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If you are having a hard time with agentic engineering, stop, and think about whether normal software engineering is also tough for your company. Slapping AI on a dysfunctional system, be it people or software, will not fix your problems. Since 1975 we've known that adding more people to late projects makes them later. Adding a fake person is no better.

WWDC always brings a torrent of new content, details, and platform-wide changes. One of the first things I noticed after installing the macOS Golden Gate beta was the updated icon design. The colours are much bolder, several icons have been adjusted, and the refraction in the Liquid Glass effect has changed significantly, especially in icons like Journal.

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om Bombadil is one of the greatest characters in the entire Lord of the Rings trilogy. He is the oldest being in Middle-earth, completely immune to the Ring’s power, and — unfortunately — overlooked by a huge swathe of readers.

Software brain is powerful stuff. It’s a way of thinking that basically created our modern world. Marc Andreessen, the literal embodiment of software brain, called it in 2011 when he wrote the piece “Why software is eating the world” as an op-ed in The Wall Street Journal. But software thinking has been turbocharged by AI in a way that I think helps explain the enormous gap between how excited the tech industry is about the technology and how regular people are growing to dislike it more and more over time.

THE NEW ATLANTIS

In 1627, a year after the death of the philosopher and statesman Francis Bacon, a short, evocative tale of his was published. The New Atlantis describes how a ship blown off course arrives at an unknown island called Bensalem. At its heart stands Salomon’s House, an institution devoted to “the knowledge of causes, and secret motions of things” and to “the effecting of all things possible.” The novel captured Bacon’s vision of a science built on skepticism and empiricism and his belief that understanding and creating were one and the same pursuit.

Google’s Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google’s terms. The company’s Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it’s dumping the custom Gemma license.

Cloudflare Wrangler is the official command-line interface (CLI) tool designed for building, managing, and deploying applications on Cloudflare’s developer platform. Think of it as the main bridge between your local development environment and Cloudflare’s global network, letting you seamlessly interact with all of Cloudflare’s serverless products. As part of the broader Cloudflare Workers SDK, Wrangler works hand-in-hand with create-cloudflare (C3) project scaffolding tool and Miniflare local simulator to create a complete and efficient development toolchain.

Running large language models (LLMs) locally has often meant accepting slower speeds and tighter memory limits. Ollama’s latest update, built on Apple’s MLX framework, goes some way toward easing those constraints – especially for developers running AI agents directly on their machines.

Though the project’s stated 5-GW scale is the largest among its peers, it’s just one of several dozen similar projects now underway. According to Michael Guckes, chief economist at construction-software company ConstructConnect, spending on data centers topped US $27 billion by July of 2025 and, once the full-year figures are tallied, will easily exceed $60 billion. Hyperion alone accounts for about a quarter of that.

By converting 13.8-kV AC grid power directly to 800 V DC at the data center perimeter, most intermediate conversion steps are eliminated. This reduces the number of fans and power-supply units, and leads to higher system reliability, lower heat dissipation, improved energy efficiency, and a smaller equipment footprint.

March 24 (Reuters) - On Monday evening, Walt Disney Co (DIS.N), opens new tab and OpenAI teams ​were working together on a project linked to Sora, OpenAI's AI video tool. Just 30 minutes after that meeting, the Disney ‌team was blindsided with word that OpenAI was dropping the tool altogether, a person familiar with the matter said.

Most people who regularly use AI tools would say they’re making their lives easier. The technology promises to streamline and take over tasks both professionally and personally—whether that’s summarizing documents, drafting deliverables, generating code, or even offering emotional support. But researchers are concerned AI is making some tasks too easy, and that this will come with unexpected costs.

Cloudflare Workers

Three months ago, the tech industry was unaware of a lobster-themed AI coding project built by an under-the-radar Austrian software developer.

By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.

Nvidia CEO Jensen Huang is making a calculated bet that might surprise the tech world - embracing open-source AI not as a gift to developers, but as a survival strategy. According to a new CNBC column, the GPU giant's shift toward openness signals something deeper: the company's traditional hardware moat is under siege, and Huang knows it. The move marks a pivotal moment for the $2 trillion chip maker as competitors circle and customers grow restless.

