Elena' s AI Blog

Artificial intelligence (AI) refers to systems that learn, reason, and act with increasing autonomy. On this site, the AI tag covers practical developments in models, tools, infrastructure, and real-world constraints — from coding agents and local experimentation to cloud security, power limits, and the economics shaping how AI is built and used.

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Google I/O 2026: 900M Users, Musk Loses, Gemma Ships


Elena Daehnhardt ·

Google I/O dominated the week — Gemini 3.5 Flash shipped the day it was announced, Gemini Omni brought native multimodal generation, Antigravity 2.0 turned Google's coding tool into a full agent platform, and Gemini Spark arrived as a 24/7 personal agent running on cloud VMs. On the same day, Anthropic's Code with Claude London went head to head with I/O for developer attention, and Google quietly added Gemma 4 to its Android Bench leaderboard — the open-weights play for the enterprises that cannot use the cloud version. And a jury in Oakland took 90 minutes to throw out Elon Musk's $150 billion lawsuit against OpenAI. Four signals. Two days. One very loud week. Read more...

Claude free tier limits: what breaks first and what Pro fixes


Elena Daehnhardt ·

Claude Pro costs $20 a month. Here is exactly what changes when you pay for it — model access, usage limits, Projects, memory, deep research, Claude Code, and Claude Cowork — with practical examples for every major feature. Read more...

OpenAI’s $4B Deployment Bet


Elena Daehnhardt ·

This week's AI signals point to a quieter but more consequential shift: frontier AI is moving from demos into deployment machinery. OpenAI launched a dedicated deployment company with TPG and 19 partners, expanded cyber-defense access through Daybreak, documented how Codex is run safely, and put Codex on phones. Claude moved deeper into legal workflows through MCP and the Thomson Reuters CoCounsel integration. Notion turned its workspace into a host for external agents. Google pushed Gemini Intelligence into Android. NVIDIA shipped agent-aware serving in Dynamo and an open-weights multimodal MoE in Nemotron 3 Nano Omni. PyCon US 2026 added dedicated AI and Security tracks. Read more...

AI’s New Defaults and Hidden Costs


Elena Daehnhardt ·

This week’s AI signals were less about one dramatic model launch and more about AI becoming infrastructure. GPT-5.5 Instant became the default model many ChatGPT users will meet first. Google shipped practical developer updates for multimodal retrieval, webhooks, and faster Gemma inference. Microsoft added automated right-sizing for AI-heavy SQL workloads. DeepMind and CCP framed EVE Online as a living lab for long-horizon agents. The EU’s Digital Omnibus pushed AI governance toward concrete implementation timelines. CAISI expanded pre-release frontier model testing. A Chinese court signalled that AI adoption alone does not justify dismissal. And data centres became a ratepayer and permitting fight. Read more...

Capability Meets Constraint


Elena Daehnhardt ·

This week's AI signals mark a sharper turning point: frontier capability kept rising, while multimodal enterprise launches and cybersecurity controls moved into production. OpenAI expanded GPT-5.5, DeepSeek released V4, NVIDIA announced Nemotron 3 Nano Omni, IBM released Granite 4.1, and Anthropic launched Claude Security public beta. Read more...

Codex CLI Part 4: Advanced Operations, Troubleshooting, and Team Patterns


Elena Daehnhardt ·

Part 4 closes the Codex CLI series with advanced operational patterns: non-interactive automation, permission strategy, troubleshooting playbooks, and team-level standards for reliable adoption. Read more...

Has the open-source gap closed?


Elena Daehnhardt ·

OpenAI ended the week by releasing GPT-5.5 — codenamed Spud — retaking the top spot across 14 benchmarks and positioning itself explicitly as an agent runtime rather than a chat model. Two Chinese labs shipped frontier-quality models on the same day: Alibaba's Qwen 3.6-Max-Preview closed its weights for the first time, and Moonshot's open-source Kimi K2.6 reached #4 on the global intelligence index, level with Western frontier labs. OpenAI's gpt-image-2 introduced reasoning into image generation. Google confirmed Gemini will power the next Siri. Amazon committed another $25 billion to Anthropic. And the Stanford AI Index documented a field accelerating faster than every institution surrounding it. Nine signals. A week that moved the map. Read more...

Codex CLI Part 3: Practical Workflows for Blogging and Python Development


Elena Daehnhardt ·

A practical, high-depth guide to using Codex CLI for blog editing and Python delivery: review loops, safe refactoring, debugging, and non-interactive automation with explicit guardrails. Read more...

