We're seeing multiple exciting independent efforts investigating the pre-Sputnik transient phenomenon. Before embarking on a replication or validation study, please take a look at our new blog post outlining key methodological considerations and common pitfalls. Let's ensure #PreSputnik #Research #Methodology #Therearenospecificcountrymentionsinthetweetprovided.Therefore #theresponseis:
When AI targets tasks in the physical world, it is often bound by the lack of large volumes of high-quality data. We've developed a general methodology for training diffusion models using a combo of high- & low-quality data. Applied to robotics, it gives sota diffusion policies👇 #AI #Robotics #DiffusionModels #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
Electricity prices for households in the second half of 2025, calculated according to the PPP methodology, were among the highest in Poland among EU countries, according to Eurostat data. (Original: Ceny energii elektrycznej dla gospodarstw domowych w II połowie 2025 roku, liczone według metodologii PPS, były w Polsce jednymi z najwyższych wśród krajów Unii Europejskiej - wynika z danych Eurostatu. Wyrażone w standardzie siły nabywczej (PPS) ceny energii elektrycznej dla) #ElectricityPrices #PPPMethodology #Eurostat #PL
"We receive a lot of rave reviews from parents, young footballers, who have entrusted their children to us during coaching sessions and internships. The methodology implemented in France and internationally is based on the real expertise of football professionals and on our own https://t.co/9aXGtL642N -
RT @hum_works: What if AI could handle citation validation, methodology assessment, and statistical rigor checks, freeing humans to focus o… -
🛰️ New Article: Building an OSINT Pipeline to Cut Through the Iranian Conflict Noise. SPOILER ALERT: We're winning. I just published a long-form analysis on the Iran conflict and the strategic dynamics around it. Sorry for the Substack-only publication; the article itself was far too long and complex in formatting to publish with 𝕏 tooling. (Feedback to the 𝕏 team - if you can just make full Markdown capability, I would be thrilled.) Before anything else: I'm only a civilian data analyst, not a military officer or intelligence professional. This piece is the result of two weeks of intensive work where I did something unusual.... I built and experimented with an AI-assisted OSINT synthesis pipeline using military doctrine, think tank research, and public reporting. Part of the goal was to produce something useful for readers. But honestly, the bigger goal was education for myself, forcing a structured process to sort signal from noise in an information environment that's chaotic right now. The pipeline pulls from sources like CSIS, ISW, CEPA, ISIS nuclear reporting, CENTCOM and IDF briefings, plus open-source economic and energy data. Where I step beyond what those sources explicitly state, I mark it clearly as [ASSESSED] and try to show the reasoning. This article is the first full output of that process. If you have expertise in: 🔹 air campaign planning 🔹 nuclear nonproliferation 🔹 Middle East security policy 🔹 energy markets 🔹 OSINT methodology I would genuinely welcome corrections, critiques, or improvements. The entire point is to make the analytical process more rigorous over time. The pipeline itself will keep evolving. Bring on the rotten tomatoes. Link in next post 👇 -
