rmorey

For me the Apple Watch killer feature is a bit embarrassing... it's the button that makes your phone ring so you can find it...

"The tech is from America actually, decades ago... But they give up and china continues the work"

Many such cases...

It only didn’t help with the first incident of accidental injuries (makes sense, almost everyone has one early on regardless) but it was still also associated with reduced recurrence

fwiw (and I am not an expert) in my understanding, Swift also has guaranteed memory safety without a GC (using automatic reference counting). not sure how it compares to Rust in that aspect

I think actually 4o image generation in ChatGPT is still a tool call with a prompt to an “image_gen” tool, I don’t think the generator receives the full context of the conversation. If you do a ChatGPT data export and inspect the record of a conversation using 4o image gen, you’ll see it’s a tool call with a distinct prompt, much like it was with dalle. And if you pass an image in as context, it’ll pass that to the tool as well.

I imagine this is for anti-jailbreak moderation reasons, which is understandable

I was going to suggest chess position recognition, AFAIK it's a completely unsolved computer vision task (once a position is recognized, I think analysis is well solved by, say, a stockfish tool for the LLM, but there is interesting work going on with language models themselves understanding chess)

You seem to be getting downvoted, but as a former Vultr employee I can confirm this is correct

I know the author, Jon. Delightful guy

Something like Geekbench for CLI tools would be awesome

The sample output is very poor. Cool demo, but really just emphasizes how much of a hit product the NotebookLM team has managed to come up with, ostensibly with more or less the same foundation models already available.

I feel similarly about NotebookLM, but have noticed one odd thing - occasionally Host A will be speaking, and suddenly Host B will complete their sentence. And usually when this happens, it's in a way that doesn't make sense, because Host A was just explaining something to or answering a question of Host B.

I'm actually not sure what to make of that, but it's interesting to note

I meant like 100-200

the EM dataset for this connectome, FAFB, is only a few hundred TB. as a rule of thumb volume electron microscopy datasets are on the order of 1 PB / cubic millimeter, and the fly brain is much smaller than 1 mm3