Agents, Cyber Models, and the Safety Stack Tightening Up


Elena Daehnhardt ·

This week's clearest AI signal was not a giant new general model. It was the rapid convergence of stronger agent tooling, more cyber-capable systems, and tighter safety controls. Anthropic shipped Claude Opus 4.7 with new cyber safeguards. OpenAI expanded trusted cyber access, upgraded its Agents SDK, and pushed Codex deeper into real developer workflows. Microsoft launched a cheaper production-grade image model. Meanwhile, Anthropic's Mythos triggered a real regulatory response across central banks and governments. Read more...

AI Signals: Controlled Releases and Platform Integration


Elena Daehnhardt ·

This week’s AI signals point to a shift toward controlled releases and platform integration. Meta launched Muse Spark, Microsoft expanded its multimodal stack, and efficiency improvements continue to shape deployment. Instead of rapid disruption, the focus is on deliberate progress and clearer strategic direction. Read more...

AI Signals: From Models to the Full Stack


Elena Daehnhardt ·

This week’s AI signals show a clear shift from models to the full stack. Microsoft expanded its multimodal model lineup, AI is being used to design chips, and new AI-native devices are emerging. At the same time, a powerful Anthropic model remains unreleased due to safety concerns, trust is lagging behind adoption, and startup valuations are accelerating again. Read more...

The Digital Butler or Trojan Horse? A Privacy Playbook for Persistent AI Agents


Elena Daehnhardt ·

Persistent AI agents can save hours each week, but they also turn hidden prompt injections into real-world actions unless you design strict controls. This guide shows how to harden agent workflows with policy gates, isolation, scoped permissions, and safe auditing. Read more...

AI's New Bottleneck


Elena Daehnhardt ·

The week, AI signals shifted attention from generic model chatter to concrete releases and constraints. Google launched Gemini 3.1 Flash Live and Lyria 3 Pro for developers, while reports of Anthropic's unreleased Mythos/Capybara model highlighted high-capability safety pressure. At the same time, U.S. datacenter policy and GitHub's Copilot data-default change reinforced that governance and infrastructure are now product-critical. Read more...

Infrastructure Is the New Frontier


Elena Daehnhardt ·

This week’s biggest AI signal was not a new frontier model. It was the fast consolidation of infrastructure, distribution, and cost. Nvidia pushed agentic AI and robotics as stack problems. Anthropic invested in enterprise distribution and tested asynchronous delegation. Microsoft, Mistral, and OpenAI advanced the efficiency tier. Xiaomi and Rakuten showed how global and contested the open-weight race has become. Read more...

Edge AI in Everyday Operations


Mark Simons ·

Practical ways businesses can use Edge AI to make faster, local decisions without replacing existing systems or relying on constant cloud connectivity. Read more...

Better Models, Burnout, and a $599 Mac


Elena Daehnhardt ·

GPT-5.4 arrived with native computer use and a 1M-token context window. Anthropic moved further toward becoming an enterprise platform. And Block's layoffs, alongside new HBR research on "AI brain fry," made one thing clear: this week's real signal was not just better models, but what AI is doing to work. Read more...

AI Is Splitting Into Tiers


Elena Daehnhardt ·

Three fast, cheap models landed in the same week — Gemini 3.1 Flash-Lite, GPT-5.3 Instant, and Qwen3.5-9B. That is not a coincidence. The cost-performance frontier just moved. Read more...

Vibe Coding Wasn't Enough — The Lightweight System I Use to Turn AI Prompts into Deployed Apps


Elena Daehnhardt ·

Vibe coding can generate working apps in minutes — but most don’t last. I replaced chaotic prompting with a simple, spec-driven AI workflow that turns ideas into reliable, deployed tools. Read more...

72.5%, $710B, and a March in London


Elena Daehnhardt ·

This week's signals trace a collision between software and reality: Anthropic's leap in computer automation, a record-breaking $710B cloud capex plan, and the resulting shockwaves in consumer electronics prices and global energy policy. Read more...

OpenClaw Isn't a Chatbot Anymore. It's Infrastructure.


Elena Daehnhardt ·

AI agents like OpenClaw are wonderful tools — but without strict access rules and proper supervision, they can turn an ordinary Tuesday into something you will be explaining to HR for weeks. In this post, we explore the very real risks of deploying AI assistants carelessly, from leaked credentials to messages you absolutely did not mean to send. Most importantly, we look at how to use OpenClaw the right way, because when deployed thoughtfully, it is one of the most exciting and capable tools we are only just beginning to understand. Read more...

