7. Backing companies with this scale of mission, a technical edge that enables vertical value capture, and truly gifted, obsessive founders is the reason I do this job. I couldn’t be happier to contribute a small part to a much bigger mission being purposed by Callosum.
6. Danyal Akarca and Jascha Achterberg have the ambition, intellectual intensity and vision to build a generational company. One capable of shaping the frontier of a sector that will define the next 30+ years of global social and economic order.
From the time I first met the team and heard about what they were working towards I knew I needed to find a way to back them. It is a privilege to be a very small part of their journey and I can't wait to see what the future holds for them.
Today we announce our $100M seed round to redefine how humanity computes in AI's next chapter.
The future of compute and AI is heterogeneous. Callosum is building it:
https://t.co/t5KnOE0Sos
Today we announce our $100M seed round to redefine how humanity computes in AI's next chapter.
The future of compute and AI is heterogeneous. Callosum is building it:
https://t.co/t5KnOE0Sos
Some thoughts aimed at any frontier tech founders thinking of building a company straight out their university research (UK and Europe focused)
https://t.co/bZUA74e6cZ
I looked into something related recently. Models seem to learn meaning via collective coordinates between tokens. This is quite similar to how we describe phonon modes (lattice vibrations) in physics. (1/9)
Couple thoughts on scaling mechanism first deep tech companies, examples of how that has been leveraged in the past and why Europe hasn’t often been great at it.
https://t.co/RgNYO95IAy
These are just a few of the 'buzz words' thrown around in the AI space but how do they connect to LLMs (large or small, open or closed source) and how could they impact the trajectory of AI development going forward?