From feature-level attractor geometry to dynamical systems state-space. Read more ›
In the past year, the enterprise AI ecosystem has gained enormous capability and zero consensus. Developers now have a remarkable set of tools for building AI agents: OpenAI’s frameworks, Anthropic’s Claude tooling, LangChain, LangGraph, CrewAI, Microsoft AutoGen, and a growing list of alternatives. Each promises to coordinate reasoning loops, manage multi-step task execution, and connect agents to tools and APIs. For experimentation, the progress has been substantial. Teams can now assemble ... Read more ›
We’ve never had more access to information, but we’ve never trusted it less. When deciding what to buy, consumers are turning to human conversations for validation and fundamentally changing the consumer decision journey – and this is all being shaped on Reddit. Read more ›
Policy-oriented agent-based models are increasingly used to study regulatory interventions in complex adaptive socio-technical systems. Recent adaptive ABM frameworks distinguish between static and adaptive agents, fixed and adaptive policies, and alternative controller designs. However, most diagnostic workflows remain ex post: trajectories are analysed after simulation, but the resulting evidence is not systematically fed back into the polic... Read more ›
I’ve Been Using Agent-Based Modeling to Pressure Test Potential AI Design Decisions. Here’s How. Read more ›
Everyone answers questions over their data with vector search. But some questions aren't 'what's similar' — they're 'what's connected,' and vectors fall off a cliff. I measured vector search, graph traversal, and a hybrid of the two on 1,800 multi-hop movie questions, then settled the Postgres-vs-Neo4j question with real numbers: Postgres wins neighborhood reachability by ~4x, Neo4j wins shortest-path by ~85-135x. The honest answer is to match the engine to the traversal. Read more ›
How LLMs are trained to handle long horizon tasks in complex environments... Read more ›
‘A fantasy’: How the Palestine Action ruling whitewashed the history of civil disobedience Submitted by Katherine Hearst on Wed, 06/17/2026 - 09:02 Court upheld the ban on Palestine Action, denying it is a direct action group 'like the suffragettes' Police detain a demonstrator following a Court of Appeal ruling on the lawfulness of proscribing Palestine Action under terrorism laws, outside the Royal Courts Of Justice in London, 15 June 2026 (Reuters) Off On Monday, five judges Palestine Acti... Read more ›
Running a retail operation has become a more complex undertaking as executives must react to multiple disruptions at the same time. Market volatility, tariff shifts, changing consumer behavior, inventory pressure and margin erosion are happening simultaneously, forcing brands and retailers to make faster, more strategic decisions across their businesses. Read more ›
#Python Changes since langchain==1.3.10 release(langchain): 1.3.11 (strict=True on tools for OpenAI-compatible models in ProviderStrategy (<a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="4720006179" data-permission-text="Title is private" data-url=" data-hovercard-type="pull_request" data-hovercard-url="/langchain-ai/langchain/pull/38370/hovercard" href=" chore: bump pydantic-settings from 2.12.0 to 2.14.2 in /libs/langchain_v1 (<a class="issue-link js-issu... Read more ›
Here I consider a system of ODE or equivalently a vector field on an open subset of Euclidean space. The question is in what way it can be simplified by a coordinate transformation. This leads to the theory of normal forms. My main source for what follows is the book ‘Qualitative Theory of Planar Differential […] Read more ›
Analysts say Britain is responding to civil disobedience with unprecedented severity. Read more ›
From monsoons to inequality, complexity science offers new ways to understand interconnected systems. Can India overcome its data deficit and build smarter policy? Read more ›
🚀 How Lightweight LLMs Can Use Tools Without Large Compute: A Prompt-Driven Tool-Calling Approach AI #LLM #MachineLearning #AIAgents #PromptEngineering #OpenSourceAI 🚀 Introduction Large Language Models (LLMs) like GPT-4 or Claude are extremely powerful, but they come with a major limitation: they require huge computational resources. But what if smaller, open-source models could also perform complex reasoning tasks—without needing massive GPUs? This question led to my research: “Prompt-Drive... Read more ›
The cardiovascular system evolves along a bounded trajectory in physiological state space that converges to a compact geometric object: the cardiac attractor. A wearable photoplethysmograph (PPG) or electrocardiograph (ECG) observes a one-dimensional projection of this attractor; by Takens' embedding theorem, delay coordinates reconstruct its full geometry. Three decades of nonlinear cardiac dynamics have extracted Lyapunov exponents, recurrence... Read more ›
You start with one AI agent to save time. A month later, you've got prompts in a doc, outputs in Slack, half-finished automations in three places, and the same request getting handled a dozen different ways depending on who saw it first. That's what happens when businesses try to "do AI" by building roughly 43 agents with no plan in place to coordinate them. AI agent orchestration solves this problem. Instead of relying on a single, general-purpose AI agent to do everything (which rarely works), Read more ›
The recent dip in US gas prices below $4 per gallon has sparked a wave of excitement among Americans, but it's more than just a price drop. This development is a significant indicator of the country's economic health and consumer behavior. Personally, I think this is a fascinating moment, as it reve... Read more ›
Agentic AI represents the third major platform shift in enterprise software, transforming how SaaS is built, priced, distributed, and consumed by a hybrid workforce of humans and autonomous agents. Learn how ISVs can capture this growth opportunity by building on Amazon Bedrock AgentCore for production-ready agentic deployments, making their capabilities discoverable through open protocols such as MCP and using AWS Marketplace for outcome-based pricing models that capture the measurable value... Read more ›
AutoJack is a novel exploit chain showing how a single malicious webpage can turn an AI browsing agent into a remote code execution vector on the host machine. By abusing trust in localhost, missing authentication, and unsafe parameter handling, attackers can trigger arbitrary process execution through AutoGen Studio’s MCP WebSocket. The research highlights a broader pattern - when agents can browse untrusted content and access local services, traditional boundaries like localhost are no long... Read more ›
...Report (December 2025) Similarweb 2026 AI Search report: ChatGPT Search vs. Perplexity query volume trends Goodfirms ... Search Engine Land: AI search adoption trends (ongoing 2026 coverage) Theoretical FoundationsKahneman, D. (2011)... Read more ›