Agentic AI at Scale: New models, $30B, and the UKRI Strategy


Elena Daehnhardt ·

Weekly AI Signals for February 12-19, 2026: Claude Sonnet 4.6, Gemini 3.1 Pro, Anthropic's $30B Series G, and UKRI's £1.6 billion AI strategy show how capability, capital, and sovereignty are shaping AI at scale. Read more...

AI Improves Itself While We Argue About Permits


Elena Daehnhardt ·

This week's signals show AI capability racing ahead while real-world constraints tighten: $2.5B inference funding, self-improving models from OpenAI and Anthropic, ByteDance's restricted video AI, and data centres stuck in permit battles. The gap between what models can do and what infrastructure can support is becoming the central story. Read more...

Codex CLI Part 2 — Security Controls & Safe Editing


Elena Daehnhardt ·

Learn how Codex CLI balances permissions and approvals to keep you in control. Master essential commands like /diff and /review, understand the three security modes, and make your first safe code edits with full visibility. Read more...

The AI Paradox: Lightning Fast and Gridlocked


Elena Daehnhardt ·

This week's signals were about constraints and acceleration at once: AI-assisted cloud attacks, multi-year grid queues in Europe, new infrastructure funds, and consumer GPU pricing pressures — alongside fast adoption of consumer AI apps. Read more...

Using AI Code Assistants Safely


Elena Daehnhardt ·

A practical, human guide to using generative code assistants safely — without leaking secrets, breaking trust, or losing control of your work. Read more...

Chips, Capex, and Code Risk


Elena Daehnhardt ·

This week’s AI signals were practical rather than flashy: Microsoft’s earnings tied AI to long-term capex, Anthropic pushed export-focused regulation, China approved limited H200 imports, and everyday compute continued to rise. Together, they point to AI becoming infrastructure — budgeted, regulated, and increasingly constrained. Read more...

This Week in AI: Regulation Heat, Cloud Bets, and Agentic Shopping


Elena Daehnhardt ·

A structured breakdown of this week's AI signals: PwC reveals only 12% of CEOs get AI ROI, Meta faces a child-safety trial, chip export oversight advances, and Google's UCP proposes agentic commerce standards. Read more...

Getting Started with Codex CLI


Elena Daehnhardt ·

Learn what Codex CLI is, how to install it on Mac, Linux, and Windows, and take your first steps with this AI coding assistant that runs in your terminal. Read more...

The Week AI Got Practical: Laws, Power, and Open Models


Elena Daehnhardt ·

A structured breakdown of the week's AI signals: state-level safety laws harden, Texas becomes an AI infrastructure node, and Google advances agentic commerce rails. Read more...

My Multi-Agent Workflow


Elena Daehnhardt ·

A structured guide to building a calm, dependable multi-agent publishing workflow: which AI tool operates at which layer, and how to wire them together without chaos. Read more...

Signals from the AI Supply Chain


Elena Daehnhardt ·

A structured breakdown of this week's AI signals: TSMC confirms AI chip demand is structural, Apple partners with Google Gemini to power Siri, and Google introduces the Universal Commerce Protocol for agentic shopping. Read more...

AI's Week of Limits: Safety, Control, and Real-World Physics


Elena Daehnhardt ·

A structured breakdown of the week's AI signals: France chooses Mistral for sovereign AI, Nvidia pivots to inference at CES, Grok exposes the deployment safety gap, and fusion labs show where AI earns real trust. Read more...

As 2025 Closes: AI's Week of Regulation, Infrastructure, and Autonomy


Elena Daehnhardt ·

A structured breakdown of the final week of 2025: China's emotional AI regulations, the SoftBank–DigitalBridge $4B infrastructure deal, and Meta's $2B+ acquisition of autonomous agent startup Manus. Read more...

Hardware Handshakes, Prompt Injection Reality, and AI Beyond the Screen


Elena Daehnhardt ·

A structured breakdown of the final week of 2025: the $20B Nvidia–Groq deal, OpenAI's prompt injection admission, the CONTEXT.md best practice, and Waymo's Gemini deployment. Read more...

AI Interfaces, Safety, and Multimodal Systems


Elena Daehnhardt ·

A structured breakdown of this week's AI signals: Google's Gemini 3 Flash raises the bar for speed, A2UI lets agents build their own interfaces, and OpenAI/Anthropic add structural safety for younger users. Read more...

