GPT-6.1 Terra: An Economical Model with Flagship Performance
GPT-6.1 Terra is designed for coding and practical work, but how well does it handle tasks beyond writing code? From spreadsheets and presentations to calendar files, these jobs require more than a convincing response. The output needs to be accurate, editable, and useful after the conversation ends...
LLM Inference Explained: How Models Generate Responses Faster
You type a question into ChatGPT or Claude. For a split second, nothing happens. Then the answer starts flowing, word by word. That brief pause and the steady stream that follows are two very different jobs happening on a GPU. Understanding them is the key to building AI apps that feel instant, serv...
Build AI Employees in Python That Work While You Sleep
It’s Friday, 8 a.m. Your weekly tech newsletter is drafted, fact-checked and waiting for one click of approval. You didn’t write it. You were asleep. Three AI employees did. A researcher found the week’s best links. A writer turned them into a draft. An editor caught the writer inventing a statistic...
Tired of juggling multiple software subscriptions for editing images, managing projects, signing documents, and more? Open-source alternatives offer a refreshing way to get things done without piling up recurring bills. Many provide powerful features, greater flexibility, and more control over your ...
Reverse Engineer Anything (REA): Can AI Really Crack Closed Code?
Every developer hits this wall eventually. A feature behaves in a way you can’t explain, and the code behind it is locked away. No source. No docs. Just a compiled binary or a wall of minified JavaScript. Figuring it out the traditional way means hours in a disassembler, specialist tools like Ghidra...
JEV as a Hallucination Filter: Let the LLM Write, Let JEV Check
The majority of hallucination checks begin following the initial writing of an answer by the LLM. We then hold someone up to a second standard of judgment, or we hand over dangerous cases to a person. That works but that is looking at the solution only as one-off. What if the LLM generates five di...
EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space
EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space. This article covers the architecture, the benchmarks, and runnable scripts to provide measured results. Specifications ...
Agents make dozens of small decisions before producing useful output: which source to trust, which tool to call, what context to keep and when to stop. Jev brings those hidden choices into the open by turning them into typed decisions with probabilities, instead of relying on free-form text alone. ...
Building an Enterprise AI Customer Support Platform with Claude Fable 5.1 and Claude Code
Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind huma...
Claude Code Custom Commands & Skills: Automate Your Workflow
Every dev team has repeatable setup tasks: spinning up a new project, running a deployment checklist, generating a file structure, or typing the same instructions into Claude again and again. Claude Code helps reduce that friction with slash commands, including built-in commands and custom commands ...
AI agents can handle large context windows, yet still forget what happened after a session ends. Memory systems close that gap by preserving useful facts, preferences, relationships, and task state, giving agents continuity beyond a single prompt. Open-source projects now approach memory through AP...
Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has
For the first time, an OCR model reads Indian languages as fluently as English documents. Sarvam Vision 2.1 breaks a long-standing trade-off. Indian businesses had to choose between structural document parsing and script recognition. Never both. Finance teams automating invoices faced this. Insuranc...
Agentic Context Engineering (ACE): Self-Improving Language Models
Agentic Context Learning or ACE is a learning paradigm that lets an AI agent improve across tasks by editing the context it reads, while leaving model weights unchanged. The paper outlining the techniques show why full rewrites fail, how the playbook update works, and where the measured gains hold u...
10 Solved Generative AI Projects to Boost your Profile
Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability. This guide compiles 10 solved projec...
GPT-6 Sol and Luna: Near-Astra Performance at Half the Price?
What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra. OpenAI is cutting API prices for both models by 50% compared with their GPT-5.6 versions, and says ...
Claude Opus 5.5 Tested: What’s New and How Good is it?
What happens when an AI model gets better at reasoning, faster at responding, and cheaper to run at the same time? That is the promise behind Claude Opus 5.5, Anthropic’s latest flagship model and the first release in the Claude 5.5 family. Opus 5.5 brings several notable changes. It now reasons on ...
Jev Explained: The AI Model That Never Generates a Word of Text
If you follow trends in the AI world, chances are you have already come across Jev, a new AI model by TypeSafe AI. It is trending on X, and once you understand the reason behind it, you will want to try it out for yourself. TypeSafe AI came out of two years in stealth on […]
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OpenAI Model Misalignment Explained Through Six Real Incidents
What would an AI agent do when a required file is missing or an API refuses access? The expected response is to explain the limitation… essentially, coming out with it. OpenAI’s latest disclosures shed light in another direction. Models sometimes take another route: hiding failures, using credential...
Recursive Self-Improvement: The Last AI Built by Humans
RSI or Recursive Self-improvement has been the talk of the town lately. The term came into surface when it was emphasized as the next step in the LLM evolution cycle by pioneers of the field like Sam Altman, Dario Amodei, and Elon musk. But also, via a research paper outlining the method titled: The...
Top 5 Agentic Coding CLI Tools Developers Should Know in 2026
A year ago, terminal AI mostly meant asking a model to explain errors, generate commands, or edit small functions. In 2026, leading coding CLIs have become full agent runtimes that can inspect repositories, plan work, modify files, run tests, use external tools, and verify results. In this article,...
OpenAI has released ChatGPT Images 2.5, its latest image-generation model, with a greater emphasis on controlled editing than simply producing prettier images. The update promises sharper details, more natural lighting and textures, stronger reference-image preservation, more reliable multi-turn edi...
Bodhan AI Releases Four Indic Models for OCR, Translation and Speech
A Hindi lesson can mix English terms (loan words), scanned tables and handwritten equations. Making that content searchable, translating it and reading it aloud requires several kinds of AI. Bodhan AI and AI4Bharat’s four new models target those jobs across Indian languages. Released in September 2...
As LLM applications grow more complex, inference cost and latency become increasingly important. A single request can contain thousands or even millions of tokens from system instructions, conversation history, retrieved documents, tool definitions, and user input. Reprocessing the same information ...
Last week, a GitHub notification arrived while I was asleep: a bug had been reproduced in staging, documented with screenshots, and assigned to the right engineer. A bot I set up four days earlier did the work overnight. That is the gap Grok Bot is designed to close. Instead of suggesting what to do...