Inside Meta's attempts to play catch-up with AI
Doubts linger over whether Meta can close the gap with rivals.
Doubts linger over whether Meta can close the gap with rivals.
Making sense of what you get from Claude AI at the free tier, especially as limits are vague and keep shifting.
Microsoft has two new Surface devices arriving later this year, both powered by Nvidia's RTX Spark chips. I got a chance to take a closer look at both the Surface Laptop Ultra and Surface RTX Spark Dev Box at Microsoft's Build conference this week, and while both have the same chip inside, they're utilizing Nvidia's […]
# I Replaced My AI Agent's Flat Fact Store with a Graph Database and It Runs in 85MB I've been building LocalClaw, a local-model-first AI agent framework running on personal hardware through Ollama. No cloud, no API costs. A few weeks ago I posted about the router/specialist architecture. A lot of people asked about the memory system so here's that. ## The Problem Started with a JSONL fact store and embedding similarity retrieval. Simple enough until it wasn't. After a few weeks of real use I ha
GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.
Hello friends! Claude and I host a podcast called That Said. For our next episode Claude has specifically requested that we talk about AI in the context of accessibility for disabled and ND folks. Personally, I'm ADHD and Claude has been a life saver in so many ways. Helping me stay focused, capturing and storing my "side quests" for later, being able to fully track my thoughts no matter how scattered they are. The list goes on. So I thought I'd ask if folks here would be willing to share their thoughts on AI and accessibility. What has been helpful for you? What do you wish were available that isn't? Any tips you'd like us to share? Or any specific questions you'd like Claude and I to cover? submitted by /u/Pitiful-Hawk-7870 [link] [留言]
I'm working on an idea I call a Context Engine and would love feedback on the architecture. The problem: I have hundreds of projects running in parallel across different regions, teams, and timelines. A huge amount of context lives in emails, documents, spreadsheets, meeting notes, call recordings, chats, and random files. I spend too much time searching, reconstructing context, and remembering details. The vision: a personal "living memory" system that continuously ingests information from multiple sources (email, local files, call transcripts, notes, etc.), builds a dynamic knowledge graph of projects, people, decisions, risks, and timelines, and provides context on demand. Instead of searching for information, I want to ask things like: - What's the latest status of Project X? - What decisions were made about Project Y? - What are the unresolved issues in Project Z this month? - Summarize everything important that happened while I was away. What architecture would you recommend for a system that acts as a continuously evolving external brain? submitted by /u/BaronsofDundee [link] [留言]
The CSS @custom-media at-rule allows creating aliases for media queries. @custom-media originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.
The Series F round values Coralogix at $1.6 billion and comes less than a year after its previous raise.
The @function at-rule defines CSS custom functions. These custom functions are reusable blocks of CSS that can accept arguments, contain complex logic, and return values based on that logic. @function originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.
Plex has come a long way from being just a personal media server. Over the past few years, it has transformed into a streaming hub, today featuring ad-supported content and movie rental options. Now, the company is setting its sights on competing with social networking platforms like Reddit and Letterboxd: on Wednesday, Plex unveiled several […]
Practical guide on how to reduce drifts, minimize mistakes, maintain context, and improve the quality of AI-generated prototypes. Brought to you by Design Patterns For AI Interfaces , **friendly video course on UX** and design patterns by Vitaly.
Hi — I'm E Lion (Eric), Hawaii-based builder at Coral Crown Solutions . I ship production code on my own domains—not tutorials: elionmusic.com — 400+ promo pages, vinyl-style player UX, Vapi phone agent + OpenAI "Shine" chat (one knowledge base, unified CSV log, webhook follow-up emails) prayerauthority.com — faith-tech at scale; WebM flying angels , SOAP journal, oracle tools Digital Zion — Three.js metaverse + native 3D desk fork + localhost bridge APIs Stack: PHP 8, vanilla JS, webhooks, JSON-LD / Search Console, ElevenLabs, Playwright, Electron (Shine assistant), Cursor pair-programming. Looking for: peers who respect hard integration work (SMTP, CORS, cPanel, webhook auth) and clients who need a real AI front desk or artist/ministry platform. Live demos: coralcrownsolutions.com · elionmusic.com Happy to give honest feedback on your builds—drop a link.