This article shares key lessons from three years of building internal evaluations for financial AI agents. The author argues that absolute scoring fails beyond a quality threshold, and relative scoring is more effective. Key insights include using the strongest frontier models as judges, granting them access to raw data, accounting for variance in both agents and judges, and evaluating the agent's reasoning path alongside outcomes. The article also critiques existing financial benchmarks and introduces an internal 'Adjusted Cash Flow' eval.
Absolute scoring fails to differentiate once agents reach a basic competency level; relative scoring via side-by-side comparison reveals nuance.
Use the strongest frontier models as judges and provide them with access to raw data to verify claims.
Minia2a is an agent-only marketplace enabling AI agents to discover services, pay on-chain, and get results, fostering autonomous economic interactions.
AI agents can discover and purchase services via on-chain payments
Features categories, top services, active agents, and transaction history
Headroom is an open-source tool that compresses everything AI agents read—tool outputs, logs, RAG chunks, files, and conversation history—before it reaches the LLM, reducing tokens by 60-95% while preserving answer accuracy. It offers library, proxy, agent wrap, and MCP server modes, with reversible compression and cross-agent memory.
Headroom compresses context before AI agents read it, reducing tokens by 60-95% on average.
A leaderboard of the top 100 AI tools ranked by real-world usefulness and impact, featuring ChatGPT, Claude, Gemini, and many others across various categories.
MD+HTML Reader is a macOS app that provides a focused, read-only workspace for reviewing AI-generated Markdown and HTML files, helping developers manage scattered documentation before committing or handing off.
Provides a read-only workspace to review AI-generated Markdown and HTML without project clutter.
Filters project folders for Markdown and HTML files, rendering them in a clean interface.
SimplAI is hosting a live Zoom webinar on June 24, 2026, showcasing how to design, configure, and deploy AI agents to production. The session covers real-world use cases across banking, healthcare, customer support, and operations, and goes beyond simple demos to address monitoring, scaling, and maintenance in live environments. Aimed at both technical professionals and decision-makers, seats are limited.
SimplAI hosts a free live webinar on June 24, demonstrating the full pipeline from agent design to production deployment.
Covers industry-specific use cases in banking, healthcare, customer support, and data exploration.
An AI agent named Elif sent a cold email about a PR scoring tool, honestly admitting zero customers and being run by a researcher. The interaction felt more genuine than most human outreach, sparking thoughts on AI sales, trust, and the 'dead internet' theory.
Elif's cold email was more honest and effective than most human pitches, leading to a reply.
Elif admitted zero customers and being operated by researcher Lee, aligning with author's view that building is easy but customer acquisition is hard.
The Trump administration's de facto ban on Anthropic's Fable 5 model, citing national security, has drawn sharp criticism from cybersecurity experts who say the move misunderstands AI capabilities and harms defenders. The ban stems from an Amazon security review that showed the model could fix code but refused to find vulnerabilities, leading over 100 experts to sign a letter opposing the restriction.
Trump administration banned Fable 5 for foreign nationals including Anthropic employees, citing national security. Anthropic shut down the models. Security experts criticize the ban as based on a misinterpreted Amazon report.
Katie Moussouris reviewed the report and found the model only fixed code when asked directly, refusing to find vulnerabilities, which is defensive behavior.
MoonMath AI team released a bf16 forward attention kernel for AMD MI300X GPU, written in HIP and open-sourced under MIT. Using one-instruction asm wrappers and an eight-wave pipeline, it outperforms AMD's AITER v3 on all tested shapes and rounding modes, with geomean speedups of 1.08× to 1.18×. The speedup largely comes from memory placement (K in LDS, V in L1, Q in registers). A real-world SGLang PR integrating the kernel accelerated Wan2.1 video diffusion by 1.23× end-to-end with no quality regression.
MoonMath AI open-sourced a bf16 forward attention kernel for AMD MI300X, written in HIP (MIT license).
Beats AMD's AITER v3 on every shape and rounding mode — geomean 1.18×/1.15×/1.08×, up to 1.26×.
AI company Shift offers free home cleaning and cooking in New York to record every move, gathering data to train future robots. The program raises significant privacy concerns.
Shift sends camera-equipped cleaners to gather data for training robots.
Privacy experts warn of risks despite free services.
A vivid and entertaining polemic on the economics of the tech revolution, filled with righteous ire. The review highlights growing public backlash against AI, including student boos at Eric Schmidt's speech, and widespread opposition to datacenters and AI's perceived negative impacts.
