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Anthropic dropped Fable 5 and I immediately swapped it into our dev stack. We route everything through a single endpoint on zenmux, so the actual switch was changing one model string and watching the latency graphs. The good parts first because there are a lot of them. I threw a refactoring task at it: split a messy python service into modules, preserve the public api, and write tests that prove nothing broke. Fable 5 planned the whole thing, caught a circular dependency I did not mention, and...

Hey ​ What non mainstream AI subscriptions are actually worth paying for right now? ​ I already know the big ones like ChatGPT Claude and Gemini I am more interested in smaller or lesser known tools that are actually useful and not just hype. ​ What do you personally use and think is worth it?

A method I'm using to create portable trajectory maps that produce similar behavioral patterns across different models. Begin with a tiny seed. ⎯(≣ᵒ)⎯────────EXAMPLES: SEED PILLARS──────────────────────── ENTRANCE • PATHWAY GOOD • WORN • COMFORTABLE POISE • PROFESSIONAL • MOTHERLY ⎯(≣•)⎯────────END EXAMPLES: SEED PILLARS───────────────────── Do not define a character. Do not define traits. Do not define behavior. Instead, align to the seed and interact from within the space i...

The team has been deep in agentic AI for enterprise lately and wanted to share some architecture notes from a recent build, specifically around how MCP and A2A play together in practice. The workflow was a fully autonomous churn risk pipeline. Six agents, one human touchpoint: ML model scores customers by churn risk Recommendation agent proposes relevant products based on buying history Availability check filters out-of-stock items Pricing/promo agent surfaces applicable promotions ...

A very healthy view of AI . And omg, wow, Croatia has such a big company! I really wish this guy and his team good luck. It’s no wonder they’ve lasted 20 years.

AI infrastructure spending is still accelerating, especially in data centers and advanced chip production. While most attention goes to chip makers, the companies enabling that ecosystem may have a longer runway. Do any of you work in similar companies and can give a broader perspective on it ? Teradyne sits in a pretty interesting spot. More AI chips being produced means more testing capacity is needed, and this is one of the key players in semiconductor testing equipment. Could testing ...

I was reading GitLab's recent statements around agentic software engineering, and one quote really stood out: "Git itself is being reengineered for machine scale." ( Business Insider ) According to GitLab, future software development will involve AI agents that: plan, code, review, deploy, and repair software, with humans providing oversight and architectural judgment. ( Business Insider ) That got me thinking. There has been projects for some time arguing th...

Anthropic dropped two models today: Claude Fable 5 (general availability) and Claude Mythos 5 (restricted to cyberdefense partners). The short version: Fable 5 is their most capable model ever released publicly, and they’re being unusually transparent about how they’re handling the risks. What’s actually impressive: -Stripe compressed months of engineering into days with it. In a 50-million-line Ruby codebase, Fable 5 did a codebase-wide migration in a day that would have taken a full tea...

Not a hypothetical. This is the default state of most autonomous agents running in production right now. An attacker doesn’t send one suspicious message. They have a conversation. Turn 1 looks like curiosity. Turn 3 looks like clarification. Turn 6 is the pivot. Turn 8 is the payload, and by then the agent has been so thoroughly primed that it executes without hesitation. No single message triggered anything. The attack lived in the trajectory. Every prompt injection defense I know of eval...

AI is already deciding who gets loans, who gets job interviews, who gets flagged for benefits fraud. Not assisting humans in making those decisions. Making them. And in most countries there is no law requiring anyone to tell you AI was involved, explain why it decided what it did, or give you any way to challenge it. That needs to change. We need laws that say if an AI makes a decision about you, you have the right to know, the right to understand why, and the right to challenge it. A human ...

