Google removes AI model after it allegedly accused a senator of sexual assault - Engadget
<a href="https://news.google.com/rss/articles/CBMivgFBVV95cUxQNW5TVjAwNmwtd0gzV196c202aEpLMzhham5XLUZna19WTmlnTFd4RktYZkxpNDZKdEJuOTlfU0JRck1NQTdHbVRhWmdHY3ROSWZSMjJsVjRkZTQzSlJXVUIybk9mNWs3QTRLall4NnR5dm1rUm9INVdtVTZjcEFXdUxEZU5mOGVhRVdESkZZQ29KQ05yOVVLSHgxSnNTaUhYUVdYcDZMeUFGT0FKTVRTR0JVUm9abW8tMWxvbjh3?oc=5" target="_blank">Google removes AI model after it allegedly accused a senator of sexual assault</a> <font color="#6f6f6f">Engadget</font>
Could not retrieve the full article text.
Read on GNews AI Gemma →Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
modelBlind `npm install` Execution Risks Security Vulnerabilities: Review Lockfiles to Mitigate Threats
<p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fk3labo0gsfmuphb69nbt.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fk3labo0gsfmuphb69nbt.png" alt="cover" width="800" height="420"></a></p> <h2> Introduction: The Silent Threat in npm Install </h2> <p>The recent attack on the npm ecosystem didn’t target security engineers meticulously reviewing lockfiles. It targeted the rest of us—developers who type <code>npm install</code> and move on, trusting the process implicitly. This blind executi
Why Your AI Solves the Wrong Problem (And How Intent Engineering Fixes It)
<p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fiztcnc9vfessx2zlhm72.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fiztcnc9vfessx2zlhm72.png" alt="Banner" width="800" height="533"></a></p> <p><strong>TL;DR</strong><br> AI systems don't usually fail because the model is wrong. They fail because the system solved the wrong problem correctly.</p> <p><strong>Intent engineering</strong> is the layer that closes the gap between what you say and what you actually mean. It ensures the system is
I Created a SQL Injection Challenge… And AI Failed to Catch the Biggest Security Flaw 💥
<p>I recently designed a simple SQL challenge.</p> <p>Nothing fancy. Just a login system:</p> <p>Username<br> Password<br> Basic query validation</p> <p>Seemed straightforward, right?</p> <p>So I decided to test it with AI.</p> <p>I gave the same problem to multiple models.</p> <p>Each one confidently generated a solution.<br> Each one looked clean.<br> Each one worked.</p> <p>But there was one problem.</p> <p>🚨 Every single solution was vulnerable to SQL Injection.</p> <p>Here’s what happened:</p> <p>Most models generated queries like:</p> <p>SELECT * FROM users <br> WHERE username = 'input' AND password = 'input';</p> <p>Looks fine at first glance.</p> <p>But no parameterization.<br> No input sanitization.<br> No prepared statements.</p> <p>Which means…</p> <p>A simple input like:</p> <
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models
I Created a SQL Injection Challenge… And AI Failed to Catch the Biggest Security Flaw 💥
<p>I recently designed a simple SQL challenge.</p> <p>Nothing fancy. Just a login system:</p> <p>Username<br> Password<br> Basic query validation</p> <p>Seemed straightforward, right?</p> <p>So I decided to test it with AI.</p> <p>I gave the same problem to multiple models.</p> <p>Each one confidently generated a solution.<br> Each one looked clean.<br> Each one worked.</p> <p>But there was one problem.</p> <p>🚨 Every single solution was vulnerable to SQL Injection.</p> <p>Here’s what happened:</p> <p>Most models generated queries like:</p> <p>SELECT * FROM users <br> WHERE username = 'input' AND password = 'input';</p> <p>Looks fine at first glance.</p> <p>But no parameterization.<br> No input sanitization.<br> No prepared statements.</p> <p>Which means…</p> <p>A simple input like:</p> <
From one model to seven — what it took to make TurboQuant model-portable
<p>A KV cache compression plugin that only works on one model is a demo, not a tool. turboquant-vllm v1.0.0 shipped four days ago with one validated architecture: Molmo2. v1.3.0 validates seven — Llama 3.1, Mistral 7B, Qwen2.5, Phi-3-mini, Phi-4, Gemma-2, and Gemma-3. The path between those two points was more interesting than the destination.</p> <h2> What Changed </h2> <p><strong>Fused paged kernels (v1.2.0).</strong> The original architecture decompressed KV cache from TQ4 to FP16 in HBM, then ran standard attention on the result. The new fused kernel reads compressed blocks directly from vLLM's page table, decompresses in SRAM, and computes attention in a single pass. HBM traffic: 1,160 → 136 bytes per token.<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight pyth
8 Gemini AI Prompts That Turn Ordinary Photos Into Professional Portraits
These eight Google Gemini AI prompts transform ordinary photos into polished portraits for LinkedIn, personal branding, family photos, and more. The post 8 Gemini AI Prompts That Turn Ordinary Photos Into Professional Portraits appeared first on TechRepublic .
Anthropic teams with Australian government to review AI model safety - NewsBytes
<a href="https://news.google.com/rss/articles/CBMitgFBVV95cUxNeEJMNFVqS09nX290b1pLb0t6bHRydkFxZkYzRHpabEtPTGpJdm50RGdBVUtnSnpoYW1VdjlBMERTQnMyZURUeEZTcmhKSmdNWjBOd0NYU1ZBY1ZjU1piSElxNEt0MDdYbzhGNWVNckdEek1jeW1oNTAyT1Zhd0pEbE1HU3BMZWFicnpLekFJVFFOUXQwQThsRWFsaDRpYmdmR1dRN3lqOG9ld0pIZzJuamlUZTNNUQ?oc=5" target="_blank">Anthropic teams with Australian government to review AI model safety</a> <font color="#6f6f6f">NewsBytes</font>
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!