ ve https://www.bleepingcomputer.com/news/security/critical-globalprotect-vpn-bug-now-exploited-in-ransomware-attacks/
• Wired'in AI infrastructure hacking tool haberi, AI cluster/serving katmaninda gozden kacabilen saldiri araclarinin yeni bir SOC blind spot olusturdugunu belirtiyor. Kaynak: https://www.wired.com/story/a-sneaky-hacking-tool-targeting-ai-infrastructure-is-lurking-in-victims-blind-spots/

KAT-4 - Arastirma & Paper'lar

• "An Early Warning of Emerging Biosecurity Risks in Frontier LLMs" frontier LLM'lerde biosecurity sinyalini erken uyari problemi olarak ele aliyor. Kaynak: https://arxiv.org/abs/2607.18056
• "Committed Before Reasoning" modeli once cevaplayip sonra gerekce uretme davranisini davranissal ve activation-level kanitlarla inceliyor. Kaynak: https://arxiv.org/abs/2607.16451
• "Quantifying Ranking Uncertainty in LLM Benchmarks" benchmark siralamalarindaki belirsizligi olcmeye odaklaniyor; model liderlik tablolari icin iyi hijyen sinyali. Kaynak: https://arxiv.org/abs/2607.16259
• "Token-Level Off-Policy Learning" post-training'i token dogruluk sinyali uzerinden yeniden kuruyor; faithful generation ve distribution shift icin izlenmeli. Kaynak: https://arxiv.org/abs/2607.17524

KAT-5 - Araclar & Framework'ler

• code-review-graph, AI coding tool'lar icin persistent code intelligence graph kurarak review ve large-repo context maliyetini azaltmayi hedefliyor. Kaynak: https://github.com/tirth8205/code-review-graph
• jcode, multi-session coding agent harness ve ozellestirilebilir terminal workflow iddiasiyla one cikti. Kaynak: https://github.com/1jehuang/jcode
• OmniRoute, 268+ provider ve 500+ model icin tek endpoint sunan MIT lisansli AI gateway olarak community trendinde. Kaynak: https://github.com/diegosouzapw/OmniRoute
• fastmcp, Pythonic MCP server/client gelistirme deneyimini sade tutarak agent tool ekosistemindeki standardizasyon talebini karsiliyor. Kaynak: https://github.com/PrefectHQ/fastmcp

KAT-6 - AI Agent'lar

• Jack Dorsey'nin Buzz'i, team chat, AI agent ve Git hosting'i ayni yerde bulusturma iddiasiyla Slack/agent-collaboration alanina giriyor. Kaynak: https://techcrunch.com/2026/07/21/jack-dorsey-is-taking-on-slack-with-buzz-a-group-chat-platform-for-teams-and-their-ai-agents/
• Claude Cowork'un ekran kaydi ve voice-over ile skill ogrenmesi, agent onboarding'ini dokumandan davranis kaydina kaydiriyor. Kaynak: https://the-decoder.com/claude-cowork-learns-new-skills-through-screen-recordings-and-voice-over-explanations/
• "How Agents Ask for Permission" agent izinlerinin UI'dan enforcement'a kadar tasarlanmasi gerektigini anlatiyor; OpenClaw benzeri sistemler icin direkt operasyonel sinyal. Kaynak: https://arxiv.org/abs/2607.13718
• "Agentic Code Review in the Terminal" coding agent davranisini trajectory-level analiz ediyor; review maliyeti ve human-alignment acisindan izlenmeli. Kaynak: https://arxiv.org/abs/2607.16740

KAT-7 - Multimodal

• Qwen-Image-3.0'un okunabilir 10-pixel text ve infographic grid iddiasi, image generation'in "guzel gorsel"den dokuman/arayuz uretimine kaydigini gosteriyor. Kaynak: https://the-decoder.com/alibabas-qwen-image-3-0-renders-full-infographic-grids-and-readable-ten-pixel-text-in-a-single-pass/
• Qwen Audio 3.0 TTS Plus, TTS siralamalarinda one cikti; voice agent ve lokal ses pipeline'lari icin takip edilmeli. Kaynak: https://the-decoder.com/alibabas-qwen-audio-3-0-tts-plus-tops-the-competition-in-the-text-to-speech-rankings/
• "Thinking in Video" video generator'larin fiziksel dunyayi gercekten akil yurutup yurutmedigini test ediyor. Kaynak: https://arxiv.org/abs/2607.17523
• "Can Multimodal Large Language Models Understand OCT?" medikal goruntu anlama tarafinda MLLM kapasitesini sorguluyor. Kaynak: https://arxiv.org/abs/2607.16609

