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SuperColoring – a simple crossword generator for learning and fun
I recently tried SuperColoring, a convenient tool for creating your own crossword puzzles. You can add your own words and hints, automatically generate a crossword, edit the title, and choose a layout you like.
The finished crossword can be downloaded and printed together with an answer key. I think it can be especially useful for classroom activities, homework, language learning, and vocabulary practice.
Does anyone here use crossword generators like this?
Comments URL: https://news.ycombinator.com/item?id=49715448
Points: 1
# Comments: 0
Draw and track property lines on drone video
Article URL: https://pixly.app/tools/drone-video-property-lines
Comments URL: https://news.ycombinator.com/item?id=49715441
Points: 1
# Comments: 0
Did Venus Eat Its Own Moon?
Article URL: https://nautil.us/did-venus-eat-its-own-moon-1285021
Comments URL: https://news.ycombinator.com/item?id=49715434
Points: 1
# Comments: 0
The Story of FCKGW-RHQQ2-YXRKT-8TG6W-2B7Q8
Article URL: https://twitter.com/davepl1968/status/2099883465256865923
Comments URL: https://news.ycombinator.com/item?id=49715417
Points: 1
# Comments: 0
Wikipedia Page Preview Documentation
Article URL: https://diff.wikimedia.org/2018/05/09/page-previews-documentation/
Comments URL: https://news.ycombinator.com/item?id=49715413
Points: 1
# Comments: 0
Subnormal floating-point numbers are expensive on Intel processors
Article URL: https://lemire.me/blog/2026/09/15/subnormal-floating-point-numbers-are-expensive-on-intel-processors/
Comments URL: https://news.ycombinator.com/item?id=49715408
Points: 2
# Comments: 0
AI is now leading driver of new cybersecurity spending
Article URL: https://www.cybersecuritydive.com/news/ai-leading-driver-cybersecurity-spending/830418/
Comments URL: https://news.ycombinator.com/item?id=49715404
Points: 1
# Comments: 0
Show HN: Omni – Open-source workplace agent, built on Postgres
Hi HN!
Over the past year, I've been building Omni (https://github.com/getomnico/omni) - an open-source, self-hosted agent that connects to your workplace apps (drive, email, wiki, CRMs, ticketing systems, etc.), and gives your team an AI agent that can operate across these apps.
I posted about Omni on HN about 6 months ago, and it generated some interesting discussions: https://news.ycombinator.com/item?id=47215427. At the time, Omni was largely an enterprise search system. Since then, the project has evolved to become more of an agent that can gather context, analyze information, and carry out tasks; rather than just search for answers.
E.g., you can tell Omni, "create a project status deck on Google Slides with this week's progress", and it will search through Jira, Slack, Docs, meeting transcripts, fetch the relevant information, analyze spreadsheets with Python, prepare a summary and ask for your approval before creating the slides on your drive.
A non-exhaustive list of things Omni can do today:
- Take action on connected apps, with an approval system for write actions
- Full MCP support, so connectors can integrate with any existing MCP servers.
- Sync data from connected apps into a unified search index, allowing the agent to query data across all apps using a single search tool.
- Sand-boxed code execution and shell access, enabling the agent to create documents, spreadsheets, presentations and HTML landing pages.
- Persistent memory and user-defined skills
Omni still uses Postgres as its core data layer where it syncs and indexes all data from connected apps. We use ParadeDB (Postgres extension) for BM25 search and pgvector for semantic search - so there's no need to run and operate a dedicated search cluster or vector database. To know more about the architecture: https://docs.getomni.co/architecture.
Would love to get more folks involved in the project, so if you find this interesting, please check out the repo below. It only takes around 10-15 min to deploy using docker compose and connect a few apps.
Happy to answer any questions!