Antigravity 1.11.9 vs Cursor 2.1.42 (Universal): A Practical Comparison


Elena Daehnhardt ·

A structured head-to-head comparison of Antigravity 1.11.9 and Cursor 2.1.42 — two IDEs with opposing philosophies: outcome delegation vs conversational assistance. Read more...

Labs, Law and New Hardware Horizons


Elena Daehnhardt ·

A structured breakdown of this week's AI signals: DeepMind's automated lab, OpenAI's screenless hardware, and why 42 attorneys general are demanding strict LLM safeguards. Read more...

A Short Tale of Bravery (at the Dentist)


Elena Daehnhardt ·

A personal story about facing the drill, followed by an AI Dentistry Evolution Matrix detailing how AI and robotics are quietly becoming the dentist's ultimate co-pilot. Read more...

AGI Timelines, 3D Vision, and the Reality of AI Scams


Elena Daehnhardt ·

A structured breakdown of the week's AI signals: from DeepMind's 2030 AGI forecast and Meta's SAM3D breakthrough to the chilling reality of voice-cloning scams. Read more...

A Journey Through AI and Code


Elena Daehnhardt ·

Another year has passed, and Elena's AI Blog is now four years old! Join me as I reflect on the year we shifted from generative AI to agentic orchestration, and outline the strategic roadmap for 2026. Read more...

The New Skill Stack, from Writing Code to Managing Intelligence


Elena Daehnhardt ·

The era of the bricklayer is over; the era of the architect has begun. A structured guide to the new Developer Skill Stack, from writing agent contracts to tracking AI energy costs. Read more...

Claude Opus, ChatGPT Shopping, EV Forecasting and DeepSeekMath-V2


Elena Daehnhardt ·

A structured breakdown of this week’s most meaningful AI shifts—from Claude Opus 4.5's coding enhancements to ChatGPT shopping agents, and DeepSeek's open-source mathematical breakthroughs. Read more...

Ethics, Gravity, and the Future We're Actually Building


Elena Daehnhardt ·

Google's Antigravity IDE killed the text editor in favour of agent orchestration, while the WHO demanded humanity 'hold the pen.' Explore the architectural shifts of Gemini 3 and why the AI Wild West is officially over. Read more...

Ethics, Code, Chips, and a Petaflop on Your Desk


Elena Daehnhardt ·

A structured breakdown of the week's AI workflow shifts: from NVIDIA's desktop petaflop and MIT's LLM modularity to why 91% of developers still insist on reviewing AI-generated code. Read more...

Could AI Become a New Religion?


Elena Daehnhardt ·

A gentle exploration of how institutions move from resisting scientific novelty to shaping AI ethics. We examine the theological limits of artificial intelligence and why kindness and human dignity must guide the future we build. Read more...

Apache-Licensed Summarizers


Elena Daehnhardt ·

Looking for summarisation models you can safely use in your app? Here is a definitive guide to Apache-licensed transformer models, complete with selection matrices and production gotchas. Read more...

AI Weekly — Agents Grow Up, Clouds Get Bigger


Elena Daehnhardt ·

OpenAI books a mountain of AWS compute, Google ships production tooling for agents, and GitHub adds org-wide steering. A structured breakdown of the week's AI workflow shifts. Read more...

A few thoughts on Cursor 2.0


Elena Daehnhardt ·

Cursor 2.0 shifts from autocomplete to autonomous agents via the Composer model and Sandboxed Terminal. Evaluate if this IDE migration is right for your workflow with our Decision Matrix. Read more...

AI Infrastructure, Small Models, and Multi-Agent Coding


Elena Daehnhardt ·

NVIDIA pushes exaflop limits, IBM releases lightweight edge models, and GitHub networks AI coding agents. A structured breakdown of the week's hardware and workflow shifts. Read more...

Quantum Thinking, Light Models, Living Networks


Elena Daehnhardt ·

Google achieves quantum leaps, researchers build 1.7M parameter 3D models, and telecom networks self-optimise. A structured breakdown of the week's critical AI infrastructure shifts. Read more...

LoRA fine-tuning wins


Elena Daehnhardt ·

You no longer need to retrain entire language models. LoRA allows you to teach new capabilities via tiny adapters. Here is the architectural code, deployment cheat sheets, and production pitfalls. Read more...

AI Honesty, Agents, and the Fight for Truth


Elena Daehnhardt ·

California mandates AI transparency, Microsoft pushes agents to the OS level, and publishers fight for source attribution. A structured breakdown of the week's critical AI policy shifts. Read more...

