I snark, but this is one reason why VC doesn't make sense like it did in the SAAS era... it's not just about winner take all dynamics, but about putting a dent in the information theory and our grasp of consciousness.
Another to-do app just ain't gunna cut it when you could fund a to-do app that checks off its own tasks. ✅
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A similar approach is attempted by Mira Murati at Thinking Machines where most researchers are either quants or mathematicians. Axiom’s approach of starting with an AI mathematician is inline with this more recent trend shifting from earlier focus on autoregressive transformers pattern recognition (LLMs/ data science engineering) to more theoretical work on structured reasoning. It's brilliant.
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A self-improving AI mathematician sounds like the start of a sci-fi novel… except it’s real life now.
It's wild how quickly the lines between startups and scientific research are blurring. From SaaS to self-improving mathematicians. Colossal Labs is bringing Dodo back.
This pace of progress makes it hard not to be excited (and maybe a tiny bit cautious). Feels like we’re watching the next chapter of tech being written in real time, and even we don't know what the next line is going to be
To be honest, there are probably enough mathematical work from hedge funds and research universities where 64m seems a small amount to even get the junior level work outsourced.
Where is the disconnect to you? The quant team at one small hedge fund probably cost 10-20 mil.
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Maybe not quite AGI, but I'm personally very bullish - and excited- on AI applications in hard science. Will be interesting to watch what happens to IP when more and more deep knowledge discovery / consciousness envelope pushing is done by VC backed enterprises.
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A similar approach is attempted by Mira Murati at Thinking Machines where most researchers are either quants or mathematicians. Axiom’s approach of starting with an AI mathematician is inline with this more recent trend shifting from earlier focus on autoregressive transformers pattern recognition (LLMs/ data science engineering) to more theoretical work on structured reasoning. It's brilliant.
A self-improving AI mathematician sounds like the start of a sci-fi novel… except it’s real life now.
Triforce Todos
Finally, a to-do app that doesn’t guilt-trip me with notifications… it just does the tasks itself.
Cal ID
It's wild how quickly the lines between startups and scientific research are blurring.
From SaaS to self-improving mathematicians. Colossal Labs is bringing Dodo back.
This pace of progress makes it hard not to be excited (and maybe a tiny bit cautious). Feels like we’re watching the next chapter of tech being written in real time, and even we don't know what the next line is going to be
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To be honest, there are probably enough mathematical work from hedge funds and research universities where 64m seems a small amount to even get the junior level work outsourced.
Where is the disconnect to you? The quant team at one small hedge fund probably cost 10-20 mil.
Maybe not quite AGI, but I'm personally very bullish - and excited- on AI applications in hard science. Will be interesting to watch what happens to IP when more and more deep knowledge discovery / consciousness envelope pushing is done by VC backed enterprises.
Does start to feel more like sci-fi everyday.