Found 15 new servers and 11 servers died off since 3 hours ago.
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New #fediverse servers found:
symbol-pending.com a #wordpress server from United States
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blog.bildungsserver.de a #wordpress server from Germany
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social.nobrainer.zone a #mastodon server from Germany
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www.websitehost.review a #wordpress server from United States
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social.stallmer.com a #gotosocial server from Private
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Well, Dune, by Frank Herbert, has never been so current and so important these days.
#books #reading #dune #war @bookstodon
bookstodon group reshared this.
@simon quotes Sinofsky: “But if you think functional AI helping to code will make humans dumber or isn’t real programming just consider that’s been the argument against every generation of programming tools going back to Fortran.”
But, this is just not true. The number of voices I've heard heard saying this about C++: 0, SQL: 0, Java: 0, Python: 0, JavaScript: 0, Go: 0, Erlang: 0, Ruby: 0, Go: 0, Rust: 0, IDEs: tiny, VCS's: 0, build tools: 0.
Largest brain map ever reveals fruit fly’s neurons in exquisite detail
"... Researchers are hoping to do that now that they have a new map — the most complete for any organism so far — of the brain of a single fruit fly (Drosophila melanogaster). The wiring diagram, or ‘connectome’, includes nearly 140,000 neurons and captures more than 54.5 million synapses, which are the connections between nerve cells.
... The map is described in a package of nine papers about the data published in Nature today. Its creators are part of a consortium known as FlyWire, co-led by neuroscientists Mala Murthy and Sebastian Seung at Princeton University in New Jersey."
See the associated Nature collection: The FlyWire connectome: neuronal wiring diagram of a complete fly brain, which also has links to the nine papers
All nine papers are open access!
like this
So can we model this now?
Can we use this data to essentially emulate a fruit fly's behavioral patterns?
Like can we just wire this up in a software neural network, feed it some inputs, and see what happens?
Audio is inherently analogue, but you can record it into digital formats just fine.
It's tempting to say "well, that's different though" but it really isn't.
Just like with audio, you'll need high enough fidelity encoding to make it all work, otherwise you end up with garbage.
Based on my understanding of how these things work: Yes, probably no, and probably no... I think the map is just a "catalogue" of what things are, not at the point where we can do fancy models on it
This is their GitHub account, anyone knowledgeable enough about research software engineering is welcomed to give it a try
There are a few neuroscientists who are trying to decipher biological neural connections using principles from deep learning (a.k.a. AI/ML), don't think this is a popular subfield though. Andreas Tolias is the first one that comes to my mind, he and a bunch of folks from Columbia/Baylor were in a consortium when I started my PhD... not sure if that consortium is still going. His lab website (SSL cert expired bruh). They might solve the second two statements you raised... no idea when though.
Well there is no "data" per se, there's voltages and a wiring map. And this article is talking about having the complete wiring map.
The neurons deliver electrical pulses across synapses. The thickness and length of the synapse can affect the voltage or amplitude transmitted across to the next neuron. And again, if we have this fairly complete map of synapses, we may have enough information to calculate the electrical outputs of each neuron when it fires.
My understanding is that neurons work something like transistors, they receive signals and when triggered by a strong enough signal, or by enough simultaneous signals, that neuron will also fire and transmit down its synapses. With this alone you absolutely have enough structure for very complex decision making, much like a microprocessor.
I guess the question is really how accurate is this map? If we have a clear enough picture of every synaptic connection, we could simply simulate behavior in software...
Xbox cofounder J Allard has joined Amazon to work on ‘new ideas’
Allard helped create the Xbox, Zune, and prototype Courier tablet.
New on my #blog: 'Books Reviewed: September 2024."
itinerantlibrarian.wordpress.c…
The monthly wrap up of what I've reviewed in the previous month. For September, I also reviewed a couple of #cartomancy decks. Check it out.
#ItinerantLibrarian #books #reading #review #divination #BookReview #writing
bookstodon group reshared this.
Nachrichten AUF1 vom 24. September 2024 auf1.tv/nachrichten-auf1/nachr… 24.09.2024 / Die wichtigsten Meldungen des Tages, die täglichen „Nachrichten AUF1“, präsentiert von Bernhard Riegler:
+ Briefwahl-Rekordhoch: Wahlmanipulation in Brandenburg?
