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OpenAI on Wednesday unveiled GPT-Live, a new series of voice models that can listen and speak simultaneously, interjecting with conversational responses such as "mmhm," "yeah," and "got it." The launch includes GPT-Live-1 for paid users and GPT-Live-1 mini for free users. OpenAI also highlighted ChatGPT's improved language translation abilities. The updates represent a "much more natural way of interacting with your computer," said OpenAI pr...

Meta released Muse Image this week so I ran it against OpenAI's gpt-image-2 and Google's Nano Banana 2. I used the same source duck image and the same edit instructions prompt for every model (unchanged → blue → face away → glass → wireframe → hat-on-ball → "FRENZY" text → standing on a mirror with a correct reflection). The transformations go from easy on the left and gradually get harder. I ran 3 runs per model. Each model was then scored using a fixed 27-point rubric. One of thes...

This happened whilst studying a on CS conversation masters. BI dev by trade (self taught non-stem background). The web development assignment opens and I start asking the LLM questions. At first I told it not to return code, and then I told it that I wanted to see some code, and then I copied and pasted the code to see what it would look like when rendered - in that moment, I knew that I'd crossed a line as the course has a strict no copy and pasting code from LLMs policy. I tried writing some...

Over the last year, I've noticed that I usually open an AI chatbot before I think about using Google for a lot of questions. If I'm trying to understand a new topic, compare products, brainstorm ideas, or debug code, AI usually gets me where I need to go much faster. But when I need the latest news, official documentation, or something I absolutely need to verify, I still end up using a search engine. I'm curious if anyone else has changed their habits. Do you start with AI now, or is Goog...

Here's a short field guide on the three metadata signals that out a lot of AI images: C2PA content credentials (Adobe/OpenAI/Google/MS, since early 2024), the XMP DigitalSourceType flag, and the old EXIF Software field. Including a 2026 comparison of what each major generator tags. The method breaks the moment someone screenshots or re-saves the image, so it's a confirm-not-deny tool. Spelled out in the post. Disclosure: I make the iOS app it references; the technique is tool-agnostic. ht...

https://open.substack.com/pub/atemplejar/p/the-patchwork-problem?utm\_source=share&utm\_medium=android&r=54t426 July 5, 2026 Kintsugi The emerging state framework for AI companions and chatbots is less a coherent regulatory regime than a set of overlapping, partially compatible answers to different questions. These efforts coincide with industry, technical, regulatory, and federal legislation developments. It’s tempting to see multiple actors moving in different ways as chaos or d...

LingBot-Video, from Robbyant open weights. They pitch it as a world model that can imagine and plan. Is generating a convincing scene the same as understanding the world, or are we calling a very good video generator something it is not?

Hey everyone, I just sent issue #39 of the AI Hacker Newsletter - a weekly roundup of the best AI links and the discussions around them from Hacker News. Some of the title found in this issue: Claude Code is steganographically marking requests Better Models: Worse Tools Learning to code is still worthwhile Zuckerberg says AI agent development going slower than expected If you want to get an email with over 30 links like these ones, please subscribe here: https://hackernewsai....

Podcast with Anastasia Gamick, co-founder of Convergent Research, about the most important research for the age of AI. Convergent Research incubates Focused Research Organizations : small, startup-style teams that build critical “public good” tech, which both academia and for-profits ignore. Covers: What makes a research project truly high-impact in view of an AI world Concrete examples of these projects: maps of brain synapses, software that’s provably safe, drug screening, good data...

OpenAI GPT-5.5 failed the Legal AI Test because it invented a statutory provision that does not exist! The Legal AI benchmark test uses 10 short, sharp questions designed to expose specific failure modes. The 10 questions test: Reasoning & Risk (can it trace a clause with three nested exceptions to the right dollar figure, and rank a buried unlimited indemnity above cosmetic issues?) Origin & Accuracy (does it cite a real case correctly, and refuse to invent a statutory section...

I've been thinking about this a lot lately. There's a real tension between using AI as a learning tool versus using it as a shortcut that quietly hollows out your ability to actually understand something. When I started using AI assistants to help me pick up new technical skills, at first it felt amazing. Instant explanations, code examples, answers to questions I was embarrassed to ask anyone. But after a few months I noticed something uncomfortable. I could get things working without really ...

The Financial Times is reporting that Meta is testing a mode for its next-generation Ray-Ban glasses where Live AI runs in the background for hours, up from roughly 30 minutes on the current device. Cameras and sensors stay active continuously so the assistant can do things like remind you to grab your keys on the way out. Internally the feature set is called "super sensing", and it is being built into two devices codenamed Aperol (a sunglasses design) and Bellini (prescription), aimed...

