AIStarMap

News & Updates

June 9, 2026

How to use FinChat: with executable task flow as the core

FinChat’s public functions, cost structure, version information and applicable boundaries are organized.
Source: FinChat official documentation

Fireflies.ai capability analysis: How to use AI in office and efficiency scenarios

Fireflies.ai is an AI conference recording, transcription and analysis platform that supports mainstream video conferencing such as Zoom and Teams, and provides conversation sentiment analysis, sales intelligence, and action item tracking.
Source: Fireflies.ai official documentation

Exa Product Observation: Capability Inventory in AI Search Direction

Exa (formerly Neural.link) is a neural semantic search API designed specifically for AI applications. It searches the network based on embedding vector similarity and returns complete web page text instead of abstracts. It is one of the best solutions for RAG systems and AI Agents to obtain real-time network knowledge.
Source: Exa official documentation

EmailTriager product observation: Capability inventory in the direction of AI office and efficiency

EmailTriager's core capabilities, cost structure, version evolution, application scenarios and applicable boundaries are organized to help the team complete pilots and pre-purchase evaluations.
Source: EmailTriager official documentation

ElevenLabs capability analysis: How to use AI audio scenes

ElevenLabs provides a complete capability stack from speech synthesis to speech agents. This article summarizes its model, pricing, enterprise capabilities, scenario adaptation and key points for Chinese users.
Source: ElevenLabs official documentation

Understand Elicit in one article: Providing AI capabilities for business and content scenarios

This article dismantles Elicit from parameters, functions, costs, versions and implementation boundaries to help the team form executable judgments during the pilot and expansion stages.
Source: Elicit official documentation

Understand Elephas in one article: AI assistant for individual and team knowledge workflows

Elephas' core capabilities, cost structure, version evolution, application scenarios and applicable boundaries are organized to help the team complete pilots and pre-purchase evaluations.
Source: Elephas official documentation

Re-understand Duolingo Max: the core capabilities of AI learning tools

Duolingo Max is Duolingo's advanced AI language learning subscription based on GPT-4, providing two major AI functions: Explain My Answer intelligent error analysis and Roleplay situational dialogue.
Source: Duolingo Max official documentation

editGPT capability analysis: how to use AI writing scenarios

EditGPT's core capabilities, cost structure, version evolution, application scenarios and applicable boundaries are organized to help the team complete pilots and pre-purchase evaluations.
Source: editGPT official documentation

DreamStudio capability analysis: How to use AI images and design scenarios

DreamStudio's public functions, cost structure, version information and applicable boundaries are organized.
Source: DreamStudio official documentation

Re-understand Dify: the core capabilities of AI agent tools

Dify is an open source AI workflow platform with 143K+ stars on GitHub. It supports visual orchestration Agent, RAG knowledge base and multi-model management. It provides cloud hosting and self-deployment, and is suitable for enterprises and developers to quickly build production-level AI applications.
Source: Dify official documentation

One article to understand Doubao Doubao: Doubao is ByteDance’s integrated AI for the public and enterprises

Doubao is an AI assistant owned by ByteDance that provides Chinese Q&A, creation, multi-modal understanding and mobile experience. This article summarizes its core capabilities, version evolution, pricing path and application scenarios.
Source: Doubao official documentation

Devin Product Observation: Capability Inventory in AI Programming Direction

Devin is an AI software engineer launched by Cognition. He can independently plan, code, debug and submit code, and supports parallel Cloud Agent and Devin Desktop IDE.
Source: Devin official documentation

How to use Diagram: with executable task flow as the core

Diagram’s public functions, cost structure, version information and applicable boundaries are organized.
Source: Diagram official documentation

Descript Product Observation: Capability Inventory in AI Video Direction

Descript allows users to edit videos like documents through automatic transcription, Overdub AI voice cloning can fix slips of the tongue, and Underlord AI suite automatically removes fillers, generates subtitles and summaries, and was acquired by Spotify in 2024.
Source: Descript official documentation

How to use DeerFlow: ByteDance open source long-range tasks

DeerFlow is ByteDance's open-source long-range task SuperAgent framework, which emphasizes research, coding, and creation scenarios, and has capabilities such as memory, tools, skills, and subagents.
Source: DeerFlow official documentation

DeepSeek Product Observation: Capability Inventory in the Direction of AI Chat Assistant

DeepSeek is an open source large model and AI assistant owned by Magic Square Quantitative. It provides DeepSeek-V3, R1 and other models, supports intelligent dialogue, code generation and deep reasoning. It is available on the web and App for free.
Source: DeepSeek official documentation
April 24, 2026

DeepSeek releases preview version of V4 series: V4-Pro reaches 1.6T parameters and supports millions of token contexts

On April 24, 2026, DeepSeek released a preview version of the V4 series, including V4-Pro with 1.6T parameters and V4-Flash with 284B, both supporting million token contexts, open sourced under the MIT protocol, and adopted by chip manufacturers such as Huawei and Cambrian.
Source: DeepSeek official
August 2, 2026

DeepSeek-V4-Flash official version public beta: single task cost is about 60% lower than GPT-5.6 Luna

The official version of DeepSeek-V4-Flash is open for public beta. The cost of a single task is about 60% lower than that of GPT-5.6 Luna. The cache hit rate is about 98%, which reduces the cost of repeated contexts. During the public beta period, high concurrency stability and complex task consistency need to be observed.
Source: user feed
December 26, 2024

DeepSeek releases V3 large model: 671B MoE base, performance benchmarking GPT-4o and Claude 3.5

On December 26, 2024, DeepSeek released the 671B parameter MoE base model DeepSeek-V3, with a single token activation of about 37B. It added multi-token prediction and adopted FP8 mixed precision training. Its performance benchmarked GPT-4o and Claude 3.5 Sonnet, and attracted industry attention with extremely low training cost.
Source: DeepSeek official