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ChatGPT ads launch across Europe in 31 markets. See the early data, market context, and what advertisers should do next.Continue reading on Medium »
I built a fraud detection system with 98.46% accuracy. When the auditors arrived, I could not explain a single decision it had made.Continue reading on Medium »
Will AI be a centralized Tower of Babel or an ecosystem for human collaboration? Pope Leo asks for technology with conscience. POND Continue reading on The Singularity Project »
In the age of AI, it s so easy to feel like you are now suddenly an expert in everything.Continue reading on Medium »
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A week ago, a mystery model called Ox Alpha showed up on OpenRouter — one more entrant among more than 400 models, with roughly 10 new ones launching every week. What made it stand out wasn t just the free price tag; it was quietly good. Hobbyists and indie developers noticed fast, pushing several trillion tokens through it daily, with community estimates for the week ranging from single digits to over 20 trillion.AI enthusiasts spent the next six days doing forensics and speculating who could have built it, and who could have the infrastructure to serve that many tokens for free. First the guess was a U.S. lab: the long-awaited Gemini, or Anthropic shipping a good-enough middle tier, or Elon sitting on so much capacity he dropped Ox Alpha (note the naming). People ran tokenizer traces and networking analysis. A real Sherlock Holmes mystery week.On August 26, Z.ai put its name on it. Ox Alpha was GLM-5.3-Flash. They d been running it on public traffic on purpose, but the real surprise
The startup is only a year old but it has already generated a massive amount of hype (and money) while also spurring privacy concerns.
We were promised scalability. Instead, many teams built distributed systems they can barely operate.Continue reading on Javarevisited »
*Chainlit POST /mcp stdio is the boundary: no argument inspection on fullCommand missing authentication, a default-open bind, or a Continue reading on Medium »
Amazon is adding another 2 million Nvidia GPU chips to its data centers over the next two years. But this extended partnerships stretches beyond buying more chips.
The historic settlement reignites ongoing concern around how age-verification technology puts privacy at risk.