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noiv

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newsroom.ibm.com 2mo ago

IBM Bob: AI Development Partner

noiv
3pts1
bob.ibm.com 3mo ago

Welcome to IBM Bob: Your AI-Powered Development Partner

noiv
1pts1
zero.hypatia.earth 5mo ago

Show HN: Zero – Serverless ECMWF weather visualization (WebGPU)

noiv
3pts1
github.com 8mo ago

Show HN: A Minimal Playwright Skill for Claude Code

noiv
2pts0
divisbyzero.com 1y ago

Make a "Magic Eye" image using Excel

noiv
115pts56
journals.plos.org 7y ago

Robot in an Experiment convinces humans to not switch him off

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2pts0
www.nature.com 7y ago

Pinning extreme weather on climate change is now routine and reliable science

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2pts0
www.smithsonianmag.com 8y ago

Bees May Understand Zero, a Concept That Took Humans Millennia to Grasp

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2pts1
www.youtube.com 8y ago

Numberphile: Weber's Law

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1pts0
www.ted.com 8y ago

Yuval Harari: Why Fascism is so tempting and how your Data could power it

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2pts0
www.youtube.com 8y ago

Numberphile: Dealing Cards with Cryptography (with Ron Rivest)

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5pts0
en.wikipedia.org 8y ago

Fitts’s law

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83pts2
www.kickstarter.com 10y ago

Mealworms Successful at Kickstarter. Hives Available for US, Canada

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1pts0
agentx.svbtle.com 11y ago

Simple Lists with ES6/Harmony Proxies

noiv
1pts0
agentx.svbtle.com 12y ago

Realtime JavaScript

noiv
2pts0
wcd.coe.int 12y ago

Guide to human rights for Internet users

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1pts0
www.edge.org 12y ago

EDGE Headcon: What's new in Social Science?

noiv
1pts0
www.gruene-bundestag.de 12y ago

Submission by 'The Greens' to the UN (BND/NSA illegally spying Germans)

noiv
1pts0
getsatisfaction.com 12y ago

Is Zoom.it going to die?

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2pts0
reports.weforum.org 13y ago

Digital Wildfires in a Hyperconnected World (WEF)

noiv
1pts1
news.ycombinator.com 14y ago

TIL it costs 1 Watt minimum to delete 41 exabytes in one second.

noiv
2pts1

Interestingly Persona offers an attribution process (“verified” or “not verified”) and no data is held. Why does Anthropic want a selfie?

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?

The Future of AI 5 months ago

You have truth until someone finds a counter example, which can be ignored. So, truth is just a matter of conventions shared by humans.

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

Mirror: https://hypatia-earth.github.io/zero

Source: https://github.com/hypatia-earth/zero

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.”

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?