February 2026

GABBE: The Cognitive Engineering Platform That Transforms AI Coding Agents Into Engineering Teams

GABBE: The Cognitive Engineering Platform That Transforms AI Coding Agents Into Engineering Teams

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Author(s): Andrei Besleaga (Nicolae) Originally published on Towards AI. A deep dive into the open-source kit that gives AI assistant agents a mind, a memory, and a “conscience”. “The agent is the engine. You are the steering wheel.” The Problem Nobody Talks About AI coding agents — Claude, Copilot, Cursor, Gemini, Codex — promised a revolution. They delivered on speed. But teams started drowning in code they couldn’t review, verify, or trust. Tests were skipped. Architecture decisions were […]

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The Anthropic Shockwave: Why Claude Code Security Just Nuked Cybersecurity Stocks

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Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When an AI model does in minutes what human researchers couldn’t do in decades, the market doesn’t just notice: it panics. Here is the nuclear option nobody in Silicon Valley wanted to talk about. For years, the cybersecurity industry has been a high stakes gambling ring built on a house of cards. You pay millions for “endpoint protection” and “zero trust” wrappers that essentially act as expensive digital […]

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When GraphDB Ontologies Break: Exploring Embeddings

When GraphDB Ontologies Break: Exploring Embeddings

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Keywords: GraphDB, VectorDB, Ontology, Embedding Vectors. tl;dr Your GraphDB ontology works perfectly in dev, but then production users write “jogging” and it can’t match “running!” Can embeddings fix this? Let’s explore. You’re building a recommender system that matches events and people based on interests. You built out a graphDB to help with matching, and you’re excited that it passes all the tests and it looks done and ready to launch. You try it out on a couple of people and […]

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Architecting Resilience: Why Most Agentic Workflows Are Fragile Demos

Architecting Resilience: Why Most Agentic Workflows Are Fragile Demos

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Stop building fragile demos. Build resilient, production-grade AI systems. Building an AI agent in a Jupyter notebook is seductive. You chain a few prompts, define a custom tool, hit run, and get back clean JSON. For a moment, it feels like you’ve automated the complex reasoning of a Business Analyst. But production environments are not notebooks. In the real world, data is incomplete, APIs timeout, schemas evolve without warning, and models behave non-deterministically across runs. In retail analytics, for example, […]

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Incremental Learning of Sparse Attention Patterns in Transformers

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This paper introduces a high-order Markov chain task to investigate how transformers learn to integrate information from multiple past positions with varying statistical significance. We demonstrate that transformers learn this task incrementally: each stage is defined by the acquisition of specific information through sparse attention patterns. Notably, we identify a shift in learning dynamics from competitive, where heads converge on the most statistically dominant pattern, to cooperative, where heads specialize in distinct patterns. We model these dynamics using […]

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Celo2: Towards Learned Optimization Free Lunch

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Learned optimizers are powerful alternatives to hand-designed update rules like Adam, yet they have seen limited practical adoption since they often fail to meta-generalize beyond their training distribution and incur high meta-training cost. For instance, prior work, VeLO, scaled meta-training to 4,000 TPU months ($sim$10$times$ GPT-3 compute) to meta-train a general-purpose optimizer but it failed to generalize beyond 600M parameters tasks. In this work, we present a surprising finding: by crafting a simple normalized optimizer architecture and augmenting […]

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Beyond Copilot: The 2026 Shift to Agentic Harness Engineering

Beyond Copilot: The 2026 Shift to Agentic Harness Engineering

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How OpenAI’s Codex and “Harness Engineering” are Transforming Software Development from Manual Coding to Intent Architecture. The year is 2026, and the “senior engineer” who spends hours a day manually debugging syntax is officially a relic. In 2024, we were enamored with AI as a “Co-pilot.” Today, the conversation has moved to Autonomous Engineering. Following the landmark revelation of OpenAI’s Codex project — where a multi-million line product was built with zero human-written code — we have entered the era of Harness […]

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Test-Time Learning of Causal Structure from Interventional Data

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Supervised causal learning has shown promise in causal discovery, yet it often struggles with generalization across diverse interventional settings, particularly when intervention targets are unknown. To address this, we propose TICL (Test-time Interventional Causal Learning), a novel method that synergizes Test-Time Training with Joint Causal Inference. Specifically, we design a self-augmentation strategy to generate instance-specific training data at test time, effectively avoiding distribution shifts. Furthermore, by integrating joint causal inference, we developed a PC-inspired two-phase supervised learning scheme, […]

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Study shows how rocket launches pollute the atmosphere

Study shows how rocket launches pollute the atmosphere

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New research published Thursday bolsters growing concerns that a handful of companies and countries are using the global atmospheric commons as a dumping ground for potentially toxic and climate-altering industrial waste byproducts from loosely regulated commercial space flights. The new study analyzed a plume of pollution trailing part of a Falcon rocket that crashed through the upper atmosphere on Feb. 19, 2025, after SpaceX lost control of its reentry. The rocket was launched earlier that month, carrying 20 […]

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Intelligence should be owned, not rented

Intelligence should be owned, not rented

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Read Online | Sign Up | Advertise Good morning, {{ first_name | AI enthusiasts }}. AI is often described as a “digital teammate,” but the reality is more complex. Embedding AI systems into core workflows reshapes how teams operate — and raises some tough questions: What actually gets faster? What becomes riskier? And where must humans stay in control? To unpack how this shift is playing out in practice, we sat down with DJ Sampath, SVP of AI […]

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