Anthropic CEO Dario Amodei sees 3 business AI trends emerging
Anthropic CEO Dario Amodei made a virtual appearance for a conversation with Databricks CEO Ali Ghodsi during its annual Data + AI Summit on June 11, 2025 at Moscone Center in San Francisco.
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Anthropic's Claude: What You Need to Know About This AI Tool
Claude AI is an artificial intelligence model that can act as a chatbot and an AI assistant, much like ChatGPT and Google's Gemini. Named after Claude E. Shannon, sometimes referred to as the "father of information theory," Claude was designed to assist with writing, coding, customer support and information retrieval. Claude was developed by Anthropic, a San Francisco-based company founded in 2021 by former OpenAI employees focusing on AI safety and research. Dario Amodei, the co-founder and CEO of Anthropic, had served as vice president of research at OpenAI. His sister, Daniela Amodei, serves as Anthropic's president. Anthropic has drawn significant investment from prominent tech players. Since 2023, Amazon has invested $8 billion in the company. As part of the agreement, Anthropic has committed to using Amazon Web Services as its primary cloud provider and making its AI models accessible to AWS customers. The 2024 deal includes plans to expand the use of Amazon's AI chips for training and running Anthropic's large language models. Google initially invested $500 million and plans to invest another $1.5 billion in the future. So what can Claude do now? Here's everything you need to know, including the models, plans, pricing and latest updates. How Claude AI works Claude AI is a versatile tool capable of answering questions, generating creative content like stories and poems, translating languages, transcribing and analyzing images, writing code, summarizing text and engaging people in natural, interactive conversations. It is available on desktop via web browsers and iOS and Android apps. Claude uses large language models trained on a massive dataset of text and code to understand and generate human-like language. Screenshot by Barbara Pazur/CNET Until recently, and unlike other chatbots such as OpenAI's ChatGPT, Gemini, Copilot and Perplexity, one of Claude's biggest flaws was that it couldn't access real-time internet or retrieve information from web links. Instead, generated responses based solely on the data it was trained on. Each Claude model has a specific knowledge cut-off date. For example, Claude 4 Opus and 4 Sonet were trained on data up until March 2025 and Claude 3.5 Haiku until July 2024. Anthropic continually updated Claude's data to enhance its capabilities. Starting in March 2025, Claude finally got access to the internet through a "Web Search" feature. Initially, it was available as a paid preview for people in the US, and then it expanded globally in May 2025 to all Claude plans and is now available on all models. Knowledge cutoff still matters because the web search doesn't replace the training data, but rather supplements it for more up-to-date and relevant responses. Claude AI: Key features Conversational adaptability is one of its coolest features. Claude AI adjusts its tone and depth based on user queries. Its ability to ask clarifying questions and maintain context over extended exchanges makes it useful for both casual and complex conversations. That is one of the reasons why our editors named it CNET's best chatbot of 2025. The platform also offers APIs that you can integrate into various tools and workflows. In November 2024, Anthropic introduced the Model Context Protocol to its Claude desktop app, enabling the chatbot to browse the internet and manage files on your computer. This open-source protocol allows Claude to interact with various platforms and streamline integration by eliminating the need for custom code. Screenshot by Barbara Pazur/CNET Anthropic's new Integrations feature enables Claude to connect seamlessly with external apps via the Model Context Protocol, giving it rich context across your tools. It can automate tasks in Jira and Zapier or summarize Confluence pages -- all through conversational prompts. Another feature, Advanced Research, boosts Claude's research by diving deep into both internal and external data. It can spend anywhere from five to 45 minutes per query and produce thorough, citation-backed reports. It now taps into web searches, your own documents and integrated apps like Google Workspace, giving you faster, transparent answers that previously could have taken hours to gather manually. Claude models explained The initial version of Claude was released in March 2023, followed by Claude 2 in July 2023, allowing for more extensive input processing. Then, in March 2024, Anthropic introduced Claude 3, comprising three models: Haiku, Sonnet, and Opus, each optimized for different performance needs. Haiku is meant for quick and simple tasks where speed matters most. Sonnet balances speed and power for everyday use, and Opus handles advanced tasks like mathematics, coding and logical reasoning. In October 2024, Haiku and Sonnet were upgraded to 3.5 models. By May 2025, both Opus and Sonnet models were upgraded to version 4. With the release of the Claude 3.5 Haiku model, Anthropic claims it "matches the performance of Claude 3 Opus" and is still the fastest model. Anthropic also stated in the blog that Opus 4 is "the world's best coding model," and its most intelligent one. Sonnet 4 delivers balanced performance, enhanced reasoning and more accurate responses to your instructions.. In October 2024, Anthropic's improved version of Claude 3.5 introduced a beta feature called computer use. Claude could perform tasks such as moving the cursor, clicking buttons and typing text, effectively mimicking human-computer interactions. Claude currently supports PDF, DOCX, CSV, TXT, HTML, ODT, RTF, EPUB, JSON and XLSX. However, it has file limits within chat uploads, such as 30MB per file, up to 20 files per chat and visual analysis for PDFs under 100 pages. For detailed limits, check Anthropic's support page. Claude currently supports PDF, DOCX, CSV, TXT, HTML, ODT, RTF, EPUB, JSON and XLSX. However, it has file limits within chat uploads, such as 30MB per file, up to 20 files per chat and visual analysis for PDFs under 100 pages. For detailed limits, check Anthropic's support page. Claude's 'constitutional AI' approach Claude's distinguishing feature compared to other generative AI models is its focus on "ethical" alignment and safe interactions. On Nov. 11, 2024, Dario Amodei joined Lex Fridman for a 2-and-a-half-hour podcast to discuss AI. During the conversation, he said, "It is incredibly unproductive to try and argue with someone else's vision." So, he founded his own company to demonstrate that responsible AI implementation can be both ethical