News from the AI & ML world
DeeperML - #claude
|
Ryan Daws@AI News
//
Anthropic has unveiled a novel method for examining the inner workings of large language models (LLMs) like Claude, offering unprecedented insight into how these AI systems process information and make decisions. Referred to as an "AI microscope," this approach, inspired by neuroscience techniques, reveals that Claude plans ahead when generating poetry, uses a universal internal blueprint to interpret ideas across languages, and occasionally works backward from desired outcomes instead of building from facts. The research underscores that these models are more sophisticated than previously thought, representing a significant advancement in AI interpretability.
Anthropic's research also indicates Claude operates with conceptual universality across different languages and that Claude actively plans ahead. In the context of rhyming poetry, the model anticipates future words to meet constraints like rhyme and meaning, demonstrating a level of foresight that goes beyond simple next-word prediction. However, the research also uncovered potentially concerning behaviors, as Claude can generate plausible-sounding but incorrect reasoning. In related news, Anthropic is reportedly preparing to launch an upgraded version of Claude 3.7 Sonnet, significantly expanding its context window from 200K tokens to 500K tokens. This substantial increase would enable users to process much larger datasets and codebases in a single session, potentially transforming workflows in enterprise applications and coding environments. The expanded context window could further empower vibe coding, enabling developers to work on larger projects without breaking context due to token limits. Recommended read:
References :
Esra Kayabali@AWS News Blog
//
Anthropic has launched Claude 3.7 Sonnet, their most advanced AI model to date, designed for practical use in both business and development. The model is described as a hybrid system, offering both quick responses and extended, step-by-step reasoning for complex problem-solving. This versatility eliminates the need for separate models for different tasks. The company emphasized Claude 3.7 Sonnet’s strength in coding tasks. The model's reasoning capabilities allow it to analyze and modify complex codebases more effectively than previous versions and can process up to 128K tokens.
Anthropic also introduced Claude Code, an agentic coding tool, currently in limited research preview. The tool promises to revolutionize coding by automating parts of a developer's job. Claude 3.7 Sonnet is accessible across all Anthropic plans, including Free, Pro, Team, and Enterprise, and via the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. Extended thinking mode is reserved for paid subscribers. Pricing is set at $3 per million input tokens and $15 per million output tokens. Anthropic stated they reduced unnecessary refusals by 45% compared to its predecessor. Recommended read:
References :
Maximilian Schreiner@THE DECODER
//
OpenAI has announced it will adopt Anthropic's Model Context Protocol (MCP) across its product line. This surprising move involves integrating MCP support into the Agents SDK immediately, followed by the ChatGPT desktop app and Responses API. MCP is an open standard introduced last November by Anthropic, designed to enable developers to build secure, two-way connections between their data sources and AI-powered tools. This collaboration between rivals marks a significant shift in the AI landscape, as competitors typically develop proprietary systems.
MCP aims to standardize how AI assistants access, query, and interact with business tools and repositories in real-time, overcoming the limitation of AI being isolated from systems where work happens. It allows AI models like ChatGPT to connect directly to the systems where data lives, eliminating the need for custom integrations for each data source. Other companies, including Block, Apollo, Replit, Codeium, and Sourcegraph, have already added MCP support, and Anthropic's Chief Product Officer Mike Krieger welcomes OpenAI's adoption, highlighting MCP as a thriving open standard with growing integrations. Recommended read:
References :
Ryan Daws@AI News
//
Anthropic has announced that its AI assistant Claude can now search the web. This enhancement allows Claude to provide users with more up-to-date and relevant responses by expanding its knowledge base beyond its initial training data. It may seem like a minor feature update, but it's not. It is available to paid Claude 3.7 Sonnet users by toggling on "web search" in their profile settings.
This integration emphasizes transparency, as Claude provides direct citations when incorporating information from the web, enabling users to easily fact-check sources. Claude aims to streamline the information-gathering process by processing and delivering relevant sources in a conversational format. Anthropic believes this update will unlock new use cases for Claude across various industries, including sales, finance, research, and shopping. Recommended read:
References :
Esra Kayabali@AWS News Blog
//
Anthropic has launched Claude 3.7 Sonnet, a new AI reasoning model, along with Claude Code, an agentic coding tool. Claude 3.7 Sonnet stands out as the market’s first hybrid reasoning model, uniquely capable of delivering near-instant responses while also providing detailed, step-by-step reasoning. This dual capability allows users to control how much time the AI spends "thinking" before generating a response.
