Get ahead of the agentic AI shift. Learn what WebMCP is, how it differs from traditional MCP, and how to implement simple HTML or JavaScript tools to prepare your website for the agentic search.
Why most agents are just flowcharts in disguise, and what to build instead. The post Is Agentic AI Just Automation? appeared first on Towards Data Science .
Cybersecurity researchers have disclosed details of a phishing-as-a-service (PhaaS) platform built to strip Apple's Activation Lock from stolen devices, using rented AI voice agents that call theft victims posing as Apple Support and ask for their device passcode. SOCRadar Threat Research Unit (STRU) said the platform, which it tracks as AnonyMousKIT, is credit-metered and drives lures across
Everything you need to know about creating a draft on our Contributor Portal The post How to Format Your TDS Draft: A New and Improved Guide appeared first on Towards Data Science .
OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.
Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.
Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that drive shipped tool-calling agents re-run this stage on a daily or weekly cadence, paying the frontier-teacher cost each cycle, yet the mechanism is generate-and-filter (keep the teacher’s passing trajectories, discard the rest) and each cycle leaves behind the same hard scenarios because failures supply no signal. On τ
Recent advancements in large language models have intensified the need for efficient and deployable models within limited inference budgets. Structured pruning pipelines have shown promise in token efficiency compared to training target-size models from scratch. In this paper, we advocate incorporating enlarged model pretraining, which is often ignored in previous works, into pruning. We study the enlarge-and-prune pipeline as an integrated system to address two critical questions: whether it is
Muse Image from Meta Superintelligence Labs is now available on AI Gateway. It is their first image model and a separate family from Muse Spark, returning images rather than text. Send a prompt and get an image back, or send an image with an instruction and get it changed. One model does both, so you don't switch models to move from generating to editing. To use Muse Image, set model to meta/muse-image-1.0 and call generateImage from the AI SDK : To steer the result toward art you already have,
The Vercel Security Dashboard is now generally available on all plans, giving you one place to see your security posture across every account and project. You can access the Security Dashboard in the UI or run vercel security check in the Vercel CLI. As teams grow and coding agents make it faster to spin up projects, small misconfigurations add up quietly. The Security Dashboard automatically flags issues like: Team members without 2FA Long-lived credentials that can be replaced with OIDC Public
Gemini 3.5 Transcribe from Google is now available on AI Gateway for recorded and live audio: google/gemini-3.5-transcribe transcribes a complete audio file in one request. google/gemini-3.5-transcribe-live transcribes audio over a WebSocket and returns text as the audio arrives. Both models automatically detect more than 85 languages, including when a speaker switches languages. You can also provide custom vocabulary to improve the transcription of names, technical terms, and uncommon spellings
The price of Bitcoin has risen in August but is still far below its peak almost a year ago - and companies are refitting their mines.
When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...
Co-authors: Lauren Koek and Valentina Curatella, FPF APAC Interns From July 20 to 24, 2026, the Future of Privacy Forum (FPF) participated in the inaugural Singapore Data Festival (SDF), hosted by Singapore’s Personal Data Protection Commission (PDPC) and Infocomm Media Development Authority (IMDA). Succeeding the PDPC’s annual Personal Data Protection Week, the SDF convened around […]
Human-Computer Interaction and Visualization
Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets your agent move from alert to trace to logs to root cause in one conversation, and how you can verify every step inline without leaving your IDE.
<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m researching how to design an AI agent for a medicine-reminder system. The agent has to decide, at each relevant time, whether to:</p> <ul> <li>send a reminder,</li> <li>wait (do nothing for now), or</li> <li>notify another person (e.g. caregiver),</li> </ul> <p>when it does <strong>not</strong> have complete information about the patient (has the dose already been taken? is the person nearby/attentive? are there adherence barriers? etc.).
We're excited to share some big news: We completely rebuilt the TDS website and our contributor portal. Whether you come here to read, to write, or both, here's what you can expect from our new site. The post A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal appeared first on Towards Data Science .
If you're responsible for turning data and AI strategy into enterprise reality, this is a conversation worth being part of.
