Latest Tech News

Stay updated with the latest in technology, AI, cybersecurity, and more

Filtered by: text Clear Filter

Do Large Language Models Dream of AI Agents?

During sleep, the human brain sorts through different memories, consolidating important ones while discarding those that don’t matter. What if AI could do the same? Bilt, a company that offers local shopping and restaurant deals to renters, recently deployed several million agents with the hopes of doing just that. Bilt uses technology from a startup called Letta that allows agents to learn from previous conversations and share memories with one another. Using a process called “sleeptime compu

Fast and observable background job processing for .NET

BusyBee 🐝💨 Fast and observable background job processing for .NET BusyBee is a high-performance .NET background processing library built on native channels. It provides a simple, configurable, and observable solution for handling background tasks with built-in OpenTelemetry support and flexible queue management. Installation dotnet add package BusyBee Quick Start Register BusyBee in your DI container and start processing background jobs: // Program.cs builder . Services . AddBusyBee ( ) ;

How to Think About GPUs

We love TPUs at Google, but GPUs are great too. This chapter takes a deep dive into the world of NVIDIA GPUs – how each chip works, how they’re networked together, and what that means for LLMs, especially compared to TPUs. This section builds on Chapter 2 and Chapter 5 , so you are encouraged to read them first. What Is a GPU? A modern ML GPU (e.g. H100, B200) is basically a bunch of compute cores that specialize in matrix multiplication (called Streaming Multiprocessors or SMs) connected to a

How to Scale Your Model: How to Think About GPUs

We love TPUs at Google, but GPUs are great too. This chapter takes a deep dive into the world of NVIDIA GPUs – how each chip works, how they’re networked together, and what that means for LLMs, especially compared to TPUs. This section builds on Chapter 2 and Chapter 5 , so you are encouraged to read them first. What Is a GPU? A modern ML GPU (e.g. H100, B200) is basically a bunch of compute cores that specialize in matrix multiplication (called Streaming Multiprocessors or SMs) connected to a

Qwen-Image Edit gives Photoshop a run for its money with AI-powered text-to-image edits that work in seconds

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Adobe Photoshop is among the most recognizable pieces of software ever created, used by more than 90% of the world’s creative professionals, according to Photutorial. So the fact that a new open source AI model — Qwen-Image Edit, released yesterday by Chinese e-commerce giant Alibaba’s Qwen Team of AI researchers — is now able to accomplis

CRDT: Text Buffer

← Back to the algorithm list Published on May 19th, 2024 Collaboratively editing strings of text is a common desire in peer-to-peer applications. For example, a note-taking app might represent each document as a single collaboratively-edited string of text. The algorithm presented here is one way to do this. It comes from a family of algorithms called CRDTs, which I will not describe here. It's similar to the approaches taken by popular collaborative text editing libraries such as Yjs and Auto

Left to Right Programming

2025-08-17 Left to Right Programming Programs Should Be Valid as They Are Typed I don’t like Python’s list comprehensions: text = "apple banana cherry dog emu fox" words_on_lines = [ line . split ( ) for line in text . splitlines ( ) ] Don’t get me wrong, declarative programming is good. However, this syntax has poor ergonomics. Your editor can’t help you out as you write it. To see what I mean, lets walk through typing this code. words_on_lines = [ l Ideally, your editor would be to aut

Left to Right Programming: Programs Should Be Valid as They Are Typed

2025-08-17 Left to Right Programming Programs Should Be Valid as They Are Typed I don’t like Python’s list comprehensions: text = "apple banana cherry dog emu fox" words_on_lines = [ line . split ( ) for line in text . splitlines ( ) ] Don’t get me wrong, declarative programming is good. However, this syntax has poor ergonomics. Your editor can’t help you out as you write it. To see what I mean, lets walk through typing this code. words_on_lines = [ l Ideally, your editor would be to aut

You can delete sent text messages on Android now - here's how

Elyse Betters Picaro / ZDNET ZDNET's key takeaways Google Messages now lets you delete a sent text message. A deleted message disappears for the other person immediately. The feature is available now for almost all Android users. Get more in-depth ZDNET tech coverage: Add us as a preferred Google source on Chrome and Chromium browsers. Android users finally have an undo option. A long-awaited feature that lets you delete a sent text message is widely rolling out to most Android devices --

Walkie-Textie Wireless Communicator

Walkie-Textie Wireless Communicator The Walkie-Textie is a simple handheld device with a 12-key keypad and OLED display that allows you to send and receive text messages using the LoRa wireless protocol. It's ideal for situations where there's no mobile signal, such as when you're camping or hiking in a remote area, when you don't want the cost of a mobile network, or for children to have fun without running up a bill: The Walkie-Textie is a handheld device that allows you to send text message