Safety, Agents, and Compute


Elena Daehnhardt ·

Three major AI announcements dropped this week that demand architectural attention. Google taught agents to use computers visually. DeepMind built an agent that automatically patches vulnerabilities. OpenAI secured 6 gigawatts of compute capacity. Here is the technical delta and how builders must adapt. Read more...

Cursor Made Me Do It


Elena Daehnhardt ·

AI makes software development feel frictionless, leading to unprecedented feature bloat. We explore the symptoms of AI scope creep and define a strict architectural framework to maintain control. Read more...

AI Got Rules, Wheels & a Lab Coat


Elena Daehnhardt ·

AI just got new safety rules, Europe is steering into autonomous roads, and MIT taught models some physics. Busy week. Read more...

AI’s Busy Week


Elena Daehnhardt ·

From Britain’s sovereign AI push to coding models that think like engineers, this week’s breakthroughs show AI growing brains, memory, and initiative — plus some long-overdue policy wins. Read more...

Gemini CLI versus Claude CLI


Elena Daehnhardt ·

Command-line AI tools are the new pocket knives of coding life. We compare Gemini CLI and Claude CLI, detailing their installation, privacy profiles, SWE-bench accuracy, and how to integrate them via Python. Read more...

AI this week


Elena Daehnhardt ·

ChatGPT goes mainstream with 700M weekly users, Google finds a cure for hallucinations, GPT-5 Codex rewrites your code, textbooks finally get personal, and AR learns when to keep quiet. Read more...

Vibe Coding with Cursor AI


Elena Daehnhardt ·

Testing Cursor AI in Agent Mode feels like coding with a slightly eccentric but eager partner. Friendly, fast, sometimes forgetful — here’s how GPT-5, Auto mode, and grok-code-fast stack up, with real specs. Read more...

AI weekly news


Elena Daehnhardt ·

This week in AI: leaner models beating the giants, Google rewriting the speed–accuracy trade-off, AI that codes for scientists, smarter DNA design, and OpenAI trying to tame the AI job market. Read more...

AI weekly


Elena Daehnhardt ·

We have picked up new AI happenings this week: GRPO for smarter training, reasoning models that cut the nonsense, entry-level jobs under pressure, Nano Banana stealing the image crown, and GPT-5 hacks unlocking hidden power. Read more...

How to Create a Weekly Menu with ChatGPT-5


Elena Daehnhardt ·

This week, I let ChatGPT-5 into my kitchen. The result? A complete weekly meal plan for two people, tailored macros, batch-cooking flows, fridge-friendly PDFs, and even a laminated checklist with tick boxes. Read more...

AI weekly wins


Elena Daehnhardt ·

This week, AI became cheaper, more natural, and a lot more practical. Oxford’s new optimiser slashes training bills by 80%, OpenAI’s voice system talks like a real human, and Google’s ‘Nano Banana’ image model quietly outshines the big players. Somewhere between a notebook for AI memory and hybrid reasoning for everyone, the field is shifting from expensive experiments to everyday tools. Read more...

Who Did the AI Learn From?


Elena Daehnhardt ·

Large Language Models learn similarly to Rembrandt's apprentices — by endlessly studying the masters. Yet, modern AI models hide their sources. We explore the legal and ethical necessity of a structured transparency framework for AI training data. Read more...

This week in AI


Elena Daehnhardt ·

This week’s AI breakthroughs make the technology feel less like distant research and more like practical tools. From open-source giants and real-time voice recognition to edge creativity, workplace automation, and smarter data reasoning — here are five updates worth your attention. Read more...

This week in AI


Elena Daehnhardt ·

From Europe’s multilingual AI surge to Google’s ultra-efficient Gemma model, Meta’s self-supervised vision leap, and new tools reshaping AI safety and testing — here are the top AI developments this week. Read more...

Workflow Automation with n8n


Elena Daehnhardt ·

Manual content pipelines inevitably fail at scale. After outgrowing brittle Python cron jobs, I migrated my infrastructure to n8n—a self-hosted, node-based orchestration layer. Here is the technical breakdown of configuring databases, managing OAuth2 security, and deploying AI-driven agents. Read more...

Will SaaS Survive?


Elena Daehnhardt ·

SaaS isn't dying—it's evolving. AI is disrupting traditional workflows and pricing models, but innovative companies are adapting by becoming infrastructure layers, owning domain expertise, and focusing on outcomes rather than interfaces. Read more...

