Mark Szepieniec

672 posts

Mark Szepieniec

Mark Szepieniec

@mszepien

ML Engineering at Xyme AI

London, England Katılım Mayıs 2012
4.4K Takip Edilen459 Takipçiler
Mark Szepieniec
Mark Szepieniec@mszepien·
@JackScannell13 There is a whole world of biotech applications outside of therapeutics waiting to be explored…
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Moving Home with Charlie
Moving Home with Charlie@moving_charlie·
@pwoody1983 I’d group those together into one of the 3 reasons, and call it “financials”. There are two other reasons.
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Moving Home with Charlie
Moving Home with Charlie@moving_charlie·
Two different buyers offer £300,000 for the same house. One is overpaying, the other isn’t. Can you name 3 reasons why this is the case?
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Mark Szepieniec
Mark Szepieniec@mszepien·
@LightningAI @TheCantinaApp Is this also effectively a bet that open source models will catch up to the closed providers (and will be served on your full stack platform)? Or do you see agentic/LLM systems as out of scope?
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Lightning AI ⚡️
Lightning AI ⚡️@LightningAI·
One insight we keep coming back to after last week’s Lightning AI + Voltage Park merger news: “The next phase of AI will be won by teams that control the entire stack.” — Timo Mertens, CTO of Cantina (@TheCantinaApp) This is exactly why we've created the only full-stack AI cloud, providing AI teams a fully integrated system of software, optimization, and compute to build, iterate, and operate at the frontier. → go.lightning.ai/4rvvTRp
Lightning AI ⚡️ tweet media
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David Shoolheifer
David Shoolheifer@greendrive1246·
This will be the last Labour government for decades if not ever.
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Dave Burke
Dave Burke@davey_burke·
Arc is a full stack AI/bio institute - from sophisticated wet lab experimental data gen to frontier ML modeling. To operate at scale, the stack needs bioinformatics tools that push the envelope. Excited to share cyto - an ultra-high throughput processor for @10xGenomics Flex single-cell data
Arc Institute@arcinstitute

Arc bioinformatics scientists @noamteyssier and @a_dobin have just released cyto, an ultra-high throughput processor specifically optimized for @10xGenomics Flex single-cell data. We are excited to make this resource open source: biorxiv.org/content/10.648…

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Mark Szepieniec
Mark Szepieniec@mszepien·
@Danjsalt @Sam_Teez Can you refer me to this childminder who is 900/month? Feel like an idiot for having paid 2k for years
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Dan Salt
Dan Salt@Danjsalt·
@Sam_Teez I wouldn't use a nursery - I would use a child minder - which is what we did And?
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Dan Salt
Dan Salt@Danjsalt·
On the basis that they're both earning £110,000 and have a student loan it means they'll clear about £5,500 each per month So that's a combined income of around £11,000 a month Let's assume childcare is £900 each - you could get it cheaper using a child minder which is what my wife and I used So that means they would have £9,200 for a house and bills per month That excludes their additional income from the holiday lets etc Now I think the British tax system is as broken as the rest of the state however the idea they can't afford more children is bonkers I suspect what they mean is they can't afford another without impacting their lifestyle
Nick, 30@an0n_Nic

But this is exactly the point. The UK remains a great place to live when you’re on £50k, paying little tax, spending very little. If you actually earn a high salary, it’s not such a great place relative to the effort of earning a high income when ~60% goes on tax.

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Andrew Neil
Andrew Neil@afneil·
The ongoing decline of Europe, in one chart.
Andrew Neil tweet media
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Mark Szepieniec
Mark Szepieniec@mszepien·
@levie What are consumer analogs of this? What kind of day to day activity would we have an agent handle which we now don’t bother doing?
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Aaron Levie
Aaron Levie@levie·
In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before. I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before. Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent. This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects. And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on. If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale. And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.
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the tiny corp
the tiny corp@__tinygrad__·
Thanks to sirhcm, tinygrad now supports all the backends in Mesa by rendering to NIR. One of the Mesa backends is NAK, and with it, we can compile to SASS. An NVIDIA free stack! github.com/tinygrad/tinyg…
the tiny corp tweet media
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Mark Szepieniec
Mark Szepieniec@mszepien·
@CentristDad5 @AaronBastani Where in London are there family homes (3+ beds) near good schools for 500k? Precisely this problem has me actively looking elsewhere.
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CentristDad
CentristDad@CentristDad5·
@AaronBastani It’s bad but. It that bad. A couple of 50k each can buy a house for 500k. Schools are very good. Access to culture and museums unique. I struggled a bit to raise my kids but I wouldn’t have wanted anything else.
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Mark Szepieniec
Mark Szepieniec@mszepien·
@mr_james_c @WorkMJ Arguably China is run by bureaucrats too though? Isn’t there just more purpose to how China is run vs EU which seems to be ultra cautious across the board?
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Philipp Schmid
Philipp Schmid@_philschmid·
Serving a model at scale is hard. Serving it across three hardware platforms (AWS Trainium, NVIDIA GPUs, Google TPUs) while maintaining strict equivalence is a whole other level. Makes you wonder if the hardware flexibility is truly worth the hit to development speed and customer experience for them.
Philipp Schmid tweet media
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Sophy Ridge
Sophy Ridge@SophyRidgeSky·
Nadine Dorries defects to Reform - @DailyMail break the story Nadine Dorries sensationally defects to Nigel Farage's Reform party and declares: 'The Tory Party is dead' | Daily Mail Online
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Mark Szepieniec
Mark Szepieniec@mszepien·
@prestonjbyrne @TinaNguyen I don’t understand why it needs a US court to declare that a foreign law is not enforceable on US soil? Surely that would be the default already?
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Preston Byrne
Preston Byrne@prestonjbyrne·
New piece by @tinanguyen in the Verge today: "Byrne’s legal goal, if Trump doesn’t intervene, is more aggressive than Wikipedia’s: he wants a US federal court to declare that the OSA is not enforceable on American companies."
Preston Byrne tweet media
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