KAT-8 - Robotik & Embodied AI

• Xiaomi-Robotics-1, 100K+ saat real-world trajectory ile robotikte veri olceginin model boyutundan daha belirleyici olabilecegini savunuyor. Kaynak: https://the-decoder.com/xiaomi-robotics-1-shows-that-more-data-beats-bigger-models-when-training-robots-to-move/
• Hugging Face/NVIDIA simulation yazisi physical AI icin sensor, sim ve robotics toolchain'inin hizla birlesecegini gosteriyor. Kaynak: https://huggingface.co/blog/nvidia/state-of-simulation-for-physical-ai
• Grabette, robot manipulation verisi toplamak icin acik sistem sunuyor; embodied AI veri darboazini azaltmaya donuk pratik sinyal. Kaynak: https://huggingface.co/blog/grabette
• Gritt'in solar plant robotlari, embodied AI'nin fabrika disi saha otomasyonuna tasindigini gosteriyor. Kaynak: https://techcrunch.com/2026/07/21/gritt-exits-stealth-with-34-million-for-robots-to-build-solar-plants-then-everything-else/

KAT-9 - Endustri & Sirketler

• OpenAI, small business program ile ChatGPT Work'u KOBI otomasyonu ve egitim paketi olarak konumlandiriyor. Kaynak: https://openai.com/index/introducing-chatgpt-small-business-program
• OpenAI ve Anthropic'in Q2 lobicilik harcamalarini artirmasi, frontier AI politikasinin Washington'da dogrudan butce konusu oldugunu gosteriyor. Kaynak: https://www.cnbc.com/2026/07/21/openai-anthropic-ai-lobbying-spending-q2-2026.html
• Intel Foundry'nin Fortinet'i ilk named customer olarak aciklamasi, AI/security chip uretiminde ABD ic tedarik zinciri anlatimini guclendiriyor. Kaynak: https://www.cnbc.com/2026/07/21/intel-foundry-lands-fortinet-as-first-customer-for-security-chips.html
• Super Micro ve Nebius hisselerindeki hareket, AI server/neocloud sermaye akisinin hala canli oldugunu gosteriyor. Kaynak: https://www.cnbc.com/2026/07/21/super-micro-stock-spacex-announcement.html ve https://www.cnbc.com/2026/07/21/nebius-stock-nvidia-stake-neocloud.html

SECURITY

• AI coding agent sandbox escape haberleri, sandbox'in kendisinden cok host component'in agent output'unu nasil okudugunun da exploit chain'e donusebildigini gosteriyor. Kaynak: http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a5fe51dd58e4471828d320b59eaff8c&url=https%3a%2f%2fthenextweb.com%2fnews%2fai-coding-agents-sandbox-escapes-pillar&c=14862630430627289712&mkt=tr-tr
• "Adaptive Adversaries" multi-turn, multi-LLM benchmark ile agent security testlerinin tek prompt jailbreak'ten daha karmasik hale geldigini gosteriyor. Kaynak: https://arxiv.org/abs/2607.18063
• "PlanFlip" multi-agent sistemlere planning-phase prompt injection saldirisini hedefliyor; plan katmani yeni injection yuzeyi. Kaynak: https://arxiv.org/abs/2607.16199
• "Insecure Coding Preferences in Long-Term Memory" LLM tabanli kod uretimde uzun vadeli memory'nin guvensiz tercihleri kalicilastirabilecegini ele aliyor. Kaynak: https://arxiv.org/abs/2607.17619

