Gate News message, April 24 — OpenAI has officially released GPT-5.5, a next-generation AI model designed to handle complex objectives, tool integration, self-verification, and multi-step task completion. The model excels at code writing and debugging, online research, data analysis, document

Gate News message, April 23 — Vercel disclosed on April 19 that its security incident, initially described as affecting a "limited subset of customers," has expanded to a much broader developer community, particularly those building AI agent workflows. The attack may affect hundreds of users

Gate News message, April 23 — OpenClaw, an open-source AI Agent platform, released version 2026.4.22 on April 22, with its biggest change being the alignment of Codex harness and Pi harness lifecycles. Previously, plugins behaved inconsistently across the two harness pathways, with some hooks

Gate News message, April 23 — GoPlus AI security component AgentGuard has officially released its Checkup feature, designed to address security blind spots in AI agents' autonomous decision-making and asset control, elevating AI agent security from "fragmented interception" to "systematic

Gate News message, April 23 — Anthropic has introduced /ultrareview (research preview), a cloud-based multi-agent code review feature for Claude Code. Users can type /ultrareview in the CLI to launch a group of review agents in a remote sandbox that work in parallel to examine diffs between the

Gate News message, April 23 — Alibaba Cloud officially released JVS Crew, an enterprise-grade AI Agent construction platform designed with an "integration-first" approach. The platform enables enterprises to quickly embed AI Agent capabilities into existing apps, SaaS services, or smart hardware

Gate News message, April 23 — Google's Jules team announced the opening of a waitlist for a new version of the product, repositioning Jules from an asynchronous coding agent to an end-to-end agentic product development platform. According to the official description, the upgraded platform reads enti

Perplexity uses SFT followed by RL with Qwen3.5 models, leveraging a multi-hop QA dataset and rubric checks to boost search accuracy and efficiency, achieving best-in-class FRAMES performance. Abstract: Perplexity's post-training workflow for web-search agents combines supervised fine-tuning (SFT) to enforce instruction-following and language consistency with online reinforcement learning (RL) via the GRPO algorithm. The RL stage uses a proprietary multi-hop verifiable QA dataset and rubric-based conversational data to prevent SFT drift, with reward gating and within-group efficiency penalties. Evaluation shows Qwen3.5-397B-SFT-RL achieving top FRAMES performance, 57.3% accuracy with a single tool call and 73.9% with four calls at $0.02 per query, outperforming GPT-5.4 and Claude Sonnet 4.6 on these metrics. Pricing is API-based and excludes caching.

OpenClaw switches from Pi to Codex harness to fix a silent authentication fallback, with two PRs addressing the bridge and fallback; post-fix, the agent shifts from shallow heartbeat polling to a full work loop, enabling progress. Abstract: OpenClaw’s Codex harness optimization addressed a critical authentication flaw that caused silent fallback to the Pi harness when using Codex with OpenAI models. Two pull requests fix the authentication bridge and prevent silent fallback, changing the runtime adapter. As a result, agent behavior evolves from shallow heartbeat polling to a full work loop that reads context, analyzes tasks, edits repositories, and verifies progress, improving continuity and visibility across heartbeats.

Gate News message, April 23 — Google announced on April 22 that it will release separate eighth-generation TPU chips for training and inference later this year, replacing its previous combined design. The move targets AI agent workloads and offers Google Cloud customers an alternative to Nvidia