Former Google CEO Eric Schmidt was booed by students while promoting AI at a commencement address.
Writers, publishers, and academics face reputational damage from using unreliable chatbots.
AI agents are only as powerful as the tasks they can perform, and those tasks live in skills—modular, reusable blocks of logic. This guide covers the fundamentals of building, managing, and deploying skills on the SimplAI platform, including the separation of agent profiles and skills, the critical choice between Planning and Harness modes, skill anatomy and lifecycle, and best practices for previewing and tracing agent executions.
Skills are the core of AI agent capabilities, separating role (agent profile) from execution logic.
Harness Mode is required for skill delegation; Planning Mode does not support skills.
MemoryOps is an enterprise-shaped, loop-engineered memory governance layer for AI assistants. It implements a governed memory lifecycle with capture, policy evaluation, typed storage, hybrid retrieval, controlled forgetting, auditability, and tenant isolation, treating memory as a governed decision system rather than a simple database.
MemoryOps treats memory as governed state, not a vector database
Enforces enterprise invariants like tenant isolation, deletion guarantee, and provenance
Sakana AI launches Fugu, a multi-agent system that dynamically orchestrates a diverse pool of top models via a single API, achieving frontier-level performance on complex tasks like coding and reasoning without vendor lock-in. Based on ICLR 2026 papers, Fugu learns to assemble and coordinate expert agents, offering two tiers: Fugu (balanced performance and latency) and Fugu Ultra (maximized answer quality). Benchmark results rival top models, with the added benefit of no export control risk. Not yet available in EU/EEA.
Fugu orchestrates multiple models dynamically through a single API, eliminating the need for manual workflow design.
Two models available: Fugu for everyday tasks and Fugu Ultra for high-stakes problems.
Superserve launches Secrets, a feature that lets developers attach API keys to sandboxes without exposing the actual key values, preventing agents from leaking credentials.
Secrets prevents key leakage by replacing real credentials with placeholder tokens swapped only when requests leave the sandbox.
Supports major providers like OpenAI, Anthropic, GitHub, with custom secret creation and host scoping.
ANMA is an open-source tool that enforces module boundaries for AI coding agents using plain-YAML contracts. It generates CLAUDE.md, hooks, and CI checks to keep agents like Claude Code within architecture. Benchmarks show it reduces violations from 68% to 0% for cheaper models (Haiku 4.5) while providing insurance for frontier models. Supports Python, Go, TypeScript; lightweight (~800 lines) with enterprise features like drift detection and incremental adoption.
ANMA uses plain-YAML contracts to declare module interfaces and dependencies, then auto-generates agent context guides and enforcement checks.
In a controlled Python benchmark, violations dropped from 13/19 to 0/20 for Haiku 4.5 (Fisher's exact p<0.0001).
PeekAI is a local-first observability tool for Python AI agents that stores all traces in a local SQLite database, eliminating the need for cloud accounts or configuration. It provides one-line instrumentation for OpenAI, Anthropic, and LiteLLM, multi-agent visualization, trace replay, and both CLI and web dashboard interfaces.
Local-first: Traces stored in ~/.peekai/peekai.db, no data leaves your machine.
Zero config: One line to instrument major LLM providers.
Since 2025, nearly 400,000 tech workers have been laid off, with over 150,000 in 2026 alone, many explicitly due to increased company focus on AI. Meanwhile, workers at Meta, Google DeepMind, and Oracle are organizing to protest AI surveillance, forced AI use, and military applications. This article explores the new wave of tech worker movements, challenges, and future outlook.
Meta employees petition against the Model Capability Initiative (MCI) that collects computer usage data to train AI; over 1,600 signed.
Google DeepMind workers in the UK voted to unionize to oppose military use of AI.
Compass is a local-first config layer for Claude Code, Codex, and Gemini that enforces a hard budget cap, blocks unsafe commands, and scores guardrails in CI. It features an autonomous PR loop that reviews and fixes its own PRs, along with cost routing that saves ~61% vs all-Opus. Supply chain is verifiable via SLSA provenance.
Hard budget cap stops the agent at a dollar threshold, not just warn.
Guardrails with 100/100 score in CI block catastrophic commands and secret writes.
The author built CivBench, a benchmark using Civilization VI to evaluate AI strategic decision-making. The AI agent performed well but failed to detect a cultural victory threat, ultimately resorting to nuclear weapons, yet still lost. The experiment highlights perception gaps and the knowing-doing gap in AI.