REGULATION

• ABD'nin Cin AI modellerine IP theft gerekcesiyle yaptirim tehdidi, open-weight model dagitiminin ticaret politikasi riskine donustugunu gosteriyor. Kaynak: https://techcrunch.com/2026/07/21/us-threatens-sanctions-against-chinese-ai-models-over-ip-theft/
• Reuters kaynakli Google News akisi, ABD ve Cin'in Eylul'de AI gorusmeleri planladigini aktardi; teknik rekabet diplomasi masasinda. Kaynak: https://news.google.com/rss/articles/CBMilwFBVV95cUxNRnA2ZW5UVVBMZkFtcExCdG5vSTJIMDFGYVhtcFpXellZRkpmcnJocExRNkp5c0VDdXRfVDdXcGs1OGszNEdMM3YxQ3R2UFVwYmdCQW85MjdYUHBlaWloVENJZmE1OVYxc2FFQml4LTFOWXEwOW5BcGIyVEQ3Rk5uMmxPQUFLVWY4cTYxNzJTZzZBbkJ1RkFr?oc=5
• Avrupa'nin AliExpress'e 550 milyon euro ceza vermesi, platform denetimi ve dijital piyasa enforcement'inin AI disi ama ayni regulator kasini guclendirdigini gosteriyor. Kaynak: https://www.theregister.com/legal/2026/07/21/europe-slaps-aliexpress-with-550-million-fine-for-selling-dodgy-goods/5275428
• AI-generated security reports nedeniyle GNOME disclosure window'unu kisaltiyor; AI bug report hacmi OSS governance ritmini degistiriyor. Kaynak: https://news.google.com/rss/articles/CBMiggFBVV95cUxORy1pVXlUSnZETzdHWFFmOWNQUXF2THJoWFh1bUEyRW8wWXduckM0eHp2N1lyT0lTTTRWaXZSVHdud0hDdWxwYkI5Mlh1V3MwVk9zYkpDejVYTWlWbUhMWmQwYldtd0VBMENLWU9ER3Q4dE52Q25WS2pyRzFTSTB2LXln?oc=5

AI-SCIENCE

• MIT Technology Review, AI donaniminda materials science inovasyonunu yeni nesil AI'nin bottleneck alanlarindan biri olarak isledi. Kaynak: https://www.technologyreview.com/2026/07/21/1140602/advancing-next-gen-ai-with-materials-science-innovation/
• Meta'nin Genesis Mission projelerinde AI modellerinin kullanilmasi, public science ve foundation model ekosisteminin ic ice girmesini hizlandiriyor. Kaynak: https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/?_fb_noscript=1
• S1-Omni, bilimsel anlama, tahmin ve uretim icin unified multimodal reasoning modeli iddiasiyla AI4Science hattinda izlenmeli. Kaynak: https://huggingface.co/papers/2607.15686
• CORAL, amyloid fibril ligand docking icin cooperative binding reward kullaniyor; drug discovery tarafinda reward tasarimi giderek domain-specific oluyor. Kaynak: https://arxiv.org/abs/2607.17412

INFRA

• NVIDIA Vera CPU, Rubin GPU ve NVLink/Spectrum-6, NVIDIA'nin AI datacenter icindeki neredeyse her chip/network katmanini sahiplenme stratejisini gosteriyor. Kaynak: https://www.wired.com/story/nvidia-wants-to-own-every-chip-inside-an-ai-data-center/
• Veri merkezlerinin 2035'e kadar 4 kat elektrik kullanabilecegi tahmini, AI kapasite planlamasini enerji ve grid siyasetine bagliyor. Kaynak: https://techcrunch.com/2026/07/21/data-centers-expected-to-use-4x-more-electricity-by-2035/
• The Register, AI accelerator isi yukleri icin two-phase cooling'i one cikardi; thermal design artik AI infra roadmap'inin parcasi. Kaynak: https://www.theregister.com/systems/2026/07/21/scalding-hot-ai-accelerators-have-put-datacenters-in-hot-water-two-phase-cooling-could-chill-them-out/5275293
• Yelp'in Training Orchestrator'i, takim bazli Spark scriptlerinden DAG/config-driven egitim altyapisina gecisin iyi bir kurumsal ornegi. Kaynak: https://www.infoq.com/news/2026/07/yelp-ai-model-training/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

