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A single piece of infrastructure has been pulling records out of Salesforce and ServiceNow customer portals across multiple industries for more than a year, according to research published this week by agent security platform Reco. The activity, which Reco has named the City Forum campaign after a domain tied to the attacker's IP address, traces back to one server: 158.220.87.79, hosted on a

OpenAI insisted this was not in response to a particular issue with children believing ChatGPT to be alive.

OpenAI is introducing a dedicated ChatGPT mode for teenagers, combining existing youth safeguards and new safety features under one roof. The launch comes amid mounting public scrutiny over how AI tools affect younger users, as other platforms implement their own age checks and teen-specific protections. ChatGPT for Teens is "an experience designed to help teens […]

OpenAI and CodeAI are partnering to help students build AI literacy, think critically about AI, and develop the skills to use and shape it responsibly.

OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.

ChatGPT for Teens helps teens learn, think critically, and use AI with confidence, with stronger built-in protections, healthy-use features, and additional controls for parents.

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I have been thinking a lot about AI and integrity. Part of that is contextual integrity. I recently found two papers on the topic. “ CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs “: Abstract: Large Language Models (LLMs) increasingly use persistent memory from past interactions to enhance personalization and task performance. However, this memory introduces critical risks when sensitive information is revealed in inappropriate contexts. We present CI

Proton’s CEO is a champion of encryption for everyone. So why is he going all in on un-encryptable AI?

Struggling to create consistent content across platforms without a creative team? Want to build an AI-powered system in Claude that drafts threads, newsletters, video scripts, and carousels from a single source? In this article, you'll discover how to build an AI creative director using Claude that transforms voice journaling into multiple forms of content that […] The post Building an AI Creative Director: From Ideas to Finished Content With Claude appeared first on Social Media Examiner .

Trial will test whether small route and altitude tweaks can reduce aviation's warming impact

A new UK trial hopes to reduce the condensation trails from planes, which can trap heat in the Earth's atmosphere.

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1vrk7t5/trained_an_diffusion_model_that_runs_on_264kb_of/"> <img src="https://preview.redd.it/8vzcg2x7q3kh1.png?width=140&height=140&auto=webp&s=7a1fb828642c6ddfa5211c2a6f942764e68a21cb" alt="Trained an diffusion model that runs on 264KB of RAM [P]" title="Trained an diffusion model that runs on 264KB of RAM [P]" /> </a> </td><td> <!-- SC_OFF --><div class="md"><p>I recently bought a <a href="https://store.vicharak.in/?p

Attributing diffusion model output to a specific input becomes more difficult with more training data

Z.ai’s latest AI model release could help companies secure their systems—or find its way into the hands of hackers.

The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chips they run on. Forecasts of explosive AI progress predict that what researchers call recursive self-improvement is on the horizon. …

Asana used OpenAI Codex to replace an outdated testing system in two weeks, completing work expected to take five years for about $12K.

$10 million buys over 100 million emails, 30 million recorded phone calls, reams of stuff from Teams, Oracle, and SAP

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Monday added a critical flaw impacting Ray to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation. Ray is an open-source, Python-native distributed computing framework designed to scale artificial intelligence and machine learning workloads. As of writing, the GitHub project has more than

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<pre style='white-space:pre-wrap;width:81ex'>improve(ui): align chat branch and PR rows (#125232) * improve(ui): align chat branch and PR rows * improve(ui): collapse absent PR number slot * improve(ui): give Create PR a neutral chip surface * improve(ui): rebalance merged PR row contrast * improve(ui): use standard squircle for PR rows * fix(ui): consolidate static PR link styling</pre>

<pre style='white-space:pre-wrap;width:81ex'>feat(voice-call): let realtime agents end calls (#125525)</pre>

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<p>I started building xAgent in April 2025.</p> <p>The original idea was straightforward: build a task-oriented Agent that could run work on its own and turn AI into real automation. Looking back, that sentence sounds simple. Most of what I have done over the past year has been filling in everything hidden inside the words “run work on its own.”</p> <p>The first version used a single Agent. I quickly ran into a problem: once the prompt focused its attention on one kind of work, the Agent could d

<p>I spent a while getting permission levels right. What an agent may read, what it may write, what needs a human. That work was worth doing, and it did not save me here.</p> <p>The gap is simple to state and easy to miss: permission levels answer <em>what may this agent do</em>. They say nothing about <em>what happens when the task itself changes after the agent already has permission</em>.</p> <h2> The situation </h2> <p>When work is handed to an agent, the handoff carries a task definition, a

