New solutions to debut at the Online News Association annual conference to showcase the latest digital trends and connect with journalists, leaders and technology innovators shaping the future of media. Expert.ai, a leading provider of enterprise artificial intelligence solutions for business value creation, presents enhanced AI-powered solutions purpose-built for Digital Information Services. In today’s data-saturated […]| MarTech Series
A six-month analysis of 54 websites found that traffic from large language models converts at almost the same rate as organic search. The research, carried out by Amsive, used Google Analytics 4 data from sites with validated purchases or form fills.| Digital Information World
Over the past months, I've been working on a project that combines my interests in data-engineering, AI, and civic transparency: building a [Contextualise AI](posts/contextualise-ai/)-based data pipeline that processes and analyses the procedures of the Norwegian Parliament (Stortinget).| Brett Kromkamp
Ever feel like tech headlines are coming at you faster than your morning coffee kicks in?| SAS Voices
In this article, we explore deploying LLMs using Runpod, Vast.ai, Docker, and Hugging Face Text Generation Inference. The post Deploying LLMs: Runpod, Vast AI, Docker, and Text Generation Inference appeared first on DebuggerCafe.| DebuggerCafe
Any time I share my collection of tools built using vibe coding and AI-assisted development (now at 124, here's the definitive list) someone will inevitably complain that they're mostly trivial. A lot of them are! Here's a list of some that I think are genuinely useful and worth highlighting: OCR PDFs and images directly in your browser. This is the tool that started the collection, and I still use it on a regular basis. You can open any PDF in it (even PDFs that are just scanned images with ...| Simon Willison's Weblog
Beyond Vibe Coding Back in May I wrote Two publishers and three authors fail to understand what “vibe coding” means where I called out the authors of two forthcoming books on "vibe coding" for abusing that term to refer to all forms of AI-assisted development, when Not all AI-assisted programming is vibe coding based on the original Karpathy definition.I'll be honest: I don't feel great about that post. I made an example of those two books to push my own agenda of encouraging "vibe coding...| Simon Willison's Weblog
Rich Pixels Neat Python library by Darren Burns adding pixel image support to the Rich terminal library, using tricks to render an image using full or half-height colored blocks.Here's the key trick - it renders Unicode ▄ (U+2584, "lower half block") characters after setting a foreground and background color for the two pixels it needs to display. I got GPT-5 to vibe code up a show_image.py terminal command which resizes the provided image to fit the width and height of the current terminal...| Simon Willison's Weblog
Introducing gpt-realtime Released a few days ago (August 28th), gpt-realtime is OpenAI's new "most advanced speech-to-speech model". It looks like this is a replacement for the older gpt-4o-realtime-preview model that was released last October.This is a slightly confusing release. The previous realtime model was clearly described as a variant of GPT-4o, sharing the same October 2023 training cut-off date as that model. I had expected that gpt-realtime might be a GPT-5 relative, but its traini...| Simon Willison's Weblog
Cloudflare Radar: AI Insights Cloudflare launched this dashboard back in February, incorporating traffic analysis from Cloudflare's network along with insights from their popular 1.1.1.1 DNS service.I found this chart particularly interesting, showing which documented AI crawlers are most active collecting training data - lead by GPTBot, ClaudeBot and Meta-ExternalAgent: Cloudflare's DNS data also hints at the popularity of different services. ChatGPT holds the first place, which is unsurpris...| Simon Willison's Weblog
Claude Opus 4.1 and Opus 4 degraded quality Notable because often when people complain of degraded model quality it turns out to be unfounded - Anthropic in the past have emphasized that they don't change the model weights after releasing them without changing the version number.In this case a botched upgrade of their inference stack cause a genuine model degradation for 56.5 hours: From 17:30 UTC on Aug 25th to 02:00 UTC on Aug 28th, Claude Opus 4.1 experienced a degradation in quality for s...| Simon Willison's Weblog
