That said, I believe this is crucial and, if addressed properly, will lay a foundation for future generations to thrive in an increasingly fast-paced world.

Children lack a foundation to challenge information and are more susceptible to blindly accepting it. I'm eager to see how the new task group will address these challenges.

As adults or experts, we easily spot problems in our areas of knowledge, gained through experience and study from trusted sources. Users of #LLMs see how easy it is to get lazy with outputs when fact-checking is needed.

AI Education Task Force has representation from: @WHOSTP, @USDA , @USDOL , @ENERGY , @usedgov , @NSF , and @WhiteHouse .They must tackle #AI education, but importantly address the risks for kids. #AIinEducation.

RT @vinayp10: The backstory is wild. Musk has been on this crusade for years:. In 2014, he released all Tesla patents, calling them "for t….

I would love to see this applied to satellite and airborne imagery if its not already. Not sure how fast it is but on-demand rendering of specific locations would be pretty cool. #GenerativeAI #geospatial #aiml.

We still don’t have iron man’s Jarvis, but it’s been a huge leap in human machine augmented workflows!.

4. Repeat. It can take some patience’s but converging on a solution I’ve found it’s much faster then allowing it to choose its own context. Verify then trust!.

3. Iterate slowly. Issue: solutions are random and “likely” to solve but it may not be in alignment with your coding standards. Action: prompt the agent to run the test grep the logs and do another root cause analysis and present solution options. Read the code and determine your.

2. Prefix logs with a key. Issue: logs can be verbose and blow its context. Action: based on the module where the problem could be use debug statements prefixed with a key for grepping the important logs.

I tend to use @cursor_ai so tips are aligned with those workflows. 1. Isolate context. Issue: Agent code generators tend to get fixated on the wrong problem. Limiting context keeps them on track. Action: prompt the Agent to run the test in the chat, and tell it to do a root.

I’ve been experimenting with troubleshooting and want an insight on some options for fixing issues. Tips on hard to find easy to fix issues below. #vibecoding #llm.

@trufflesec "The researchers explain that the developers’ mistake was to hardcode them into HTML forms and JavaScript snippets and did not use server-side environment variables." -trufflesec. "Do you want ants? Because that's how you get ants." - Malory Archer.

Same story different day. That's an impressive find by @trufflesec , nice work! Checking for keys should just come standard - ON - for CI/CD pipelines at this point.

Netflix’s Distributed Counter Abstraction offers blazing-fast throughput and low latency in a single region, perfect for cost-efficient multi-tenant setups. A trade-off is no cross-region replication for increments, so accuracy takes a hit. Their use case is A/B testing with.

RT @SpaceNews_Inc: Danti expands AI-powered Earth data search engine to broader government market .

@mouthofmorrison , check it out and let me know what you think.

Today, we're excited to share that Danti is now available for U.S. government users — equipping organizations with global insights on demand through our AI-powered knowledge engine. After a year of working alongside the U.S. Space Force, National Geospatial-Intelligence Agency.