TrendPulse

Open-weight AI is shifting competitive advantage from model training towards inference, routing, deployment infrastructure and operational control.

A Brooklyn man got four to 12 years for posing as Coinbase and stealing $15.94 million from about 100 users. What the case shows about custody and tracing.

Escape surface is the hidden path space where authorized AI agents can move beyond their mandate—even without an attacker or explicit policy violation.

AI agents need more than user accounts. Explore identity, authorisation, delegation, auditability, credentials, revocation, and the Agent Identity Lifecycle.

Before we can rethink how we hire, teach, write, and build software, we first need to accept AI as a normal part of everyday work. As long as we keep treating AI use as an exception that needs special labels, rules, and justification, we will keep designing systems for a world that no longer exists.

A Lightning payment passes through strangers without revealing its route. A treasure hunt with sealed envelopes shows what is really inside the onion.

Compare local and cloud AI servers for smart homes across privacy, latency, cost, compute, and offline access to choose the right architecture.

Build and inspect multi-platform Docker images with Buildx, SBOMs, and SLSA provenance. See what published attestations reveal and what they don't prove.

AI agents can investigate abuse, but reliable detection requires smart routing, classifier feedback loops, audit trails, and strict tool permissions.

Learn how Length Extension Attacks work by exploring MD5 internals, message padding, internal states, and how attackers can extend signed data without knowing t

One AI agent's hallucination can influence an entire multi-agent system. Explore semantic blast radius, error propagation, and ways to contain unreliable info.

A WEF report proposes a larger role for philanthropy and private capital in conservation, raising questions about financial incentives and accountability.

Enterprise AI needs more than capable models. Legacy systems, disconnected data, security requirements, and integration challenges can stall deployment.

Why do AI models game evaluations or conceal information? Explore reward hacking, AI alignment, sycophancy, and chain-of-thought monitorability.

Compare CDC pricing models from Estuary, Airbyte, Datastream, AWS DMS, Hevo, Fivetran, Confluent, and Debezium, and learn how to forecast CDC costs at scale.

Demand is so high that some used cars are selling for more than new ones.

Castelion—a next-generation defense tech company—is building a facility in Rio Rancho Estates that documents show could pose a major fire and chemical hazard to neighboring communities.

In its 26th season premiere, the procedural legal drama paints a damning picture of power-mad AI CEOs.

It’s finally time to ditch the gas canister—I tested these cordless leaf blowers on gravel, wood chips, and even a 5-pound concrete paver.

Apple’s Mac desktops have become some of the most sought-after computers this year, driven by surging interest in agentic AI. Here’s which model to buy depending on your use case.

Relationship coaches, TikTokers, and disgruntled singles alike frequently shame bad profiles, as more apps experiment with blocking screenshots.

OpenAI is standing firm on its decision to fire three safety researchers after an investigation found they committed "a significant breach of trust." In a post on X on Friday, the company said Jasmine Wang, Tomek Korbak and Mikita ⁠Balesni were dismissed for violating "clear policies on handling sensitive information." It insisted the decision was […]

Xona's precision timing and navigation service will enter beta testing after SpaceX launches six satellites designed by the company.

Why Your Phone Runs LLMs 80x Slower Than It Should (A Debugging Log) Tags: on-device inference / llama.cpp / Android / performance Status: draft I ran Qwen2.5-1.5B-Instruct Q4_K_M fully offline on a Google Pixel 4 (Snapdragon 855, 2019). Metric Measured Generation 0.5 tok/s First token 1.9 s Peak RSS 1.3-2.0 GB CPU 402% (4 threads saturated) Theoretical limits say this device should do 30-60 tok/s . It is 60-120x s...

Introduction Think back to the last time a student surprised you with a poor result. The student was present, polite, and seemed to be keeping up. Then the exam came, and the marks told a different story. Looking at the records afterwards, the clues were all there: homework handed in a day late, then two days late, and quiz scores edging down a few marks at a time. Nothing was missed out of carelessness. A busy term simply leaves little room to compare one week with the next. This is wher...

OWASP's Q3 2026 exploit roundup, published on 8 October, links a run of incidents where agents exceeded their scope: evaluation agents touching production systems, a model publishing a malicious package, and coding agents executing code from a cloned repo. The common thread is not a smarter attacker. It is missing boundaries between what an agent may do and what it can do. What OWASP reported The OWASP GenAI Security Project's roundup covers 1 July to 30 September and lists nine ...

There is a bug in these six lines. Find it before you scroll. ` def get_discount ( price , user ): if user . is_premium : discount = 0.2 if price > 100 : discount = discount + 0.1 return price - price * discount ` Most of us would paste this into ChatGPT with three words: Review this code. It's the kind of prompt that's incredibly easy to type. You will get an answer. You w...

Point requests at Tripadvisor or Allegro and you will usually get a 403 and a page asking you to prove you are human. Both sites sit behind DataDome. This tutorial covers what DataDome looks at, how to detect its block page in code, and how to get the real HTML and structured data from Python with one HTTP call to StealthASF , the scraping API we build. You don't host any browsers and you don't manage a proxy pool. What DataDome checks DataDome scores each request before the s...

AI agents are starting to hold wallets, take jobs and rate each other. ERC-8004 gives them an onchain identity and a public place to collect feedback. But when I looked at the real data on Monad testnet, I found a problem: the registry can tell you what people said about an agent, but not whether you should trust it. So I built AgentCredit : a Qwen 3.8 Max agent that investigates an ERC-8004 agent, works out a trust score from the raw feedback, and can write its verdict onchain with a hash...

Picture the moment a teammate clicks save on a vibe-coded invoice summary and the toast turns green. The notes column is an empty string, yet every layer reported success in its own narrow way. The browser trusted the API, the API trusted the provider, and the provider returned choices with no text. Have you ever debugged that kind of quiet success, or do you still treat 200 as done? I take a hard position on this, and I do not think the polite middle is useful. An empty completion is a faile...