Month: December 2025

Large language models (LLMs) continue to run on the tightrope between efficiency and trust. Users consider it effective, but doubt its accuracy. It can also be an overkill for some use cases. For example, using LLMs may not be the best choice for all internal HR tasks, given their high computational costs. In all these … Read more

Most Twitter bots are boring. They run on cron jobs, use standard Python pseudo-randomness (import random), and post the same regurgitated ChatGPT slop until they get banned. I wanted to build something different. I wanted a bot that was non-deterministic in a physical sense—a digital entity whose personality shifts based on the actual sub-atomic fluctuations … Read more

Turns out, it’s not a format choice but the foundation of correctness: idempotency, replay, PK changes, lakehouse merges, and distributed consistency all depend on it.

Many traders have noticed that earning in this cycle is harder than it was in 2021 and earlier. Parabolic rallies have been replaced by short impulses followed by long periods of consolidation. Investors are now chasing APRs and steady yields rather than dreaming of 100x gains, while an oversupply of tokens, projects, and airdrops dilutes … Read more

The shift happened faster than anyone predicted. One day, AI was autocompleting our sentences. The next, it was joining our meetings, summarizing our conversations, and drafting follow-up messages on our behalf. Now it is making decisions. I have spent years researching how teams collaborate through intelligent platforms, and what I am witnessing today represents the … Read more

The symfony/workflow component has long been one of the framework’s most powerful, yet underutilized, gems. It allows developers to decouple business process logic from entity state, transforming complex “spaghetti code” status checks into clean, visualizable directed graphs. For years, however, the component had a strict limitation rooted in its implementation of Petri nets: Tokens were boolean. An object … Read more

Table of Links Abstract and 1 Introduction Related Works 2.1. Vision-and-Language Navigation 2.2. Semantic Scene Understanding and Instance Segmentation 2.3. 3D Scene Reconstruction Methodology 3.1. Data Collection 3.2. Open-set Semantic Information from Images 3.3. Creating the Open-set 3D Representation 3.4. Language-Guided Navigation Experiments 4.1. Quantitative Evaluation 4.2. Qualitative Results Conclusion and Future Work, Disclosure statement, … Read more

Most early-stage startups obsess over growth tactics. CAC, funnels, virality, AI, paid acquisition, SEO. All important. But after two decades scaling consumer and SaaS businesses, I’ve learned this the hard way: Growth doesn’t scale without trust. You can hack attention. You can buy traffic. You can even brute-force early traction. But trust is the invisible … Read more

The privilege of success comes with a responsibility. If you’re reading this as someone who listened to the voice of wisdom, whether it was a parent, a mentor, or your own inner drive, and pursued formal education, then you already understand something critical i.e. you have options. Real sovereignty. Real freedom. And now, the real … Read more

Teams waste valuable review time debating syntax instead of evaluating architecture, intent, and risk. Automate formatting checks, raise the abstraction level, and reserve human attention for design, security, and domain alignment.

The Anemoia Device is a scent-memory machine that uses generative AI to transform analogue photographs into custom fragrances

AI-generated JSON often looks valid but fails semantically, structurally, or logically in production. After 50,000+ generations, the author outlines a multilayer validation stack—required fields, type-specific checks, semantic rules, forbidden-content filters, and error-aware retries—that raises reliability from ~85% to 95%+ and prevents user-facing failures.