366
Microsoft confirms an AI worm is propagating through Copilot and other MS apps | CSO Online
(www.csoonline.com)
this post was submitted on 31 Jul 2026
366 points (97.9% liked)
Technology
86780 readers
3816 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
A human brain model would never get us to a super computer, which is their intended goal.
Our brains have about one exaflop of processing. The NVidia B300 has 15 petaflops of processing. Corresponding to 0.015 exa, you'd need 66 of the strongest GPUs on the market to match the processing power of one human brain.
That's before considering context, current estimations would put the human brain at 2.5 petabytes of storage. The former B300 has 288 gigabytes of VRAM. Corresponding to 0.000288 of one human brain, the earlier expectation of 66 landing flat at 0.019 the storage of a human brain.
Can arguments be made not all brain capacity is at VRAM at all times? Most likely. But context windows is the primary bottleneck, not compute
Our brains are absolute monsters, we'd gain more from understanding how we can have this powerful of a machine on so little space. The bigger breakthrough would be brainbased processing of software, but I've not heard of anyone going that route - Probably because it's not feasible
Human brains are also considerably more efficient than an artificial neural network. Most modern ones only replicate the function of a human brain and its neurons in the most basic of aspects.
Things like encoding data itself in how the signal is transmitted are still pretty uncommon in artificial neural networks, for example.
We'd probably need somewhere close to several times the size and computing power of a human brain to even start coming close with current technology, assuming that it is possible to begin with.