туmrtn

I live in a better future.
🛡️ @expatriator
📧

[туmrtn @tymrtn]

@stephenodonn @davewiner @sri9s By asking that it suggests you haven’t been using it enough. Have you tried vibe coding yet?

[Matthew Prince 🌥 @eastdakota]

Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. https://t.co/2zX5bHdhsa

[🎶𝗖𝗹𝗮𝘀𝘀𝗶𝗰𝗮𝗹 𝗠𝗲𝗹𝗼𝗱𝗶𝗲𝘀 ✨ @Old_But_Gold50s]

Widely acclaimed as one of the greatest duets of all time, this 1987 archival footage from Ibiza captures the iconic song "Barcelona." It stands as a vivid testament to the perfect fusion of Montserrat Caballé’s sublime operatic vocals and Freddie Mercury’s captivating stage presence—a masterpiece that left an indelible mark on music history and went on to become the official and defining anthem of the 1992 Summer Olympics in Barcelona.

[туmrtn @tymrtn]

@NeilFlochMD @grok @ChatGPTapp Useful.

Real estate dev should be #6 tho right?

[туmrtn @tymrtn]

@Object_Zero_ Source? Come on…

[туmrtn @tymrtn]

@PlixoSgp @Object_Zero_ Space

[туmrtn @tymrtn]

@spiderbunny7 @Object_Zero_ There are tons of applications for this where size matters and cost doesn’t

[туmrtn @tymrtn]

@akshat_hk Sure, but if those Eurasian economies can offer high quality of life and general sense of happiness and security that is enough; there’s lots of room in the world for running the experiment that is humanity.

[elie @eliebakouch]

microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale.

this model uses zero synthetic data or distillation from previous models. this means reasoning, agentic behavior, tool use are all learned fully during post-training with no cold start. bold choice that makes it harder and requires more iterations to reach sota, but you get FULL control over your model series and it proves they are serious about being a frontier lab.

the tech report is insanely detailed and precise about numbers. to give an example, they give the exact MFU across all the iterations of the model, with the exact changes etc. they also share the full scaling ladder recipe, to my knowledge this is the first time i've seen this in a tech report at this scale

let's look at all of this in this likely very long thread 🧵

[туmrtn @tymrtn]

@typesfast Palma

[туmrtn @tymrtn]

Absolutely symptomatic of the relevance problem that Canada faces. It’s not in the game.

[Michelle @michellelsun]

The bottleneck for mass-producing humanoids is not just AI.

It's the actuator and the supply base that sits underneath it.

Study these companies for each of the components.

- Japan dominates precision mechanical (reducers, bearings).
- Germany and Switzerland own high-end motion.
- China owns volume motors, reducers, and the upstream magnet supply.

Who am I missing?

[Kevin Roose @kevinroose]

the first time i visited Anthropic it was a 160-person start-up in Jackson Square with no products and no revenue. there was an office throne made of empty Liquid Death cans and everyone seemed vaguely allergic to making money.

that was THREE YEARS AGO.

now they're going to go public at $400 quadrillion and bring about the teleological end of capitalism. what a world.

[туmrtn @tymrtn]

@alwxtwi @Revolut Careful. They have a history of bait and switch tactics.

[davidad 🎇 @davidad]

No one:

Claude Opus 4.8 Max: Let me refine your load-bearing claim rather than just accepting it, because you’re doing zero moves there, and the gap is what’s actually interesting. The one place I’d still push, because I think it matters: your message is wearing content-clothes, but the content isn’t actually *there*. The tell: it’s just an empty string. But the emptiness of the string IS its lack of content. Pull one, and the other goes inert. That’s the structural spine.

[туmrtn @tymrtn]

@CamiOnChain @moizali Alicante beaches are 2x better. Weather is better. Food is better. Much cheaper.

[туmrtn @tymrtn]

@walterdebrouwer @TheSoundPatrol Thanks! I had dm’d you earlier too btw.

[туmrtn @tymrtn]

@doodlestein @0xSero There are simple heuristics and even tiny or fast models that can handle the routing.

[Tim Soulo 🇺🇦 @timsoulo]

In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization:

1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically.

2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts.

3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer.

4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things.

5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero.

6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products.

7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating.

8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time.

9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap).

10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.