On the 20th Anniversary, we recognize how AWS has continued to push the boundaries of what cloud computing can deliver, building custom silicon for general-purpose and AI workloads and expanding EC2 into new form factors and deployment models that our customers in 2006 could not have imagined.
Ask Claude to design the user journey not the UI Continue reading on UX Planet »
In August 2026, a team at MATS Research, the ELLIS Institute Tübingen, and the Max Planck Institute for Intelligent Systems wanted to test whether the encrypted reasoning blocks that Anthropic, OpenAI, and Google hand back to clients actually keep that reasoning private.
NVIDIA is bringing the next wave of RTX gaming to the Gamescom conference running this week in Cologne, Germany, with support for new games, anti-cheat technologies and increased visual quality. Electronic Arts, Embark and Ubisoft are among the latest game publishers and developers bringing their blockbuster titles to NVIDIA RTX Spark ahead of its launch […]
A fintech company rejected the easy route and homebrewed its own coding agent – and is now a step ahead of coding agents from frontier AI labs. An in-depth look
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and...
<p> Build agents that heal themselves. </p> <p> <a href="https://www.producthunt.com/products/airtop?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1232031?app_id=339">Link</a> </p>
Oasis Security has disclosed a weakness in NVIDIA NemoClaw that could let an attacker-controlled webpage take unauthenticated control of the local Ollama instance serving an AI agent and plant hidden instructions inside the model itself. The findings were shared with The Hacker News ahead of publication, and the report says Oasis Security reported them to NVIDIA's Product Security Incident
<!-- SC_OFF --><div class="md"><p>I am working on an evaluation design and would appreciate criticism before running it.</p> <p>Most coding-agent benchmarks collapse the model and its harness into one score. If a run fails, it is difficult to tell whether the cause was model capability, context assembly, task decomposition, tool design, retry policy, or the acceptance gate. A model can also look worse because the harness truncated its output, or look better because the gate only checked for plau
And it makes AI output more designer-friendly Continue reading on UX Planet »
Kimi Agent is a name that's come to cover a sprawling family, and untangling it matters before judging any piece of it.
In this article, you will learn how Gemma 4, Llama 3, and Mistral implement tool calling locally, and what trade-offs each model family presents for...
<p> Control Every AI Request </p> <p> <a href="https://www.producthunt.com/products/arbr?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1231840?app_id=339">Link</a> </p>
Vulnerability management has been a staple of security programs since the dawn of the cybersecurity discipline. The symbiotic relationship between vulnerability and patch management teams has also existed for that time and has gone through waves of contention and thankfulness. While this relationship required thoughtful care and feeding from both sides, both sides were aiming to work toward a
Andy Ellis has a roundup of the security vendors at Black Hat this year. Key Takeaways: We have entered into an AI world. While nearly half of booths didn’t directly mention AI or agents in their taglines, the effects of AI are everywhere. Multiple spaces (Identity, SaaS, AppSec, Data) have almost every vendor leading with AI; existing unsolved problem areas just got worse. At the same time, there’s a clear trichotomy in the market: tools that tell you how bad things are; tools that stop adversa
Article URL: https://www.bbc.com/future/article/20260824-this-quantum-battery-charges-faster-the-larger-it-gets Comments URL: https://news.ycombinator.com/item?id=49431560 Points: 26 # Comments: 18
What moving a Dockerized pipeline off my laptop taught me about containers, networking, and hidden assumptions. The post I Deployed My Data Pipeline to AWS. Then Everything That Was “Local” Broke. appeared first on Towards Data Science .
This article is brought to you by Ollobot . From about 2017, individuals began to truly connect with the initial wave of companion robots. These devices had personality, moved around, joked, and answered when you spoke to them. Most early companion robots, however, were still limited by simple voice-command interactions and narrow functionality. Once the novelty wore off, many ended up sitting unused on shelves. As some of those companies went out of business and turned off their servers, many o
Want to move beyond basic AI prompting and build AI employees that actually run parts of your business? Wondering how to train AI to match your standards and schedule it to work autonomously? In this article, you'll discover how to build, train, and schedule AI employees that take manual work off your plate and free […] The post How to Build AI Employees to Get Work Off Your Plate appeared first on Social Media Examiner .
