Interesting would be how much bytes improve by 100 ELO?
HN user
noiv
With PlayWright you find bugs and with MCP you remove them.
PLayWright is not built into browsers...?
Interestingly Persona offers an attribution process (“verified” or “not verified”) and no data is held. Why does Anthropic want a selfie?
Not quite inside, but removing opaque layers, this is the Earth's today wind fields only.
https://zero.hypatia.earth/?dt=2026-06-20T02h30z&ll=59.8,-21...
On Mac touchpads, one finger dragging changes position, 2 finger (horizontal scrolling) time and vertical zooms.
When humans confronted with movies and trains driving towards camera it took some time but eventually they learned the train will not demolish the cinema.
Later they learned the voice they hear is not from a present person.
Now they learn a string of words does not represent consciousness.
Should we discuss already robots are not alive?
This has a name in literature: post disaster utopia, google it :)
Lol, once made a game hiding mouse pointer temporarely when users did not behave :)
Well, not sure whether humans have a consciousness, but very sure they want one.
On MacOs I just press space and trim with finder. Even avoids re-compressing.
Wouldn't that involve to read and understand an enormous amount of sensor data?
You have truth until someone finds a counter example, which can be ignored. So, truth is just a matter of conventions shared by humans.
Similar: http://zero.hypatia.earth (no vectors/but WebGPU)
"If men define situations as real, they are real in their consequences."
Thomas theorem is a theory of sociology which was formulated in 1928 by William Isaac Thomas and Dorothy Swaine Thomas.
models that keep on learning
These will just drown in their own data, the real task is consolidating and pruning learned information. So, basically they need to 'sleep' from time to time. However, it's hard to sort out irrelevant information without a filter. Our brains have learned over Milenial to filter because survival in an environment gives purpose.
Current models do not care whether they survive or not. They lack grounded relevance.
Zero is a serverless weather globe rendering ECMWF forecast data directly in your browser using WebGPU.
Zero backend. Zero servers. Zero cost.
As climate extremes become more frequent, understanding forecast hazards becomes survival literacy. Zero makes professional ECMWF IFS data accessible without commercial infrastructure — forkable, self-hostable, resilient. Inspired by Cameron Beccario's earth.nullschool.net, which pioneered browser atmospheric visualization.
Happy to discuss implementation details.
Technical highlights:
- No backend - runs entirely client-side - Native O1280 grid (6.6M points) sampled directly in fragment shaders - no regridding to textures - HTTP Range requests fetch ~500KB slices from 4-8MB forecast files on S3 - Works offline after first load (Service Worker caching) - Animated LOD transitions for graticule grid - line density adapts to zoom level
GPU pipeline:
- Binary search in WGSL for irregular Gaussian grid lookup (precomputed LUTs for latitude positions and ring offsets) - Marching squares compute shader for isobar contours - Streamline tracing with Rodrigues rotation for wind flow animation - Fibonacci sphere for uniform seed point distribution (8K-32K wind lines) - Globe rendered via fullscreen triangle (ray-sphere intersection in fragment shader) - Sub-3ms frame times on M1
What didn't work:
- Regridding to textures first - too slow for 6.6M points, quality loss from interpolation - Geometry-based globe mesh - vertex count explosion at high detail - CPU-side contour generation - latency killed interactivity
Storage: Caches weather data locally for offline use. Can grow to several GB with extended exploration. Use the "nuke" option in settings to clear everything.
Data hosted by Open-Meteo via the AWS Open Data Sponsorship Program — bandwidth is free for everyone.
Stack: TypeScript, WebGPU, Mithril, Zod, Immer
I learned the hard way, when Claude has 2 conflicting information in Claude.md it tends to ignore both. So, precise language is key, don't use terms like 'object', which may have different meanings in different fields.
Looking at properly aligned buildings I realized school never prepared me into thinking city planner might have been a bronze age job. How come we call mobile phones progress?
I hope, we never find out how chimps discuss the last paragraph:
... Sometimes, at least in humans, social interactions can also increase our irrationality instead. But chimps don’t seem to have this problem. Engelmann’s team is currently running a study focused on whether the choices chimps make are influenced by the choices of their fellow chimps. “The chimps only followed the other chimp’s decision when the other chimp had better evidence,” Engelmann says. “In this sense, chimps seem to be more rational than humans.”
Ask ChatGPT about ConLang. It knows. Inventing languages was solved a hundred years ago with Esperanto.
Different PoV: You have a local bug and ask the digital hive mind for a solution, but someone already solved the issue and their solution was incorporated... LLMs are just very effficient at compressing billions of solutions into a few GB.
Try to ask something no one ever came up with a solution so far.
Again we can observe a similar trend, with the latest GPT-5 already astonishingly close to human performance:
I have issues with "human performance" as single data point in times where education keeps to excel in some countries and degrades in others.
How far away are we from saying, better than "X percent of humans" ?
I spend a few decades in the industry and in even more teams. I think, the quality of code strongly correlates with the team's ability to articulate its members cognitive load and skills. In some projects it is just not opportune to point out a need to skill up, so everybody just accepts whatever in PRs and quality never gets any better.
On the other end of the spectrum you hear sentences starting with: "It would help me to understand this more easily, if ...".
Guess, what happens over time in these teams?
I wonder, whether there's anything interesting on the tape after a BB(5/6) halts?
Well, in 1957, BBC Panorama aired a 3min segment how Swiss farmers harvest spaghetti from trees.
This is the way.
I think, the web was killed before by human slob search engines can't or won't filter. Now we find out, a little longer prompt in an AI chat returns better results. So what?
changing things may have unintended consequences.
Proved by reality, that's why they propose to reduce or even undo human emissions.
Well, considering the impact current models already have now, these are good news.