Fun with Finite State Transducers

ENOSUCHBLOG Programming, philosophy, pedaling. Aug 14, 2025 Tags: devblog, programming, rust, zizmor I recently solved an interesting problem inside zizmor with a type of state machine/automaton I hadn’t used before: a finite state transducer (FST). This is just a quick write-up of the problem and how I solved it. It doesn’t go particularly deep into the data structures themselves. For more information on FSTs themselves, I strongly recommend burntsushi’s article on transducers (which is wha

Show HN: OverType – A Markdown WYSIWYG editor that's just a textarea

Hi HN! I got so frustrated with modern WYSIWYG editors that I started to play around with building my own. The problem I had was simple: I wanted a low-tech way to type styled text, but I didn't want to load a complex 500KB library, especially if I was going to initialize it dozens of times on the same page. Markdown in a plain <textarea> was the best alternative to a full WYSIWYG, but its main drawback is how ugly it looks without any formatting. I can handle it, but my clients certainly can'

We Hit 100% GPU Utilization–and Then Made It 3× Faster by Not Using It

We recently used Qwen3-Embedding-0.6B to embed millions of text documents while sustaining near-100% GPU utilization the whole way. That’s usually the gold standard that machine learning engineers aim for… but here’s the twist: in the time it took to write this blog post, we found a way to make the same workload 3× faster, and it didn’t involve maxing out GPU utilization at all. That story’s for another post, but first, here’s the recipe that got us to near-100%. The workload Here at the Daft

Teaching the model: Designing LLM feedback loops that get smarter over time

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) have dazzled with their ability to reason, generate and automate, but what separates a compelling demo from a lasting product isn’t just the model’s initial performance. It’s how well the system learns from real users. Feedback loops are the missing layer in most AI deployments. As LLMs are integrated into ever

Model intelligence is no longer the constraint for automation

The perception is that model improvement seems to be stagnating. GPT-5 wasn’t the step change that people were expecting. Yet, models continue to improve on reasoning benchmarks. Recently, both OpenAI and Google models were on par with gold medallists in the International Mathematical Olympiad 2025 (IMO). At the same time it’s still difficult to make AI agents work for relatively simple enterprise use cases. Why is there such a disparity in model performance between problem domains? Why are mode

TextKit 2 – The Promised Land

TextKit 2 (NSTextLayoutManager) API was announced publicly during WWDC21, which is over 4 years ago. Before that, it was in private development for a few years and gained widespread adoption in the macOS and iOS frameworks. Promised an easier, faster, overall better API and text layout engine that replaces the aged TextKit 1 (NSLayoutManager) engine. Over the years, I gained some level of expertise in TextKit 2 and macOS/iOS text processing, which resulted in STTextView - a re-implementation of

Launch HN: Embedder (YC S25) – Claude code for embedded software

Hey HN - We’re Bob and Ethan from Embedder ( https://embedder.dev ), a hardware-aware AI coding agent that can write firmware and test it on physical hardware. Here’s a demo in which we integrate a magnetometer for the Pebble 2 smartwatch: https://www.youtube.com/watch?v=WOpAfeiFQkQ We were frustrated by the gap between coding agents and the realities of writing firmware. We'd ask Cursor to, say, write an I2C driver for a new sensor on an STM32, and it would confidently spit out code that used

Launch HN: Embedder (YC S25) – Claude Code for Embedded Software

Hey HN - We’re Bob and Ethan from Embedder ( https://embedder.dev ), a hardware-aware AI coding agent that can write firmware and test it on physical hardware. Here’s a demo in which we integrate a magnetometer for the Pebble 2 smartwatch: https://www.youtube.com/watch?v=WOpAfeiFQkQ We were frustrated by the gap between coding agents and the realities of writing firmware. We'd ask Cursor to, say, write an I2C driver for a new sensor on an STM32, and it would confidently spit out code that used

The beauty of a text only webpage

The beauty of a text only webpage 2025-08-15 There's something I love about opening a text-only webpage. They're a refuge from the GDPR cookie banners, the trashy ads, the email opt-ins, and the god-forsaken auto-play video. A text-only webpage is clean. It's readable. It's fast and it's simple. The page is just made of text, so it's infinitely reproducible. You can paste the whole thing into an email to a friend. You can put it in ChatGPT to ask questions. Hell—you can post the whole thi

Gemini’s getting a nice usability upgrade for its text responses (Updated)

Rita El Khoury / Android Authority TL;DR Google is working on an easier process for sharing text responses from Gemini. The new workflow can be initiated by double tapping or dragging to select specific text, and users can bypass the “Select text” option. However, this new method won’t work on text in a list, only the text before or after it. Update, August 14, 2025 (10:42 AM ET): After first identifying Google’s work towards bringing Gemini a greatly improved interface for text sharing a fe

