AI 资讯
The Language of AI Could Change How Humans Speak
Because of the way they are trained, large language models capture only a slice of human language. They’re trained on the written word, from textbooks to social media posts, and our speech as captured in movies and on television. These models have minimal access to the unscripted conversations we have face to face or voice to voice. This is the vast majority of speech, and a vital component of human culture. There’s a risk to this. The increased use of large language models means we humans will encounter much more AI-generated text. We humans, in turn, will begin to adopt the linguistic patterns and behaviors of these models. This will affect not just how we communicate with one another, but also how we ...
AI 资讯
Series Week 24/52 — Cloud Migration: Finding Your Path in the Database Migration Minefield
{ Abhilash Kumar Bhattaram : Follow on LinkedIn } The Post-Migration Mirage For many Chief Technology Officers (CTOs), the successful cutover of a core database to the cloud feels like the ultimate victory lap. The data has landed, the connection strings are updated, and initial performance metrics look stellar. But there is a dangerous mirage that follows a cloud database migration: Hidden Downtime. Unlike an abrupt database crash, hidden downtime is a slow-burn operational decay. It happens when day-to-day transactions process smoothly in production, but the underlying database ecosystem—specifically the disaster recovery (DR) standby instances, secondary cross-region sites, and replication pipelines—quietly falls out of sync. When a true disruption occurs and you try to failover or scale, the database tier collapses. To ensure true, 24/7 predictability, forward-thinking CTOs look beyond the immediate "Go-Live" date. The ultimate challenge is navigating the dense maze of cloud onboarding options to find the exact database migration method that fits your specific application topology. Ground Zero: The Database Configuration Drift The root cause of post-migration database downtime begins long before cutover day, it starts with how the database is moved and how its configuration is maintained. Going to the cloud offers various technical pathways, but the overarching challenge is finding what fits your unique architecture. The initial migration must establish perfect baseline parity, but standard database operations and hasty migration choices quickly introduce fatal configuration drift. To manage this drift effectively, organizations must introduce rigorous baseline metrics before, during, and after the migration process: - Benchmarking Versions: Ensuring that source and target database patch levels, Timezone (TZ) files, and Release Updates (RUs) match exactly. Mismatched database versions between primary cloud instances and standby homes create silent dictionary inc
产品设计
One of Meta’s Offices Was Briefly Overtaken by a Rogue Squirrel
The animal escaped after apparently arriving inside a package at Meta's Bangkok office, injuring one employee before finally being caught.
科技前沿
Elon Musk says X will DM you about posts that receive a Community Note
The social platform wants its crowd-sourced corrections to be harder to ignore.
开发者
‘Slow-cial’ app Roost forces you to slow down to the speed of a carrier pigeon
This developer didn't expect his side project to grow to 300,000 users, but people love Roost because it's an alternative to an always-on, fast-paced online culture.
AI 资讯
Elon Musk says X will send DMs when posts you’ve engaged with are corrected
X plans to send users direct messages when posts they’ve liked, replied to, or reposted receive Community Notes, an update aimed at addressing criticism that the platform’s crowdsourced fact-checking system often arrives too late to curb misinformation.
科技前沿
TikTok users don't have as much agency over their FYPs as they think
The "not interested" feature is your friend, but users must intentionally and constantly curate their FYPs
AI 资讯
Meta wants its AI glasses to seem less creepy. Its AI strategy says otherwise.
Meta is adding a new safeguard to stop people from secretly recording others with its AI glasses. But the update comes as the company continues to expand how much personal data its AI products collect and use.
AI 资讯
Discord admits AI moderation bug wrongfully banned users over harmless images
The company confirmed that the issue had been affecting accounts since May, with an additional 200 users banned over the weekend before its team identified and fixed the problem.
AI 资讯
X says top accounts steal videos from other users as it announces new video tools
Nikita Bier, X's head of product, said in a post on Monday that "[m]any videos from top accounts are simply stolen from other users, sometimes 5 years after they originally went viral," while noting that videos on the platform "make up close to half the impressions on X." According to Bier, X is launching a […]
科技前沿
A bug in Discord's safety systems incorrectly banned accounts since May
A bug may have led to around 8,200 erroneous bans on Discord.
产品设计
The X app for iOS now has a built-in video editor
X now has a built-in video editor on iOS.
开源项目
X adds a video editor to encourage creators to post original content, not stolen reposts
X is rolling out a new video editor and recorder for iOS with multilingual captions, green-screen effects, and other editing tools.
AI 资讯
Discord accidentally banned over 8,000 people for posting grids and other ‘benign’ images
Discord says a bug affecting its safety system caused it to mistakenly ban more than 8,000 accounts since May. The platform's statement follows a wave of reports from users over the past week, who say they've been banned for posting images containing grids, such as chessboards, game textures, and even Minecraft inventories. Stanislav Vishnevskiy, Discord […]
产品设计
Meta is facing $1.4 trillion in state lawsuits over social media addiction
Meta is facing a massive lawsuit from four US states over the addictive designs of its platforms.
AI 资讯
Reddit is using LLMs to solve a problem LLMs largely created
In the AI era, platforms have no choice but to fight fire with fire to cull spam.
开发者
How to reserve and change your WhatsApp username
WhatsApp now lets users reserve usernames ahead of the feature’s full rollout, making it possible to connect without sharing a phone number once usernames go live.
科技前沿
How to Avoid Spoilers Online and in Chats
You can minimize the risk of films and shows being spoiled for you by muting comments, conversations, and keywords on various platforms.
AI 资讯
Nobody is monitoring Bluesky, so I built a mentions scraper for it
I wanted to know when people mention a brand on Bluesky. Simple ask. Turns out Brandwatch, Mention, Hootsuite, basically every social listening tool, still doesn't cover it. They're all busy with X and Instagram while Bluesky sits at 27M+ monthly users. So I looked at doing it myself and found out something most people miss: you don't need to scrape anything. Bluesky runs on the AT Protocol, which is open by design. Public posts are searchable through a documented endpoint. No login, no API key. GET https://api.bsky.app/xrpc/app.bsky.feed.searchPosts?q=YOUR_BRAND&sort=latest&limit=100 That returns full post objects. Text, author handle, timestamps, like/repost/reply counts, embedded links, hashtags. Everything you need. Two things that broke my first version Worth writing down because most tutorials get this wrong now: The public.api.bsky.app host that older guides point to returns 403 for search. Use api.bsky.app instead. As of July 2026, unauthenticated search rejects cursor pagination. Page one works fine, page two gets you a 403 with "request forbidden by administrative rules". The nasty part is it looks like rate limiting, but it isn't. The workaround: paginate by time. Use sort=latest , then pass until= with the createdAt of the oldest post from the previous page. Dedupe on uri because the boundary post shows up twice. If you don't want to maintain any of that I packaged the whole job as an Apify actor: Bluesky Mentions Scraper . Keywords in, clean JSON out. It handles the pagination and retry stuff above, filters replies if you want, scores basic sentiment, and can pull follower counts for each author so you can sort mentions by reach. Runs on a schedule, exports CSV, plugs into Slack or n8n through Apify's integrations. It also works as an MCP tool inside Claude or Cursor. Pricing is per result, $4 per 1,000 mentions. No subscription. What I actually monitor Brand and product names plus the common misspellings. Competitor names, because share of voice on Blu
AI 资讯
Robotics Shaping Our Future
AI and Robotics in the New Age of Industrialization Since 2025, a new era of...