- Zee2 parentThis is super cool. Would love to see a Z80 simulator set up with these examples to play with!
- If you read the release, it explicitly does not include the likenesses of human actors. Only animated and illustrated characters are included. (Although, that does cover animated/illustrated versions of characters that are typically portrayed by human actors...)
This is almost certainly due to the photographic/human likenesses of actors being under an entirely separate license and royalty contract than pure IP from Disney.
- The ping-ponging is certainly a Gen1 problem. (My Gen1 does this.) Gen1 was essentially an off-the-shelf Mobileye unit, and the performance was, as expected, not good.
Gen2 autonomy stack is completely unrelated to Gen1, and from what I hear is a completely different level of reliability.
(also - this presentation covered yet another, unrelated, gen3 autonomy stack, which shares none of the hardware or models with the existing gen2 stack, either.)
- This is AI-written.
- Ten em-dashes
- "not just A, but B"
- incessant bullet points/markdown-style formatting- wasn’t just a vacuum cleaner; it was a small computer on wheels - they didn’t merely create a backdoor; they utilized it - they hadn’t merely incorporated a remote control feature. They had used it to permanently disable my device- And an overly dramatic/promotional tone
Obviously the image is AI as well, but /shrug
- This is almost certainly LLM generated.
Six flowery “from-to”s in one article:
>from beginners to seasoned professionals
>from seasoned backend engineers to first-time data analysts
>from GPU acceleration and distributed training to model export
>from data preprocessing with pandas and NumPy to model serving via FastAPI
>from individual learners to enterprise teams
>from frontend interfaces to backend logic
And more annoyingly, at least four “not just X, but Y”.
>it doesn’t just serve as a first step; it continues adding value
>that clarity isn’t just beginner-friendly; it also lowers maintenance costs
>the community isn’t just helpful, it’s fast-moving and inclusive
>this network doesn’t just solve problems; it also shapes the language’s evolution
And I won’t mention the em-dashes out of respect to the human em-dash-users…
This stuff is so tiring to read.
- I’ll give it a shot. Zippers/velcro are critical for most modern military gear. Elevators are used to increase the storage capacity for warplanes on aircraft carriers. Thermometers (well, any temperature sensing device) are important for many weapons systems, guidance computers, etc. Wind turbines… hmm, the infamous Stuka siren was basically a wind turbine welded to the side of the plane!
(This is mostly facetious)
- As a counterpoint, Rust is one of the languages that AI is worst at writing - currently, at least.
Perhaps there could be a future where the compiler/checker will be able to integrate more closely with whichever agent is attempting to write Rust - more closely than the current paradigm, where a hapless Claude repeatedly bashes its head into the borrow checker to no avail.
- DF cares much more about frame timings, not necessarily framerate. In many of their videos they praise games which achieve a locked, stable, hitch-free, 30fps. In some cases, frame time stability can be almost as important, or even more, than absolute average framerate.
Especially when Unreal has been infamous for shader compilation stutter, where even a on-the-surface 60fps average can feel terrible due to inconsistent frame timing and hitches.
- $14US in Seattle will barely get you a side of fries. A popular place near me (not fancy!) lists their pretzel+dip appetizer for $17US, or €14.50.
With these prices, restaurants and eating out in general has become completely inaccessible to a huge swath of people. And even for those who can afford it, it’s a less frequent treat. It has a noticeable impact on the liveliness of the city and the social vibe, from my experience.
- This research has been done, it was a core pillar of the recent Anthropic paper on token planning and interpretability.
https://www.anthropic.com/research/tracing-thoughts-language...
See section “Does Claude plan its rhymes?”?
- I believe they are talking about how the range/capacity is significantly affected in deep cold weather. It's not about life-or-death that you'll freeze to death - it's that your 300mi EV turns into a 150mi EV and that makes range planning unpredictable and more challenging in rural areas.