+ Das letzte Kapitel der Linken – Nach dem Brandenburg-Debakel gehen die Genossen aufeinander los
+ UN-Zukunftspakt: Nun kommt weltweiter Digitalzwang für alle
+ Nächster Testballon: Deutsche Bahn schafft
Gibt einen neuen islieb-Magneten mit wichtiger Botschaft! Den bekommt ihr exklusiv mit der nächsten Halloween-Post.
Und die Halloween Post bekommt ihr, wenn ihr die Comics auf Patreon, im islieb-Club oder hier auf Steady unterstützt >> steadyhq.com/de/islieb/about *Hüstel*
Amazon’s new Fire tablets have AI inside
The company’s refreshed Fire HD 8 will get some new AI tools, but they’re rolling out to other Amazon tablets, too.
Pebblebee’s new Universal trackers can switch between Google’s and Apple’s networks on the fly
When buying a Bluetooth tracker, you typically need to make certain you’re getting the model tailored to either the Google Find My Device or Apple Find My network. Pebblebee recently became the first company to release models that support either, and they come in all three form factors: card, keychain, and ultra-compact tag.
I like the no vendor lock in approach as I moved back to Android a year ago but am still stuck with my AirTags, and get daily warnings from my Android phone that an unknown tracker is following me.
These tags are probably ideal for those who are not 100% locked into one phone ecosystem. Hopefully it encourages other manufacturers to also provide this functionality.
See androidpolice.com/pebblebee-un…
#Blog, #technology, #trackers
Greg A. Woods (another old account) likes this.
🔥 Speaker Spotlight: Dan Farrelly 🔥
Dan Farrelly is set to show you how to build resilient applications with durable execution! ⚡ As a founder at Inngest and former CTO of Buffer, Dan brings extensive experience in creating robust, scalable systems. He’s also the creator of open-source tools like Timezone.io and MailDev.
Don’t miss Dan’s workshop with Aaron!
#SquiggleConf #ResilientApps #OpenSource #Workshop
doty
in reply to Tim Bray • • •Don’t get me wrong, I’m personally not a fan of CoPilot et al, but… you’ve never heard assembly programmers look down on C programmers, or C on Pascal, or C++ on Java, or anybody on Javascript, or Visual Basic?
“They don’t know how things REALLY work,” etc….
Bridget (née Bill) Phillips
in reply to Tim Bray • • •I'm poring over Rich Hickey's talk "Simple Made Easy" for unrelated reasons and it is just damning to AI tools, even though it's from 2011
Intuitively I think that we can understand it as, "Checking in generated source is an antipattern. So why is it okay with genAI?"
Simon Willison
in reply to Bridget (née Bill) Phillips • • •@billjings I would argue that checking in code generated by AI is absolutely a recommended pattern, because that code generation is non-deterministic
But you shouldn’t check in ANY code that was generated by AI until you’ve confirmed that it works - at which point that confirmation effort is human work that itself deserves to be recorded
Tim Bray
in reply to Simon Willison • • •Simon Willison
in reply to Tim Bray • • •@billjings I try to include tests that prove a change works in every commit: simonwillison.net/2022/Oct/29/…
These days those are often written with LLM assistance - it’s great at frustrating details like configuring Python’s somewhat obtuse mocking library
Some older (pre-ChatGPT) notes about using LLMs to help with tests here: til.simonwillison.net/gpt3/wri…
Larry Garfield
in reply to Tim Bray • • •voyd
in reply to Tim Bray • • •Stefan Eissing
in reply to Tim Bray • • •Can agree with Tim on serious people arguing. There were always jesters/friendly rivalry/dicks between different techs. Like favourite sports clubs.
For AI „helped“ coding, I say one of, if not the most time consuming task is to understand, as in debug, other peoples code.
If the AI does not make any obvious mistakes, there will be 0 people in the world ready to fix this code in production. And then what?💁🏻♂️
sayrer
in reply to Tim Bray • • •It is an old tale, though. For example, this one:
en.wikipedia.org/wiki/The_Stor…