38 coastal, remote, and island communities are getting a lifeline for their fragile energy grids.
Through the Energy Technology Innovation Partnership Project, they're designing microgrids, exploring local renewable generation, and hardening systems against extreme weather. The goal: reliable, affordable power that can withstand the next storm.
Sources: Resolve AI, which is developing an autonomous site reliability engineering tool, raised a Series A at multiple valuation tiers, including at $1B (Marina Temkin/TechCrunch)
https://techcrunch.com/2025/12/19/ex-splunk-execs-…
Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
Wei Tang, Yin-Fang Yang, Weijia Zhang, Min-Ling Zhang
https://arxiv.org/abs/2512.17788 https://arxiv.org/pdf/2512.17788 https://arxiv.org/html/2512.17788
arXiv:2512.17788v1 Announce Type: new
Abstract: Multi-instance partial-label learning (MIPL) is a weakly supervised framework that extends the principles of multi-instance learning (MIL) and partial-label learning (PLL) to address the challenges of inexact supervision in both instance and label spaces. However, existing MIPL approaches often suffer from poor calibration, undermining classifier reliability. In this work, we propose a plug-and-play calibratable disambiguation loss (CDL) that simultaneously improves classification accuracy and calibration performance. The loss has two instantiations: the first one calibrates predictions based on probabilities from the candidate label set, while the second one integrates probabilities from both candidate and non-candidate label sets. The proposed CDL can be seamlessly incorporated into existing MIPL and PLL frameworks. We provide a theoretical analysis that establishes the lower bound and regularization properties of CDL, demonstrating its superiority over conventional disambiguation losses. Experimental results on benchmark and real-world datasets confirm that our CDL significantly enhances both classification and calibration performance.
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Wow, you *really* produce bad #quality if your #EV (with much less moving parts) is worse than all the non-electric #vehicles of a list. 😲
Avoid buying
Want a used car that works?
You’d be wise to not get an older Tesla.
In Consumer Reports’ latest ranking for used cars,
the Elon Musk-run automaker came dead last in terms of reliability,
trailing by over forty points from the top spot on a scale between 0 and 100
https://futurism.co…
I get a steady stream in my replies of meant-to-be-helpful advice of the form “You should use [complex F/OSS tech] to [do complex thing] that [solves a problem you don’t have but renders the process unusable for the people doing it]”
…when the real tech problems we’re facing on the ground here, both with Signal and other tools, are 99% just ground-level UX stuff:
- basic, basic usability glitches
- workflow friction
- problematic default settings
- reliability
Mal etwas in beruflicher Funktion...
Wir suchen Cloud-Engineers in meinem Team bei der Hetzner Cloud, die sich mit BMCs, Ansible, QEMU/KVM, Go, etc. auskennen:
https://hetzner-cloud.de/jobs/2479946
100% remote, DE only :BoostOK:
Geht um den Betrieb der eigentlichen Plattform, alles…
Google today announced an early preview of #WebMCP,
a new protocol that defines how AI agents interact with websites.
“WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your side with increased speed, reliability, and precision,” wroteAndré Cipriani Bandarra from Google.
WebMCP lets developers tell large language models exactly …
Shaped by meaning, weighted by reliability: New insights into #multisensory integration https://www.biorxiv.org/content/10.64898/2026.01.05.697596v1 "auditory and visual signa…
OpenAI says GPT-5.2 Thinking hallucinates less than GPT-5.1 and has improved reliability for agentic AI needs; pre-release testers include Notion, Box, Shopify (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-intelligence/842529/open…
The National Security Strategy of the US is worth reading. It clearly shows that the USA is no longer an ally of Europe and that NATO should be worried about the reliability of the US. It also shows how completely unhinged and extreme right the US government has become.
https://www.