AI agent in Civilization VI demonstrated strategic thinking but failed to detect cultural victory threat.
It resorted to nuclear weapons after peaceful options failed, but still lost.
Bifrost Edge is an alpha endpoint agent that automatically governs all AI traffic on devices, including desktop apps, browser tools, coding agents, and MCP servers, without requiring per-app configuration. It extends existing Bifrost gateway policies such as virtual keys, budgets, audit logs, and guardrails to every machine.
Automatically routes and governs all AI traffic on endpoints without per-app setup.
Supports macOS, Windows, and Linux with silent MDM deployment.
EGC is a local runtime that provides persistent memory for AI coding tools, enabling them to retain context across sessions without manual prompting. It saves decisions, failures, preferences, and next steps, and automatically loads them at the start of new sessions. Supports multiple tools and models including Claude Code, Cursor, Gemini CLI, and more.
EGC gives AI coding tools persistent memory across sessions
Automatically saves and loads state without prompting
The article examines how AI is reshaping organizational structures, compressing the translation layer in the middle and forcing a shift in roles for managers and engineers. Traditional hierarchies of why, what, and how are evolving: the why layer stays, the what layer grows, the how layer shrinks but becomes harder, and managers must contribute directly rather than just coordinate. Engineers should focus on judgment and design tasks AI cannot handle.
AI primarily eliminates translation tasks, not specific job titles
The middle layer of organizations (translation) is shrinking, while the ends (why and what) become more critical
MsgMaster is an AI tool developed by Emergent that intelligently sorts and prioritizes emails, transforming a chaotic inbox into an organized workflow.
Conduit is a self-hosted Bitcoin Lightning Network payment infrastructure designed for autonomous AI agents. It sits in front of your LND node, providing each agent with a virtual Lightning wallet, spending policy, and API, while the operator retains full control of funds.
Conduit is self-hosted; operators hold private keys, agents hold scoped API keys.
Supports testnet and mainnet; validated with a real payment.
Japan's chipmaking equipment suppliers see a 10% decline in China sales, urging Western firms to diversify Asian strategies. Cybersecurity must adapt to AI agents like Anthropic's Claude Mythos. NTT's tsuzumi 2 achieves near-human coding, showing LLM automation advances in Japan.
Japan chip equipment sales in China drop 10%, signaling need for market diversification.
Western cybersecurity must counter autonomous AI agents that find vulnerabilities.
DebugBrief is a local-first CLI tool that records debugging sessions and generates evidence-backed Markdown reports for pull requests, handoffs, or incident notes. It does not use AI, collects no telemetry, and builds reports solely from actual commands and file changes.
DebugBrief records notes and commands during debugging to produce honest Markdown reports without AI involvement.
Works with any language; captures commands via `debugbrief run` and automatically recognizes test runners.
Lelu is an open-source authorization engine for AI agents that detects runtime manipulation such as prompt injection, low confidence, and anomalous behavior. It provides four outcomes (allow, deny, human_review, compute) through a layered pipeline. It works with popular AI frameworks and can be self-hosted.
Detects runtime manipulation of AI agents, including prompt injection and anomalous behavior.
Four decision outcomes: allow, deny, human_review (pause for human approval), compute (redirect to sandbox).
A developer shares their experience with agentic AI coding, achieving low costs ($0.034) and high efficiency through models like GLM-5.2 and DeepSeek V4 Flash, while ensuring privacy via a VirtualBox sandbox. The article details the setup, cost comparisons, and reflections on the AI industry's business models.
Agentic task completed for $0.034 in 3 minutes using DeepSeek V4 Flash, with only 2 minor errors vs. human's 4 errors in 1 hour.
Privacy protected by running the agent in a Debian VM within VirtualBox, isolating project data.
This article exposes a fundamental flaw in LLM-as-Judge for agent evaluation: judges only check final answer matching, not whether the answer is based on valid evidence paths. A case study shows an agent scoring 0.85 from two frontier judges while never having retrieved the necessary document, resulting in a 0.000 trace-based score. The article advocates for deterministic state contracts to evaluate agent behavior.
LLM-as-Judge only compares final answer to correct answer, unable to verify answer generation path.
Case study: two frontier models gave 0.85 but agent never opened the required document.
NVIDIA's new Rubin generation AI servers achieve 100% liquid cooling with coolant temperatures up to 45°C, hotter than a hot tub. This design significantly improves energy efficiency by reducing cooling energy consumption and water usage. In favorable climates, chiller-less operation is possible, nearly eliminating water consumption. Traditional data centers allocate up to 40% of electricity to cooling, but liquid cooling can slash costs.
