Recent submissions

Comment · 13 days ago
Can I ask what model(s) you used and how much did the tokens cost to build this?
Comment · 14 days ago
I hope either Anthropic or OpenAI would share this info. Their post IPO the only thing they have to report is net margin, so we'll never know whether their costs are from inference or training.
Comment · 3 months ago
Really cool!!

For all of the other commenters - this project isn't about practicality today. Obviously this isn't gonna be as good as using a cloud provider. But the tool draws a line of what is possible. Combination of making the models more efficient, and making local machines more capable can one day get us to a world where very high quality local models are economically feasible.

Comment · 5 months ago
This doesn't seem particularly related?
Comment · 5 months ago
y tho?
Comment · 6 months ago
Anthropic seems to be playing the giant-tech-rent-capture game that all of the old guards have done for the past few years. We thought that the new age of AI might bring some fresh air into the mix, but I guess that optimism quickly faded.
Comment · 8 months ago
Meta's greatest loss of the decade
Comment · 9 months ago
This was inevitable, better now than later when the damage is less widespread. Now clawdbot (or whatever they decide to call themselves) will have to respond with better security safety nets. Individually will always naively download whatever is on the internet. Platforms needs to safeguard against that.

Remember the early days of Windows? yea it's gonna happen again with AI.

Comment · 1 year ago
At least you won't be needing a heater for the winter
Comment · 3 years ago
auto-generated GraphQL clients works really well if you have a larger codebase and large team. You can think of it as a forced high quality documentation.

If you are working in a small project with just a few engs. The additional lift for GraphQL might not be worth it. Especially if the team is not already well versed.

Comment · 4 years ago
why did Presto got renamed to Trino? so confusing...
Comment · 6 years ago
well, these robots will be operating in highly competitive markets offering 2-3 day shipping so Bangladeshi packers will not be in those labor markets.

With raising minimal wage in the US. We are likely looking at $10/hr in various markets. These robots run 24/7 so that is 1024365 = $87k saved per year. Even with depreciation counted in, it sounds pretty economical to me.

Comment · 8 years ago
I have no doubt that a certain portion of workers benefitted from the new policy while some portion of workers did not. It is too early for anyone to judge the policy without the numbers being published from Amazon. My issue with the article is that it presents a single story of a person who was hurt by the policy and extrapolate that to be the overall tone at Amazon. This article relies on sensational and emotional aspects of one story, rather than facts and statistics.
Comment · 8 years ago
The Effective Executive by Peter Drucker is a classic starter manual

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