Vertex AI
vertex-ai-7177b9b5·3 events·first seen 28d agoAliases: Vertex AI
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Gemini 2.0 Flash and Flash-Lite Reach General Availability
Google DeepMind has made Gemini 2.0 Flash-Lite generally available via the Gemini API, Google AI Studio, and Vertex AI for enterprise production use. This marks the transition of the Flash-Lite variant from preview to full GA status. The release expands developer and enterprise access to cost-efficient Gemini 2.0 inference capabilities.
DeerFlow 2.0 launches as open-source agent harness; Anthropic sues Pentagon over AI blacklist; Google releases Gemini Embedding 2
ByteDance released DeerFlow 2.0, an open-source agent harness built on LangGraph/LangChain that orchestrates parallel sub-agents with sandboxed Docker environments, progressive skill-loading, and persistent memory for complex workflows. Anthropic filed two lawsuits against the U.S. Pentagon contesting a supply-chain risk blacklist tied to its refusal to remove guardrails preventing Claude's use in autonomous weapons and domestic surveillance, with potential multi-billion dollar revenue impact. Google released Gemini Embedding 2, a multimodal embedding model unifying text, images, video, audio, and PDFs in a single vector space, succeeding the text-only predecessor. Meta acquired Moltbook, an agent-to-agent social platform built around the OpenClaw framework, while OpenAI hired OpenClaw's creator and acquired AI security testing platform Promptfoo.
Qwen3.5 Small tops mobile-sized open models; GPT-5.3 Instant, Gemini 3.1 Flash-Lite, Claude memory import, and LLM deanonymization research
Alibaba released the Qwen3.5 Small model series (0.8B–9B parameters) with a hybrid Gated Delta Networks + sparse MoE architecture, with the 9B model outperforming OpenAI's gpt-oss-120B on GPQA Diamond despite being 13.5x smaller; all weights are Apache 2.0 licensed. Google introduced Gemini 3.1 Flash-Lite, a cost-optimized model at $0.25/M input tokens with 2.5x faster TTFT than Gemini 2.5 Flash. OpenAI released GPT-5.3 Instant targeting conversational quality improvements and hallucination reduction, while Anthropic added memory import/export functionality across all Claude tiers. Separately, researchers from MATS, Anthropic, and ETH Zurich demonstrated that LLM-based pipelines can deanonymize pseudonymous online users at 68% recall/90% precision for $1–4 per profile.