NVIDIA released a series of open models to advance science, including Nemotron for agentic AI, BioNemo for biomedical applications & Cosmos for physical AI

OpenScholar

All the world's research, connected and open.

For several decades now, the most innovative software has always emerged from the world of open source software. It’s no different with machine learning and large language models. If anything, the open source ecosystem has grown richer and more complex, because now there are open source models to complement the open source code.

LosslessCut aims to be the ultimate cross platform FFmpeg GUI for extremely fast and lossless operations on video, audio, subtitle and other related media files. The main feature is lossless trimming and cutting of video and audio files, which is great for saving space by rough-cutting your large video files taken from a video camera, GoPro, drone, etc. It lets you quickly extract the good parts from your videos and discard many gigabytes of data without doing a slow re-encode and thereby losing quality. There are also many more use cases. Everything is extremely fast because it does an almost direct data copy, fueled by the awesome FFmpeg which does all the grunt work.

Artificial intelligence (AI) is the buzzword today with AI-based applications demonstrating great performance, speed, and accuracy. Their deployment is widespread in domains like healthcare, finance, retail, automotive, manufacturing, logistics, education, agriculture, telecom, travel, insurance, etc (the list includes almost every major field of work).

Ollama is the easiest way to get up and running with large language models such as gpt-oss, Gemma 3, DeepSeek-R1, Qwen3 and more.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It is built around universal standards, supporting Ollama and OpenAI-compatible Protocols (specifically Chat Completions). This protocol-first approach makes it a powerful, provider-agnostic AI deployment solution for both local and cloud-based models.

Google's aggressive artificial intelligence (AI) push has not slowed down in 2026. The company has already announced a partnership with Apple, released new shopping tools and a protocol, introduced Personal Intelligence in Gemini and added the chatbot to its Trends website. Now, the company has shifted its focus towards the open community with the release of TranslateGemma models. These multilingual AI models are designed to support translation between a large number of languages across text and image (input only) modalities.

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.

Moves that are in the public domain - including: It's a Wonderful Life, Metropolis, All Quiet not he Western Front, The Gold Rush, A Streetcar Named Desire,

A large language model’s parameters are often said to be the dials and levers that control how it behaves. Think of a planet-size pinball machine that sends its balls pinging from one end to the other via billions of paddles and bumpers set just so. Tweak those settings and the balls will behave in a different way.

What is Ollama?

NeatoCal is a tiny JavaScript app that outputs a printable calendar with a full year on a single page. I love the view where all the weekends line up.

We aren’t just using these AI tools as assistant anymore; they’re fixing code bugs on their own, making full movies from a sentence, and staying focused for days without forgetting the plan. We went from having helpful assistants to creating actual digital coworkers in less than a year.

3,000,000+ Systems Tested and 5,700 + CPU Models

This chart made up of millions of PerformanceTest benchmark results and is updated daily with new graphics card benchmarks. This high end chart contains high performance video cards typically found in premium gaming PCs. Recently introduced AMD video cards and nVidia graphics cards using the PCI-Express (or PCI-E) standard are common in our high end video card charts.

NVIDIA today announced the NVIDIA Nemotron™ 3 family of open models, data and libraries designed to power transparent, efficient and specialized agentic AI development across industries.

Here you will quickly learn all about local LLM hardware, software & models to try out first. There are many reasons why one might try to get into local large language models. One is wanting to own a local and fully private, personal AI assistant. Another is a need for a capable roleplay companion or story writing helper. Whatever your goal is, this guide will walk you through the basics of local LLMs including hardware requirements, inference software options, and lightweight models to start with. Enjoy!

The real problem of humanity is the following: we have paleolithic emotions; medieval institutions; and god-like technology.

Almost every technological innovation of the past several years has been laser-focused on one thing: generative AI. Many of these supposedly revolutionary systems run on big, expensive servers in a data center somewhere, but at the same time, chipmakers are crowing about the power of the neural processing units (NPU) they have brought to consumer devices. Every few months, it’s the same thing: This new NPU is 30 or 40 percent faster than the last one. That’s supposed to let you do something important, but no one really gets around to explaining what that is.

