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Ship AI that stays on-brand Discussion | Link

Donald Trump killed an executive order to regulate AI. Now, administration officials and AI executives are trying to figure out if there’s anything left to piece back together.

You don’t need expensive software for basic PDF tasks. In fact, all you need is a handful of free web-based apps.

submitted by /u/lilubba [link] [留言]

Screen recording studio for Windows Discussion | Link

Hello this might be weird but I am doing a study on society's view on AI as a school project. Therefore I am asking all kinds of communities and trying to get a very wide audience. This is clearly an AI sentric sub so hopefully his is relavent? I would be very happy if any of you would like to be a part of it! submitted by /u/Timely_Special_5011 [link] [留言]

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here. From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to…

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution. By Aaditya Chauhan

Ameer Al-Khatahtbeh was just trying to find an outlet for Muslim news. Now he has more than 12 million followers.

Discover new Codex plugins, sites, and annotations that help analysts, marketers, designers, investors, and other teams get more done with AI.

This is what production AI costs when nobody's watching. A 4-person team posted their Anthropic invoice. Agentic systems don't make just one API call per task. They read context, plan steps, call tools, hit errors, retry. Each step is a separate call to Opus at $25 per million output tokens. One user instruction can trigger 20+ calls before it's done. A lot of engineers have no idea what a single task costs end-to-end. - They don't know which prompts trigger the longest loops - They don't know how many silent retries are happening in the background - They can't tell which tasks could run on a smaller model without losing quality Frontier models are genuinely impressive. But agentic systems don't make one call.. they make dozens. Every single day. And most teams aren't watching the meter. If you're running agentic workloads in production, start tracking what individual tasks actually cost before your next invoice does it for you. submitted by /u/aipriyank [link] [留言]

Most AI tutorials start with a setup checklist. Pick a model provider. Create an account. Wire up a...

Frontend automation has been getting pretty wild lately. 🫠 A few months ago, this comparison would...

So basically Claude at 20 buck sub is not much better than free. Chatgpt. It is pretty much shit. Gemini. It seems to have some reductions to its abilities in the last couple of months as well. The 20 buck price range used to have lots of good ais. Now they are all limited, downgraded. What would be the king in this price range? I have found myself using gemini ai pro with other ais as free on the top of that. submitted by /u/aluode [link] [留言]

Hi, I'm prepare for a phd in the US in medical AI, so I want to improve listening and speaking skills. I warry about admission interview, and I like discuss research. I find male friends because I have a girlfriend. I don't want to make her worry. I find the friends online firstly. Please feel free to contact me. submitted by /u/CrazyIndependent7436 [link] [留言]

Amazon Prime members will be able to buy July 29 tickets for Spider-Man: Brand New Day.

A hands-on knowledge-distillation project: Qwen2-VL-7B → 2B for UI-screenshot understanding, trained, evaluated and benchmarked end-to-end on an M4 Pro. 2.4× faster — and why the teacher lost on ROUGE-L.

submitted by /u/CatCognition [link] [留言]

Security is not a feature you bolt on after launch. It is not the CISO's problem alone. It is not a checklist you run through before a compliance audit. It is a shared responsibility across every engineer, every team, every layer of the stack. This guide walks through the three layers where most web vulnerabilities live — Frontend , In Transit , and Backend — using a threat modeling lens: thinking like an attacker so you can build like a defender. What Is Threat Modeling? Before writing a single line of defensive code, you need to think systematically about your system's attack surface. Threat modeling is the process of: Identifying entry points — Where does untrusted data enter your system? Form inputs, URL parameters, uploaded files, third-party APIs? Assessing potential impact — If this entry point is exploited, what can an attacker access or do? Designing defenses proactively — Before the exploit occurs, not after. It shifts your mindset from "let's hope nothing breaks" to "let's assume something will be tried." Part 1 — Frontend Security: Stopping XSS What Is XSS? Cross-Site Scripting (XSS) happens when untrusted data is rendered as executable code in a browser. An attacker injects a script; your application runs it on behalf of your users. The consequences are severe: session hijacking, credential theft, defacement, redirects to malicious sites. There are three flavours: ┌─────────────────────────────────────────────────────────────────┐ │ XSS TYPES │ ├──────────────────┬──────────────────────────────────────────────┤ │ Stored XSS │ Malicious script saved in your DB, │ │ │ served to every user who loads that data. │ │ │ Most dangerous — persistent and broad. │ ├──────────────────┼──────────────────────────────────────────────┤ │ Reflected XSS │ Script lives in a URL parameter. │ │ │ Requires tricking the user into clicking │ │ │ a crafted link. Temporary, per-request. │ ├──────────────────┼──────────────────────────────────────────────┤ │ DOM-Based XSS │ Entir

If you write code for Adobe Commerce or Magento 2, you spend a lot of time waiting. Build times are slow, static content deployment takes forever, but the real time sink is documentation. The EAV architecture, nested XML layouts, and ever-changing GraphQL mutations mean you are constantly Alt-Tabbing to a browser to double check a syntax pattern. Every time you leave your IDE to search the Experience League portal, you lose your train of thought. You copy error codes, dig through unrelated search results, and try to find a working code snippet. It is exhausting. I wanted my coding assistant to just know this stuff without making me look it up. That is why I configured this MCP server. The adobe-commerce-docs-mcp package connects your IDE directly to the official Adobe documentation. It works with Cursor, Claude Desktop, VS Code, and Windsurf, pulling raw markdown docs right into your chat context. The architecture: bridging AI and docs Instead of relying on web search or stale training data, the server queries the live Adobe Experience League site. It indexes the content locally, caches pages, and handles queries via the MCP protocol. 1. BM25 search ranking The server parses the official Adobe sitemap and ranks pages using BM25 relevance scoring. This is the same search algorithm databases use to weigh search term frequency against document length. It means your assistant gets the most relevant setup guide first, not just the page that mentions a keyword the most. 2. Synonyms and fuzzy matching You do not have to query exact terminology. The search engine maps Magento specific synonyms: graphql searches also find pages with gql module searches also match extension cloud searches match ece It also corrects simple typos like chekout or catlog to checkout and catalog. 3. Local caching Network requests are slow, so the server uses two layers of caching: An in-memory cache for recent queries. A persistent file cache on your disk. Sitemap data lasts 24 hours, while downlo