Print, a one-line BASIC program

10 PRINT CHR$(205.5+RND(1)); : GOTO 10 Nick Montfort, Patsy Baudoin, John Bell, Ian Bogost Jeremy Douglass, Mark C. Marino, Michael Mateas Casey Reas, Mark Sample, and Noah Vawter 10 PRINT is a book about a one-line Commodore 64 BASIC program, published in November 2012. We’ve updated this page in late 2022:Book purchases support the nonprofit organizations The Electronic Literature Organization (to which all royalties are being donated) and The MIT Press , the book's publisher. This book

Topics: 10 64 book commodore text

Google Gemini will now learn from your chats—unless you tell it not to

As Gemini is increasingly woven into the fabric of Google, the way the chatbot accesses and interacts with your data is in a constant state of flux. Today, Google is announcing several big changes to how its AI adapts to you, giving it the ability to remember more details about your chats for improved answers. If that's a concern, Google also has a new temporary chat option that won't affect the way Gemini thinks about you. You might recall several months back when Google added a "personalizati

Got a weird security text from T-Mobile? It’s genuine, but you’re right to worry

Edgar Cervantes / Android Authority TL;DR T-Mobile is sending users an SMS asking them to update their PIN, email, and security questions. Subscribers are rightly worried about the legitimacy of the text that includes a clickable link. While the text is very much from T-Mobile, it’s making users uneasy thanks to text scams that have become so common these days. Many T-Mobile customers are reporting that they’ve received a text message asking them to update their PIN, email, and security ques

Claude gets 1M tokens support via API to take on Gemini 2.5 Pro

Claude Sonnet 4 has been upgraded, and it can now remember up to 1 million tokens of context, but only when it's used via API. This could change in the future. This is 5x more than the previous limit. It also means that Claude now supports remembering over 75,000 lines of code, or even hundreds of documents in a single session. Previously, you were required to submit details to Claude in small chunks, but that also meant Claude would forget the context as it hit the limit. With up to a 1 milli

Claude Sonnet 4 now supports 1M tokens of context

Claude Sonnet 4 now supports up to 1 million tokens of context on the Anthropic API—a 5x increase that lets you process entire codebases with over 75,000 lines of code or dozens of research papers in a single request. Long context support for Sonnet 4 is now in public beta on the Anthropic API and in Amazon Bedrock, with Google Cloud’s Vertex AI coming soon. Longer context, more use cases With longer context, developers can run more comprehensive and data-intensive use cases with Claude, incl

You can now feed Claude Sonnet 4 entire codebases at once

Following OpenAI’s big week filled with open models and GPT-5, Anthropic is on a streak of its own with AI announcements. Bigger prompts, bigger possibilities The company today revealed that Claude Sonnet 4 now supports up to 1 million tokens of context in the Anthropic API — a five-fold increase over the previous limit. This expanded “long context” capability allows developers to feed far larger datasets into Claude in a single request. Anthropic says the 1M-token window can handle entire

Anthropic just made its latest move in the AI coding wars

is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in CNBC, MIT Technology Review, Wired UK, and other outlets. Posts from this author will be added to your daily email digest and your homepage feed. The AI coding wars are heating up. One of the main battlegrounds? “Context windows,” or an AI model’s working memory — the amount of text it can take into account when it’s coming up with an answer. On that front, Anthropic just gained some

Claude Sonnet's memory gets a big boost with 1M tokens of context

Sabrina Ortiz/ZDNET ZDNET's key takeaways Claude Sonnet 4 now has one million context tokens. As a result, the model can process much larger developer tasks. Developers can access it now, but API pricing does increase for certain requests. We all have that friend who is a great active listener and can recall details from past interactions, which then feeds into better conversations in the future. Similarly, AI models have context windows that impact how much content they can reference -- an

I tested this new AI podcast tool to see if it can beat NotebookLM - here's how it did

Speechify The Speechify text-to-speech app enables its over 50 million users worldwide to convert any text, including documents, articles, PDFs, and images into audio, with over 200 voices to choose from. Now, the company is delving into a new type of audio: AI-generated podcasts. Also: I finally gave NotebookLM my full attention - and it really is a total game changer Starting today, Speechify users will be able to turn any content into a "lecture-style" podcast. They'll also get access to a

Claude can now process entire software projects in single request, Anthropic says

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Anthropic announced Tuesday that its Claude Sonnet 4 artificial intelligence model can now process up to 1 million tokens of context in a single request — a fivefold increase that allows developers to analyze entire software projects or dozens of research papers without breaking them into smaller chunks. The expansion, available now in pub