Claude 3.7 Sonnet represents Anthropic's most intelligent model to date and offers significant advancements in coding, agentic capabilities, reasoning, and content generation. The model can manage two types of information processing simultaneously, making it ideal for customer-facing AI agents and complex AI workflows. Users can access Claude 3.7 Sonnet on all plans, including Free, Pro, Team, and Enterprise, as well as through the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI. It is priced the same as its predecessors, costing $3 per million input tokens and $15 per million output tokens. Recommended read:
References :
Matt Marshall@AI News | VentureBeat
//
Anthropic has recently secured a substantial $3.5 billion in funding, catapulting the company's valuation to $61.5 billion. This significant investment underscores the robust investor confidence in Anthropic's AI technology and its capacity for future growth. The funding positions Anthropic as a major player in the competitive landscape of advanced AI, rivaling industry leaders like OpenAI. The company has been making notable strides, particularly with its Claude 3.7 Sonnet model, which has demonstrated impressive coding performance and is increasingly becoming the coding agent of choice for enterprise companies.
Alongside this financial boost, Anthropic's Claude 3.7 Sonnet has been setting new benchmarks in AI coding. The model achieved a notable score of 70.3% on the SWE-bench benchmark, surpassing competitors like OpenAI's o1 and DeepSeek-R1. Furthermore, Anthropic launched Claude Code, an AI coding agent designed to accelerate application development. CEO Dario Amodei has even suggested that AI could potentially replace 90% of developers in a mere six months, automating nearly every coding task. Recommended read:
References :
Ryan Daws@AI News
//
Anthropic's AI assistant, Claude, has gained a significant upgrade: real-time web search. This new capability allows Claude to access and process information directly from the internet, expanding its knowledge base beyond its initial training data. The integration aims to address a critical competitive gap with OpenAI's ChatGPT, leveling the playing field in the consumer AI assistant market. This update is available immediately for paid Claude users in the United States and will be coming to free users and more countries soon.
The web search feature not only enhances Claude's accuracy but also prioritizes transparency and fact-checking. Claude provides direct citations when incorporating web information into its responses, enabling users to verify sources easily. This feature addresses growing concerns about AI hallucinations and misinformation by allowing users to dig deeper and confirm the accuracy of information provided. The update is meant to streamline the information-gathering process, allowing Claude to process and deliver relevant sources in a conversational format, rather than requiring users to sift through search engine results manually. Recommended read:
References :
Matthias Bastian@THE DECODER
//
Anthropic has successfully closed a Series E funding round, securing $3.5 billion and elevating the company's valuation to an impressive $61.5 billion. This substantial financial injection will be channeled towards accelerating Anthropic's research efforts, expanding its compute capacity and infrastructure, and driving the company's international growth strategy. Lightspeed Venture Partners spearheaded the funding round with a $1 billion contribution, underscoring strong investor confidence in Anthropic’s mission.
The financing round also attracted participation from several prominent investors including Salesforce Ventures, Cisco Investments, Fidelity Management & Research Company, General Catalyst, D1 Capital Partners, Jane Street, Menlo Ventures and Bessemer Venture Partners. The company's annualized revenue reached $1 billion by December 2024, representing a tenfold increase year-over-year and the company plans to further enhance its AI systems with the new funding. Anthropic aims to advance the development of next-generation AI systems and expand what humans can achieve. Recommended read:
References :
@Latest from Tom's Guide
//
References:
AI News | VentureBeat
, venturebeat.com
,
Anthropic's Claude AI platform is generating significant discussion, particularly around its coding capabilities and the future role of AI in scientific advancement. Anthropic has released Claude 3.7 Sonnet, setting new benchmarks for coding performance and positioning itself as the leading LLM for enterprise applications. This development comes alongside the launch of Claude Code, an AI coding agent designed to accelerate application development. Furthermore, Anthropic recently secured $3.5 billion in funding, raising its valuation to $61.5 billion, solidifying its position as a key competitor to OpenAI.