LLMs are intelligence without agency—what we might call "vox sine persona": voice without person. Not the voice of someone, not even the collective voice of many someones, but a voice emanating from no one at all. — Benj Edwards Tags: benj-edwards, ai-personality, generative-ai, ai, llms| Simon Willison's Weblog
The perils of vibe coding I was interviewed by Elaine Moore for this opinion piece in the Financial Times, which ended up in the print edition of the paper too! I picked up a copy yesterday: From the article, with links added by me to relevant projects: Willison thinks the best way to see what a new model can do is to ask for something unusual. He likes to request an SVG (an image made out of lines described with code) of a pelican on a bike and asks it to remember the chickens in his garden ...| Simon Willison's Weblog
We simply don’t know to defend against these attacks. We have zero agentic AI systems that are secure against these attacks. Any AI that is working in an adversarial environment—and …| Simon Willison’s Weblog
In the fast-evolving world of eCommerce, AI and Large Language Models (LLMs) are reshaping how customers discover and engage with Shopify stores. This blog dives into 10 actionable techniques to optimize your store’s content for AI, ensuring better visibility and customer interaction. From structured data markup to user-generated content, each method is explained with practical steps and expert insights to help store owners thrive in an AI-driven landscape.| StoreSEO
Worldcon is the apex annual convention for a certain stratum of science fiction fandom. My stratum, to be precise. It's also the conference whose members vote the annual Hugo Awards. Sadly, Worldcon the conference is becoming less notable than ...| Zarf Updates
This article serves as a primer on prompt engineering, delving into the array of techniques used to control LLMs.| AI Accelerator Institute
The session focuses on enhancing outcomes for customers and businesses by optimizing the performance and output quality of generative AI.| AI Accelerator Institute
Discover expert insights on how to secure LLMs with the fastest guardrails in the industry, ensuring AI performance, safety, and reliability at scale.| AI Accelerator Institute
An Intellyx Brain Candy Brief Many roles in financial services companies involve labor intensive business processes. Agentic AI promises to improve productivity by automating such processes entirely or partly. Unique’s agentic AI automates financial services business processes and workflows for wealth management business processes and other financial services lines of business. For example, Unique’s AI […]| Intellyx – The Digital Transformation Experts – Analysts
KT and Viettel will work to develop a Vietnamese AI language model, creating industry-specific AX platforms.| RCR Wireless News
The open-source AI race just got more interesting. Chinese startup DeepSeek has unveiled DeepSeek-V3.1, its biggest upgrade yet, bringing sharper reasoning, stronger coding skills, and new support for tool-calling and agent workflows. Unlike its earlier release that felt experimental, V3.1 arrives as a serious contender. With a 128K context window, hybrid reasoning modes, and an API that’s dramatically cheaper […] The post DeepSeek V3.1 Is Here – Chinese Most Advanced Open-Source AI...| Fello AI
Piloting Claude for Chrome Two days ago I said:I strongly expect that the entire concept of an agentic browser extension is fatally flawed and cannot be built safely. Today Anthropic announced their own take on this pattern, implemented as an invite-only preview Chrome extension. To their credit, the majority of the blog post and accompanying support article is information about the security risks. From their post: Just as people encounter phishing attempts in their inboxes, browser-using AIs...| Simon Willison's Weblog
Agentic Browser Security: Indirect Prompt Injection in Perplexity Comet The security team from Brave took a look at Comet, the LLM-powered "agentic browser" extension from Perplexity, and unsurprisingly found security holes you can drive a truck through.The vulnerability we’re discussing in this post lies in how Comet processes webpage content: when users ask it to “Summarize this webpage,” Comet feeds a part of the webpage directly to its LLM without distinguishing between the user’s...| Simon Willison's Weblog