GitHub: https://github.com/getomnico/omni (Apache 2.0 licensed)
Docs: https://docs.getomni.co
Comments URL: https://news.ycombinator.com/item?id=49715402
Points: 1
# Comments: 0
US confirms for first time it has deployed weapons in space
Article URL: https://www.theguardian.com/science/2026/sep/15/us-confirms-first-time-it-has-deployed-weapons-space
Comments URL: https://news.ycombinator.com/item?id=49715401
Points: 2
# Comments: 0
Sub-Agents Are Just Wrong
Article URL: https://polylane.com/blog/sub-agents-are-just-wrong/
Comments URL: https://news.ycombinator.com/item?id=49715388
Points: 1
# Comments: 0
Don't make the agent remember how to do its job
Article URL: https://mega.dev/labs/drops/pi-kody-integration
Comments URL: https://news.ycombinator.com/item?id=49715386
Points: 1
# Comments: 0
Show HN: TabPFN-3.5, a Tabular Foundation Model for messy real-world tables
Article URL: https://priorlabs.ai/technical-reports/tabpfn-3-5
Comments URL: https://news.ycombinator.com/item?id=49715384
Points: 2
# Comments: 1
AI Safety Requires More Than Just Slowing Our Pace – Stuart Russell
Article URL: https://www.theguardian.com/commentisfree/2026/sep/15/ai-safety-requirements
Comments URL: https://news.ycombinator.com/item?id=49715382
Points: 1
# Comments: 0
Breaking into Google's GFile for $100k
Article URL: https://bughunters.google.com/blog/breaking-into-googles-gfile-for-100k
Comments URL: https://news.ycombinator.com/item?id=49715365
Points: 1
# Comments: 0
The Internet's Index
Article URL: https://launchindex.app
Comments URL: https://news.ycombinator.com/item?id=49715362
Points: 1
# Comments: 1
$1 Million Sandbox Challenge Uncovers Linux Kernel Flaws
AI-assisted researchers flooded Vercel with reports, forcing the company to automate vulnerability triage.
The post $1 Million Sandbox Challenge Uncovers Linux Kernel Flaws appeared first on SecurityWeek.
Exein Secures $270M at $1.7B Valuation for Physical AI Security
The cybersecurity startup is building a proprietary foundation model and plans to accelerate global expansion.
The post Exein Secures $270M at $1.7B Valuation for Physical AI Security appeared first on SecurityWeek.
How to opt out of AI chatbot training
The tech journalists at 404 Media learned that OpenAI is hiring hundreds of contractors to read and review a massive stream of real users’ ChatGPT prompts and responses.
“Project Lily” is reportedly a program that asks contractors to score or critique ChatGPT’s answers to improve the chatbot’s quality and behavior.
The fact that prompts may sometimes be reviewed by humans should not come as a complete surprise. AI companies also monitor conversations for safety reasons. Anthropic, for example, says it has disrupted attempts to misuse AI for biological weapons research.
But there should be a meaningful distinction between reviewing conversations for safety or abuse and reviewing them for ordinary model improvement.
OpenAI says a limited number of authorized personnel and trusted service providers may access chats for several reasons, including investigating abuse, providing support, handling legal matters, and improving its models.
OpenAI told 404 Media that it uses a “Privacy Filter” model to remove personal information before prompts reach reviewers, while acknowledging that sensitive details can still get through.
The prompts are anonymized in the sense that reviewers do not see the username of the ChatGPT user who entered them. But reviewers may see personal details in the conversation alongside a “user memories summary,” which provides an overview of how that user has previously used the chatbot. Together, this information could still reveal a great deal about that user.
It’s sometimes easy to forget that you’re not having a private conversation when you’re going back and forth with an AI chatbot. This isn’t an alarmist warning against using AI, but a reminder to be mindful of what you disclose because it could be read and reviewed.
How to opt out of AI chatbot training ChatGPTOpenAI told 404 Media that users’ chats won’t be used to improve the company’s models if they turn off the “Improve the model for everyone” setting. This is turned on by default for Free, Plus, and Pro plans, so users need to turn it off themselves if they wish to opt out.
However, opting out does not prevent all human access. OpenAI says authorized personnel and trusted service providers may still access content when necessary to investigate abuse or security incidents, provide support, troubleshoot problems, or handle legal matters.
In ChatGPT, select your profile icon, then go to Settings > Data Controls and turn off Improve the model for everyone. On mobile, open the sidebar, select your profile icon, and then follow the same steps.
PerplexityIn Perplexity, go to Settings > Preferences > AI data retention and turn off the setting.
Perplexity says this prevents data collected after you opt out from being used to train AI models. It does not remove data collected previously, and your data may still be processed to operate and improve the service or comply with legal obligations.
ClaudeIn Claude, select your name and go to Settings > Privacy. Under Help Improve our AI Models, turn off the setting.
Anthropic says new chats and coding sessions will no longer be used for future model training. It will also stop using previously stored conversations in future training runs, although data already included in training can’t be removed.
Anthropic also notes one important exception:
If our safety classifiers flag your conversations, they may still be used to improve our internal trust and safety models, detect harmful content, enforce our policies, or advance our safety research.
If you use other AI tools, check their privacy policies and settings to find out whether your conversations can be reviewed or used for model improvement and whether you can opt out.
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Texas Utility CenterPoint Energy Confirms Breach After Hacker Leaks Data
A hacker claims to have stolen 7.5 million customer records after breaching the company’s systems.
The post Texas Utility CenterPoint Energy Confirms Breach After Hacker Leaks Data appeared first on SecurityWeek.
