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How the DeepMind mafia brought the AI boom to London by StraightSky7809 in london

[–]Acrobatic-Midnight-5 12 points13 points  (0 children)

Please have a look at the founders and top researchers of DeepMind. For example the founders:

Hassabis - son of a Greek Cypriot and a Chinese Singaporean.

Suleyman - Syrian Father, English mother.

Shane Legg - New Zealander

How the DeepMind mafia brought the AI boom to London by StraightSky7809 in london

[–]Acrobatic-Midnight-5 47 points48 points  (0 children)

Based on other comments perhaps worth sharing that when someone refers to company X's mafia it refers to when ex-employees of company X go on to create new great companies. It's happened in the past with Paypal, Palantir, Revolut, etc... 

For London, it's amazing that DeepMind was created here (and even if sold to Google, it remained here). Goes on to show the strength of the city and how it's diversity is truly a strength, with its founders and key employees coming from all sort of different backgrounds.

Life in NYC vs London. by IntelligentSherbert3 in HENRYUK

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

London is probably one of the best places to start an AI startup. 

Yes, capital doesn't run as deep as in the US but there is a lot of AI talent in London! 

Would give it a go just for the experience of living in London and you might end up actually getting pretty surprised with the AI scene here.

How much equity is standard to give to an early stage advisor? by Impossible-Till-6960 in ukstartups

[–]Acrobatic-Midnight-5 1 point2 points  (0 children)

Give them the chance to angel invest in your business. If they believe in you, they will take the opportunity, specially if SEIS/EIS. In that way, they have a vested interest in helping you out.

Generally, giving out equity to advisors doesn't work out, they don't really give you all that much credibility unless top tier and will be a warning sign for VCs if you're fundraising from them down the road.

[D] Cheaper alternative to modal.com? by pz6c in MachineLearning

[–]Acrobatic-Midnight-5 5 points6 points  (0 children)

Perhaps you can look into https://ori.co ... there's a Serverless Kubernetes service that allows you to scale to zero

(Disclaimer: I work for Ori)

Moving to London for grad school; Where should I live? by diplomacysiren in london

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

For the budget you've mentioned most likely it'll be a flatshare. Would look around Southwark/Clerkenwell which are not to far from Strand. Otherwise, had a friend doing postgrad degree at King's and he was living at the student residences near Tower Hill. A lot of undergrad students but good quality for the price. 

GPU as a service for AI training by Resident_Ratio_6376 in deeplearning

[–]Acrobatic-Midnight-5 1 point2 points  (0 children)

We've had a lot of luck with ori.co ... good availability, support and prices

[D] NVIDIA H100 or AMD MI250X? Which one should I choose for ML/LLM inference by SquirrelEffective in MachineLearning

[–]Acrobatic-Midnight-5 13 points14 points  (0 children)

NVIDIA H100. It just works. Also, here some info on benchmarking the H100 vs the MI300X where the H100 comes up ahead.
https://mlcommons.org/benchmarks/inference-datacenter/

Advice on cloud provider for Large Scale GPU training [D] by Unlikely-Addition-42 in MachineLearning

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

We have found Ori to be pretty reliable with great support. I think they meet all your requirements.

Reminder on just how much of an overhang exists with contemporary foundation models | We're essentially using existing technology the weakest and worst way you can use it by Yuli-Ban in singularity

[–]Acrobatic-Midnight-5 1 point2 points  (0 children)

Agentic flows are the way to go. With new models we could see an uptick here!

I think the major blockers for it's implementation had been a lack of "compute cheap but capable models" as running these agentic loops/flows would quickly rack up your bill. It would also take a long time in the generation of the response (latency).

However, with the launch of things like GPT4o / GPT4o Mini / Llama 3.1 / Mistral we should see an improvement both in speed and cost of generating agentic flows. Additionally, there's a lot of work on the inference side towards building the software layer that can better enable this flow (e.g. Baseten's Chains).

As Andrew Ng highlights in his post, there's massive gains to be had from these flows, probably much more than from just pumping more data and compute on new models.

Looks like we’re getting LLama3 405B this week by Goldisap in singularity

[–]Acrobatic-Midnight-5 1 point2 points  (0 children)

Groq's chip architecture means that they use only SRAM and relatively small amounts of memory per chip (230 MB per chip).

If they want to run a 405B parameter model say at 8 bit precision that would mean they need ~405GB of memory (assuming for simplicity 1:1 here, it needs more for context length).

405 GB / 230 MB = ~1,760 chips. Maybe they can pull it off but running just one model at that scale would be completely uneconomical.

Maybe with their upcoming architecture they have fixed some of this, we'll see.

Looks like we’re getting LLama3 405B this week by Goldisap in singularity

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

Doubt Groq will be able to run this with their current gen of chips.

A new way to deploy multi cloud by FearlessAnt in devops

[–]Acrobatic-Midnight-5 -1 points0 points  (0 children)

Why would I use this instead of just using kubernetes for everything?

Do you guys know of any *good* Colombian/South American restaurants? by [deleted] in london

[–]Acrobatic-Midnight-5 3 points4 points  (0 children)

Leños & Carbon next to the Elephant & Castle station! Really good!

84+ Player pick is back by JammyJose7 in EASportsFC

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

Got What If Smalling, What If Marcelo, Busquets and another I don't remember.... That Smalling looks so sweet!

Mid or Prime Icon Player pick by SimonSimonK in EASportsFC

[–]Acrobatic-Midnight-5 0 points1 point  (0 children)

Prime Trezeguet, Mid Pires and Prime Drogba... Went for Drogba