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Showing posts with the label TWIL

This Week I Learned - Week 30 2026

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This Week I Learned -  * The OpenRouter Pareto Router is a dynamic model selection tool that allows users to select a coding model based on a minimum coding score preference. It maintains a curated shortlist of strong coding models ranked by Artificial Analysis coding percentiles. Users can set a min_coding_score between 0 and 1 to control the strength of the coder they need. The router automatically selects the cheapest model within the chosen tier or the fastest with the Nitro variant. This approach ensures that users receive a strong coder without overspending, as the exact shortlist evolves over time with new models and benchmarks. The OpenRouter API is compatible with most SDKs, allowing for easy integration into applications. * openrouter/auto-beta is a task-aware router. It classifies each request, routes it to the model teams are actually spending on for that kind of task, and filters that choice by the cost-quality tradeoff you set. The response is priced at the routed mo...

This Week I Learned - Week 29 2026

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This Week I Learned -  * Microsoft's Phi-4 Mini is widely regarded as one of the most capable models under 4 billion parameters. It punches significantly above its weight class, outperforming older 7B and even 70B models in specific reasoning tasks. It runs at a smooth 13–18 tokens per second on flagship devices with 8 GB+ RAM (like the iPhone 16 Pro/17 Pro or Galaxy S25/S26 series). * From The Batch : - PrismML, a Caltech spinout backed by Khosla Ventures, publicly released compressed versions of Alibaba’s Qwen model on Tuesday, shrinking it from 54 GB to under 4 GB so all 27 billion parameters run on an iPhone (15 or newer). PrismML achieves the compression by reducing the models to ternary or binary quantization, reducing each value from 16 bits to just two or three possible values.   - Two people asking the same model for business feedback, one in Hindi and one in Russian, may receive substantively different advice not because they’re using different models, but because th...

This Week I Learned - Week 28 2026

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This Week I Learned -  *  arXiv offers HTML papers alongside the existing PDF to improve accessibility . * " Students need to learn how to work with AI, recognize weak output, think through choices, test results and decide what is worth doing. I described my own approach as “delegate maximally”. Instead of keeping a fixed list of AI-proof skills, keep giving AI everything it might be able to do. Whatever remains is the human role for now. " - S Anand * " The reason I dislike this emphasis on term “LLM Visualization” or “Claude Viz” or even “Agentic Viz” is the focus on the tool. No one goes out and says “Excel Viz” // “PowerPoint Viz” // “Figma Viz”. The tool is there to augment the human and has never been the important part.  The craft and skill of the  human using the tool is what we should acknowledge and celebrate. " - Amit Kapoor * Draw with Data by Schubert De Abreu   * Bharat Atlas is a lightweight open-source visualiser for India administrative boundar...

This Week I Learned - Week 27 2026

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This Week I Learned -  *  Intensive Vibe Coding Course With Google - self-paced Kaggle Learn guide * Forward Deployed Engineers (FDEs) bridge internal development and real-world deployment by embedding with enterprise clients to build solutions while guiding the product roadmap.  FDEs are the "Technical Special Ops" who bridge the gap (The Delta) between a core product and a client’s messy, real-world reality. * Google DeepMind CEO Demis Hassabis and researcher John Jumper won the Nobel Prize in chemistry for their work on the company’s AlphaFold model, and DeepMind has also made major contributions to meteorology, materials science, and a variety of other disciplines. John Jumper is leaving DeepMind for Anthropic.  * Like Claude Code, Claude Science can autonomously carry out meaningful work when given concise, high-level instructions, and it has access to tools that make it particularly useful for research in computational biology and drug development. C...

This Week I Learned - Week 26 2026

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This Week I Learned -  * "Hallucination is a feature when you’re being creative." - S Anand * "AI doesn't have to be right to be useful. The goal is outputs you can iterate over time — not perfection on the first try." -  Agentic Thinking 101, Udacity * "...language models hallucinate because the training and evaluation procedures reward guessing over acknowledging uncertainty" -  Why Language Models Hallucinate * "Large language models (LLMs) do not work like databases, storing facts in neat rows and columns, and retrieving the right answer when asked. They are trained on enormous collections of text and learn statistical patterns in language. When prompted, they generate a response by predicting what will come next, one piece at a time. An LLM generates text one word at a time, each word a probability drawn from patterns it absorbed during training. A setting called the temperature governs how adventurous those draws are. If the temperature is l...