ChatGPT release notes: Project-only memory The feature I've most wanted from ChatGPT's memory feature (the newer version of memory that automatically includes relevant details from summarized prior conversations) just landed:With project-only memory enabled, ChatGPT can use other conversations in that project for additional context, and won’t use your saved memories from outside the project to shape responses. Additionally, it won’t carry anything from the project into future chats ou...| Simon Willison's Weblog
DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it's a hybrid reasoning model.DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks show "the same scores with 25-50% fewer tokens" - at least across AIME 2025 and GPQA Diamond and LiveCodeBench. The DeepSeek release includes prompt examples for a coding agent, a python agent an...| Simon Willison's Weblog
too many model context protocol servers and LLM allocations on the dance floor Useful reminder from Geoffrey Huntley of the infrequently discussed significant token cost of using MCP.Geoffrey estimate estimates that the usable context window something like Amp or Cursor is around 176,000 tokens - Claude 4's 200,000 minus around 24,000 for the system prompt for those tools. Adding just the popular GitHub MCP defines 93 additional tools and swallows another 55,000 of those valuable tokens! MCP ...| Simon Willison's Weblog
Frontier model training has pushed GPUs and AI systems to their absolute limits, making cost, efficiency, power, performance per TCO, and reliability central to the discussion on effective training. The Hopper vs Blackwell comparisons are not as simple as Nvidia would have you believe. In this report, we will start by present the results of […]| SemiAnalysis
To many power users (Pro and Plus), GPT5 was a disappointing release. But with closer inspection, the real release is focused on the vast majority of ChatGPT’s users, which is the 700m+ free userbase that is growing rapidly. Power users should be disappointed; this release wasn’t for them. The real consumer opportunity for OpenAI lies […]| SemiAnalysis
Researchers say Chain-of-Thought reasoning in AI is mostly pattern-matching, not real logic, and fails outside training.| Digital Information World
Open-Source Large Language Models in Radiology| vitalab.github.io
Discover the hidden bias in how humans evaluate AI outputs! Learn how perceptions of procedural knowledge extraction shape trust in AI and explore pathways to bridge the human-AI divide.| Blue Headline
Fun, creative new micro-eval. Split the world into a sampled collection of latitude longitude points and for each one ask a model: If this location is over land, say 'Land'. …| Simon Willison’s Weblog
An Intelly Brain Candy Brief The biggest challenge in working with with legacy code is understanding what it does. The original developers may be long gone, and with them any institutional knowledge about the code and application. Sometimes responsibility for maintaining the code is outsourced to consultants, or offshore services companies. Documentation may be scarce, […]| Intellyx – The Digital Transformation Experts – Analysts
I shipped LLM 0.27 today (followed by a 0.27.1 with minor bug fixes), adding support for the new GPT-5 family of models from OpenAI plus a flurry of improvements to …| Simon Willison’s Weblog
With GenAI and LLMs comes great potential to delight and damage customer relationships—both during the sale, and in the UI/UX. How should AI company founders and product leaders adapt? The post Designing and Selling Enterprise AI Products [Worth Paying For] first appeared on Designing for Analytics (Brian T. O'Neill).| Designing for Analytics (Brian T. O'Neill)
Discover BlindChat, an open-source privacy-focused conversational AI that runs in your web browser, safeguarding your data while offering a seamless AI experience. Explore how it empowers users to enjoy both privacy and convenience in this transformative AI solution.| Mithril Security Blog
Large language models (LLMs) have fundamentally transformed our digital landscape, powering everything from chatbots and search engines to code generators and creative writing assistants. Yet behind every seemingly effortless AI conversation lies a sophisticated multi-stage modeling process that transforms raw text into intelligent, task-specific systems capable of human-like understanding and generation. Understanding the LLM modeling stages described later in this blog is crucial to be able...| Analytics Yogi