<p>I’ve been building a side project called <strong>OopsCalorie</strong>, an AI-powered calorie and meal tracking app.</p> <p>The idea sounded simple enough:</p> <ol> <li>User logs or takes a photo of their food.</li> <li>AI identifies the meal.</li> <li>Estimate calories and macros.</li> <li>Save the entry.</li> <li>Done.</li> </ol> <p>Simple, right?</p> <p>Well...</p> <p>Then we started testing it with Filipino food. 😂</p> <h2> AI Meets Filipino Food 🇵🇭 </h2> <p>One of the funniest parts of

<p>SpaceXAI recently introduced Grok Bot, an always-on AI-agent service designed to work more like an autonomous teammate.</p> <p>The agents have their own cloud computer environment and can log into applications, websites and tools to perform multi-step tasks. They can also operate in parallel and coordinate with other agents.</p> <p>The product is entering a market that already includes competing agentic workplace products from OpenAI, Anthropic and Microsoft.</p> <p>Traditional chatbot:<br> <

<pre style='white-space:pre-wrap;width:81ex'>refactor(agents): unify exec approval wait outcomes (#125524) * refactor(agents): unify exec approval wait outcomes * docs(plan): record approval wait cleanup</pre>

<p>AI agents can only use tools as reliably as those tools are described.</p> <p>That’s why I built <a href="https://toolready.dev" rel="noopener noreferrer">ToolReady AI</a>—a free tool that reviews MCP and AI-agent tool schemas, identifies reliability problems, and recommends specific fixes.</p> <p>A function might work perfectly when a developer calls it directly, yet still fail when an agent has to decide when to call it, which arguments to provide, and what values are safe. In many cases, t

<p>Last quarter, we ran our production voice AI receptionist — Loquent — across four different TTS engines simultaneously, split-testing real patient calls at dental and healthcare clinics. The results surprised us: the most "natural sounding" engine in demos performed the worst with actual patients.</p> <h2> Why We Ran This Test </h2> <p>At Autor, we've been running Loquent in production for over a year now. It handles thousands of automated calls per month for healthcare and dental clinics acr

A comprehensive Svelte 5 component library that handles the complexity, so you can focus on building great products. Optimized for AI code generation and mobile-first design. Comments URL: https://news.ycombinator.com/item?id=49340621 Points: 1 # Comments: 0

<pre style='white-space:pre-wrap;width:81ex'>fix(openai): prevent realtime barge-in truncation errors (#125502) * fix(openai): clamp realtime barge-in truncation Clamp OpenAI Realtime barge-in truncation to the audio duration produced for each assistant item. This prevents interruption failures observed live when 3,700 ms of decoded audio was paired with a 3,760 ms transport-clock timestamp. * fix(openai): propagate PCM sideband audio format The browser sideband negotiated PCM16, but its bridge

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A few weeks ago I posted my solo browser projects and since I have received lots of messages asking the download link. I was a bit reluctant to release it since it's not at a stable level yet. However I finally decided to just put it out there as a pre-alpha since so many emails I have received. So now you can grab this pre-alpha from https://code.intellios.ai/cwbrowser/ Note: Expect bugs, missing features, and crashes. Plenty of the web will render imperfectly or not at all. This is an early lo

Building autonomous AI agents that mutate production state requires moving beyond soft system prompts to a robust zero-trust architecture. To secure Google Agent Development Kit (ADK) workflows against prompt injections and malicious execution, developers must implement hardware-backed cryptographic signatures for database writes, kernel-level sandboxing with gVisor for dynamic code, and deterministic semantic gateways for I/O validation. By enforcing these hard security boundaries at the infras

HeyGen ported their 18B+ parameter Avatar IV video generation model to Google Cloud's Trillium (v6e) TPUs via torchax and XLA, utilizing FSDP and Ulysses sequence parallelism across an eight-chip mesh. To achieve a 1.86x speedup for real-time streaming, the engineering team pipelined exposed all-to-all collectives, aligned sparse attention block sizes to eliminate mask padding, and bypassed softmax serial dependencies using a precomputed Cauchy-Schwarz upper bound. These custom Pallas kernel and

Boeing quietly joins FOSS hypervisor crew, as AMD and Renesas lead new effort to comply with formal standards

Things got weird. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

New software releases? Who cares. Learning new CS concepts? Whatever. Studying for the next interview? Job probably won't even exist in a year. Working on that side project? No one will care because it's just another addition to the mountain of slop, and the guy bagging your groceries can do it. Everything is done and cooked with AI now. It's exactly like that feeling once you enable cheats in a game; sure you can do anything, but everything is meaningless now. Our entire purpose and joy in life

Article URL: https://getcogni.io/ Comments URL: https://news.ycombinator.com/item?id=49339547 Points: 2 # Comments: 0