Relative Performance Index

Property taxes are insane. In 2020 I bought a townhouse for $640k. 6 years later, my townhouse is worth about $950k. I pay about $12k/yr in property taxes. $1,000 a month just for the right to own a home. My wife and I want buying a house with a yard. We’re looking at a $1.5M house. I would be paying $3k/month in property taxes on the new house as a result of the step up to the new cost basis and more expensive house. $3k/month is my current mortgage on the townhouse. I can’t fathom paying my entire current mortgage in property taxes on the new house because I’m buying a house that is about 35% more expensive than my current home.

2 jaar geleden een SSD schijf van 4TB bij @Coolblue gekocht een WD RED SA500 SATA SSD 4TB. 5 jaar garantie en een goed product. Althans dat dacht ik. de SSD schijf is nu na precies 2 jaar gecrashed dus omruilen bij #Coolblue. Vervolgens ruim 2 weken wachten op wat voor respons dan ook en na 2 telefoontjes eindelijk wat beweging. Vandaag dan eindelijk nieuws. de harde SSD schijf kan niet meer gerepareerd worden en ik krijg mijn geld terug. Hoezo mijn geld terug ?? Ik wil dat het product wordt omgeruild. hetzij voor dezelfde of andere een soortgelijk product. Ik heb namelijk helemaal niets aan mijn geld terug omdat ik dan 1160 euro betaal in plaats van de 317 euro die ik destijds heb betaald. wat is dat nou voor onzin @Coolblue Alles voor een glimlach? Nou, dat lachen gaat vandaag acht niet meer lukken. En ja ja.. garantiebepalingen, kleine lettertje etc... Daar kunnen jullie je achter verschuilen. maar jullie zadelen mij nu op met 843 extra kosten terwijl ik gewoon 5 jaar garantie had op een product en zou mogen verwachten dat het bedrijf van de glimlach mijn product zou omruilen

NEW: Apple is cutting employee AI spending budgets even as it pushes workers to use the technology more. Engineers have seen daily limits cut from $300 to $200, with further reductions to $100 planned. Other teams could see limits fall to $25. bloomberg.com/news/articles/…

2013年7月，俄罗斯一枚造价高达 2 亿美元、装满近七百吨剧毒燃料的“质子-M”重型火箭点火升空。 结果刚飞起来不到十秒钟，火箭突然在半空中像喝醉了一样左右乱晃，紧接着直接翻了个身倒栽葱一头扎回地面，在电视直播镜头前炸成了一团蘑菇云。 事后调查委员会去废墟里把烧焦的飞行控制部件捡回来一查，查出了一个让全俄罗斯航天专家差点吐血的原因。 原来火箭上控制飞行姿态的三个“角速度传感器”，外壳上原本印着指示安装方向的小箭头，而且设计了防呆卡槽。结果组装车间的一名年轻技师在安装时拿反了方向，发现插不进去之后，他居然没有停下来看图纸，而是直接抡起手里的锤子，硬生生把三个精密传感器旋转 180 度“大头朝下”砸进了金属底座里！ 火箭刚飞上天往左偏了一度，装反的传感器以为往右偏了，指挥火箭拼命地往左修正，结果十秒钟就把两亿美金的火箭直接怼进了土里。

BREAKING: Gold and silver prices surge after the Democrats take control of the US House and Senate. The metals have added a combined +$1 trillion in market cap today.

20% of the workers produce 80% of the results.

JUST IN: Anthropic engineers say Claude designs chips faster than AMD and Nvidia workflows

o google perdeu 500 bilhões em um dia porque o modo IA responde tão bem que ninguém clica mais no anúncio primeira empresa substituída pela própria IA

Wie ich schon Mehrfach gesagt habe, glaube ich nicht an das Geschäftsmodell von Anthropic und OpenAI. Revolut hat mit 2000 Softwareentwickler auf eine Chinesische KI/LLM gewechselt (GLM) und betreibt jetzt 56 Hochleistungsgrafikkarten und haben damit die KI Kosten auf 1/10 gesenkt. Und diesen Schritt werden wir in naher Zukunft regelmäßig sehen. Die Alternative ist, Anthropic / OpenAI senkt die Kosten massiv, aber dann werden deren schwindelerregende Verluste noch höher.

startup idea: a factory that makes RAM

6/6 We think neural network weights will soon be natively optimized by LLMs that deliberately reason about the weights. We are now building a benchmark to evaluate, and a harness to help LLMs explore and write weights. rikiyat.github.io/blog/weigh…

Revolut: Europe's most valuable startup ($200B) just showed the world its AI strategy. Every company will end up copying it. At the start of this year, Revolut leaned on the frontier labs. Its 2,000 engineers used Claude Code and Codex, and some burned $1,000 to $10,000 a month each. The bills kept climbing, and the returns weren't there. So Revolut switched its default to an open-source model called GLM. All it needs is GPUs, which it rents from Together AI. The results, by Revolut's own count: - The bill is about a tenth of what it paid OpenAI and Anthropic - Engineers get unlimited tokens instead of spending caps - Coding time is down 60% and lead time is down 70% That's the chart below. Revolut still uses Claude and GPT, but only as "the exception," for the tasks they do best. Everything else runs on open source. So here's the question I keep coming back to: how many use cases can companies really justify sending to frontier models? My answer is very few. Plenty of companies still route everything to OpenAI and Anthropic today. For how long? I think open source ends up handling the vast majority of corporate AI work, and frontier models get a short list of the hardest jobs. That's a problem for labs whose revenue forecasts assume unlimited growth. If you appreciate unpopular takes, follow me @m0xt_ for more.

An anecdote on AI and GDP: My phone had a weird rare bug and wouldn't boot. Instead of buying a new one for $$$ or having it repaired for $$ I used my $20/month AI subscription to debug it, reinstall the OS from an image, and now it's as good as new. By doing this I used **way** more intelligence to solve my problem than I'd normally do, but overall I counterfactually did not increase GDP as much. I am not an expert on this, but if many more things are shaped like this = hungry for intelligence but as a result less GDP-generating, could this be limiting the impact abundant AI will have on growth as we measure it?