nittanymount

not as good as qwen3.8 yet, even the chart says good numbers, but

could you compare this editor with VSCode/Zed/...? wonder how people would pay for this editor.

what/when was the last "one more thing" ? seems years ago ?

LOL, here it is !

seems, there has been no "one more thing" for several years/events ?

ok, will wait "one more thing" :-)

?

the post does not say what the prompt tried.

wow, got 64G ram in 2013, that was very nice at that time.

how much you paid for the MBP ?

machine memory is the bottleneck/limit for running local models, how is the memory handled? did not find notes on that on the repo readme page. could you explain, thanks.

can we get a day that is free from youtube ?

everyone decides what to read/watch, right ?

Nadella Blasts AI Industry's Double Standard: Allowed to Scrape Data, Yet Restricts Others from Distilling Models

Microsoft CEO Satya Nadella published a lengthy essay on X titled "The Reverse Information Paradox," sharply criticizing major AI model providers like OpenAI and Anthropic for a glaring double standard: they leverage public data and user interactions to train their own models while imposing restrictive terms that prevent other companies from distilling capabilities from those models.

He warned that if the learning process flows only one way—toward model providers—economic value will increasingly concentrate among the handful of firms controlling AI infrastructure. The debate intensified as Palantir CEO Alex Karp delivered an even more blistering critique on CNBC, claiming enterprise clients are "furious" over token-based pricing models.

Former White House AI czar David Sacks also joined the fray, accusing Anthropic of an "observe-copy-expand" pattern that erodes application-layer businesses. While critics note that both Nadella and Karp have their own commercial motives, the issues they raise—ballooning token costs and one-way knowledge flows—have become central anxieties in corporate AI strategy.

> Claude Mythos Preview was trained on a proprietary mix of publicly available information from the internet, public and private datasets, and synthetic data generated by other models.’

'synthetic data generated by other models.’ is it distillation ?

what is a good use case for this tool?

what people use openclaw for ?

claw/hermes is cool, but seems no real use case for daily work/need.