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Article URL: https://openthemagazine.com/india/the-second-life-of-sanskrit

Comments URL: https://news.ycombinator.com/item?id=48874190

Points: 1

# Comments: 0

Article URL: https://nsq.io/

Comments URL: https://news.ycombinator.com/item?id=48874185

Points: 1

# Comments: 0

Article URL: https://www.off-policy.com/dont-go-quietly-into-the-ai-night/

Comments URL: https://news.ycombinator.com/item?id=48874182

Points: 1

# Comments: 0

Article URL: https://apnews.com/article/iron-lung-last-patient-died-polio-41e5b4da4f4e710344dd0872d7fcf987

Comments URL: https://news.ycombinator.com/item?id=48874150

Points: 1

# Comments: 0

Article URL: https://thinkingmachines.ai/blog/the-future-worth-building-is-human/

Comments URL: https://news.ycombinator.com/item?id=48874131

Points: 1

# Comments: 0

Article URL: https://mowerwatch.com/

Comments URL: https://news.ycombinator.com/item?id=48874125

Points: 1

# Comments: 0

Article URL: https://iswipeit.vercel.app/

Comments URL: https://news.ycombinator.com/item?id=48874114

Points: 1

# Comments: 0

Article URL: https://wellfound.com/jobs/4377171-ai-product-manager-vision-ai

Comments URL: https://news.ycombinator.com/item?id=48874077

Points: 1

# Comments: 0

Article URL: https://open-sandbox.ai/

Comments URL: https://news.ycombinator.com/item?id=48874053

Points: 1

# Comments: 0

I've been observing this for a while, where very basic queries about atproto stuff doesn't show up. But yesterday I found a query that makes it VERY obvious: "list of public atproto relays". Here's DuckDuckGo:

1. https://firehose.directory

2. https://atproto.at/relays

3. https://atproto.wiki/en/wiki/reference/core-architecture/relay

4. https://pulsar.feeds.blue

5. https://leaflet.pub/12022731-ae4f-4a13-9f7a-5738b7a83c2e

Of those results, Google only has 3, the only one on the list that... doesn't have a list of public atproto relays. None of the other sites are present anywhere. Trying not to assume malice instead of incompetence here, but it's really ironic that one of the ecosystems with the strongest ties to the open web, with users creating dozens of new websites every week, isn't getting indexed.

Comments URL: https://news.ycombinator.com/item?id=48874046

Points: 7

# Comments: 0

Article URL: https://paulgraham.com/thist.html

Comments URL: https://news.ycombinator.com/item?id=48874020

Points: 3

# Comments: 0

Article URL: https://www.indiegogo.com/en/projects/miruns/miruns#/section/project-story

Comments URL: https://news.ycombinator.com/item?id=48873988

Points: 1

# Comments: 0

Article URL: https://www.nytimes.com/2026/07/10/travel/barcelona-overtourism-jose-antonio-donaire.html

Comments URL: https://news.ycombinator.com/item?id=48873986

Points: 1

# Comments: 0

Article URL: https://www.wsj.com/tech/ai/alex-karp-is-saying-what-every-angry-ceo-is-thinking-about-ai-7f5f7c0c

Comments URL: https://news.ycombinator.com/item?id=48873978

Points: 4

# Comments: 0

Article URL: https://github.com/MrWizard94-Compile/repoforge

Comments URL: https://news.ycombinator.com/item?id=48873971

Points: 1

# Comments: 0

Article URL: https://www.nishantjani.com/blog/error-log-pattern-analysis-is-hard/

Comments URL: https://news.ycombinator.com/item?id=48873965

Points: 2

# Comments: 0

Article URL: https://better-prayer.com

Comments URL: https://news.ycombinator.com/item?id=48873962

Points: 1

# Comments: 1

I found this model "lfm2.5-thinking" which is "designed for on-device deployment" and is really tiny: just 1.2b params (~700 MB)

My first and very short interaction was so terrible that I felt no need to continue, but not in the way you think:

Here is the extremely brief transcript:

>>> hey Thinking... Okay, let's see what the user wrote here. They just said "heat". Hmm, maybe they want a response to that? ... First "heat" could be a standalone message... You saw that? It misread my "hey" as "heat", and kept going like this throughout the entire thinking process.

I thought I know what to expect from tiny local models like this.

But I did not expect it to be this bad. How would this be useful for anything local if it cannot even read a three letter-word properly?

Is this just lfm2.5 being terrible, or is this level of error a common trait in this model size range. Curious to hear from other folks' experiences.

Comments URL: https://news.ycombinator.com/item?id=48873957

Points: 1

# Comments: 0

Article URL: https://evanhahn.com/prefer-strict-tables-in-sqlite/

Comments URL: https://news.ycombinator.com/item?id=48873940

Points: 2

# Comments: 0