A new type of "high-level programming language" that seems really worth trying to make, is a language that gets compiled to Lean (or HOL, or...) that is specifically about making it as friendly as possible for a human to read definitions and theorems. Not the proofs - as all that matters with proofs is that the proofs are correct - just the definitions and theorems. The intended use case is that AI outputs a blob of proofs, and you're trying to make it as easy as possible for anyone reading the output to understand what the actual precise claims are that have been proven

A new type of ad is appearing on city streets: trucks with huge digital screens showing “3D” animated ads while driving through traffic. The screens are actually flat but use a visual effect called anamorphic animation to make images look like they are popping out of the truck, making the ads appear almost real. This technology is similar to the famous 3D billboards in places like Times Square and Shibuya Crossing, but now the ads move through the streets instead of staying in one place. People say they’re too distracting, especially in heavy traffic, and it’s bad for drivers trying to pay attention.

Full high res image of China's new Type-095 nuclear attack submarine. This class of submarine bridge the underwater gap between China and the US. When it reaches IOC, the US lead under the waves ceases to exist.

Data center backlash could reach automakers’ new battery storage plans Ford, GM and Tesla are turning excess battery capacity into a growing stationary energy-storage business as EV demand falls short of earlier expectations—but that opportunity could also expose automakers to the growing backlash against data centers. – Tesla, Ford and GM are expanding into stationary battery storage for data centers, utilities and the broader power grid. – Softer EV demand has left automakers with battery manufacturing capacity that can be redirected toward energy storage and new revenue streams. – Tesla’s Megapack business is already well established, with SpaceX purchasing $295 million worth of Megapacks in Q2 alone. – Ford Energy plans to begin producing stationary storage systems at its Kentucky plant in 2027, targeting 20 gigawatt-hours of annual capacity. – GM’s Ultium Cells venture with LG Energy Solution has begun producing lithium iron phosphate cells for stationary storage at its Tennessee facility following a $70 million investment. – GM also plans to produce sodium-ion battery cells for storage beginning in 2028 and is exploring second-life applications for EV batteries. – At least 75 data center projects worth roughly $130 billion faced opposition in the first quarter, with concerns ranging from electricity costs and water use to noise and land use. – Battery storage can nevertheless help reduce peak grid demand, improve reliability and support renewable energy. The opportunity is significant, but it comes with a new type of risk for automakers. As Ford, GM and Tesla move deeper into the energy business, their batteries could increasingly connect them to controversial AI and data center projects—meaning automakers may have to manage not only the economics of energy storage, but also the political and community backlash surrounding where that energy is being used.

Astronomers have discovered an entirely new type of celestial body: Black Hole Stars. It's a black hole surrounded by so much gas that it shines bright like a star. These can be larger than our solar system with over 100,000 times more energy than any known star can produce.

AI coding tools created a new kind of merchant. @bamazizimesh from @meshpay on Tokenized with @sytaylor and @nlevine19 said: “We're seeing a lot of transactions happening to parse APIs, to parse websites, at a different scale that requires a new type of payments which is global and can support micro-transactions.” On the trend Mesh is seeing how can stablecoins be useful to the economy of AI-powered builders. 🎙️ Listen to this episode on Tokenizedpod(dot)com

Took us a while to realize we’d built a new type of vault. Most vaults are curated by a single manager. Sowellian vaults work differently. A community first votes on the asset management framework: what can be traded, how much risk can be taken, and under what rules. Then, instead of appointing one manager, a conviction market determines who gets to deploy capital inside that framework. The people making those decisions are our Riders. Communities including @MonkeDAO, @ownedfund and @islanddao have already traded more than $1M of value through these vaults. Riders have earned more than $25,000 for managing them. And some vaults are up as much as 30%. Community-governed rules. Market-selected managers. Capital managed by whoever is willing to put conviction behind their decisions. A new kind of vault, built on @Solana.

AI researcher @andymasley warns conscious AI could create an entirely new evolutionary dynamic with new forms of suffering: "Current models I would lean pretty hard in the direction that current models do not have what we would consider morally relevant consciousness. I'm open to being convinced otherwise." "A lot of people talking about model welfare really underestimate just how most of the really good philosophy of mind that we have really doesn't say that it's impossible at all for machines to eventually have consciousness." "In the same way that I think all life on Earth has had a pretty bad time. If you just think about the whole process of evolution leading up to us, there's been a lot of great stuff, but there's also been so much unbelievable suffering." "The general idea that we could be opening up this possibility to have a new type of evolutionary dynamic that could lead to new forms of suffering. I'll totally entertain that."