This Week I Learned - Week 25 2026

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This Week I Learned -  * Vertex AI has been rebranded and evolved. Google officially replaced and expanded it under the name Gemini Enterprise Agent Platform.  This change marks a major structural shift for Google Cloud, moving away from a traditional MLOps platform (focused on training and deploying standalone models) toward an "Agentic AI" ecosystem.   * Turkey based HubX Studios used Gemma 4 to build BetterSpeak, an AI English tutoring platform that uses the Gemma 4 E2B model as the reasoning engine for its on-device pipeline — enabling private, low-latency tutoring without the need for an internet connection. HubX deployed the 4-bit quantized version of the model to handle tasks like grammar explanations and progress monitoring across languages. By using Gemma 4’s native audio input capabilities, HubX’s app is able to support direct speech-to-speech learning , while reducing costs and ensuring privacy. * Midjourney, the AI lab best known for image generation...

This Week I Learned - Week 24 2026

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This Week I Learned -  * navigator.sendBeacon() method is used to quietly send analytics or telemetry data, often when a page is closing.  * P4RS3LT0NGV3 is a Universal Text Translator. Think of it as a universal translator for ALL alphabets and writing systems! It is a powerful web-based text transformation and steganography tool with 159 built-in text transforms spanning encodings, classical and modern ciphers, Unicode styles, formatting, and niche alphabets.  * When you see that Claude is "organizing its thoughts" during long conversations—it indicates automatic context management is working. * Fable 5 is now the most capable model of Claude and takes 2X the usage of Opus. Fable 5 is the same base model as Mythos but with cybersecurity guardrails. In the same week of its release, Anthropic has disabled Fable 5 and Mythos 5 for all users after a US directive restricting foreign national access, citing national security concerns. * Meta chief product officer Chris Cox o...

This Week I Learned - Week 23 2026

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This Week I Learned -  * Anthropic and OpenAI have launched their own services companies, challenging traditional IT firms and service providers. Anthropic's joint venture with Blackstone, Goldman Sachs, and Hellman & Friedman is valued at $1.5 billion, while OpenAI's venture, The Development Company, is valued at $4 billion.  * "Google which is cash surplus, just announced an additional capital raise of $80 bn. Google annual profit is $160 bn, last quarter $62 bn, and market cap $4.5 trillion. That is close to total profits and market cap of all Indian listed companies put together.  It’s a wake up call to all companies  to invest into the future, whatever the present maybe." - Uday Kotak * "One reason that the atrophy of coding skills is concerning is the “paradox of supervision” ... effectively using Claude requires supervision, and supervising Claude requires the very coding skills that may atrophy from AI overuse." - Anthropic * “People who go all i...

This Week I Learned - Week 22 2026

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This Week I Learned -  * Sci-Hub boasts the largest collection of full-text scientific papers, with over 88 million documents available for free. It began in 2011 as a simple PHP script created by founder Alexandra Elbakyan, using basic and affordable infrastructure. * JAX is the open-source library behind Google's Gemini. * Deepseek V4 is roughly 7-9x cheaper than frontier models. * When you call an LLM API, you are not just "running a model." You are orchestrating a 14-layer pipeline across networking, security, distributed systems, custom silicon, and billing. * Bing announced (through the Create tab) that after serving creators well, DALL·E 3 will be retiring in the coming weeks. * From The Batch : - Agentic capabilities emerged as large language models gained the abilities to plan across multiple steps, reflect on earlier outputs, and use external tools to perform actions online. Coding agents such as Anthropic’s Claude Code and OpenAI’s Codex gained traction among ...

This Week I Learned - Week 21 2026

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This Week I Learned -  *  web.py was originally published while Aaron Swartz worked at reddit.com, where the site used it as it grew to become one of the top 1000 sites according to Alexa and served millions of daily page views. Reddit was rewritten using other tools after being acquired by Condé Nast in 2006. * Markdown is used widely by websites including Reddit, GitHub and Discord using it, as well as LLMs such as Claude using it to format the files that store accumulated memories. * Grok Build is xAI's coding agent for the terminal, serving as a direct competitor to Claude Code and the OpenAI Codex CLI. * Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months.  * Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% t...