And there's reason to suggest it might not work out. via Ramp data and Apollo Chief Economist Torsten Slok today, corporate token spending is slowing down.

1人あたりGDPで日本、韓国、台湾、中国といった東アジアの経済大国が欧州の経済大国(英独仏伊)に及ばないのってなんでなんだろう。一番高い韓国と台湾ですらイタリア未満だし。

Through September, AI companies have captured ~83% of all US venture funding.

When the cars inexplicably start "flying" with rocket boosters on stage and landing like rocket boosters ... you know you are watching the opening bid in the "spacex / tesla must merge" story.

bruh i slaved in the enterprise & gov mines as a corposlop for a decade before my current era. you don’t know what I’ve been thru

Hello computer. Decompile and distill Grand Theft Auto. Make the game set in my hometown -- use Google Earth to reconstruct it in pixel-perfect detail. Make the character me and have my spawn point be in the mansion I always look at on Zillow. Review my chat memory and make every mission about my hopes and dreams. Make it playable online so my friends can join. When you're done, sell all my video games on Ebay and use that money to fund tokens for my next game.

The frog boiling effect makes it very hard to see unless they travel to modern non-Western countries - which not that many do. It’s even harder for those with a little bit of money as their lifestyles are more isolated from many inconveniences.

Qwen3.8 27B literally broke the SIZE → INTELLIGENCE curve. Look how far left it is in the optimal quadrant. Crazy that a 27B model is sitting on the Pareto frontier like that. This RESETS expectations for what you can run on consumer hardware.

Ben Thompson says the real money in AI is being made by Meta, not OpenAI or Anthropic "The biggest impact of the models, the biggest monetization right now is probably not in Anthropic or OpenAI. It's the incremental gain that is happening for Google and Meta." "They can actually validate their image creation and their text creation in a way no one else can. Their validation is the ad marketplace, like running a gazillion A/B tests to see what works. Most ads don't convert.” "What do LLMs do? LLMs predict. We're going to move to this world where Meta is going to look at people and say, this person probably wants to see this next. And they're going to go find that thing and show it to them." "The potential upside in terms of just showing people better ads that are more relevant to them, they only need to increase like a few percentage points for the returns to be billions and billions of dollars. This alone is worth them investing in being on the leading edge." "This is why advertising is great. And Meta's advertising in particular is awesome. I get frustrated that Meta doesn't talk about that. Mark Zuckerberg has never really talked about the societal benefits of advertising except in passing in 20 years."

A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix. He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one. Now your agent does the same. Before writing anything, it looks for a reason not to. 80-94% less code. 47-77% cheaper. 3-6x faster. The best code is the code you never wrote. GitHub Repo: github.com/DietrichGebert/po…

Claude Fable 5 scores very well on FrontierMath: Tiers 1–4 (v2), reaching 87% on Tiers 1–3 and 88% on Tier 4. This continues a streak of Anthropic models improving rapidly at math.