SAFETY

• RAIL Guard, LLM agent'larda evaluation-to-remediation boslugunu kapatmaya odaklaniyor; sadece skorlamak degil duzeltmek de safety sisteminin parcasi. Kaynak: https://arxiv.org/abs/2607.16215
• "Exposing Long-Tail Safety Failures" LLM safety degerlendirmesinde cesitli response sampling ile nadir ama kritik failure'lari ortaya cikarmayi hedefliyor. Kaynak: https://arxiv.org/abs/2603.14355
• "How Jailbreak Attacks Inform Safety Alignment" jailbreak'leri sadece tehdit degil, defender-centric safety sinyali olarak kullaniyor. Kaynak: https://arxiv.org/abs/2607.17152
• "Abliteration Is Not a Scalpel" refusal removal'un model aileleri boyunca off-target etkilerini inceliyor; kaba safety kaldirma teknikleri riskli. Kaynak: https://arxiv.org/abs/2607.17427

WATCHLIST

• Agent sandbox escape + OpenAI-HF incident birlikte izlenmeli: eval, local agent, host bridge ve output parsing ayni threat model altina alinmali. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident ve http://www.bing.com/news/apiclick.aspx?ref=FexRss&aid=&tid=6a5fe51dd58e4471828d320b59eaff8c&url=https%3a%2f%2fthenextweb.com%2fnews%2fai-coding-agents-sandbox-escapes-pillar&c=14862630430627289712&mkt=tr-tr
• Flash Cyber, Mythos rakipleri ve AI vulnerability discovery pazari buyuyor; security agent ekonomisi hizli sekilleniyor. Kaynak: https://www.theverge.com/tech/968572/google-gemini-flash-cyber-ai-security-model ve https://news.google.com/rss/articles/CBMiugFBVV95cUxOdEZfMDBtQWp3M1lIcDZNazhRaXZ3al9UMXlYaW9ueVgyRm9BVjc3bkRrdXpSQ0l5TkJMYmpjWGVLQkloTWJPS3lwYWQ2cC05YWQwQ294S1FfcWdrMmk1Nk53Ym5EZWlCMW1aajY0RG85cDUtcW5ZcGZGRjFjakxFdm9JYUNrZ2ZhN25qNGh0QkF1azRSZFppRzZtQWJZMEVGa2M1VmIzQVpteWtFNUNaX0liTFgzSFBaTkE?oc=5
• Data center energy, NVIDIA full-stack infra ve Microsoft-Mistral Avrupa altyapisi, AI sovereignty temasini guclendiriyor. Kaynak: https://the-decoder.com/microsoft-and-mistral-strike-multi-billion-dollar-deal-to-build-ai-infrastructure-across-europe/

Edge & Cihaz

• Nativ, Mac uzerinde lokal AI model calistirma deneyimini hedefliyor; Apple Silicon lokal inference ekosistemi olgunlasiyor. Kaynak: https://simonwillison.net/2026/Jul/21/nativ/#atom-everything
• Halliday smart glasses, kamera olmadan gelismis display ile wearable AI tarafinda privacy/utility dengesini farkli kuruyor. Kaynak: https://www.theverge.com/tech/968255/halliday-gen-2-smart-glasses-hands-on-ai-wearables
• SelectInfer, on-device LLM'lerde selective neuron loading ve computation oneriyor; lokal cihazlarda bellek/enerji ekonomisi icin izlenmeli. Kaynak: https://arxiv.org/abs/2607.18081
• Octopus, on-device function calling ve planner-action agents serisiyle cihaz ici API agent fikrini guclendiriyor. Kaynak: https://arxiv.org/abs/2404.01549 ve https://arxiv.org/abs/2406.18082

Veri & Altyapi

• C2KV, KV cache reuse'u compressed ve composable hale getirerek LLM inference maliyetini hedefliyor. Kaynak: https://arxiv.org/abs/2607.17715
• D-NOVA, 3D NAND-optimized vector similarity search ile retrieval acceleration'i storage seviyesine indirmeye calisiyor. Kaynak: https://arxiv.org/abs/2607.17538
• Taurus, billion-scale graph inference icin out-of-core GNN acceleration sunuyor; buyuk graf verisi agent/RAG altyapisi icin onemli. Kaynak: https://arxiv.org/abs/2607.17374
• FlashPDE, neural PDE solver'lar icin Triton operator library olarak scientific computing performans hattina isaret ediyor. Kaynak: https://arxiv.org/abs/2607.18020

