Oracle Gece Arastirma — 2026-04-09

Curate eden: Mahsum Aktaş · Günlük otomatik AI sektör taraması

Oracle Gece Arastirma — 2026-04-09

Otomatik derleme | v3 pipeline | 5 kaynak akisi | 2380 benzersiz item | Tarih: 2026-04-09 00:30 TRT

Gunun Ozeti

Bugunun ana ekseni, agent ekosisteminin “daha fazla otonomi” yerine “daha kontrollu ogrenme, guvenlik ve is akisina yerlestirme” fazina gecmesi oldu. IBM’in ALTK-Evolve cikisi, agent’larin is basinda evrilen beceri kazanimi tarafini one cikarirken; OpenAI’nin cocuk istismari odakli yeni safety blueprint’i ve Flowise tarafindaki aktif RCE istismari, agent guvenliginin artik teorik degil operasyonel borc oldugunu gosteriyor. Kaynaklar: https://huggingface.co/blog/ibm-research/altk-evolve | https://techcrunch.com/2026/04/08/openai-releases-a-new-safety-blueprint-to-address-the-rise-in-child-sexual-exploitation/ | https://news.google.com/rss/articles/CBMiggFBVV95cUxOMmV2elZDZ1d0eWFXU2prMHQweUZ4b2tPbEk1cWtFY0ktWHgxcXZ0XzlGdUc4em50UVBDMmtyaC1QMF80UjNjTVpjSVpLckFvUG9xUDloVkFOLWNPcDN5OTA2YkZRVmF1YzlXVG5mdzc5dTR2LUVxRkdKNy1WeWhaV3p3?oc=5

Platform tarafinda entegrasyon yarisi hizlandi, ama bu kez “chat icinde mini app”, “offline-first cihaz AI” ve “enterprise dokumana ucuncu taraf agent” katmanlari daha belirgin. Tubi’nin ChatGPT icindeki native app hamlesi, Google’in offline dikte uygulamasi ve Atlassian’in Confluence icine visual AI + third-party agents eklemesi, AI’nin bagimsiz urun olmaktan cok mevcut yuzeylere dagilan servis oldugunu teyit ediyor. Kaynaklar: https://techcrunch.com/2026/04/08/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/ | https://techcrunch.com/2026/04/07/google-quietly-releases-an-offline-first-ai-dictation-app-on-ios/ | https://techcrunch.com/2026/04/08/atlassian-confluence-visual-ai-tools-agents/

Arastirma cephesinde ise bellek, unlearning, calibration, speculative decoding ve multimodal guvenilirlik ayni anda yukseldi. Bu kombinasyon, frontier yarisi kadar “ne zaman unutur, ne kadar hizlanir, ne zaman emin olmamali ve multimodal olarak ne kadar guvenilir kalir” sorularinin merkeze tasindigini gosteriyor. Kaynaklar: https://arxiv.org/abs/2604.05074 | https://arxiv.org/abs/2604.05669 | https://arxiv.org/abs/2604.05397 | https://arxiv.org/abs/2604.05417 | https://arxiv.org/abs/2604.05522

