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Brian Schechter
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Latest posts 5
Congrats to @AlexKsendzovsky and team for their incredible launch.
One joy of seed investing is the chance to look into the future, which will be built by founders who create magic.
No investment has tought me this more than @BioComputingCo
x.com/AlexKsendzovsk…
One joy of seed investing is the chance to look into the future, which will be built by founders who create magic.
No investment has tought me this more than @BioComputingCo
x.com/AlexKsendzovsk…
today, we introduce a little mischief to the world.
for four years, we’ve been brewing real brain cells on electrodes to understand how they compute. now, we’ve turned those discoveries into a video model anyone can use.
from 0.5¢ a second, mischief 1 is at least 5x faster than its base and the cheapest image-to-video model on @fal and @OpenRouter. soon to be on @awscloud marketplace.
it’s not a delusion anymore. biocompute is real, commercial and this is just the beginning.
happy halloween.View quoted post on X
Most of the attention in AI goes to the chips. Barun Kar and @rkhemani working on how those chips get connected, and they’re betting that network should be open instead of locked to one vendor. New episode of The Compute 100 with the @upscale_ai_inc founders.
Today’s guests are Barun Kar, CEO, and @rkhemani, Executive Chairman at @upscale_ai_inc.
Barun and Rajiv’s bet is that the AI era needs its own network: open, standards-based and built to connect AI chips to each other.
From switch silicon to supply chains, we discuss:
- How scale-up and scale-out networks work
- Where copper, optics and optical switches fit
- Why open standards matter for AI chips
- What a network operating system does
- How Upscale secures its supply chain
- Building culture while scaling to 300 people
Timestamps:
0:00 Introduction
1:05 Why AI needs a new network
5:21 Why cloud-era chips fall short for AI
9:05 Scale-up and scale-out inside an AI rack
16:09 The Auradine spin-out and Upscale’s founding story
20:52 Memory semantics versus packet switching
27:23 From Cavium and Palo Alto Networks to Upscale
32:23 Competition and the system-level advantage
35:55 What a network operating system does
37:01 Optics and optical switching
41:45 Selling to hyperscalers, new clouds and enterprises
47:40 How big AI networking could get
50:43 Securing supply across the chain
54:29 Building at the forefront of AI
57:40 Beyond networking: what comes next
1:03:38 Building culture in a fast-growing company
Listen to the show, and follow along for new episodes every Tuesday.View quoted post on X
@CallosumAI raised a $100M seed on the idea that the future of compute is many different chips, each handling the part of the problem it’s best at. Great conversation with @achterbrain about how they’re building it. New episode of The Compute 100.
Today’s guest is @achterbrain , co-founder and CTO of @CallosumAI .
Jascha’s bet is that the future of compute is heterogeneous: different chips working together on different parts of a problem.
Beyond the multichip future, we discuss:
- What neuroscience taught Jascha about designing computing systems
- How chipmakers discover what their hardware is best at
- Where thermodynamic, biological, and quantum computing could fit
- Hiring people who welcome having their ideas challenged
- Building an AI infrastructure company in London
Timestamps:
0:00 Introduction
2:55 What heterogeneous computing actually means
11:02 From PhD research to Callosum
18:36 Turning heterogeneous compute into a product
23:24 Sourcing compute and working with chipmakers
28:53 Matching workloads to the right hardware
34:24 What heterogeneous computing can do today
38:29 The next waves of chips
48:02 Building the team
51:33 Why build in London?
56:11 Helping enterprises upgrade their compute stacks
1:01:04 Fundraising and building momentum
1:03:40 Where specialization wins, and where it doesn’t
Listen to the show, and follow along for new episodes every Tuesday.View quoted post on X
Not many people writing about chips actually trained as semiconductor physicists. @austinsemis did — grad work at Illinois, years at Intel — and it shows in every issue of Chipstrat. New episode of The Compute 100.
Today's guest is @austinsemis, the writer behind @chipstrat.
Austin started his career as an engineer at Intel before moving into startups and independent analysis. Today, he writes about semiconductors, optics, networking, and physical AI, bringing an engineer's perspective to what's happening across the compute stack.
We're thrilled to have him join us for a conversation on the state of the chip industry. Give it a listen!View quoted post on X