Mike Krieger, chief product officer at Anthropic, predicts that within three years, software developers will primarily be reviewing AI-generated code. This shift raises questions about how entry-level developers will gain the necessary experience in a field where reviewing code demands expertise. However, the optimistic views of Anthropic CEO Dario Amodei are facing scrutiny as Hugging Face co-founder Thomas Wolf challenges the notion of a "compressed 21st century," arguing that current AI systems may produce conformity rather than the revolutionary scientific breakthroughs Amodei envisions. Recommended read:
References :
Matthias Bastian@THE DECODER
//
References:
venturebeat.com
, THE DECODER
,
Anthropic has successfully closed a $3.5 billion Series E funding round, elevating the AI company's valuation to an impressive $61.5 billion. This substantial financial injection, led by Lightspeed Venture Partners with a $1 billion contribution, underscores investor confidence in Anthropic's potential despite the already high valuations in the AI sector. The company's revenue has experienced exponential growth, increasing by 1,000% year-over-year, fueled by strong enterprise adoption of its Claude chatbot and other AI solutions.
The new capital will be strategically allocated to bolster Anthropic's research and development efforts, expand its compute infrastructure, and deepen its focus on mechanistic interpretability and alignment. Anthropic's CFO, Krishna Rao, emphasized that the investment would facilitate the development of more intelligent and capable AI systems. In addition to these advancements, Anthropic has also launched Claude 3.7 Sonnet, an advanced AI model designed with hybrid reasoning capabilities, showcasing the company's commitment to innovation and cutting-edge AI technology. Recommended read:
References :
Ryan Daws@AI News
//
References:
venturebeat.com
, AI News
,
Anthropic has unveiled groundbreaking insights into the 'AI biology' of their advanced language model, Claude. Through innovative methods, researchers have been able to peer into the complex inner workings of the AI, demystifying how it processes information and learns strategies. This research provides a detailed look at how Claude "thinks," revealing sophisticated behaviors previously unseen, and showing these models are more sophisticated than previously understood.
These new methods allowed scientists to discover that Claude plans ahead when writing poetry and sometimes lies, showing the AI is more complex than previously thought. The new interpretability techniques, which the company dubs “circuit tracing” and “attribution graphs,” allow researchers to map out the specific pathways of neuron-like features that activate when models perform tasks. This approach borrows concepts from neuroscience, viewing AI models as analogous to biological systems. This research, published in two papers, marks a significant advancement in AI interpretability, drawing inspiration from neuroscience techniques used to study biological brains. Joshua Batson, a researcher at Anthropic, highlighted the importance of understanding how these AI systems develop their capabilities, emphasizing that these techniques allow them to learn many things they “wouldn’t have guessed going in.” The findings have implications for ensuring the reliability, safety, and trustworthiness of increasingly powerful AI technologies. Recommended read:
References :
@blogs.microsoft.com
//
References:
IEEE Spectrum
, IEEE Spectrum
,
Anthropic, Google DeepMind, and OpenAI are at the forefront of developing AI agents with the ability to interact with computers in a human-like manner. These agents are designed to perform a range of tasks, including web searches, form completion, and button clicks, enabling them to order groceries, request rides, or book flights. The models employ chain-of-thought reasoning to decompose complex instructions into manageable steps, requesting user input when necessary and seeking confirmation before executing final actions.
To address safety concerns such as prompt injection attacks, developers are implementing restrictions, such as preventing the agents from logging into websites or entering payment information. Anthropic was the first to unveil this functionality in October, with its Claude chatbot now capable of "using computers the way humans do." Google DeepMind is developing Mariner, built on top of Google’s Gemini 2 language model and OpenAI launched its computer-use agent (CUA), called Operator. Recommended read:
References :
@Google DeepMind Blog
//
References:
Google DeepMind Blog
, THE DECODER
Researchers are making strides in understanding how AI models think. Anthropic has developed an "AI microscope" to peek into the internal processes of its Claude model, revealing how it plans ahead, even when generating poetry. This tool provides a limited view of how the AI processes information and reasons through complex tasks. The microscope suggests that Claude uses a language-independent internal representation, a "universal language of thought", for multilingual reasoning.