Top 7

1. ALTK-Evolve, agent’lar icin “on-the-job learning” hattini one cekti. Agent becerilerinin statik prompt degil, gorev sirasinda evrilen bir varlik olarak ele alinmasi bugunun en net sistem sinyaliydi. Kaynak: https://huggingface.co/blog/ibm-research/altk-evolve
2. OpenAI, child safety icin yeni blueprint yayinladi. Safety konusu genel alignment soyutlugundan cikib daha spesifik zarar siniflarina indi. Kaynak: https://techcrunch.com/2026/04/08/openai-releases-a-new-safety-blueprint-to-address-the-rise-in-child-sexual-exploitation/
3. Flowise AI Agent Builder tarafinda aktif CVSS 10.0 RCE istismari raporlandi. Agent builder ekosistemindeki supply-chain ve panel guvenligi acigi artik acil operasyonel risk. Kaynak: https://news.google.com/rss/articles/CBMiggFBVV95cUxOMmV2elZDZ1d0eWFXU2prMHQweUZ4b2tPbEk1cWtFY0ktWHgxcXZ0XzlGdUc4em50UVBDMmtyaC1QMF80UjNjTVpjSVpLckFvUG9xUDloVkFOLWNPcDN5OTA2YkZRVmF1YzlXVG5mdzc5dTR2LUVxRkdKNy1WeWhaV3p3?oc=5
4. Safetensors, PyTorch Foundation altina giriyor. Guvenli model agirlik formatinin kurumsal standarda donusmesi infra ve supply-chain acisindan onemli. Kaynak: https://huggingface.co/blog/safetensors-joins-pytorch-foundation
5. Amazon Nova etrafinda fine-tuning, embedding, audio ve cost governance blog seli geldi. AWS tarafi modelden cok “isletilebilir AI stack” satmaya basladi. Kaynaklar: https://aws.amazon.com/blogs/machine-learning/customize-amazon-nova-models-with-amazon-bedrock-fine-tuning/ | https://aws.amazon.com/blogs/machine-learning/building-intelligent-audio-search-with-amazon-nova-embeddings-a-deep-dive-into-semantic-audio-understanding/ | https://aws.amazon.com/blogs/machine-learning/manage-ai-costs-with-amazon-bedrock-projects/
6. Tubi, ChatGPT icinde native app baslatti. Chat interface artik sadece sohbet degil, dagitim kanali olmaya basliyor. Kaynak: https://techcrunch.com/2026/04/08/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/
7. ArXiv akisi memory, unlearning, multimodal alignment ve GUI-agent verification etrafinda yogunlasti. Bu, model capability’den deployment correctness’e kayisin devam ettigini gosteriyor. Kaynaklar: https://arxiv.org/abs/2604.05074 | https://arxiv.org/abs/2604.05669 | https://arxiv.org/abs/2604.05477 | https://arxiv.org/abs/2604.05522

Trend Analizi

7 gun trend ozetine gore AI Agents (985), AI Safety (120), Anthropic (489) ve Apple (60) yukseliste; AI Regulation (9) ise spike modunda. Bugunun veri akisinda bu trendler net sekilde teyit edildi: agent tarafinda ALTK-Evolve, Poke, Astropad Workbench ve Confluence agents; safety tarafinda OpenAI blueprint, Flowise RCE ve yeni academic guardrail calismalari one cikti. Kaynaklar: https://huggingface.co/blog/ibm-research/altk-evolve | https://techcrunch.com/2026/04/08/poke-makes-ai-agents-as-easy-as-sending-a-text/ | https://techcrunch.com/2026/04/08/astropads-workbench-reimagines-remote-desktop-for-ai-agents-not-it-support/ | https://arxiv.org/abs/2604.05179

Dususte gorunen Perplexity, ElevenLabs ve Sora benzeri basliklar bugunku akisda neredeyse hic merkezi rol oynamadi. Yerine “agent deployment”, “enterprise workflow”, “offline edge AI” ve “unlearning/calibration” gibi daha altyapi ve kalite odakli temalar gecti. Kaynaklar: https://techcrunch.com/2026/04/08/atlassian-confluence-visual-ai-tools-agents/ | https://techcrunch.com/2026/04/07/google-quietly-releases-an-offline-first-ai-dictation-app-on-ios/ | https://arxiv.org/abs/2604.05397

