Ash Stuart
@ashstuart.com
Engineer⋅Technologist⋅Geek
Linguist⋅Polyglot⋅Wordsmith
Researcher⋅Consultant⋅Writer
✍️: AI & Tech⋅History & Futurism⋅Economics & Finance⋅Business & Geopolitics
Linguist⋅Polyglot⋅Wordsmith
Researcher⋅Consultant⋅Writer
✍️: AI & Tech⋅History & Futurism⋅Economics & Finance⋅Business & Geopolitics
Magna cum Claude?
Anthropic has announced that it has raised $3.5b (at a $61.5b post-money evaluation).
Anthropic has announced that it has raised $3.5b (at a $61.5b post-money evaluation).
March 3, 2025 at 7:26 PM
Magna cum Claude?
Anthropic has announced that it has raised $3.5b (at a $61.5b post-money evaluation).
Anthropic has announced that it has raised $3.5b (at a $61.5b post-money evaluation).
In June 2023, when the first GPT-4 was launched, inference costs were $50 per million tokens.
As of Feb 2025 it's down to 12¢ p MT! That's about 42,000%!
What do you think it'll be by 2026?
As of Feb 2025 it's down to 12¢ p MT! That's about 42,000%!
What do you think it'll be by 2026?
March 3, 2025 at 7:24 PM
In June 2023, when the first GPT-4 was launched, inference costs were $50 per million tokens.
As of Feb 2025 it's down to 12¢ p MT! That's about 42,000%!
What do you think it'll be by 2026?
As of Feb 2025 it's down to 12¢ p MT! That's about 42,000%!
What do you think it'll be by 2026?
The two Scaling Laws - for train-time and test-time compute. In testing model capabilities on the AIME, which is quite a demanding benchmark, you can see how test-time compute can produce notable improvements in performance.
This is the future, reasoning models are here to stay?
This is the future, reasoning models are here to stay?
March 3, 2025 at 7:23 PM
The two Scaling Laws - for train-time and test-time compute. In testing model capabilities on the AIME, which is quite a demanding benchmark, you can see how test-time compute can produce notable improvements in performance.
This is the future, reasoning models are here to stay?
This is the future, reasoning models are here to stay?
DeepSeek open-sourcing five of its repositories claiming this is part of the company's commitment to transparency and fostering community-driven innovation in AI research.
What do you think? Is this a sincere move toward open-source or is this just to undermine Western AI developments?
What do you think? Is this a sincere move toward open-source or is this just to undermine Western AI developments?
March 3, 2025 at 7:22 PM
DeepSeek open-sourcing five of its repositories claiming this is part of the company's commitment to transparency and fostering community-driven innovation in AI research.
What do you think? Is this a sincere move toward open-source or is this just to undermine Western AI developments?
What do you think? Is this a sincere move toward open-source or is this just to undermine Western AI developments?
Humane's once-much-vaunted AI Pin is now inhumed!
As of the end of February, Humane's AI Pins no longer connect to their servers, with their sales discontinued after its acquisition by HP earlier in the month.
What do you think? Was the idea a failure or just how the product was implemented?
As of the end of February, Humane's AI Pins no longer connect to their servers, with their sales discontinued after its acquisition by HP earlier in the month.
What do you think? Was the idea a failure or just how the product was implemented?
March 3, 2025 at 7:20 PM
Humane's once-much-vaunted AI Pin is now inhumed!
As of the end of February, Humane's AI Pins no longer connect to their servers, with their sales discontinued after its acquisition by HP earlier in the month.
What do you think? Was the idea a failure or just how the product was implemented?
As of the end of February, Humane's AI Pins no longer connect to their servers, with their sales discontinued after its acquisition by HP earlier in the month.
What do you think? Was the idea a failure or just how the product was implemented?