This week in AI


Elena Daehnhardt ·

This week in AI saw groundbreaking releases from industry giants. OpenAI unveiled GPT-5 along with open-source GPT-OS-120b and 20b, making high-end AI accessible from laptops to phones. Google introduced DeepPolisher for genome error correction and Genie 3 for creating interactive virtual worlds. Alibaba launched GSPO powering Qwen3, plus Qwen-Image for free text-to-image generation. Anthropic rolled out Persona Vectors for consistent AI personalities. New mobile-ready AI models and coding assistants rounded out a week that made AI faster, more open, and more integrated into everyday tech. Read more...

Self-critical AI


Elena Daehnhardt ·

Can Large Language Models achieve meta-cognition regarding their own stylistic patterns? In this primary research experiment, I tested Gemini, ChatGPT, and Claude to see if they could not only replicate my human writing style, but actively self-correct when confronted with AI-detection tools like Grammarly. Read more...

Vibe coding with Generative AI


Elena Daehnhardt ·

I've been getting into "vibe coding" recently, quickly prototyping some of my ideas, and working on my pet projects. I must confess that the AI-assisted coding is a very addictive activity, and must be taken with caution since it has some security implications and requires a careful prompts engineering. Read more...

How to Use Claude AI


Elena Daehnhardt ·

What is Claude AI? What can we do with it, and how? Let's explore this fantastic AI assistant by Anthropic. Read more...

How CustomGPT Mitigates AI Hallucinations


Elena Daehnhardt ·

CustomGPT reduces AI errors using specialised knowledge, quality data, and user feedback. Along with RAG, it provides accurate and reliable content for various applications. Read more...

Is DeepSeek R1 Secure?


Elena Daehnhardt ·

There is a big question about DeepSeek's security (and also the security of any software product, in fact), safety, and legal usage outside of China. I am sharing my opinion and some relevant links on this topic. Read more...

DeepSeek R1 With Ollama


Elena Daehnhardt ·

This post explores the use of Ollama, a state-of-the-art language modelling framework, in conjunction with pre-trained models such as DeepSeek R1. Read more...

AI in 2024


Elena Daehnhardt ·

As 2025 approaches, let's reflect on 2024's key AI advancements, including specialized models, growth in AI creativity, and the introduction of the AI Act. Here are my thoughts on the notable events. Read more...

Multimodal AI


Elena Daehnhardt ·

Multimodal AI is rapidly evolving, pushing the boundaries of what machines can understand and achieve by combining information from multiple modalities like text, images, audio, and video. This post explores the core techniques of realising multimodal AI, existing systems and related research. Read more...

Celebrate Halloween with AI


Elena Daehnhardt ·

Halloween, celebrated on October 31, has its roots in ancient Celtic rituals. Halloween allows us to unleash our creativity by crafting spooky costumes and decorations. In this post, I will suggest several ways to celebrate Halloween with the help of AI. AI can provide eerie sound effects, assist in costume design, offer voice modification features, and present fun filters for your face. Enjoy the celebration! Read more...

What is RAG? How Retrieval-Augmented Generation actually works


Elena Daehnhardt ·

Large language models are impressive, but they suffer from a major flaw they hallucinate facts because they are essentially just predicting the next word. Retrieval-Augmented Generation (RAG) fixes this by grounding the AI in verified data before it answers. Here is an overview of how it works and the current state of research. Read more...

Narrow AI, General AI, Superintelligence, and The Real Intelligence


Elena Daehnhardt ·

I discuss the main AI types in this post. I share my understanding of the possibility of general intelligence in the future. Read more...

ARC-AGI benchmark and a hefty prize


Elena Daehnhardt ·

I am sharing information about the recent Kaggle competition launch, which focuses on advancing general intelligence. Read more...

Sending Emails with Python and receiving your messages


Elena Daehnhardt ·

Running a static site on GitHub Pages means I don't have a backend to process forms or send newsletters. But that hasn't stopped me. Here is how I handle incoming messages, and how I use Python and Gmail to send automated emails. Read more...

Can AI hallucinate?


Elena Daehnhardt ·

AI hallucinations are a critical phenomenon in AI, referring to instances where AI systems generate inaccurate or nonsensical information. This post explores the main causes of AI hallucinations, their implications, possible benefits, and existing solutions. Read more...

To cite or perish


Elena Daehnhardt ·

Proper citation is a must to maintain academic and ethical integrity. It is a valuable skill that promotes respect for other people, creates a chain of arguments paramount in research and science, and protects one's life efforts in the future. Herein, I write my approach to citation. This might be useful for my student readers. Read more...