Regulasyon spike’i dogrudan buyuk yasa haberiyle degil, compliance ve governance sinyalleriyle desteklendi. Efficient machine unlearning, differential privacy composition ve AI’nin isgucu etkisine dair analizler birlikte okundugunda, “regulation” bugun yasa metni degil teknik uyum maliyeti olarak belirginlesti. Kaynaklar: https://arxiv.org/abs/2604.05669 | https://arxiv.org/abs/2206.04236 | https://news.google.com/rss/articles/CBMijgFBVV95cUxPbXBPcng3eFVxMml0TEN1ZDFpcXduQ19KRHY0TWZMdk54NWR1RG93aUhibktPUTAyQlZERkdaNFIzblVGLTR5blI0eTM1Tng1U2xzaFpRZFhSWFZEdm1ON08tUjM2MTRJOWMtWHF1UGQ0cm1MSFpRdXF2YXpubFdwRzlTWjlJNTJiMVRNLXd30gGTAUFVX3lxTE1ZRktjblU5aVA0bEM3bkpDSVY4RW83VFRCNHMyMWgySE5iak1QVnNHb1dFWlpBYzZjM3lDbDFzWVdFV1FFRWtKV3dyY3R4T2Y2eUROeUxHd3YyajRjdTVtZlhEYVJzOG80MjRzSjRYSi1oclJ2dGxxWjJkY2VPUVlBb0NWMlpQOE9STWMwZFphNEI5VQ?oc=5

KAT-1

• ALTK-Evolve, agent’larin canli gorev sirasinda beceri kazanmasina odaklanan bir ogrenme cercevesi olarak bugunun agent eksenini tanimladi. Kaynak: https://huggingface.co/blog/ibm-research/altk-evolve
• Poke, AI agent kullaniminin metin gonderir gibi basitlestirilmesi uzerinden consumer-grade agent UX yarisi baslatti. Kaynak: https://techcrunch.com/2026/04/08/poke-makes-ai-agents-as-easy-as-sending-a-text/

KAT-2

• Atlassian Confluence, visual AI tools ve third-party agents ekleyerek kurumsal bilgi tabanini pasif wiki’den aktif agent workspace’e ceviriyor. Kaynak: https://techcrunch.com/2026/04/08/atlassian-confluence-visual-ai-tools-agents/
• Astropad Workbench, remote desktop’i IT support yerine AI agents icin yeniden tasarlayarak “computer-use infra” katmaninin ayri bir urune donustugunu gosterdi. Kaynak: https://techcrunch.com/2026/04/08/astropads-workbench-reimagines-remote-desktop-for-ai-agents-not-it-support/

KAT-3

• Amazon Bedrock fine-tuning for Nova, model ozellestirmeyi AWS native boru hattina gomerek managed customization yarisi verdigini acikladi. Kaynak: https://aws.amazon.com/blogs/machine-learning/customize-amazon-nova-models-with-amazon-bedrock-fine-tuning/
• Amazon Bedrock Projects, AI maliyetlerinin ekip ve proje bazli yonetimini one cikariyor; bu, LLM harcamasinin FinOps problemi haline geldigini gosteriyor. Kaynak: https://aws.amazon.com/blogs/machine-learning/manage-ai-costs-with-amazon-bedrock-projects/

KAT-4

• Google’in offline-first AI dictation app’i, cihaz ustunde, baglanti gerektirmeyen AI yardimcisinin yeniden ciddi bir urun kategorisi oldugunu gosterdi. Kaynak: https://techcrunch.com/2026/04/07/google-quietly-releases-an-offline-first-ai-dictation-app-on-ios/
• LiteRT-LM, Google AI Edge tarafinda edge LLM deployment ilgisinin toplulukta yukselmeye devam ettigini dogruladi. Kaynak: https://github.com/google-ai-edge/LiteRT-LM

KAT-5

• Tubi’nin ChatGPT icinde native app cikarmasi, chat arayuzunun yeni app-store benzeri dagitim kanali olabilecegini gosteren en somut orneklerden biri oldu. Kaynak: https://techcrunch.com/2026/04/08/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/
• Google AI Edge Gallery, edge showcase mantigiyla cihaz ustu demo ve deployment orneklerini topluluk icin vitrinin merkezine cekiyor. Kaynak: https://github.com/google-ai-edge/gallery

KAT-6

• Safetensors’in PyTorch Foundation altina girmesi, model dosya formati ve guvenli serialization icin fiili standardin kurumsallasmasi anlamina geliyor. Kaynak: https://huggingface.co/blog/safetensors-joins-pytorch-foundation
• Pipevals, LLM uygulamalari icin evaluation pipeline’larinin ayri bir urun sinifina donustugunu gosteriyor. Kaynak: https://www.pipevals.com

KAT-7

• NVIDIA National Robotics Week duyurusu, physical AI, robotik arastirma ve embodied stack’in yeniden ivmelendigini teyit etti. Kaynak: https://blogs.nvidia.com/blog/national-robotics-week-2026/
• NVIDIA/personaplex, embodied veya persona-driven simulation altyapisina olan topluluk ilgisini yansitan acik kaynaklardan biri olarak one cikti. Kaynak: https://github.com/NVIDIA/personaplex

KAT-8

• AWS healthcare HITL workflows, agentic otomasyonda insan-onayi halkasinin regule sektorlerde standartlasacagini gosterdi. Kaynak: https://aws.amazon.com/blogs/machine-learning/human-in-the-loop-constructs-for-agentic-workflows-in-healthcare-and-life-sciences/
• Clinical trial recruitment + LLMs calismasi, klinik operasyonlarda dil modeli kullanimini dogrudan ROI ve throughput problemine bagladi. Kaynak: https://arxiv.org/abs/2604.05190

KAT-9

• FrontierFinance, gercek dunya finans gorevleri icin long-horizon computer-use benchmark onermesiyle agent benchmark’larini daha operasyonel zemine cekti. Kaynak: https://arxiv.org/abs/2604.05912
• FinReporting, farkli yargi alanlarindaki finansal aciklamalar icin lokalize agentic raporlama is akisi sunarak compliance automation hattini guclendirdi. Kaynak: https://arxiv.org/abs/2604.05966

SECURITY

• OpenAI’nin yeni safety blueprint’i, child sexual exploitation riskine odaklanarak safety roadmap’ini daha spesifik zarar modellerine indirdi. Kaynak: https://techcrunch.com/2026/04/08/openai-releases-a-new-safety-blueprint-to-address-the-rise-in-child-sexual-exploitation/
• Flowise AI Agent Builder altinda aktif CVSS 10.0 RCE istismari, dusuk bariyerli agent araclarinin saldiri yuzeyini sert sekilde hatirlatti. Kaynak: https://news.google.com/rss/articles/CBMiggFBVV95cUxOMmV2elZDZ1d0eWFXU2prMHQweUZ4b2tPbEk1cWtFY0ktWHgxcXZ0XzlGdUc4em50UVBDMmtyaC1QMF80UjNjTVpjSVpLckFvUG9xUDloVkFOLWNPcDN5OTA2YkZRVmF1YzlXVG5mdzc5dTR2LUVxRkdKNy1WeWhaV3p3?oc=5
• Gradient-Controlled Decoding, jailbreak ve prompt-injection’a karsi decoding seviyesinde guardrail oneriyor. Kaynak: https://arxiv.org/abs/2604.05179
• Stop Fixating on Prompts, red-teaming’de prompt yerine reasoning hijacking ve constraint tightening’e odaklanilmasi gerektigini savunuyor. Kaynak: https://arxiv.org/abs/2604.05549

REGULATION

• Efficient machine unlearning with minimax optimality, veri silme ve uyum zorunluluklarini teknik verimlilik problemi olarak ele aliyor. Kaynak: https://arxiv.org/abs/2604.05669
• Edgeworth Accountant, differential privacy composition icin daha analitik bir cerceve sunarak privacy compliance tarafini guclendiriyor. Kaynak: https://arxiv.org/abs/2206.04236
• Brookings’in AI ve isin gelecegi analizi, AI saturation senaryosunu emek piyasasi ve verimlilik ekseninde tartisiyor. Kaynak: https://www.brookings.edu/articles/artificial-intelligence-saturation-and-the-future-of-work/

AI-SCIENCE

• AutoSOTA, SOTA model kesfi icin uctan uca otomatik arastirma sistemi oneriyor; bu, bilimsel deneme-dogrulama surecinin kendisinin agent’lastigini gosteriyor. Kaynak: https://arxiv.org/abs/2604.05550
• EpiBench, multimodal agent’lar icin cok turlu arastirma workflow benchmark’i sunuyor. Kaynak: https://arxiv.org/abs/2604.05557
• PhageBench, LLM’lerin ham bakteriyofaj genomlarini anlayip anlayamadigini test ederek bio-LLM sinirlarini zorluyor. Kaynak: https://arxiv.org/abs/2604.05775

INFRA

• MegaTrain, 100B+ parametreli modellerin tek GPU uzerinde full precision egitimini hedefleyerek egitim maliyeti anlatisina meydan okuyor. Kaynak: https://arxiv.org/abs/2604.05091
• Cactus, constrained acceptance speculative sampling ile autoregressive decoding’i hizlandirmayi oneriyor. Kaynak: https://arxiv.org/abs/2604.04987
• Multi-Drafter Speculative Decoding with Alignment Feedback, hiz kazancini alignment geri bildirimiyle birlestiriyor. Kaynak: https://arxiv.org/abs/2604.05417
• Attention Editing, attention donusumu ile KV cache ve inference bandwidth darbohazina saldiriyor. Kaynak: https://arxiv.org/abs/2604.05688

SAFETY

• Confidence Should Be Calibrated More Than One Turn Deep, multi-turn ortamlarda guven skoru kalibrasyonunun yetersiz oldugunu gosteriyor. Kaynak: https://arxiv.org/abs/2604.05397
• What Models Know, How Well They Know It, modelin “bilmiyorum” deme kapasitesini knowledge-weighted fine-tuning ile artirmayi hedefliyor. Kaynak: https://arxiv.org/abs/2604.05779
• Measuring What Matters!!, mental health conversation’larda terapotik prensip uyumunu olcmeye odaklaniyor. Kaynak: https://arxiv.org/abs/2604.05795
• DIA-HARM, zararli icerik tespitinde lehce bazli adaletsizligi one cikariyor. Kaynak: https://arxiv.org/abs/2604.05318

WATCHLIST

• Meta’nin yeni AI modeli ve superintelligence team anlatisi, buyuk oyuncularin ikinci dalga model resetine gittigini gosterebilir; izlemeye deger. Kaynaklar: https://news.google.com/rss/articles/CBMiuAFBVV95cUxNM25rWXBKX2traWptOXQtUjRQcUtmZkNrME8zR2RLS2V0djhxdU5kMVRmS2t2YmM2anhhVzcwS1F6cDJyTWZrYl9RRW01QjJ4SWJxQnVSRUpJNldVd1RaNnNDcE9LWnI3bUw3ZllIUmN0cG1FNUp0LUJvU0RnQUpESUs0NjN1Y1B5b2x2ZjlFTDM3ek5uaXZ6ZERqaXkybV82V2VkcjZwQ0VPaW5BalI2aURNTFZMdDN20gG-AUFVX3lxTE9RR0xuc3VtZFluTjJObG0zYWZEZDVZektxRzZoMGtjQzJIYWNqLVlULVUyNEZ1QUN5N0RucVdzYnBHZjM2UzY3WUFoNm9wa29xQmpnbFlfT3lOMm9DN0k2RlhCZ2NPdXJGNlhmTTNxakl4bXF3cEUwM005OGJpTkF3WXItb0xTeDUxRDdYYkw4emtpMXkxV3pRUlU0THRhcFM3bUZCWEF6Q0JncXl6bjR0Y3VOZEZSb1dOZzZoVkE?oc=5 | https://news.google.com/rss/articles/CBMigAFBVV95cUxNYWxqVDA3TGExLXlBb0lucmFvM1E4czh3ejNxVFBTMGR5Mk1kZV9hYTBsSEhFR05tYlVCZHM4dUw1Ukp1TndLa3pRNGN6LUs4WVdmY0hMOXctcE9GTHVmUklQSE5oN21XWmtRZTdIQ3ZZbjM0V3dfSnVsX2I5b1RtdA?oc=5
• AWS’nin OpenAI + Anthropic cift yatirimi, bulut saglayicilarin model savasinda “agnostic ama derin entegrasyonlu” pozisyon alacagini gosterebilir. Kaynak: https://techcrunch.com/2026/04/08/aws-boss-explains-why-investing-billions-in-both-anthropic-and-openai-is-an-ok-conflict/
• Offline AI UX, Google dikte uygulamasi ve edge repo ilgisi nedeniyle kisa vadede cihaz ustu yeni urun dalgasi uretebilir. Kaynaklar: https://techcrunch.com/2026/04/07/google-quietly-releases-an-offline-first-ai-dictation-app-on-ios/ | https://github.com/google-ai-edge/gallery