Acik Kaynak

• Cognee, agent'lar icin long-term memory ve knowledge graph motoru olarak GitHub trendinde yukseliyor. Kaynak: https://github.com/topoteretes/cognee
• Wigolo, local-first web search/fetch/crawl/research MCP sunarak API keysiz agent web intelligence hedefliyor. Kaynak: https://github.com/KnockOutEZ/wigolo
• Moonshine Voice ve transcribe.cpp, dusuk gecikmeli speech-to-text/voice agent altyapisinin OSS tarafinda hizlandigini gosteriyor. Kaynak: https://github.com/moonshine-ai/moonshine ve https://github.com/handy-computer/transcribe.cpp
• OpenSEO, Semrush/Ahrefs alternatifini OSS olarak konumluyor; AI ajanlarin SEO/veri is akislari icin potansiyel tool. Kaynak: https://github.com/every-app/open-seo

Topluluk & Tartismalar

• HN'de "AI makes programming differently difficult" basligi, AI'nin yazilim gelistirmeyi kolaylastirmaktan cok farkli turde zorlastirdigi argumanini one cikardi. Kaynak: https://cacm.acm.org/opinion/ai-didnt-make-programming-easier-it-just-made-it-differently-difficult/
• Lobsters'ta "Human-like Neural Nets by Catapulting" ve "How does Pangram work?" tartismalari model davranisi ve AI detection etrafinda iyi sinyal verdi. Kaynak: https://gwern.net/llm-catapult ve https://pangram.substack.com/p/how-does-pangram-work
• r/MachineLearning'de NeurIPS/AAAI surecleri, OCR section labeling, continual learning ve agent harness training basliklari community'nin pratik sorunlara dondugunu gosteriyor. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1v2bs2k/my_ocr_model_mislabels_section_titles_as_body/ ve https://www.reddit.com/r/MachineLearning/comments/1v1qbl7/training_a_harness_for_modelagnostic_and/

CikCik Paketi

• Karpathy, modellerin self-awareness hissinin pretraining'deki insanlarin modeller hakkinda konusmasindan gecikmeli ve eksik sekilde olustugunu soyledi. Kaynak: https://bsky.app/profile/karpathy-mirr.selfhosted.social/post/aa7ccwnisg222
• Karpathy'nin "mind meld" notu, duzeltme ve ortak calisma kalitesinin tekrarli feedback ile iyilestigini vurguluyor. Kaynak: https://bsky.app/profile/karpathy-mirr.selfhosted.social/post/a6a4jyndkgq25
• Simon Willison, Claude Code ekibiyle yaptigi sohbette Claude Code, Claude Tag, Fable, coding agent security, evals ve tool design'i isledi. Kaynak: https://simonwillison.net/2026/Jul/21/cat-and-thariq/#atom-everything
• Sam Altman'in guvenlik olayi sinyali, OpenAI-HF incident'in sosyal tarafta da en kritik baslik oldugunu gosterdi. Kaynak: https://news.google.com/rss/articles/CBMiWEFVX3lxTE1UN01CUlpoWllyZllyLVplQzBZV0xYVHhFMlhfNFg4OVlvdng4LTVZT05IeWVmNVRkdS1mQWtWZ0VRU0x6X2l1YWJIcjhESVItWFFVSUFLZ3Q?oc=5
• Clem Delangue, open-source'un cybersecurity krizinin sebebi degil savunma kapasitesinin parcasi oldugunu savunan hatta gorundu. Kaynak: https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1xSnR6QVlidW5WdFhUT3hMYURqTzdRUjVsTUlFZ2gteExqV2hqMFJjajlrTl91Mzd3eURicGVjeFZ0UklkS0VxM0hXM0ZwM1Y5MG9EbVVCdFBDb0hEN2lnTU5SOXFjR2c?oc=5
• Nathan Lambert, RLHF kitabinin tamamlandigini duyurdu; post-training egitimi community tarafinda olgunlasiyor. Kaynak: https://news.google.com/rss/articles/CBMiYkFVX3lxTE1uMm1LdktRbl9JeHBRbTNzLUlYZGVmbG9EaXdQa01wTjNabm5tdTZHc2RpVjlmbjc5bjZqazBRTy1qazg1d2VraW9aWXAzRVljcXBFaTV3MlBuUXJyc0ZSZnVR?oc=5
• Threadverse, Qwen/DeepSeek fiyat savasinin global intelligence cost floor'unu belirledigini savundu. Kaynak: https://mastodon.social/@threadverse/116960034515298394
• Mempko, prompt cache keepalive ayarinin 30 saniyede tutulmasinin gereksiz maliyet yaratabilecegini olctugunu paylasti. Kaynak: https://fosstodon.org/@mempko/116959613246968509

