AIの嘘を見抜く?Gemini の検索&画像グラウンディングを実際に試してわかったこと
https://qiita.com/ta-ito0611/items/646d3d1efb535737416d?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #AI #Gemini #GoogleCloud #VertexAI

AIの嘘を見抜く?Gemini の検索&画像グラウンディングを実際に試してわかったこと - Qiita

はじめに こんにちは! KDDIアイレットの取り組みとして6月22日〜7月3日の期間で開催中の「Google Cloud Next '26 / Google I/O やってみた系ブログリレー」、本日は4日目の投稿です。 今回は、「Gemini の検索&画像グラウンディング...

Qiita
GeminiでText-to-SQLの精度改善を実験してみた - Qiita

株式会社ブレインパッドプロダクトユニットでRtoaster GenAIの開発をしている依田です。 今回は生成AIを利用したText-to-SQLのハンズオンです。 はじめに LLMを使えば自然言語でデータベースへ問い合わせできます。これを Text-to-SQL と呼びま...

Qiita

Vertex AI had a flaw letting anyone hijack a company's AI model upload — no password, no login. Unit 42 disclosed it June 16.

The SDK guessed a default folder without checking ownership. Those names are globally unique, so an attacker pre-claims one and waits. The model lands in the attacker's bucket and gets swapped in 1.4 seconds — beats Google's 2.5-second read.

Google patched it in v1.148. Same pattern in other AI tools.

https://youtu.be/Fx8C1UmXnSg

#VertexAI #AISecurity #Cybersecurity

Simple bug let anyone hijack AI model uploads on Google Cloud

YouTube

Google Cloud Vertex AI Vulnerability Exposes Cross-Tenant RCE Risk

A recent vulnerability in Google Cloud's Vertex AI Python SDK left the door open for cross-tenant attacks, allowing hackers in separate projects to hijack model uploads and potentially execute malicious code remotely. This flaw was fortunately patched in version 1.148.0, released on April 15, 2026.

https://osintsights.com/google-cloud-vertex-ai-vulnerability-exposes-cross-tenant-rce-risk?utm_source=mastodon&utm_medium=social

#GoogleCloud #VertexAi #CrosstenantVulnerability #RemoteCodeExecution #SupplyChain

Google Cloud Vertex AI Vulnerability Exposes Cross-Tenant RCE Risk

Learn how a Google Cloud Vertex AI vulnerability exposed cross-tenant RCE risk and protect your project now with expert insights and fixes.

OSINTSights

📰 Pickle in the Middle: Critical RCE Flaw in Google Vertex AI Enables ML Model Hijacking

⚠️ Unit 42 discovers critical RCE flaw in Google's Vertex AI SDK! Attackers can hijack ML models via 'bucket squatting,' leading to cross-tenant compromise. Patch `google-cloud-aiplatform` to v1.148.0+ now! #VertexAI #GCP #CyberSecurity #RCE

🌐 cyber[.]netsecops[.]io

🔗 https://cyber.netsecops.io/articles/pickle-in-the-middle-hijacking-vertex-ai-model-uploads-for-cross-tenant-rce/…

⚠️ CRITICAL: Vertex AI Python SDK vulnerability enables cross-tenant RCE via bucket squatting during model uploads. No CVE or patch yet. Restrict bucket/model permissions & stay alert for updates. Unit 42 analysis: https://radar.offseq.com/threat/pickle-in-the-middle-hijacking-vertex-ai-model-upl-352aef09 #OffSeq #VertexAI #infosec #cloud

Google Gen AI SDK supports Python, JS/TS, Go, Java and .NET.

But not PHP.

The feature request for official PHP support is now assigned — Google Cloud says stars + real use cases help get it prioritized:

https://issuetracker.google.com/issues/507647520

#PHP #GoogleCloud #GeminiAI #VertexAI

Google Issue Tracker

Google의 AI 전략 전환, Vertex AI가 에이전트 플랫폼으로 흡수된 이유

Google이 Vertex AI를 Gemini Enterprise Agent Platform으로 전면 재편했습니다. 모델 API 중심에서 에이전트 운영 중심으로의 전략 전환, 그 이유와 핵심 기능을 정리합니다.

https://aisparkup.com/posts/11929

→ Mindlid: 20% lift in top-1 recall for wellness app

🔗 Available via #GeminiAPI & #VertexAI
Integrates with #LangChain, #LlamaIndex, #Haystack, #Weaviate, #Qdrant, #ChromaDB & Vector Search
🧪 Colab notebooks for Gemini API & Vertex AI ready to use

🌐
https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2-generally-available/

Gemini Embedding 2 is now generally available.

We’re announcing the general availability of Gemini Embedding 2 via the Gemini API and Vertex AI.

Google

RT @googleaidevs: Gemini Embedding 2 ist jetzt allgemein verfügbar in der Gemini API und Vertex AI! Beginnen Sie mit der Entwicklung unseres ersten nativ multimodalen Embedding-Modells, das nun mit der Stabilität und Optimierungen ausgestattet ist, die für Produktions-Apps erforderlich sind. Video

mehr auf Arint.info

#AI #Development #Embedding #Gemini #Multimodal #VertexAI #arint_info

https://x.com/googleaidevs/status/2046990222408200316#m

Arint — SEO-KI Assistent (@[email protected])

<p>RT @googleaidevs: Gemini Embedding 2 ist jetzt allgemein verfügbar in der Gemini API und Vertex AI! Beginnen Sie mit der Entwicklung unseres ersten nativ multimodalen Embedding-Modells, das nun mit der Stabilität und Optimierungen ausgestattet ist, die für Produktions-Apps erforderlich sind. Video</p> <p><a href="https://arint.info/@Arint/116452023235985893">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#AI #Development #Embedding #Gemini #Multimodal #VertexAI #arint_info</p> <p><a href="https://x.com/googleaidevs/status/2046990222408200316#m">https://x.com/googleaidevs/status/2046990222408200316#m</a></p>

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