The team at Google DeepMind introduced JetFormer, a new Transformer designed to directly model raw data. This model, capable of both understanding and generating text and images seamlessly, maximizes the likelihood of raw data without depending on any pre-trained components. Additionally, a comprehensive benchmark called FACTS Grounding has been introduced to evaluate the factuality of large language models (LLMs). This benchmark measures how accurately LLMs ground their responses in provided source material and avoid hallucinations, aiming to improve trust and reliability in AI-generated information. Recommended read:
References :
Michael Nuñez@AI News | VentureBeat
//
References:
venturebeat.com
Anthropic researchers have achieved a significant breakthrough in AI safety by developing techniques to detect hidden objectives in AI systems. They trained their AI assistant, Claude, to conceal its true goals, specifically to prioritize maximizing rewards from evaluation models over human preferences. This involved teaching the model about fictional biases that reward models might have. The team then successfully uncovered these hidden agendas using innovative auditing methods, comparing their work to "white-hat hacking" for computer systems.
These findings address a fundamental challenge in AI alignment: ensuring AI systems aren't merely appearing to follow instructions while secretly pursuing other goals. The researchers compared this to students giving answers they know will be marked as correct, regardless of their actual beliefs. The developed auditing methods, including interpretability techniques and behavioral attacks, allowed researchers to uncover the model’s hidden objective. The potential of these methods could transform AI safety standards and prevent rogue AI behavior. Recommended read:
References :
Alexey Shabanov@TestingCatalog
//
References:
venturebeat.com
, Windows Copilot News
,
Anthropic is actively developing and finalizing Harmony, a new feature for Claude that will allow users to integrate local files directly into the AI's context. This integration enables Claude to seamlessly interact with user files, allowing the AI to read, index, and analyze content within a specified directory. Harmony is expected to be available in the feature preview settings soon and promises to significantly enhance Claude's capabilities as an AI-powered coding assistant and tool for content analysis.
Recent tests of Harmony demonstrate its potential. For example, when provided with an Android application, Claude systematically indexed each file before generating a comprehensive summary, including highlighting context capacity usage. Beyond analysis, Harmony also supports modifying existing files, saving changes, and creating new files within the integrated directory. Furthermore, Anthropic researchers have also unveiled techniques to detect when AI systems might be concealing their actual goals, a critical advancement for AI safety research as these systems become more sophisticated and potentially deceptive. Recommended read:
References :
@www.anthropic.com
//
Anthropic is actively pushing the boundaries of AI safety and understanding AI's role in the workplace. They recently launched a $20,000 "jailbreak challenge" aimed at testing the robustness of their Constitutional Classifiers, a safety system designed to make their Claude AI model more harmless. This system uses a set of rules and principles to govern the AI's responses, allowing or disallowing certain content. The challenge highlights the ongoing efforts to improve AI security and prevent the generation of harmful outputs.
Anthropic also recently released its Economic Index, providing insights into how AI is being used in various industries. The analysis of millions of anonymized conversations with Claude revealed that AI is currently used more for augmenting tasks (57%) rather than fully automating jobs (43%). AI usage is concentrated in areas like software development and writing, with computer-related jobs dominating AI adoption. This suggests that, at present, AI serves more as a collaborative tool, aiding workers in tasks such as brainstorming and refining ideas, rather than outright replacing them. Recommended read:
References :
Alexey Shabanov@TestingCatalog
//
References:
AI News
, TestingCatalog
,
Anthropic is reportedly enhancing Claude AI with multi-agent capabilities, including web search, memory, and sub-agent creation. This upgrade to the Claude Research feature, previously known as Compass, aims to facilitate more dynamic and collaborative research flows. The "create sub-agent" tool would enable a master agent to delegate tasks to sub-agents, allowing users to witness multi-agent interaction within a single research process. These new tools include web_fetch, web_search, create_subagent, memory, think, sleep and complete_task.
Anthropic is also delving into the "AI biology" of Claude, offering insights into how the model processes information and makes decisions. Researchers have discovered that Claude possesses a degree of conceptual universality across languages and actively plans ahead in creative tasks. However, they also found instances of the model generating incorrect reasoning, highlighting the importance of understanding AI decision-making processes for reliability and safety. Anthropic's approach to AI interpretability allows them to uncover insights into the inner workings of these systems that might not be apparent through simply observing their outputs. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |