Eén muisklik en alles is weg: professor waarschuwt nadat hij zelf twee jaar werk ziet verdwijnen in ChatGPT | Buitenland | De Gelderlander.nl
https://www.ad.nl/buitenland/een-muisklik-en-alles-is-weg-professor-waarschuwt-nadat-hij-zelf-twee-jaar-werk-ziet-verdwijnen-in-chatgpt~a8b4a069/
Hwt verhaal van de professor gaat over chatgpt, maar -dit geldt voor alles wat je op een computer doet, of in de cloud-.
Van belangrijke data zul je zelf moeten zorgen voor een backup. T enige wat anderen zullen zeggen als t mis gaat is: 'sorry'.
Oxide Computer, which lets companies build their own cloud, raised $200M led by USIT, taking its total funding to nearly $390M since its 2019 founding (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2026/02…
The motherboard on my work desktop died, so I frankensteined together another using parts I pulled out of ewaste. Thanks to UrBackup I was able to restore the disk image without issue.
I'm surprised and grateful that worked.
Nothing in this computer is less than 6 years old. Wish me luck.
Day 3 of #UndoneCS starts with a session on “Undone CS in the cloud.”
The first talk will be on “Agile software production in computational infrastructures,” given by Donald Jay Bertulfo.
https://www.undonecs.org/2026/pr…
There is a vision of the future of computer interaction. It varies by organisation. Apple showed us theirs — the Vision Pro. The rest of the world is — it seems — betting on The Chat Box™ with a side bet on “The Web” & offloading everything to the cloud.
1/3
The Edge Computing Cloud is opening to early adopters at #SXSW. Turn idle home internet and hardware - Mac Minis, old PCs, even NAS boxes - into a decentralized edge cloud. Install our open-source agent, leave it running, and earn cash for helping deliver content and run AI inference 2x faster than centralized clouds. We handle security, routing, and node trust. Join before March 31st for 2x payou…
One of our clients is a rich person who manages properties for wealthy people. I was in her house to clone a bad hard drive 5 years ago. She had a photo of herself with Trump on the wall.
I was back there this month to replace the computer. I don't wanna read into this, but the photo was gone.
HALO: A Fine-Grained Resource Sharing Quantum Operating System
John Zhuoyang Ye, Jiyuan Wang, Yifan Qiao, Jens Palsberg
https://arxiv.org/abs/2602.07191 https://arxiv.org/pdf/2602.07191 https://arxiv.org/html/2602.07191
arXiv:2602.07191v1 Announce Type: new
Abstract: As quantum computing enters the cloud era, thousands of users must share access to a small number of quantum processors. Users need to wait minutes to days to start their jobs, which only takes a few seconds for execution. Current quantum cloud platforms employ a fair-share scheduler, as there is no way to multiplex a quantum computer among multiple programs at the same time, leaving many qubits idle and significantly under-utilizing the hardware. This imbalance between high user demand and scarce quantum resources has become a key barrier to scalable and cost-effective quantum computing.
We present HALO, the first quantum operating system design that supports fine-grained resource-sharing. HALO introduces two complementary mechanisms. First, a hardware-aware qubit-sharing algorithm that places shared helper qubits on regions of the quantum computer that minimize routing overhead and avoid cross-talk noise between different users' processes. Second, a shot-adaptive scheduler that allocates execution windows according to each job's sampling requirements, improving throughput and reducing latency. Together, these mechanisms transform the way quantum hardware is scheduled and achieve more fine-grained parallelism.
We evaluate HALO on the IBM Torino quantum computer on helper qubit intense benchmarks. Compared to state-of-the-art systems such as HyperQ, HALO improves overall hardware utilization by up to 2.44x, increasing throughput by 4.44x, and maintains fidelity loss within 33%, demonstrating the practicality of resource-sharing in quantum computing.
toXiv_bot_toot
One thing I've noticed in recent years, not solely from government, is the assumption that processes are naturally parallelizable - ie they can be scaled with resources - whereas in reality this can take significant amounts of work to make true.
There's a lot of pre-cloud business processes - and licensing arrangements - that still work with the assumption of "one big computer".
God I hate how much the 'recent' folder in Apple macOS has screwed up people's knowledge of where files are stored.
Most beginning to intermediate computer users have no idea where their files are, how to find them, or how to organize them.
Also, automatically forcing people to save onto the Cloud rather than their computers in a way that automatically limits their storage capacity and degrades their user experience is wrong.
#Apple #macOS #Cloud #iCloud #FileManagement
The cloud is an excellent tool for many workloads, I won't deny that.
But it is important to remember that “The Cloud” is still, essentially, "Someone Else’s Computer."
That means your data exists inside someone else’s jurisdiction, logs, metadata, and access paths.
And in the age of AI, being aware of that matters more than ever.