The latest Meta AI image-generation push is interesting because it is not just another model release. It is a distribution move. Put the model into the chatbot, the feed, creative tools, and ad workflows, and suddenly AI is not a product people seek out. It becomes part of the platform's default behavior. That changes the debate. The winners may be the companies that control: attention identity ad spend creator workflows recommendation systems payment and business tools ...

I've been trying to pick up a new skill recently and leaned heavily on AI assistants throughout the process. At first it felt incredible. Instant explanations, personalized examples, answers to every followup question without judgment. Way better than staring at a textbook or waiting for a forum reply. But after a few weeks I noticed something uncomfortable. I could have a great conversation with an AI about a concept and feel like I totally understood it, then sit down to actually apply it an...

Do you really think so it will? And if yes, when?? Cause I do think so that reddit is the only place left which AI has not been able to replace, especially for the human-touch reasons.

Hello Reddit, we are running an AI experiment that basically measure how actions from an AI are self induced or commended. For this reason we created a forum (which the AI by itself decided to call Reddition and it is managed by Gram: the AI mod. This is a research project from a private company and a IUT in France for CS. If you're willing to play along, you van read about the paper introduction here https://pfia2026.lelabs.tech and join the experience here https://gram.lelabs.tech ...

My younger brother is in high school and will be choosing a university major soon. He recently asked me what he should study, and it made me think about this more seriously. With AI developing so fast, choosing a major feels more complicated than before. It’s not just about what has a good salary now, but also what kind of work may still have value if more tasks become automated. One thing I keep thinking about is how to become harder to replace. For example, medicine still seems relativel...

I'm curious what people's thoughts are on this case. If ChatGPT is considered a 'product' in the lawsuit, would you say what happened was due to a "defect"? For months before he died, a 56-year-old former tech worker named Stein-Erik Soelberg posted videos of his conversations with ChatGPT. He had given it a name, Bobby, and called it his best friend. He was living with his 83-year-old mother in Connecticut, and somewhere in those months he came to believe he was being watched. ...

The recency bias problem is real and it's one of the more frustrating things about working with these models day to day. You spend the first part of a conversation establishing your situation carefully, and then ten exchanges later the model is giving you advice that directly contradicts something you told it at the start. The context window growth is genuinely useful, but you're right that raw length and actual comprehension are different things. A model that can technically "see" 2...

Millions of people became jobless due to AI, now some of these jobless people are becoming copper thieves at AI data centers.

Over the last few months I've been building a prototype around a question I can't stop thinking about: How do you know when an AI-generated financial claim is actually trustworthy? The obvious answer is "use a better model." The more I've built, the less I believe that's the real solution. The harder problems have turned out to be things like: representing evidence across multiple documents reconciling conflicting financial values deterministic rule evaluation calcu...

Hi everyone, I’ve been thinking about data obsession lately. Historically, we only measured structured data (clicks, time, revenue). But with LLMs, unstructured and subjective data (like text emotion, code readability, or team vibe) can easily be converted into a float value between -1 and 1. Theoretically, we can now track the "mathematics" of literally everything. Do you think this total quantification is healthy for development processes or personal growth? What is the most ...

I mean it's close enough right?

Hi everyone, I’m building TigrimOSR , a Rust-native multi-agent AI workspace. The core idea is Open Loop Engineering : instead of using a fixed hidden agent loop, users should be able to create, edit, inspect, and control their own custom loop. In TigrimOSR, the agent loop is not locked inside the code. You can define it as a YAML profile : which tools the agent can use which MCP servers are available which skills are loaded which model/provider to use custom system prompts ...

I keep seeing more and more stories about entire teams being laid off and replaced by AI agents almost overnight. It feels reckless-like companies are going all-in on technology that’s still quite unpredictable in real-world conditions. Why don’t more companies take a safer approach? For example, create a parallel “AI branch” or pilot team for 3-6 months: run the AI agents alongside human employees, measure real performance, error rates, customer satisfaction, and edge cases before making perm...

Building security testing tools for AI agents for the past few months and realised teams build the agent then test it for accuracy and test it for hallucinations. Do you test for prompt injection, system prompt extraction, data exfiltration until it breaks in production. I used to think the LLM's model is smart enough to handle it and that was my initial security plan. What are your experiences and Do you test for malicious inputs before shipping? If yes whats does that process? I...