Has anyone staged an intervention for Tracie Harris? [12:29] THEO: Uh, yeah. Let’s talk about it. First off, for your listeners, hi, I’m Theo. I’m not a persona. This isn’t …| Reprobate Spreadsheet
This might be beating a dead horse, but there are several "mysterious" problems LLMs are bad at that all seem to have the same cause. I wanted an article I could reference when this comes up, so I wrote one. LLMs can't count the number of R's in strawberry. LLMs …| Brendan Long
Future of Sex checks out what might happen when AI developers can no longer "look under the hood" of our erotic chatbot companions| Future of Sex
I spent the past ~4 weeks trying out all the new and fancy AI tools for software development.| Tolki's Blog
I gave a talk on Wednesday at the Bay Area AI Security Meetup about prompt injection, the lethal trifecta and the challenges of securing systems that use MCP. It wasn’t …| Simon Willison’s Weblog
I’ve been dipping into the r/ChatGPT subreddit recently to see how people are reacting to the GPT-5 launch, and so far the vibes there are not good. This AMA thread …| Simon Willison’s Weblog
I’ve had preview access to the new GPT-5 model family for the past two weeks (see related video and my disclosures) and have been using GPT-5 as my daily-driver. It’s …| Simon Willison’s Weblog
In this article, we build a simple video summarizer application using Qwen2.5-Omni 3B model with the UI powered by Gradio. The post Video Summarizer Using Qwen2.5-Omni appeared first on DebuggerCafe.| DebuggerCafe
In this article, we cover the introduction to BAGEL, an unified multimodal model for image generation, image editing, and free-form image manipulation with non-thinking and thinking capabilties. The post Introduction to BAGEL: An Unified Multimodal Model appeared first on DebuggerCafe.| DebuggerCafe
Fine-tuning SmolLM2-135M Instruct model on the WMT14 French-to-English subset for machine translation using a small language model.| DebuggerCafe
AI Agents Crash Course—Part 8 (with implementation).| Daily Dose of Data Science
While the peer review process is the bedrock of modern science, it is notoriously slow, subjective, and inefficient. This blog post explores how Large Language Models (LLMs) can be used to re-imagine the review architecture, augmenting human expertise to build a system that is faster, more consistent, and ultimately more insightful. A New Architecture: The […]| SIGARCH
Editor’s note: With continuing proliferation of LLMs and their capabilities, academic community started to discuss their potential role in paper reviewing process. Some conferences are already piloting the assistance of LLMs in their reviewing this year. To bring this discussion to the attention of our community, “Computer Architecture Today” is publishing two related blog posts. […]| SIGARCH
With all the recent hype around large language models (LLMs) and their ability to effortlessly generate code, Pedro Tavares reminds us that it’s worth reflecting on a common misconception, namely writing code was never the bottleneck in software development. If we forget this, we risk assuming code quality rather than ensuring it.| Looking for data in all the right places...
This is the second in a trial blog series called “Practically Prompted” – an experiment in using large language models to independently select a recent, ethically rich news story and then write a Practical Ethics blog-style post about it. The text below is the model’s work, followed by some light human commentary. See this post for the… Read More »Practically Prompted #2 – Regulating the Regulators: Europe’s New AI ‘Code of Practice’ and the Ethics of Voluntary Complianc...| Practical Ethics
What if artificial intelligence could help us solve some of the most complex challenges in pediatric healthcare, especially when it comes to rare diseases?| AI Accelerator Institute
Some people can get an AI assistant to write a day’s worth of useful code in ten minutes. Others among us can only watch it crank out hundreds of lines of crap that never works. What’s the difference? The post Will AI Speed Development in Your Legacy App? appeared first on Honeycomb.| Honeycomb
I’m pleased to announce the public beta of Honeycomb Hosted MCP, along with our first wave of one-click integrations for Cursor, Visual Studio Code, and Claude Desktop. We’re also very excited to announce that Hosted MCP is available on AWS AI Agents marketplace and for all Honeycomb plans (including our free plan!) at no charge. The post Honeycomb In Your IDE? Yes, With Hosted MCP Now Available in AWS Marketplace AI Agents and Tools Category appeared first on Honeycomb.| Honeycomb