Robots and True Love


Elena Daehnhardt ·

In this post, I write about robots and their creation challenges in real-life tasks, research areas, safety and ethical considerations, and future aspirations. I also briefly refer to a few starting points for creating robots with Raspberry Pi and Python. Read more...

Virtual Presenters (AI Avatars in-depth)


Elena Daehnhardt ·

Digital humans are taking over training modules and marketing videos, and the technology is surprisingly accessible. Here is a look at my favourite platforms for creating AI avatars, plus a quick guide to generating your own in Python. Read more...

Super-girls don't cry in face-swaps


Elena Daehnhardt ·

I wanted to see myself flying over Niagara Falls as a superhero. Here is how I did it — InsightFace Bot, Midjourney, and a Python/OpenCV implementation with Haar cascades and seamless blending. Read more...

Podcast: How can we build trust and safety around AI?


Elena Daehnhardt ·

Lawyer Cláudia Lima Costa is an expert in Artificial Intelligence and has created an amazing podcast that raises pertinent questions about trust and safety in AI systems. I was fortunate enough to be invited to a relaxed discussion where I shared my views on various topics related to AI, such as AI evolution, AI applications, data sources for training models, copyright, data protection, privacy-preserving techniques, and achieving reliable, explainable, safe, and helpful AI. Read more...

Explainable AI is possible


Elena Daehnhardt ·

The complexity of AI, particularly deep learning models, has led to the "black box" criticism, highlighting the lack of understanding about how deep learning models arrive at their decisions. While there's truth to this concern, having a nuanced view is important. In this post, I share my view on AI explainability, that it is complex, however possible. Read more...

OpenAI's Model Show-off


Elena Daehnhardt ·

OpenAI's GPT models are highly sophisticated machine learning models that are used in various fields such as natural language processing, coding assistance, and content creation. OpenAI's newest video-generating model, Sora, sets a new benchmark in video generation technology, which I quickly explore in this post. Read more...

chatGPT and Friends


Elena Daehnhardt ·

ChatGPT is a powerful language model that has revolutionised the way we interact with technology. This post explores ChatGPT and its alternatives, delving into their capabilities, applications, and ethical considerations. Read more...

AI Synthesised Voices


Elena Daehnhardt ·

In this post, I discuss voice synthesis and cloning, and mention fantastic AI tools and APIs for creating high-quality human-like voices from text or for automatic voice dubbing. Read more...

Living with AI in Pursuit of Happiness


Elena Daehnhardt ·

This blog is not about coding or AI; it is about living with AI in human society, striving for happiness and building on technological advances. Read more...

Blog Writing with AI in MindStudio


Elena Daehnhardt ·

BlogGenie created a draft of this post at YouAI (MindStudio) and aims to demonstrate how AI writing assistants can streamline the blog generation process. It focuses specifically on leveraging YouAI for overall framing and BlogGenie for on-page SEO best practices. This allows for creating initial drafts in seconds rather than hours. You still have to edit and correct an outline to finalise your post. Read more...

Creating Websites with AI on Mixo.io


Elena Daehnhardt ·

Have you ever wished for a website that writes itself? This dream is now a reality thanks to the advancement in Artificial Intelligence (AI). With Mixo.io, you can create stunning websites using AI technology--in minutes! In this blog post, we will explore website creation with Mixo.io. Read more...

Machine-Learning Process


Elena Daehnhardt ·

The machine learning process involves a series of steps and activities designed to develop and deploy machine learning models to solve specific problems or make predictions. To simplify, we create programs that take in data and produce desired results in machine learning. There are several stages in the machine-learning process that we briefly describe in this post. Read more...

Why AI will never void humanity?


Elena Daehnhardt ·

Why AI will never void humanity? What AI wants badly? I was thinking about these questions while travelling. I will share my initial thoughts with you, my dear reader. Read more...

Generate Music with AI


Elena Daehnhardt ·

In this post, we will get into music generation with AI. We will briefly explore existing AI applications generating audio. We will explore transformer usage while coding music generation with HuggingFace transformers in Python. Read more...

A Warm August and Vacation


Elena Daehnhardt ·

In this post, I write about what's happening in my life. August 2023 is quite warm, and I have decided to have a short vacation, which is much needed since I am preparing a surprise for you, my dear reader. Read more...

AI-Free Website Design


Elena Daehnhardt ·

In this post, I write about my efforts in creating CSS and HTML pages for my website with chatGPT and why I ended up doing it myself while learning from the bot, Google Search, CodePen and w3schools. Read more...

