Cosmologa

@Cobratate You don't make so much money, and definitely not what anyone could call father. Misogynist loser.

I’m in Uzbekistan with armed security and one of my children’s mothers is sending me pics of an Easter egg hunt set up around the house. I make hundreds of millions of dollars and she watches Dora the explorer. The duality of existence.

Orion has completed Earth departure and is now setting up for lunar flyby publish0x.com/science-news/o…

NASA's Artemis II Crew Launches To The Moon (Official Broadcast) youtube.com/live/Tf_UjBMIz… via @YouTube

@NASA @NASAKennedy Question: Is the future plan to land on Mars from the Moon or starting from Earth? #NASA #Artemis #Space #Question

We're going around the Moon. Come watch with us. Artemis II's four-astronaut crew is lifting off from @NASAKennedy on an approximately 10-day mission that will bring us closer to living on the Moon and Mars. The launch window opens at 6:24pm ET (2224 UTC). twitter.com/i/broadcasts/1…

This is the Artemis II mission flight path 🚀 1 swing around the Moon and back. 10 days total.

Artemis II crew prepares for moon journey 🌜 #space #science #publish0x publish0x.com/science-news/a…

When Black Holes meet Blockchains publish0x.com/dephy/when-bla… #DeSci #DePhy #crypto #blockchain #publish0x

Entropy and the Nakamoto consensus #DeSci #DePhy #publish0x publish0x.com/dephy/proof-of…

2026 is the year we take back lost ground in computing self-sovereignty. But this applies far beyond the blockchain world. In 2025, I made two major changes to the software I use: * Switched almost fully to fileverse.io (open source encrypted decentralized docs) * Switched decisively to Signal as primary messenger (away from Telegram). Also installed Simplex and Session. This year changes I've made are: * Google Maps -> OpenStreetMap openstreetmap.org, OrganicMaps organicmaps.app is the best mobile app I've seen for it. Not just open source but also privacy-preserving because local, which is important because it's good to reduce the number of apps/places/people who know anything about your physical location * Gmail -> Protonmail (though ultimately, the best thing is to use proper encrypted messengers outright) * Prioritizing decentralized social media (see my previous post) Also continuing to explore local LLM setups. This is one area that still needs a lot of work in "the last mile": lots of amazing local models, including CPU and even phone-friendly ones, exist, but they're not well-integrated, eg. there isn't a good "google translate equivalent" UI that plugs into local LLMs, transcription / audio input, search over personal docs, comfyui is great but we need photoshop-style UX (I'm sure for each of those items people will link me to various github repos in the replies, but *the whole problem* is that it's "various github repos" and not one-stop-shop). Also I don't want to keep ollama always running because that makes my laptop consume 35 W. So still a way to go, but it's made huge progress - a year ago even most of the local models did not yet exist! Ideally we push as far as we can with local LLMs, using specialized fine-tuned models to make up for small param count where possible, and then for the heavy-usage stuff we can stack (i) per-query zkp payment, (ii) TEEs, (iii) local query filtering (eg. have a small model automatically remove sensitive details from docs before you push them up to big models), basically combine all the imperfect things to do a best-effort, though ultimately ideally we figure out ultra-efficient FHE. Sending all your data to third party centralized services is unnecessary. We have the tools to do much less of that. We should continue to build and improve, and much more actively use them. (btw I really think @SimpleXChat should lowercase the X in their name. An N-dimensional triangle is a much cooler thing to be named after than "simple twitter")

@Ryanair @elonmusk Paying money to a specialist, everyone can "know" about aircraft aerodynamics, hack computers, build rockets and cars. Although just catching flights and not feelings with Ryanair, I'm with them in this one 😂

.@elonmusk

Applications for #DeSci Tallinn are now open! Spring 2026, in the heart of Estonia. tallinn.scroobl.es If you want to learn new skills or get eyes on your project, consider applying. Currently in talks with the Estonian government & private individuals re. sponsorship.