The #UCL World Cancer Day: Public Lecture streamed on Youtube is very (over)optimistic about the role of AI in drug design and in silico clinical trials (ouch). Computer people always overestimate the reliability of data. One day, perhaps (and perhaps not).
https://www…
From Translink
Customer-driven improvements are coming to Metro Vancouver transit
TransLink’s new five-year plan outlines 34 actions shaped by feedback, focused on reliability
Better real-time transit information, more reliable elevators and escalators, easier ways to report cleanliness issues, and continuing design work for Bus Rapid Transit are among the improvements TransLink is advancing through its new Customer Experience Action Plan.
The study involved leading laboratories across multiple countries testing identical samples of gut microbiome bacteria. Results revealed startling inconsistencies, with accuracy measures varying dramatically between laboratories – despite analysing the same samples.
MHRA-led study reveals major inconsistencies in global microbiome research
I never could have been literate in Chinese. Not that I could not read those 2 characters as different, but I’d never be able to write characters with that fine a distinction with any sort of reliability. American cursive was bad enough. https://mastodon.social/@mcc/115651531673910237
Why does this keep happening? Grammarly recently introduced an AI chat, and also, their spell-checking service, which previously was their main product, suffers from constant reliability issues since them. I'm paying for this service, because it used to be good, I never asked for an AI chat. I can go to ChatGPT, or Google, which used to be a search engine and is now an AI chat with a worse version of the search engine attached. Not that I'd want any of that.
🚀 Enable via new Plugins section at https://openrouter.ai/settings/plugins - opt-in toggle activates automatic healing layer for all structured output requests
💡 Key insight: A 2% defect rate dropping to 1% means cutting defects, bugs, and support tickets in half - reliability at the margins is wh…
"users who leave their SSDs unpowered for over a year are risking the integrity of their data. The reliability of QLC NAND has improved over the years, so you should probably consider 2–3 years of unpowered usage as the guardrails. Without power, the voltage stored in the NAND cells can be lost, either resulting in missing data or completely useless drives."
Credo just dropped its 2025 ESG report, and it's all about making AI infrastructure greener.
The connectivity tech company is tackling one of AI's biggest challenges: massive energy consumption in data centers. Their solution? High-speed connectivity hardware designed for lower power use and reduced waste.
Beyond products, they're investing in education, health, and local communities.
Dispersion-Aware Modeling Framework for Parallel Optical Computing
Ziqi Wei, Yuanjian Wan, Yuhu Cheng, Xiao Yu, Peng Xie
https://arxiv.org/abs/2511.18897 https://arxiv.org/pdf/2511.18897 https://arxiv.org/html/2511.18897
arXiv:2511.18897v1 Announce Type: new
Abstract: Optical computing represents a groundbreaking technology that leverages the unique properties of photons, with innate parallelism standing as its most compelling advantage. Parallel optical computing like cascaded Mach-Zehnder interferometers (MZIs) based offers powerful computational capabilities but also introduces new challenges, particularly concerning dispersion due to the introduction of new frequencies. In this work, we extend existing theories of cascaded MZI systems to develop a generalized model tailored for wavelength-multiplexed parallel optical computing. Our comprehensive model incorporates component dispersion characteristics into a wavelength-dependent transfer matrix framework and is experimentally validated. We propose a computationally efficient compensation strategy that reduces global dispersion error within a 40 nm range from 0.22 to 0.039 using edge-spectrum calibration. This work establishes a fundamental framework for dispersion-aware model and error correction in MZI-based parallel optical computing chips, advancing the reliability of multi-wavelength photonic processors.
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Massachusetts is about to see major savings from clean energy. A new analysis shows the state's SMART 3.0 solar-plus-storage program could save ratepayers $313 million annually by 2030.
The key? Pushing out inefficient natural gas plants, cutting reliance on fossil fuels during winter, and slashing 1.6 million metric tons of CO2 per year.
What happens when you pair solar panels with mini nuclear reactors? Chinese researchers just cracked the code.
Their new microgrid framework combines photovoltaics with small modular reactors, using AI to balance both in real time. The results are striking: 18.7% lower costs, 37.1% fewer emissions, and 98% reliability.
The secret? Smart coordination between battery storage and hydrogen production that adapts on the fly.