The top right hand side shows plasma from a blood sample separated in a centrifuge and the left hand paper is our filter. Our filter does blood-plasma sep. to the same level as a centrifuge. @MitraBiotech
AQR's Clifford Asness wrote a very cool paper back in November 2024 titled as "The Less-Efficient Market Hypothesis" (https://t.co/W9nGfAbu7x). I was curious about what the data looks like for today and it only confirmed what was written.
AQR's Clifford Asness wrote a very cool paper back in November 2024 titled as "The Less-Efficient Market Hypothesis" (https://t.co/W9nGfAbu7x). I was curious about what the data looks like for today and it only confirmed what was written.
on the left, a french 18th century allegorical portrait.
on the right, me, talking about the three pillars that make our data valuable.
only @proofoftalk
Value spreads are continuing to increase even since the paper was written. Asness' Three Hypothesis (across indexing, interest rates, and gamified trading) seem to be holding up and the more interesting question is will value investing actually hold up given what we see today.
AQR's Clifford Asness wrote a very cool paper back in November 2024 titled as "The Less-Efficient Market Hypothesis" (https://t.co/W9nGfAbu7x). I was curious about what the data looks like for today and it only confirmed what was written.
Recent work on tool-using and web-browsing agents has converged on a recurring observation: as base model capability climbs, the marginal lift on agentic benchmarks comes increasingly from the post-training recipe applied to the agent, that is, the choice of algorithm, the verifier signal, and the trajectory filter at each stage, rather than from raw parameter count or pre-training scale.
Read about our continously improving post-training pipeline we built on our subnet <3
We’re excited to announce the next stage of our subnet: an automated post-training pipeline that will enable us to build the best product for AI shopping.
It’s only been 50 days, but we’re now getting 20k high-quality trajectories per day that are rich training signals for online shopping tasks.
Using the trajectories we have thus far, we saw an 18% → 42% climb on Qwen3-4B base using our post-training pipeline.
@tokifyi To be fair, Canadian Banks are decently strong (RBC CM, CIBC CM, BMO NB, etc.). However, the point still stands.
Issue is that Canada just doesn't have the government level liquidity to play the risk profiles in tech yet.
Launching the Alive Prize. $100K to build what makes you come alive.
I've been fixated on a quote from Howard Thurman lately: "Don’t ask what the world needs. Ask what makes you come alive, and go do it. Because what the world needs is people who have come alive."
We want to help more people find that feeling.
https://t.co/LosgT4WWRW
Launching the Alive Prize. $100K to build what makes you come alive.
I've been fixated on a quote from Howard Thurman lately: "Don’t ask what the world needs. Ask what makes you come alive, and go do it. Because what the world needs is people who have come alive."
We want to help more people find that feeling.
https://t.co/LosgT4WWRW