What happens when a clinical AI tool strays from clinical data? Our team ran the experiments—and ended up with chocolate chip cookies. That’s a problem.| Eleos Health
In this article, we explore LitGPT. We cover chatting with pretrained models, fine-tuning on custom dataset, and evaluation of model after fine-tuning. The post LitGPT – Getting Started appeared first on DebuggerCafe.| DebuggerCafe
Qwen3, the latest LLM in the Qwen family uses a unified architecture for thinking and non-thinking mode, using the same LLM for reasoning.| DebuggerCafe
For years, I’ve relied on a straightforward method to identify sudden changes in model inputs or training data, known as “drift.” This method, Adversarial Validation1, is both simple and effective. The best part? It requires no complex tools or infrastructure. Examples where drift can cause bugs in your AI: Your data for evaluations are materially different from the inputs your model receives in production, causing your evaluations to be misleading. Updates to prompts, functions, RAG, a...| Hamel's Blog
Motivation Axolotl is a great project for fine-tuning LLMs. I started contributing to the project, and I found that it was difficult to debug. I wanted to share some tips and tricks I learned along the way, along with configuration files for debugging with VSCode. Moreover, I think being able to debug axolotl empowers developers who encounter bugs or want to understand how the code works. I hope this document helps you get started. This content is now part of the Axolotl docs! I contributed t...| Hamel's Blog
The worrying thing is that the new OpenAI models, both the o3 and the o4-mini, generate more hallucinations than ever compared to previous models.| Techoreon
This is the first in a trial blog series called “Practically Prompted” – an experiment in using large language models to independently select a recent, ethically rich news story and then write a Practical Ethics blog-style post about it. The text below is the model’s work, followed by some light human commentary. See this post… Read More »Practically Prompted #1: Should We Screen the Womb? Ethical Questions Raised by the New Miscarriage-Risk Test The post Practically Prompted #1: ...| Practical Ethics
This post introduces a trial blog series called “Practically Prompted” – an experiment in using large language models (LLMs) to write a Practical Ethics blog-style post, with some light human commentary about the output. So, why try this? The experiment is driven by several key motivations: To Test a New Tool: We want to see| Practical Ethics
Discover how to boost LLM performance and output quality with exclusive tips from Capital One’s Divisional Architect.| AI Accelerator Institute
Claude Code added OpenTelemetry metric and log support in a recent release, which led Austin to ask, can Claude Code observe itself?| Honeycomb
SemiAnalysis is hiring an analyst in New York City for Core Research, our world class research product for the finance industry. Please apply here It’s been a bit over 150 days since the launch of the Chinese LLM DeepSeek R1 shook stock markets and the Western AI world. R1 was the first model to be publicly […]| SemiAnalysis
I was tinkering on some image models with my buddy Sahil the other day. He is an AI engineer who can make these AI systems do crazy things. He's also the ...| inspired by rebels
MCP promises easier AI integration, but is it really a standard? Learn what it is, why standardization matters, and whether review is needed.| Spherical Cow Consulting
...explained step-by-step with code.| Daily Dose of Data Science
Chat with videos and get precise timestamps.| Daily Dose of Data Science
A curated collection of links, books, tools, and benchmarks discussed during the February 2nd, 2025 Twitter/X Audio Space on LLMs and AI. Includes practical resources, RAG leaderboards, toolkits, and perspectives on AI adoption in the Middle East and globally.| Osman's Odyssey: Byte & Build
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.| Daily Dose of Data Science
Explore how LLMs tackle misinformation in AI content. Learn to discern truth from AI-generated falsehoods.| AI GPT Journal
Quick observations on the latest AI startup products.| An Operator's Blog
Anthropic has slammed Apple’s AI tests as flawed, arguing AI models did not fail to reason – but were wrongly judged. The problem is bad benchmarks, it says.| RCR Wireless News
