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korrents.com
As AI inference costs fall, rising customer expectations will keep service margins from converging toward 100%.Their words
Margins will not climb to 100%. As inference gets cheaper, buyers will ask more of their agents, shifting the equilibrium over time in response to competition.
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The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
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17 September
13 September
12 September
10 September
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korrents.com
Using open models is the approach offering the biggest AI cost savings, followed by smart model routing.Their words
To answer the question posed in the header of this report, it’s apparent that using open models is indeed the approach offering the biggest savings, followed by smart model routing. Spending controls and context optimization also bear down on costs, but they don’t come close to the first two techniques in results.
The Pulse: tech companies move to open AI modelsblog.pragmaticengineer.com
6 September
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korrents.com
The strongest reason to keep training much smarter models quickly is to build defences against other AI.Their words
The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI.
3 September
27 August
21 August
30 June
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Their words
As is the case with most businesses, suppliers in the housing industry generally set prices based on market conditions and what buyers or tenants are willing to pay, rather than on production costs.
Some Things YIMBYs Tend To Get Wrong (and Right)strongtowns.org
2 June
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korrents.com
Keyboard buyers increasingly expect switches and keyboards to sound good, not just feel good.Their words
This is something more and more keyboard companies look into, and customers except good sounding keyboards.
3 May
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