SAN FRANCISCO (AP) — OpenAI CEO Sam Altman has set off a “code red” alert to employees to improve its flagship product, ChatGPT, and delay other product developments, according to The Wall Street Journal.

Micron is retiring the Crucial brand, marking the end of its line of budget-friendly solid-state drives (SSDs) and RAM kits, as reported earlier by VideoCardz. In an announcement on Wednesday, Micron says winding down its consumer-focused business will “improve supply and support for our larger, strategic customers in faster-growing segments” — a.k.a. AI companies.

Nike’s new “neuroscience-based footwear” is designed to activate an athlete’s brain before and after a big game. The two shoes, a mule (the $95 Mind 001) and a lace-up sneaker (the $145 Mind 002), feature a distinctive array of 22 orange foam nodes embedded in each sole. Nike says the nodes each move up and down independently, like “pistons and gimbals,” as the athlete walks, mimicking the feeling of walking on the ground in a way that is “scientifically shown” to stimulate the foot and thus activate the brain’s sensory areas.

Kiwix is an offline reader for online content like Wikipedia, Project Gutenberg, or TED Talks. It makes knowledge available to people with no or limited internet access. The software as well as the content is free to use for anyone.

TRANSFER YOUR PLAYLISTS AND FAVORITES

This is cool: Internet-in-a-Box. “Up to 32 users who are within about 100m of the hotspot can connect to the device and access or download the content that exists on the device: Wikipedia slices, medical knowledge, videos, and books.”

Fun & simple little browser game: Dodge This. “Move to dodge the bullets. How long can you survive?”

Parachute is a set-and-forget backup companion for iCloud Photos and iCloud Drive. It automatically syncs your memories—photos, videos, and documents—to your own storage, giving you peace of mind and full control.

Liu recommends that students use generative AI to write literature reviews, draft abstracts, generate charts, and organize thoughts. She’s created slides that lay out detailed examples of good and bad prompts, along with one core principle: AI can’t replace human judgment. “Only high-quality input and smart prompting can lead to good results,” she says.

Simple Notifications Pushover makes it easy to get real-time notifications on your Android, iPhone, iPad, and Desktop (Android Wear and Apple Watch, too!)

Send yourself native notifications from your apps and servers. Free to try, $5/month for unlimited.

My interest in file systems started when I discovered how type and creator codes1 and resource forks contributed to the fantastic user interface on my original Macintosh in 1984. In the late 1990s, when it looked like Apple might buy Be Inc. to solve its operating system problems, the Be File System was the part I was most excited about. When Apple bought NeXT instead and (eventually) created Mac OS X, I was extremely enthusiastic about the possibility of ZFS becoming the new file system for the Mac. But that didn’t happen either.

The last 48 hours have been a wild rollercoaster ride for AI hardware. On Tuesday, Google ended its I/O keynote — a roughly two-hour event with copious references to AI — with its vision for Android XR glasses. That included flashy partnerships with Gentle Monster and Warby Parker, as well as the first hands-on opportunity with its prototype glasses for the developers and the majority of tech media alike. On the ground, it was among the buzziest things to come out of Google I/O — a glimpse of what Big Tech thinks is the winning AI hardware formula.

Buy-now-pay-later company Klarna featured the AI version of CEO and co-founder Sebastian Siemiatkowski in an 83-second video about its Q1 2025 results, as reported by TechCrunch. The video’s description says that his “AI avatar” is presenting the results, and the AI avatar kicks off the video by saying that “it’s me, or rather, my AI avatar.”

In the late 1970s, a time when 8-bit processors were state of the art and CMOS was the underdog of semiconductor technology, engineers at AT&T’s Bell Labs took a bold leap into the future. They made a high-stakes bet to outpace IBM, Intel, andother competitors in chip performance by combining cutting-edge 3.5-micron CMOS fabrication with a novel 32-bit processor architecture.

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