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Certain minerals and elements, including cobalt, copper, lithium and nickel, are crucial for the manufacture of renewable energy technologies, including electric vehicles and solar panels. However, the extraction and processing of those minerals often takes place in developing countries, far from public scrutiny and without consent from local communities, which can be left with the burden of pollution but little economic benefit.

Key stakeholders at the ongoing U.N. climate meeting, COP29, are pushing for greater transparency, arguing for the need to ensure local environments are protected and economies improved along the critical minerals supply chain.

Efforts for a binding global treaty on traceability for critical minerals was first launched by the Colombian government on the sidelines of the recent U.N. Biodiversity Conference in Cali, Colombia. The goal is to ensure a global pact is ready to be signed by November 2025 when the next U.N. climate talks meet in Belém, Brazil.

[...]

At the 2023 U.N. climate meeting, the global community set a goal to triple the world’s renewable energy capacity by 2030. Such an increase in renewable energy is needed to fight the climate crisis but would likely result in a commensurate increase in demand for critical minerals as well. That makes efforts to ensure greater transparency in the value chain more important than ever for local communities and Indigenous people living in resource-rich areas.

[...]

The principles underpinning the U.N.-backed initiative include advancing fairness, justice, equity and human rights across the critical minerals value chains. It seeks to source critical minerals in a way that protects the environment and ensures prosperity in resource-rich developing countries.

“We must now seize the opportunity to grow our economies, protect our societies, preserve our environment and share benefits more justly while we tackle the climate crisis,” said Ditte Juul Jørgensen of the European Commission and co-chair of the Panel on Critical Energy Transition Minerals­­­­­. “Only in this way, will we tap the potential of the energy transition and create new and shared benefits for all,” she added.

Hi everyone!

**Postiz is an open-source social media scheduling tool that offers scheduling on: ** Instagram, YouTube, Dribbble, LinkedIn, Reddit, TikTok, Facebook, Pinterest, Threads, X, Slack, Discord, Mastodon and BlueSky.

Check it out here :) https://github.com/gitroomhq/postiz-app/

I have been working on mostly bug fixes lately and improving the platforms, some of the latest things:

• Many failures of posting on small things like character limit or uploading size.

• Fix problems in LinkedIn not loading pages.

• Team invite was fixed :)

• A bunch of docker changes to make it super easy to load. It's now live on: Coolify, Ptah soon Cloudron

**But the most important thing in the roadmap here is what I was mainly asked: **

• Add and an option to schedule stories on Instagram and add music to them

• Public API

• YouTube community posts schedule

• Google Business schedule

• Auto Plugs (I'm super excited about this one): Once tweets get X likes, they will auto-repost, add comments to tweets, and so on; this will be sent to all social media.

• SSO

• I am happy to hear about more requests.

One clarification after seeing many comments over and self-hosted: Postiz will always be apache-2, no weird dual license thingy, and no enterprise-only SSO.

Postiz is not making much money. Today we are on a product hunt. If you can help me out, it would be amazing, but if not, I love you anyway :)

Thank you so much for this community for helping me with every post!

https://www.producthunt.com/posts/postiz

Seen at Bergen Flesland Airport

MastCam-Z full zoom (110 mm) - Roughly processed - Contrast stretched. Normally I'd be sighing about the increased level of atmospheric dust we're seeing recently, but in this case it sort of improves the image.

I reckon Ansel Adams would have been happy with this shot.

NASA/JPL-Caltech/ASU/MSSS

Niantic, the company behind the extremely popular augmented reality mobile games Pokémon Go and Ingress, announced that it is using data collected by its millions of players to create an AI model that can navigate the physical world. 

In a blog post published last week, first spotted by Garbage Day, Niantic says it is building a “Large Geospatial Model.” This name, the company explains, is a direct reference to Large Language Models (LLMs) Like OpenAI’s GPT, which are trained on vast quantities of text scraped from the internet in order to process and produce natural language. Niantic explains that a Large Geospatial Model, or LGM, aims to do the same for the physical world, a technology it says “will enable computers not only to perceive and understand physical spaces, but also to interact with them in new ways, forming a critical component of AR glasses and fields beyond, including robotics, content creation and autonomous systems. As we move from phones to wearable technology linked to the real world, spatial intelligence will become the world’s future operating system.”

By training an AI model on millions of geolocated images from around the world, the model will be able to predict its immediate environment in the same way an LLM is able to produce coherent and convincing sentences by statistically determining what word is likely to follow another.