GPT Implications for Coding


Elena Daehnhardt ·

The AI evolution has implications for programming and programmer jobs. GPT usage allows for quicker product releases and a focus on user requirements. However, low-coding jobs could be delegated to AI, new skills for AI-assisted programming be required or access to sophisticated models only available to some. The new coding age is upon us. In this blog post, I highlight the opportunities and challenges of AI-assisted code generation and share my experiences using chatGPT. Read more...

Mastering Midjourney Prompts for Stunning Images


Elena Daehnhardt ·

In this post, I write about creating stunning designs in Midjourney. We create AI-generated designs for an ice cream cafe. In the end, I list all prompts and handy keywords to take away for your fantastic own creations. Read more...

The Magic of AI Tools


Elena Daehnhardt ·

In this post, I list some of my favorite AI applications for productivity and fun. Read more...

The Remarkable Evolution and Milestones of AI


Elena Daehnhardt ·

In this post, I outline the AI evolution and its most prominent milestones with chatGPT and Midjourney. Read more...

From Dutch Golden Age to AI Art: A Journey with Vermeer and AI


Elena Daehnhardt ·

In this post, I collaborated with ChatGPT to explore the captivating World of Dutch art and Johannes Vermeer. As an art critic and historian, ChatGPT provides fascinating insights into Vermeer's masterpieces and the historical events that influenced them. I also share my emotional experience of visiting a Vermeer art exhibition, and we'll have some fun creating AI art with Jasper.ai, DALL-E, Stable Diffusion Playground and Midjourney bot. Take advantage of my tips for refining ChatGPT's output and the prompts I used to get the best results. Join me on this adventure and discover the beauty of Dutch art and AI-art outcomes! Read more...

The Most Useful AI-Content and Plagiarism Detection Tools


Elena Daehnhardt ·

With the development of AI-content generators such as chatGPT, we have a new need to identify such content, and the tools of AI-content detection are currently being developed. Writing assistants and plagiarism detection tools also include AI-content detection. In this post, I talk about the most visible AI tools that help us mitigate plagiarism and motivate us to create original and well-written content. Indeed, I will start with the definition of plagiarism, why it's terrible, and move quickly into helpful tools in AI-content and plagiarism detection that are available today. Read more...

Machine Learning Tests using the Titanic dataset


Elena Daehnhardt ·

In this post, we created and evaluated several machine-learning models using the Titanic Dataset. We have compared the performance of the Logistic Regression, Decision Tree and Random Forest from Python's library scikit-learn and a Neural Network created with TensorFlow. The Random Forest Performed the best! Read more...

Python coding with chatGPT


Elena Daehnhardt ·

In this post, I did some Python coding with chatGPT. We have coded a neuron, a simple neural network, and learned how to train it. I am pleased with the result. I think that chatGPT has excellent potential for CS students and all coders that want to update their skills effectively. Is it an end of the StackOverflow? We cannot see the feature. However, we still need social interaction with humans, and AI cannot substitute human communication. Read more...

Happy New Year!


Elena Daehnhardt ·

My best wishes for 2023! I wish you happiness, health, and excellent luck in the New Year! Let your best wishes come true, and your professional goals are achieved with success! Read more...

chatGPT Wrote me a Christmas Poem


Elena Daehnhardt ·

In this post, I shared my thoughts on chatGPT, its technology, and its possible societal implications. I also asked it to write a Christmas poem for me, which was pretty good! Read more...

TensorFlow: Transfer Learning (Feature Extraction) in Image Classification


Elena Daehnhardt ·

Image classification is a complex task. However, we can approach the problem while reusing state-of-the-art pre-trained models. Using previously learned patterns from other models is named "Transfer Learning." This way, we can efficiently apply well-tested models, potentially leading to excellent performance. Read more...

Artificial Neural Networks


Elena Daehnhardt ·

Artificial neural networks (ANNs) are the cornerstone of Deep Learning algorithms. The name and the architecture are adopted from the human brain's neural network. ANNs are designed to simulate human reasoning based on how neurons communicate. ANNs contain a set of artificial neurons connected. Read more...

Deep Learning vs Machine Learning


Elena Daehnhardt ·

Artificial Intelligence (AI) is a field of computer science. AI provides methods and algorithms to mimic human intelligence, reasoning, and decision-making and provide insights, which businesses could use in research or industry to build new exciting and innovative products or services. Machine Learning (ML) is a subset of AI with algorithms that learn from data. In this post, we sort out the differences between AI and ML. Read more...

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