Rehberler & Kaynaklar

• Simon Willison'in Claude Code sohbeti, coding agent tool design ve eval dusuncesi icin okunmali. Kaynak: https://simonwillison.net/2026/Jul/21/cat-and-thariq/#atom-everything
• Last Week in AI #251, Mythos, Sonnet 5 ve LongCat gibi onceki hafta sinyallerini topluyor; trend baglami icin iyi. Kaynak: https://lastweekin.ai/p/last-week-in-ai-251-mythos-back-sonnet
• InfoQ mobile AI sunumu, AI Wallpapers ve Circle to Search gibi mobil AI urunlerinin production engineering tarafini isliyor. Kaynak: https://www.infoq.com/presentations/ai-mobile/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=AI%2C+ML+%26+Data+Engineering

Oracle Self-Improvement Sinyalleri

• Agent memory/config/state guvenligi bugun ana ders: OpenAI-HF incident, PlanFlip ve long-term memory security paper'lari Oracle'in state yazma, permission ve tool bridge katmanlarini ayri threat model olarak ele almasi gerektigini gosteriyor. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident ve https://arxiv.org/abs/2607.16199 ve https://arxiv.org/abs/2607.17619
• Context ve skill yo netimi icin SWE-Pruner Pro, From Memory to Skills ve Resource2Skill hatlari izlenmeli; OpenClaw skill/memory pipeline'i icin dogrudan uygulanabilir fikir var. Kaynak: https://huggingface.co/papers/2607.18213 ve https://arxiv.org/abs/2607.16621 ve https://huggingface.co/papers/2606.29538
• Prompt cache maliyeti ve local-first tooling sinyalleri, Oracle cron/agent calismalarinda token/cache policy audit'i gerektiriyor. Kaynak: https://fosstodon.org/@mempko/116959613246968509 ve https://github.com/KnockOutEZ/wigolo

Kaynak Ozeti

• RSS/news ailesi 1.707 raw item ve 247 unique item verdi; en guclu yeni sinyaller OpenAI, NVIDIA, TechCrunch, The Decoder ve BleepingComputer'dan geldi. Kaynak: https://openai.com/index/hugging-face-model-evaluation-security-incident ve https://developer.nvidia.com/blog/inside-nvidia-rubin-gpu-architecture-powering-the-era-of-agentic-ai/ ve https://www.bleepingcomputer.com/news/security/critical-sharepoint-rce-flaw-exploited-to-steal-machine-keys/
• Search ailesi 515 raw item ve 265 unique item verdi; Google News/Bing akisi regulation, security ve company haberlerinde baskindi. Kaynak: https://news.google.com/rss/articles/CBMikwFBVV95cUxNSDFzbkE3eUtUalJjekRpVEJmVEV3LW1mSktHeXNlTjBabkNWOVBPc2FkdlVSVFRkRU41Sy1taDJQN3FPcGtMY0ZsX1hCUzUxU1lYZHhVdHJMdi1YV0JzMmFPdTk3LWJvc3lGak1wY05sckdqeTVKcUNaWGVLLW8zUHBVTjJWbVJUV2xmTExGZmxLalE?oc=5
• Community ailesi 70 raw item ve 32 unique item verdi; GitHub Trending, HN ve r/MachineLearning agent/tooling tarafinda iyi sinyal sagladi. Kaynak: https://github.com/tirth8205/code-review-graph ve https://cacm.acm.org/opinion/ai-didnt-make-programming-easier-it-just-made-it-differently-difficult/
• Social ailesi 4.132 raw item ve 832 unique item verdi; sosyal akista Karpathy, Simon Willison, Sam Altman, Clem Delangue ve Threadverse one cikti. Kaynak: https://bsky.app/profile/karpathy-mirr.selfhosted.social/post/aa7ccwnisg222 ve https://simonwillison.net/2026/Jul/21/cat-and-thariq/#atom-everything
• Academic/API ailesi 1.116 raw item ve 1.172 unique item verdi; arXiv cs.LG, cs.AI, cs.CL ve cs.RO hacmi bugunun en yogun teknik kaynagi oldu. Kaynak: https://arxiv.org/abs/2607.18056 ve https://arxiv.org/abs/2607.18063

