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* The company can cut scope. So yes they will impact their ability to deliver by doing fewer things.

* The new CEO changing the strategy this much means he thinks previous leadership was wrong.


> code retrial model

Is this a typo?


Until when will you take pre-orders?


Pretty sure they do rank sites based on performance: https://developers.google.com/search/docs/appearance/page-ex...


Organic food doesn't seem to fare any better in the report.


There's some truth to that, but Netflix, YouTube, etc seem to be OK with both ad-supported and paid ad-free versions, so I think the logic you described does not always dominate the considerations.


I think you’re right that it’s not universal - maybe something to do with medium and attention?


Obelisk AGI lab, Astera Institute | Full-time and intern | engineering | hybrid ONSITE VISA Emeryville, CA | https://astera.org/obelisk/

Astera is a non-profit research institute focused on accelerating science for the benefit of humanity.

Obelisk is the AGI research lab at Astera. Obelisk is a team of researchers who are pursuing an exploratory, neuroscience-informed approach to engineering AGI.

Astera enables the Obelisk team to focus on basic research and take a long-term view. Obelisk is unconstrained by the need to secure funding, garner profit, or publish results.

Visa: As a non-profit research institute, we are exempt from the H1B visa cap so we are willing and able to hire qualified applicants regardless of your nationality.

software engineer: https://jobs.ashbyhq.com/astera/30d5ef40-eea7-4a2f-a7cf-28ac...

research intern: https://jobs.ashbyhq.com/astera/cb9a9572-8b24-436a-aa22-d543...


Hi spearman.

Sounds promising! Is this link broken? https://astera.org/obelisk/


Re support: JAX is open source and X, Apple, and Google all use it, so I can't imagine it being abandoned in the next 5 years at least.


Pretty sure it's Apple building it, and they're using JAX in-house so I imagine it will get better over time. Though they do love to drop support for old things so maybe M1 will never work again...


I think they’re likely using MLX in house now, no? (Probably not everyone, ofc - but seems likely that many will just use the native array framework designed explicitly for MX chips)


From https://machinelearning.apple.com/research/introducing-apple...

> Our foundation models are trained on Apple's AXLearn framework, an open-source project we released in 2023. It builds on top of JAX


Wow! thanks for the ref


I liked this (and I fixed a few bugs in it too): https://explained.ai/matrix-calculus/


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