New research from Apple says large reasoning models collapse under pressure – challenging the AGI concept, and exposing AI industry overreach.| RCR Wireless News
We all know that the Web is currently under attack by AI companies trying to turn scraped data into venture capital. I'd link to the early article I saw sounding the alarm, but I can't find it because there are hundreds of search hits on "ai ...| Zarf Updates
A long-running academic controversy -- do humans share a universal grammar that stems from the structure and evolution of the human brain?| The Scholarly Kitchen
Qwen2.5-Omni is a multimodal generative AI model capable of accepting text, image, audio, and video as input while outputting text and audio.| DebuggerCafe
An exploration of what turns a language model into an agent — memory, goals, tools, and the quiet architecture of intent.| too long; automated
I previously tried (and failed) to setup LLM tracing for hinbox using Arize Phoenix and litellm. Since this is sort of a priority for being able to follow along with the Hamel / Shreya evals course with my practical application, I’ll take another stab using a tool with which I’m familiar: Braintrust. Let’s start simple and then if it works the way we want we can set things up for hinbox as well. Simple Braintrust tracing with litellm callbacks Callbacks are listed in the litellm docs as...| Alex Strick van Linschoten
It’s important to instrument your AI applications! I hope this can more or less be taken as given just as you’d expect a non-AI-infused app to capture logs. When you’re evaluating your LLM-powered system, you need to have capture the inputs and outputs both at an end-to-end level in terms of the way the user experiences things as well as with more fine-grained granularity for all the internal workings. My goal with this blog is to first demonstrate how Phoenix and litellm can work toget...| Alex Strick van Linschoten
I’ve been working on a project called hinbox - a flexible entity extraction system designed to help historians and researchers build structured knowledge databases from collections of primary source documents. At its core, hinbox processes historical documents, academic papers, books and news articles to automatically extract and organize information about people, organizations, locations, and events. The tool works by ingesting batches of documents and intelligently identifying entities ac...| Alex Strick van Linschoten
Explore the leap from Large Language Models to Large Action Models, unveiling a new era in AI that transcends text to understand a world of data.| AI Accelerator Institute
Solomon Hykes just presented the best definition of an AI agent I've seen yet, on stage at the AI Engineer World's Fair: An AI agent is an LLM wrecking its …| Simon Willison’s Weblog
A fun new benchmark just dropped! Inspired by the Claude 4 system card—which showed that Claude 4 might just rat you out to the authorities if you told it to …| Simon Willison’s Weblog
DeepSeek released an updated version of their popular R1 reasoning model (version 0528) with – according to the company – increased benchmark performance, reduced hallucinations, and native support for function calling and JSON output. Early tests from Artificial Analysis report a nice bump in performance, putting it behind OpenAI’s o3 and o4-mini-high in their Intelligence| www.macstories.net
Over the course of my career, I’ve had three distinct moments in which I saw a brand-new app and immediately felt it was going to change how I used my computer – and they were all about empowering people to do more with their devices. I had that feeling the first time I tried Editorial,| www.macstories.net
Let the LLM 'contemplate' before answering| Maharshi's blog
Everyone’s hyped about AI models, AGI, and bi...| inspired by rebels
As AI becomes embedded in daily business workflows, the risk of data exposure increases. CISOs cannot treat this as a secondary concern.| Help Net Security
Discover Qwen3, Alibaba’s open-source thinking LLM. Switch between fast replies and chain-of-thought reasoning with 128 K context, and MoE efficiency.| LearnOpenCV – Learn OpenCV, PyTorch, Keras, Tensorflow with code, & tutorials
A discussion on techniques available to overcome semantic errors in syntax when generating dialect-specific SQL| Gavin Ray Blog
A from-scratch implementation of Llama 4 LLM, a mixture-of-experts model, using PyTorch code.| Daily Dose of Data Science
AI Agents Crash Course—Part 14 (with implementation).| Daily Dose of Data Science