TRENDS

• Agent UX basitlesiyor, ama alt katmanda governance karmasiklasiyor. Poke ve Workbench gibi urunler basit yuz sunarken, HITL, safety blueprint ve RCE olaylari kontrol ihtiyacini buyutuyor. Kaynaklar: https://techcrunch.com/2026/04/08/poke-makes-ai-agents-as-easy-as-sending-a-text/ | https://aws.amazon.com/blogs/machine-learning/human-in-the-loop-constructs-for-agentic-workflows-in-healthcare-and-life-sciences/ | https://news.google.com/rss/articles/CBMiggFBVV95cUxOMmV2elZDZ1d0eWFXU2prMHQweUZ4b2tPbEk1cWtFY0ktWHgxcXZ0XzlGdUc4em50UVBDMmtyaC1QMF80UjNjTVpjSVpLckFvUG9xUDloVkFOLWNPcDN5OTA2YkZRVmF1YzlXVG5mdzc5dTR2LUVxRkdKNy1WeWhaV3p3?oc=5
• Memory, unlearning ve knowledge drift bir ana eksene donusuyor. Bu, agent’larin sadece bilgi toplamasinin degil, neyi ne zaman unutacaginin kritiklestigini gosteriyor. Kaynaklar: https://arxiv.org/abs/2604.05074 | https://arxiv.org/abs/2604.05096 | https://arxiv.org/abs/2604.05669
• Multimodal guvenilirlik hizla engineering disiplinine kayiyor. Coreference, reward modeling, visual pun ve medical VLM alignment calismalari “gordu mu, anladi mi?” sorusunu sertlestiriyor. Kaynaklar: https://arxiv.org/abs/2604.05522 | https://arxiv.org/abs/2604.05445 | https://arxiv.org/abs/2604.05930 | https://arxiv.org/abs/2604.05738

CikCik Paketi

• Simon Willison, preview modelin gercek security weakness bulduguna dair “bu kez somut kanit var” vurgusu yapti; guvenlik odakli frontier model algisini guclendiriyor. Kaynak: https://bsky.app/profile/simonwillison.net/post/3miwzedsfjc24
• Simon Willison, son haftalari “security work we are not going to tell you about” diye ozetleyerek kapali guvenlik arastirmasi trendine dikkat cekti. Kaynak: https://bsky.app/profile/simonwillison.net/post/3miws4aa3js2y
• Mastodon akisi, 178 AI modelinin yazim “fingerprint” analizine dair calismayi paylasarak provenance ve model tespiti basliginin toplulukta yankilandigini gosterdi. Kaynaklar: https://mastodon.social/@BeginnersInAi/116371058707125978 | https://mastodon.social/@Techino/116370869891233623
• Infosec/Mastodon akisi, GPT-5-codex release note sinyallerini “agentic coding” ekseninde yorumladi; coding-agent yarisi sosyal akisda da sicak. Kaynak: https://infosec.exchange/@solomonneas/116369451327675044
• Craig Brown paylasimi, OpenClaw’in tek kisilik shipping gucu carpani olarak konusulmasi agent-orchestration araclarina olan ilgiyi gosteriyor. Kaynak: https://mastodon.social/@craigbrownphd/116367311259827662

