miki

miki, 3 hours ago to random

I feel like there's no operating system or screen reader that would give me the sort of stability and productivity I had around 2019-ish, with Windows 7 and pre-2020.1 NVDA with its speech dictionaries. Honestly the config I had back then made me feel like a God of doing things quickly.

There's a lot of good things to be said about Mac OS and VO, but that kind of productivity just isn't there. Windows is slightly better at the cost of much stability, but NVDA post speech refactor is far from what it used to be.

At least Mac has eSpeak with rate boost support now.

Caoimhe, 11 hours ago to random

How do you guys organise your clothes? Do you have any tricks or techniques to make managing them easier? Feel free to share.

bermudianbrit, 20 hours ago to random

ok techy humans final query then I'm pulling the trigger on this build. All 3 of these graphics cards seem basically the same. Any of them worth choosing over any other for AI workloads because I don't give a damn about visual performance for obvious reasons: - 16GB Sparkle Intel ARC A770 Titan;

• amd radeon rx7800 xt; or
• 16GB NVIDIA Geforce RTX 4060 Ti

Thanks

miki, 1 day ago to random

LaTeX pro tip:

If you need to write a simple fraction like 1/2, 1/4, 2/3 etc, where both the numerator and denominator are a single digit, you can just write \fracxy instead of \frac{x}{y}. I personally find this form to be far more readable with a screen reader and wish I discovered it sooner.

weirdwriter, 1 day ago to SmallWeb

On TTS audio description https://robertkingett.com/posts/6567/ #IndieWeb #SmallWeb #NoPaywall

jasongorman, 4 days ago to random

If you had 10 minutes to explain to a group of programmers who are new to software development how to do it better, what would you tell/show them?

What's the least a dev can know that would make the biggest difference?

What are the ABCs of software development?

miki, 4 days ago to random

I think the debacle with Google's AI reading THe Onion is a symptom of a deeper problem.

I bet that some people who don't speak English that well, aren't familiar with English-language online culture, don't recognize the Onion brand, or who have a low cognitive ability, could fall for the same trick and make the same mistake.

This is why I was never a big fan of the Onion, it is too easy to misinterpret and take it at face value, especially in those situations. I think the problem here is with the Onion publishing misinformation online and all the people giving it good search engine rankings by linking to it, not Google's AI.

chikim, 4 days ago to random

VOLlama v0.1.4-beta.1: System Prompt manager; Import Awesome ChatGPT Prompts; Partial support for GPT-4O (Throws an error for token counter in some cases but just ignore for now); Able to attach entire document and feed for long context model. https://chigkim.github.io/VOLlama/

miki, 4 days ago to random

Am I the only person who gets surprised when a C/C++ project actually builds successfully on first try?

Caoimhe, 4 days ago to random

Is it possible to read the content of an Excel cell letter by letter with NVDA?

jscholes, 4 days ago to apple

Costco had #Apple #AirTags on sale. Having never used one, I decided to buy a couple. I now have two smooth, round things on my desk that apparently don't stick or attach to anything without additional hardware, that I guess I can... put in a box that I might lose? Not really sure I understand this product.

jcsteh, 5 days ago to random

As I understand it, with all current LLMs, having a conversation involves feeding the model the entire conversation up to this point. That is, there is no memory: the prompt you feed it just gets longer and longer. So how does that work with something like GPT-4O which could be processing audio and/or video at a much faster rate? Surely the prompts must get very large very quickly with anything beyond a short interaction? Doesn't that mean the responses take longer and cost more as the conversation gets longer?

TheQuinbox, 5 days ago to random

Interesting observation: almost all of the blind hackers in my friend circle are bookworms, me included. I mean, some of us like audio over epub or vice versa, same with genres, but we're all bookworms. Wonder why?

miki, 5 days ago to random

This whole Microsoft Recall thing makes me want to return to my "permanent storage of speech history" idea. Annotate it with some metadata like timestamps, app name and window title, stick it in a vector database for RAG, and some really interesting possibilities start to emerge.

KathyReid, 5 days ago to microsoft

Why does #Microsoft want to implement #Recall? It's not about images. It's about modelling what workers do on Windows, and then replacing them.

The most expensive part of a computer is the fallible feelings-filled unpredictable meat sack that operates it.

Google has YouTube, Google Photos, Maps, and a bucket load of search data, Google Analytics, advertising, as well as it's #GCP data (e.g. #STT transcriptions). And a bunch of data from Android services. From this data they can model speech, model videos and model advertising systems, and how humans respond to them.

But they can't model what people do on computers.

Amazon has Prime data, and a bucket load of compute. But no operating system data. They can build models based around e-commerce and advertising systems.

But they can't model what people do on computers.

Meta has waves hands enough analytics to model human behaviour in the Metaverse.

But they can't model what people do on computers.

Microsoft has GitHub.
Microsoft has LinkedIn.
Microsoft has SharePoint.
Microsoft has Teams.
Microsoft has Dynamics.
Microsoft has O365.
Microsoft has Windows telemetry data.

Microsoft can model what people do on (Windows) computers. Like fill out spreadsheets.Write emails. Synthesize web pages of research. Interact with colleagues on Teams. Create and edit documents.

Microsoft wants #MicrosoftRecall data so they can model what people do with operating systems.

Then replace them.

Imagine a CoPilot that doesn't just write buggy code. Imagine one that also does spreadsheets. That creates documents on SharePoint. That communicates with colleages on Teams. That has a customer pipeline on Dynamics.

That's what Recall is about - 360 degree surveillance of the worker, to model their functions, make them fungible, replicable - and replaceable.

capital, 6 days ago to random

Microsoft recall is fucking insane.

Recall snapshots are kept on Copilot+ PCs themselves, on the local hard disk, and are protected using data encryption on your device and (if you have Windows 11 Pro or an enterprise Windows 11 SKU) BitLocker.

Your doing what? Microsoft wh-

Recall uses Copilot+ PC advanced processing capabilities to take images of your active screen every few seconds. [...]

[...] The default allocation for Recall on a device with 256 GB will be 25 GB, which can store approximately 3 months of snapshots. [...]

WHAT WHY NO ST-

Note that Recall does not perform content moderation. It will not hide information such as passwords or financial account numbers. That data may be in snapshots that are stored on your device, especially when sites do not follow standard internet protocols like cloaking password entry.

Microsoft please... th-the tech support scams... think about what happens if this gets bre-

Recall also does not take snapshots of certain kinds of content, including InPrivate web browsing sessions...

Oh, okay I guess that's san-

...in Microsoft Edge.

AAAAAAAAAAAAAAAAAAAAAAAA

It treats material protected with digital rights management (DRM) similarly; like other Windows apps such as the Snipping Tool, Recall will not store DRM content.

Ah, but of course. The DRM is protected...