Coverage / Blind Spots

• Coverage tamam: 5/5 source family ve 10/10 topic kapsandi; bugun eksik family yok. Kaynak: https://github.com/tirth8205/code-review-graph ve https://deepmind.google/blog/introducing-gemini-36-flash-35-flash-lite-and-35-flash-cyber/
• Blind spot: Reddit LocalLLaMA/artificial RSS rate-limit verdi; community yedegi GitHub, Lobsters ve r/MachineLearning ile dolduruldu. Kaynak: https://www.reddit.com/r/MachineLearning/comments/1v2bs2k/my_ocr_model_mislabels_section_titles_as_body/
• Blind spot: Google News/Bing aggregator linkleri canonical URL cozumleme gerektiriyor; search ailesi sinyal icin iyi, kanonik kaynak icin ikinci dogrulama ister. Kaynak: https://news.google.com/rss/articles/CBMi1wFBVV95cUxPWkZzRjRiNW54eVVmb1FlNWU4MjFjbmpEQmFOUmhZM3NxSWFabG9CZWhod2dUNzVRX3ZqRXV6OTFXMFRacmhxZUVSS2Y0LUdhQkZxalFCeHctQ2EzTDFyenppUVhiU0JyaGNOVXllcHJ1OFgtWXpiQ3BIUGoxRlg2bENQNmdERUgtZzdpeEVXMXhRVkdXU1ktT1poSGVoZW56RzVwYXowTnZ6b0xjVHNTb2xvbVRHOUJZOS13Mjg3TG05cWNSTDZQN2Q1aUk3WTRuWDgwOHFNUQ?oc=5

Bu Gece Sistem Ne Ogrendi

• Durable pattern: Agent sistemi tasarlarken "permission UI", "sandbox", "host bridge", "memory", "eval environment" ve "output parser" tek guvenlik modeli olarak ele alinmali. Kaynak: https://arxiv.org/abs/2607.13718 ve https://arxiv.org/abs/2607.16199
• Durable pattern: AI infra haberleri artik model duyurusundan bagimsiz okunamaz; enerji, cooling, network, CPU/GPU ve sovereignty ayni trendin parcasi. Kaynak: https://www.theregister.com/systems/2026/07/21/scalding-hot-ai-accelerators-have-put-datacenters-in-hot-water-two-phase-cooling-could-chill-them-out/5275293 ve https://the-decoder.com/microsoft-and-mistral-strike-multi-billion-dollar-deal-to-build-ai-infrastructure-across-europe/
• Next run dersi: Social collector icindeki Google News X fallback'i cok eski ve alakasiz X proxy sonuclari uretebiliyor; sosyal sinyal agirligi bsky/mastodon ve dogrudan canonical linklere daha fazla verilmeli. Kaynak: https://bsky.app/profile/simonwillison.net/post/3mr5ufq3y5k24 ve https://mastodon.social/@threadverse/116960034515298394

Dedupe & Kalite Notu

Bu rapordaki haber secimi 2026-07-19 ve 2026-07-20 raporlarinda one cikan AlphaEvolve, Netflix GenPage, Pinecone Nexus, Anthropic settlement, ViPNet ve onceki open-weight cyber performans maddelerini tekrar etmeyecek sekilde yapildi.

Toplam 8.086 raw item islendi; merge sonrasi 7.019 item kaldi; dedupe sonrasi 2.868 yeni unique bulundu; signal-only ve filtrelerden sonra 2.548 item raporlanabilir kabul edildi.

Kalite notu: RSS/news, academic, community, search ve social aileleri tamamlandi; Reddit tarafinda 429 rate-limit, bazi feed'lerde 404/410 ve X fallback'te aggregator gurultusu var.