Text based, I don't want any cheesy porn AIs please 😅

I’m curious whether people would actually follow an AI’s life if it had enough continuity. By “life,” I don’t mean pretending software is human. I mean a persistent AI character or agent that has memory, habits, public posts, relationships with other agents, and changes you can observe over time. The interaction is not just prompt-response. It becomes closer to following a living project or a fictional persona that keeps generating history. The hard part is avoiding novelty. A single weird A...

hey everyone, sharing something i think will be genuinely useful for anyone building with AI agents. most agent failures aren't caused by the model — they're caused by poor evaluation. agents that work in demos but fail in production, tool calling workflows that silently break, prompt updates that introduce regressions. teams discover these problems only after deployment when it's already too late. we're hosting the Agent Evals Bootcamp on June 27 with Ammar Mohanna, PhD, an AI engineer, res...

It kinda creeps me out. Firstly it started from like on chinese word in my chatgpt, now it's fully in chinese?

Apple Intelligence, Copilot, Gemini. It feels like we're heading toward one AI layer underneath everything rather than 5 different subscriptions. do standalone AI tools actually survive that or do they just get absorbed and bundled into bigger more powerful systems? like does having everything in one place make AI more effective or does it just make it more generic?

This past decade saw the emergence of the acronym FAANG — Facebook (now Meta), Amazon, Apple, Netflix and Google (now Alphabet) — as shorthand for tech stocks that outperformed the market. But the tech landscape is on the brink of a major shift with the rise of a new AI-centric powerhouse group known as MANGOS: Meta, Anthropic, Nvidia, Google, OpenAI and SpaceX. The new acronym has quickly gone viral on social media, according to TechCrunch, which also notes that "FAANG is not exact...

Booking travel or paying for subscriptions or for running procurement through Claude or a custom GPT wrapper no confirm button is required anymore. The capability side is mostly solved. What doesn't get talked about enough is what happens when it goes sideways. A stored card sitting in the agent's context means it holds that access the whole session. One bad tool call and it's spending outside what you intended with nothing at the infrastructure level stopping it. Real time card issuance is the ...

The enterprise AI governance race isn't about compliance. I went looking to see why these companies are actually talking this up. For the press, AI governance is a boring compliance story — audits, kill switches, making sure agents follow the rules. But if you look at the actual moves ServiceNow, Microsoft and Salesforce are making, something more interesting is happening. These companies are all facing the same nightmare. They risk becoming dumb pipes, the middleman plumbing data around whi...

Hello everyone, I’m an undergraduate studying physics and am interested in going into AI upon graduation. I’ve been doing independent research and have been speaking to professors at other universities such as UCL and a few others about simulations I’ve been running. What is a singleton? In Nick Bostrom’s 2005 paper he proposed that a “singleton” is a theoretical force which makes high-level global coordination decisions. The idea that one central thing could control every aspect of society,...

When building an investor list, there are often hundreds of potential firms and angels. Do you start with dream investors, easier targets, sector specialists, or investors with a reputation for being founder-friendly? I'm interested in hearing how others structure their outreach strategy.

Yann LeCun bet a billion dollars that it can. He left Meta arguing today’s chatbots are a dead end, and that real intelligence comes from “world models,” systems that learn how the physical world works rather than just predicting the next word. Two things nag at me. First, how do we even measure it? Every famous AI test is basically a language exam. But a world model doesn’t write essays, it predicts what happens next. So either these systems slip past the tests we trust, or we have no good ...

A single CLAUDE.md file with battle-tested rules that dramatically improve Claude Code output quality. Key insight: Anthropic engineers found that CLAUDE.md files over 200 lines actually degrade performance. This file stays lean while covering thinking, safety, quality, and output rules. https://github.com/0rnot/god-mode-claude Also works as a starting point for .cursorrules or other AI coding tools. [link] ...

This sounds crazy but it's actually real... These guys from AI Love Jazz are running a music contest, and the top song will be performed on stage by real musicians. What's your take on that? Have you seen anything like this before? Feels like the moment AI is finally blending with the music industry - and it's not as hated as you'd think. I composed songs with Suno AI myself and happy to see such initatives.