@MonadCommunity 0x6b9e2beb2200fe03129e178c66b6ca18e360109f

Thanks monad 💜 $MON 🚀 I will give 100$ each to 1500 people Drop $MON address now🔥

@MonadCommunity 0x6b9e2beb2200fe03129e178c66b6ca18e360109f

FCFS phase is LIVE NOW! 👀 First 555 Drop wallet address 👇

@MonadCommunity 0x6b9e2beb2200fe03129e178c66b6ca18e360109f

First 5K eligible 🪂 Drop Wallet Address 👀 (fcfs)

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First 2K Only Drop Wallet Address 👀 (fcfs) ⏰8 hrs

@dmvaldman @louisnandre @episteme Typically postdocs get paid even worse...

@louisnandre @episteme who are you trying to attract to your lofty ambition? the desperate?

Today, we're announcing @episteme, a new type of R&D company that recruits exceptional scientists to pursue high-impact ideas. Science isn’t bottlenecked by the availability of talent, but by places where they can do their best work. Scientific progress has driven human flourishing: extending lifespans, lifting billions from poverty, and expanding our understanding of the universe. But history is littered with transformational ideas that were overlooked in their time. That problem is still acute today: too much promising talent remains uncultivated, and remarkable ideas die in the lab or are filtered out by misaligned incentives. Today, scientists face suboptimal paths for translating their research into impact: academia is famously risk-averse and incentivizes publications and winning grants vs. translational research. Industry is too often focused on short‑term incentives. And startups lack the substantial capital, expertise, and complex infrastructure needed to deliver long-term scientific progress. On top of that, recent funding cuts in the US mean the overall supply of ideas is decreasing. Put together, the global scientific production system is operating at a fraction of its capacity. How Episteme operates is different: we identify great scientists who can meaningfully benefit humanity, but who aren’t supported efficiently within traditional institutions today. Researcher by researcher, we work with them to determine the bespoke resources, operational support, and environmental conditions to execute on their research. We bring them together in-house, and provide those resources to ensure that their breakthroughs are deployed for real-world impact. We’ve already assembled an amazing team of operators, ranging from the Gates Foundation, DeepMind, ARPAs, DoE – just to name a few – and researchers who are pursuing important problems across physics, biology, computing, and energy. Our team has spoken to hundreds of researchers across disciplines and geographies to understand the limitations they’re facing and what can be done better, and designed Episteme for them. We’re backed by individuals like @sama, Masayoshi Son, and other long-term partners who share our mission of enabling ambitious science for tangible human impact. About me: I started working as a researcher 9 years ago, on problems ranging from AI-driven drug discovery to developing brain-machine interfaces. It was that experience that led me to realize that so many scientists with great potential to change the world don’t have access to opportunities equal to their capacities. @sama and I believe that much better science should happen for humanity, and that a new engine is needed to support that. We decided to cofound Episteme together, and I am incredibly grateful for Sam’s unwavering support as a thought partner and founding investor. Our conviction is that by supporting the right people with the right incentives, we're set to generate breakthrough discoveries to benefit humanity. We cannot rely on the course of history to shape scientific progress; we need to proactively shape the system by supporting the most talented people with the right resources and incentives.

Last chance to turn it off. On Monday, November 3rd, Microsoft will start using your LinkedIn data for AI training. And remember, you're opted in by default. To toggle it off 👉 Account - Settings & Privacy > Data privacy > Data for Generative AI Improvement.

Fight Chat Control. You cannot make society secure by making people insecure. We all deserve privacy and security, without inevitably hackable backdoors, for our private communications. The fact that the government officials want to exempt themselves from their own law is telling: eureporter.co/business/data/…

@skdh Some would argue that future gravitational waves detectors (like LISA) need modified gravity to justify it's construction, but most of the field lacks experimental testability. Writing as someone who's in the business, unhappily

There more I think about this, the more disturbing it becomes youtube.com/watch?v=ZO5u3V…

Uncovered? It was shining as bright as the sun #DeSci phys.org/news/2025-09-s…