Are you a UK AI academic that wants to be GPU rich this summer?
The Sovereign AI Unit has a call out for high ambition proposals in our core priority areas.
Apply by July 7th! www.gov.uk/government/p...
@tomwestgarth.bsky.social
Advisor at the Tony Blair Institute (Science & Tech Policy). AI Policy. State Capacity. R&D. Bridging tech and policy worlds at TxP.
Are you a UK AI academic that wants to be GPU rich this summer?
The Sovereign AI Unit has a call out for high ambition proposals in our core priority areas.
Apply by July 7th! www.gov.uk/government/p...
This from @tomwestgarth.bsky.social on the emerging "progress" scene makes for interesting reading β and includes a mention of our podcast!
tomwestgarth.substack.com/p/join-the-u...
There is a growing community dedicated to unlocking U.K. progress and abundance.
Come to the next TxP to hear from organisations such as ARIA, Centre for British Progress, Nucleate, Inference Magazine, Digital Frontier, and Project Europe!
lu.ma/fuf590zb?loc...
Super appointment.
Itβs great to see so many people from the startup world going into public service!
www.gov.uk/government/n...
This prompts an interesting discussion about how these tools may soon be cultural artifacts.
Things like BBC historical video archives arenβt just great for understanding evolving values, but changing production techniques etc. Will compute costs eat these cultural phenomena?
The next TxP will explode art as a space for AI R&D.
Panellists include Mat Dryhurst, Flora Weil, and Will Fraudenheim!
lu.ma/ff7rj1z5?loc...
Wondering if there are any DJs (especially female/non-binary DJs) in my tech policy network that would be interested in spinning some plates at the next TxP event. π§ πΆ
Dm me if interested!
One of my favourite public speakers making such elegant observations about one of my favourite films.
05.01.2025 14:46 β π 6 π 1 π¬ 0 π 0Fwiw Nadia Asparouhova wrote a brilliant essay on these tech counter elites back in May 2023.
Framed it in a much more incisive way than Gray imo
www.tabletmag.com/sections/new...
Iβd love for the BBC to commission Hannah Fry to do a 6 part series on AI in 2025.
Sheβs such an incredible science communicator, and now is the time for a big public dialogue on the technology.
And ultimately much of the work we wrote about is attempting to break away from a model of R&D that is hierarchical and target-driven.
First sc from NNP biotech, second sc from the first NNP
Look forward to it - hope youβre having a good holiday break!
27.12.2024 09:15 β π 1 π 0 π¬ 1 π 0Thereβs also a lot of debate over what this means for the impact of export controls.
Not sure where I sit on that one but it is really phenomenal that a team out of a hedge fund is genuinely competing with tech giants at 1% of the cost github.com/deepseek-ai/...
So Chinese company Deepseek released their latest frontier grade LLM.
Some astounding context worth repeating:
-They only used 2000 GPUs on a budget of around $6m. This level of capability requires normally around a 16k GPU cluster
-Deepseek is literally a project ran by a Chinese hedge fund!
It would also be great to know what you think is Thatcher 3.0 exactly about the capital markets paper?
These seem to be critically motivated by scaling UK companies, + using mechanisms like advanced market commitments/shutting down AIM is definitely not the default posture of the s&t establishment!
This applied metascience philosophy is a central core to the NNP, and certainly did not feature heavily at all in the 1980s period of science policy that you describe.
26.12.2024 20:52 β π 0 π 0 π¬ 1 π 0And ultimately much of the work we wrote about is attempting to break away from a model of R&D that is hierarchical and target-driven.
First sc from NNP biotech, second sc from the first NNP
I guess I still am not sure what you really mean by 'near market'. The TBI advocates plenty of work that is trying to take foundational research+apply it to the market (e.g. Lab of Biodesign proposal in NNP biotech)
Then there's other work that strongly steers pvt sector investment (e.g. pensions)
Let me go to the football, have a think on this later, and will get back to you with a response!
26.12.2024 14:02 β π 0 π 0 π¬ 1 π 0So just so I understand your point, are you suggesting that the TBIs work in this space that does call for govt intervention is only early stage R&D (hence term βpre marketβ), and therefore is just more of the same?
26.12.2024 13:13 β π 0 π 0 π¬ 1 π 0Sad that he missed out reading our pieces on industrial strategy and on how to keep more S&T companies in the U.K., before he wrote two entire essays saying βTBI doesnβt say anything on industrial strategy or how to keep more S&T companies in the U.K.β!
institute.global/insights/eco...
Excellent post about the recent OpenAI o3 results on ARC (& other benchmarks). I don't know how @natolambert.bsky.social manages to write these so quickly! I highly recommend his newsletter.
www.interconnects.ai/p/openais-o3...
I am (more slowly) writing my own take on all this, coming soon.
Great discussion including @pahlkadot.bsky.social and @andrewgreenway.bsky.social on success stories in state capacity in the U.K.
One for the Bluesky Heads β’οΈ I think open.substack.com/pub/statecra...
I'd also add one other important difference - which is assumptions around capabilities.
Acemoglu assumes that AI will not improve much beyond GPT-4, and crucially, that AI systems will not be integrated into robotics... cepr.org/voxeu/column...
Why is there a lot of disagreement amongst economists about AI productivity forecasts?
This article suggests differences in assumptions around speed of adoption, and if this adoption is concentrated to a small number of sectors.
I would greatly appreciate submissions and shares of this, to help us motivate funders to support open source toolmaking for academic science. π
#neuroskyence #neuroscience #neuroai #chemsky #compchem #compbio #hpc #machinelearning #ai
Exciting initiative. Two relevant points:
1.) Gaps in tooling are seen as a key blocker to improved capabilities + adoption.
2.) Another example of philanthropic orgs backing AI for R&D.
This looks v interesting. The diffusion of technology is often constrained by poor software tools.
An under-explored policy question is how to create the right conditions/incentives for quality tools to be developed and scaled.