Craig Cheslog
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Craig Cheslog
@craigcheslog.com
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GenXer against fascism. Talking politics, women’s soccer, WNBA, Manchester United men and women, USWNT, USMNT, Green Bay Packers, Boston Celtics, Chicago Cubs, and Taylor Swift. (he/him/his) My newsletter: https://thelongtwilightstruggle.com/.
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Reposted by Craig Cheslog
katelynburns.com
the point of camo for a soldier is to obscure their position from the enemy. camo in an urban environment is completely different, and this forest green or desert pattern is functionally useless.

police only dress this way to project an image of power they should not have.
November 13, 2025 at 2:39 PM
Reposted by Craig Cheslog
craigcalcaterra.bsky.social
There are lots of people to blame for protecting Trump, intentionally or otherwise, but history's verdict re: Biden/Garland's manifest failure to hold Trump accountable in the four-years they had to do so should be absolutely brutal. Buchanan/Chamberlain-level indifference and incompetence.
November 13, 2025 at 1:18 PM
Reposted by Craig Cheslog
edzitron.com
While I do not have the full extent of its revenues, it is obvious that OpenAI's costs are dramatically higher - by several billion dollars - than previously reported. Similarly, the implied revenues are much lower than reported.

I am deeply concerned.
www.wheresyoured.at/oai_docs/#wh...
What This All Means Due to the sensitivity and significance of this information, I am taking a far more blunt approach with this piece. Based on the information in this piece, OpenAI’s costs and revenues are potentially dramatically different to what we believed. The Information reported in October 2024 that OpenAI’s revenue could be $4 billion, and inference costs $2 billion based on documents “which include financial statements and forecasts,” and specifically added the following: OpenAI appears to be burning far less cash than previously thought. The company burned through about $340 million in the first half of this year, leaving it with $1 billion in cash on the balance sheet before the fundraising effort. But the cash burn could accelerate sharply in the next couple of years, the documents suggest. I do not know how to reconcile this with what I am reporting today. In the first half of CY2024, based on the information in the documents, OpenAI’s inference costs were $1.295 billion, and its revenues at least $934 million. Indeed, it is tough to reconcile what I am reporting with much of what has been reported about OpenAI’s costs and revenues. OpenAI’s inference spend with Microsoft Azure between CY2024 and Q3 CY2025 was $12.43 billion. That is an astonishing figure, one that dramatically dwarfs any and all reporting, which, based on my analysis, suggested that OpenAI spent $2 billion on inference in 2024 and $2.5 billion through H1 CY2025. In other words, inference costs are nearly triple that reported elsewhere. Similarly, OpenAI’s extrapolated revenues are dramatically different to those reported. While we do not have a final tally for 2024, the indicators presented in the documents viewed contrast starkly with the reported predictions from that year. Both reports of OpenAI’s 2024 revenues (CNBC, The Information) are from the same year and are projections of potential final totals, though The Information’s story about OpenAI’s H1 CY2025 revenues said that “OpenAI generated $4.3 billion in revenue in the first half of 2025, about $16% more than it generated all of last year,” which would bring us to $3.612 billion in revenue, or $1.145 billion more than are implied by OpenAI’s revenue share numbers paid to Microsoft. I do not have an answer for inference, other than I believe that OpenAI is spending far more money on inference than we were led to believe, and that the current numbers reported do not resemble those in the documents. Based on these numbers, it appears that OpenAI may be the single-most cash intensive startup of all time, and that the cost of running large language models may not be something that can be supported by revenues. Even if revenues were to match those that had been reported, OpenAI’s inference spend on Azure consumes them, and appears to scale linearly above revenue. I also cannot reconcile these numbers with the reporting that OpenAI will have a cash burn of $9 billion in CY2025. On inference alone, OpenAI has already spent $8.67 billion through Q3 CY2025. Similarly, I cannot see a path for OpenAI to hit its projected $13 billion in revenue by the end of 2025, nor can I see on what basis Mr. Altman could state that OpenAI will make “well more” than $13 billion this year.
November 12, 2025 at 4:42 PM