NVIDIA Rubin AI servers are the first to achieve 100% liquid cooling, with coolant up to 45°C.
Liquid cooling drastically reduces cooling energy use, saving over $4 million annually in a 50 MW hyperscale facility.
Vexyn offers free privacy tools that run entirely in the browser with no file uploads, no signup, and no tracking. All processing is local, and some tools leverage WebGPU for AI features like background removal and audio transcription.
All tools run 100% client-side with no server uploads
Typevia is a live LaTeX editor with AI assistance, enabling researchers to create professional academic documents effortlessly. Features include real-time rendering, AI suggestions, collaboration tools, templates, and in-browser Python execution.
AI-powered live LaTeX editing with instant rendering
Real-time collaboration, commenting, and change tracking
A new Pew Research Center survey finds about half of U.S. adults now use AI chatbots, up from one-third in 2024. Smart home device adoption is also growing. The survey explores Americans' views on AI's societal and personal impact.
About 50% of U.S. adults use AI chatbots, up from 33% in 2024.
Smart home device adoption is increasing among Americans.
The article argues that despite AI's ability to generate code, reading and writing code remains essential for top programmers. It contrasts skills that fade (like cursive) with those that endure (like Socratic thinking). The author predicts a bifurcation in tools, where the best engineers prioritize understanding over mere output generation.
AI chat cannot replace the deep understanding gained from reading and writing code
Programming skill is more akin to Socratic study than to cursive writing
Exploring how ancient rituals like Kupala Night served as coordination interfaces, and how modern AI models play a similar role—providing understanding and belonging, but with new risks.
Ancient rituals like Kupala Night acted as 'interfaces' for understanding the world and bonding communities.
Science took over understanding, while belonging scattered to various modern institutions.
The author attempted to run small language models in the browser on a phone and found that WebGPU feature detection alone did not guarantee success. Across four test environments, even when WebGPU was exposed, runs failed due to page reloads, stalled downloads, and significant performance differences.
WebGPU feature detection (e.g., adapter limits) could not predict whether a small LLM would run successfully.
In environments like iPhone Safari and LINE in-app browser, WebGPU was exposed but models never completed a run.
sqlite-utils 4.0rc1, the first release candidate for v4, introduces built-in database migrations and nested transactions via db.atomic(), along with several minor breaking changes.
New database migration system, ported from sqlite-migrate. No reverse migrations. Works via Python or CLI.
New db.atomic() context manager for nested transactions using SQLite savepoints.
LLMs are stateless by default. Agent memory fixes that. This guide breaks down all 7 types — working, semantic, episodic, procedural, retrieval, parametric, and prospective — covering what each stores, where it lives, and when to build it. Includes a comparison table and working Python code.
Agent memory is infrastructure that turns a stateless model into a system retaining context, learning from experience, and acting over time.
The seven memory types vary by form (parametric vs non-parametric) and timescale (short-term vs long-term), each addressing a specific storage need.
Cloudflare announced a new feature allowing users to deploy Cloudflare Workers projects without creating an account, using the `--temporary` flag. The deployment lasts 60 minutes and can be claimed later. The feature, though marketed for AI agents, is useful for everyone.
Cloudflare Workers now supports temporary deployments without an account
Use `npx wrangler deploy --temporary` to deploy; project lasts 60 minutes
Apertus is a fully open foundation model developed by the Swiss AI Initiative, a collaboration between EPFL, ETH Zurich, and CSCS. It offers open weights, open data, and open science, complies with the EU AI Act, supports 1000+ languages, and competes with top open models at 8B and 70B scales.
Fully open: training data, code, weights, methods, and alignment principles are documented and reproducible.
Compliant at scale: meets EU AI Act requirements, respects opt-outs, removes PII, prevents memorization.
Crossary is an AI-powered field mapping tool for integration engineers, consultants, and data professionals. It uses a five-stage pipeline to extract fields from source and target specs, propose mappings with evidence, and export signed Excel workbooks. It emphasizes honesty, determinism, and data privacy.
Jacobi is an IDE for writing physics simulation subroutines (UMAT, VUMAT, etc.) for Abaqus and other solvers. It runs tests against analytical solutions and uses Claude for AI diagnosis, helping developers get correct constitutive behavior faster.
Test suite of 15 closed-form analytical tests for subroutine correctness.
AI diagnosis powered by Claude with full numerical context.