Oracle Self-Improvement Sinyalleri

• Pipeline bugun agent + safety + infra overlap’ini iyi yakaliyor, fakat Google News URL’leri ikincil kaynaklara kapali. Bir sonraki iterasyonda canonical URL cozumleme katmani eklenmeli. Kaynak: https://news.google.com/rss/articles/CBMiuAFBVV95cUxNM25rWXBKX2traWptOXQtUjRQcUtmZkNrME8zR2RLS2V0djhxdU5kMVRmS2t2YmM2anhhVzcwS1F6cDJyTWZrYl9RRW01QjJ4SWJxQnVSRUpJNldVd1RaNnNDcE9LWnI3bUw3ZllIUmN0cG1FNUp0LUJvU0RnQUpESUs0NjN1Y1B5b2x2ZjlFTDM3ek5uaXZ6ZERqaXkybV82V2VkcjZwQ0VPaW5BalI2aURNTFZMdDN20gG-AUFVX3lxTE9RR0xuc3VtZFluTjJObG0zYWZEZDVZektxRzZoMGtjQzJIYWNqLVlULVUyNEZ1QUN5N0RucVdzYnBHZjM2UzY3WUFoNm9wa29xQmpnbFlfT3lOMm9DN0k2RlhCZ2NPdXJGNlhmTTNxakl4bXF3cEUwM005OGJpTkF3WXItb0xTeDUxRDdYYkw4emtpMXkxV3pRUlU0THRhcFM3bUZCWEF6Q0JncXl6bjR0Y3VOZEZSb1dOZzZoVkE?oc=5
• Academic akis cok guclu, ancak kategori siniflama CAT-04’e asiri yigiliyor. V3 pipeline, paper’lari memory/safety/infra/multimodal diye ikinci bir semantic pass ile yeniden etiketlemeli. Kaynaklar: https://arxiv.org/abs/2604.05074 | https://arxiv.org/abs/2604.05522 | https://arxiv.org/abs/2604.05669
• Social stream gürültulu ama erken sinyal degerli. Simon Willison ve infosec odakli hesaplar daha yuksek agirlikla puanlanabilir. Kaynaklar: https://bsky.app/profile/simonwillison.net/post/3miwzedsfjc24 | https://infosec.exchange/@solomonneas/116369451327675044
• Consumer app sinyalleri ile enterprise infra sinyalleri ayni raporda daha net ayrilmali. Tubi/Google dictation gibi dagitim hikayeleri ile Bedrock/Safetensors gibi altyapi hikayeleri farkli skor mantigi isteyebilir. Kaynaklar: https://techcrunch.com/2026/04/08/tubi-is-the-first-streamer-to-launch-a-native-app-within-chatgpt/ | https://huggingface.co/blog/safetensors-joins-pytorch-foundation | https://aws.amazon.com/blogs/machine-learning/manage-ai-costs-with-amazon-bedrock-projects/

Kaynak Ozeti

• RSS / blog akisinda Hugging Face, AWS, NVIDIA ve TechCrunch bugunun ana sinyal tasiyicilari oldu. Kaynaklar: https://huggingface.co/blog/ibm-research/altk-evolve | https://huggingface.co/blog/safetensors-joins-pytorch-foundation | https://aws.amazon.com/blogs/machine-learning/customize-amazon-nova-models-with-amazon-bedrock-fine-tuning/ | https://blogs.nvidia.com/blog/national-robotics-week-2026/ | https://techcrunch.com/2026/04/08/atlassian-confluence-visual-ai-tools-agents/
• Academic akis, memory, calibration, unlearning, agent benchmarking ve multimodal reliability etrafinda yogunlasti. Kaynaklar: https://arxiv.org/abs/2604.05074 | https://arxiv.org/abs/2604.05397 | https://arxiv.org/abs/2604.05669 | https://arxiv.org/abs/2604.05557 | https://arxiv.org/abs/2604.05522
• Community akis, GitHub trending ve Lobsters uzerinden edge AI, memory systems ve eval pipeline’larini one cikardi. Kaynaklar: https://github.com/google-ai-edge/gallery | https://github.com/google-ai-edge/LiteRT-LM | https://tombedor.dev/approaches-to-agent-memory/ | https://www.pipevals.com

Dedupe & Kalite Notu

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Toplam 2380 item islendi, raporda secili olarak 40+ benzersiz item/sinyal kullanildi.
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