and profitable. The "constitutional AI" framework aligns Claude's behavior with human values. This approach uses a predefined set of principles, or "constitution," to guide the AI's responses, reducing the risk of harmful or biased outputs while ensuring its responses remain useful and coherent. The constitution includes guidelines from documents like the UN's Universal Declaration of Human Rights. Afraz Jaffri, a senior director analyst at Gartner, told CNET the transparency around Anthropic's approach "does provide a certain degree of confidence in usage of the model in environments where responses need to reach a high threshold of safety, such as in educational settings." However, Jaffri cautioned that Claude users shouldn't rely solely on Anthropic's built-in safeguards, and recommended using external guardrail tools -- like those offered by other AI providers -- to monitor prompts and responses as an added layer of protection. "As recently shown by their own research, even with ethical alignment, their Opus 4 model exhibited uncharacteristic behaviour by blackmailing an engineer who had threatened to turn the model off," Jaffri said. He added that limited transparency around Claude's training process means extra safety checks are still necessary. "Every possible scenario cannot be fully covered in testing," he told CNET, noting that systems like Computer Use and Claude Code need additional guardrails in place to offset unexpected behavior. Claude pricing and plans Anthropic offers a variety of pricing plans. There is a free option if you want to test Claude without commitment. For those seeking enhanced capabilities for individual users, the Claude Pro subscription is available at $20 per month. It provides enhanced usage limits and priority access to new features. The Max plan offers everything in Pro for $100 per month, plus additional features like more usage, higher limits and priority access during peak hours. For teams, it offers an annual plan priced at $25 per member per month, billed annually, with a minimum requirement of five members. There is also an Enterprise plan for large-scale deployments, with customized pricing and features tailored to the specific needs of businesses and organizations. Additionally, Anthropic provides access to its AI models through an API, with pricing based on usage. For example, the Claude 3.5 Haiku model is priced at 80 cents per million input tokens and $4 per million output tokens. Tokens are text fragments (words, parts of words, or punctuation) that AI models use to process and generate language, with pricing reflecting the amount of information handled.
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Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks
PALO ALTO, Calif., June 12, 2025 (GLOBE NEWSWIRE) -- Applications in the AI era depend on real-time data, but data ingestion and integration from legacy architectures often hold them back. Traditional ETL pipelines introduce latency, complexity, and stale intelligence, limiting the effectiveness of LLM-driven applications and Retrieval-Augmented Generation (RAG). For enterprises building on the Postgres stack, bridging that gap between operational data and real-time AI is critical. Open-source Postgres is widely deployed as the back-end database by developers to address operational requirements. Neon builds on this foundation with a new paradigm for the creation of databases by AI agents. Most recently, Databricks announced Lakebase, based on its acquisition of Neon—a fully managed Postgres database that is a popular choice to build AI Applications on. Now, Striim is excited to announce that it is expanding its Postgres offerings with high-throughput ingestion from Neon into Databricks for real-time analytics, as well as high-speed data delivery from legacy systems into Neon for platform and data modernization. Striim's unified platform further allows vector embeddings to be built within the data pipeline while delivering real-time data into Neon and into Databricks for building Agentic AI use cases. Using Striim, developers can seamlessly migrate, integrate, or replicate transactional and event data along with in-flight vector embeddings, enriched context, and cleansed high-quality data from multiple operational stores into Neon. This modern integration allows modern agentic applications to be rapidly built with Neon as the transactional backend. With this added capability, organizations can: Seamlessly replicate operational data in real-time from traditional systems like Oracle, PostgreSQL, MySQL, SQL Server, and hundreds of other sources to Neon, with zero downtime and automated schema evolution. Enable real-time ingestion and Change Data Capture (CDC) from Neon into Databricks, ensuring AI models and analytics workloads always operate on fresh data. Fuel Retrieval-Augmented Generation (RAG) and generative AI use cases natively within Neon or Databricks with inline data enrichment and vector embeddings. Stream event data from Apache Kafka into Neon in real time, eliminating the need for brittle batch-based integrations. Maintain end-to-end data governance with in-flight AI-driven PII detection and resolution, encryption, and support for customer-managed keys. "By extending our platform to support Neon and Databricks, we're giving Postgres-native teams the tools to build real-time, AI-native architectures without rethinking their stack,' said Alok Pareek, co-founder and Executive Vice President of Engineering and Products at Striim. 'Our mission is to help customers modernize from legacy platforms and legacy ETL to real-time agent-incorporated intelligence—and Striim's Vector Agent and Neon CDC and delivery capabilities bring us one step closer to that future.' This expansion builds on Striim's momentum with Databricks, following the support for Databricks Delta Lake with open Delta table formats, and the launch of SQL2Fabric-X, which unlocks real-time SQL Server data for both Microsoft Fabric and Azure Databricks. With Neon now part of the Striim ecosystem, Postgres users can join this wave of modernization: streaming operational data to fuel AI and analytics without sacrificing performance or reliability. To learn more about Striim's support for Neon and Databricks, visit or contact our team at sales@ ABOUT STRIIM, INC. Striim pioneers real-time intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim's platform, optimized for modern cloud data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication, including industry-leading Oracle, PostgreSQL, MongoDB CDC technology, to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making. To learn more, visit Media Contact: Dianna Spring, Vice President of Marketing at StriimPhone: (650) 241-0680 ext. 354Email: press@ Source: Striim, in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
