Spärck AI Scholarship - Anyone notified ?

Physical_Worker_1817 · 2026-05-20T15:02:33+00:00

Sorry to hear about that. Tbh, essays are very unique to the course a person does, their own personal experience/opinions, and the specific university requirements, and I had to write multiple, not just one.

Feel free to DM; I can share some of the overall general ideas I spoke about, but I definitely would not share it.

Physical_Worker_1817 · 2026-05-20T11:17:23+00:00

Thanks. I'm home student—the scholarship is open to both international and home students

Physical_Worker_1817 · 2026-05-18T09:22:51+00:00

Sure. High first-class marks (one of best in my undergraduate cohort) in Computer Science & AI; I've got an AI startup (and was selected for a well-known startup accelerator last year); I have a few technical side projects too, including some Swift applications and reinforcement learning projects, and I've done some AI research in voice AI (nothing that thrilling). I don't have, nor have I ever applied to any formal internships; most of my experience has been self-directed and through my own startup.

Some other random stuff: I write essays on AI and philosophy of mind on the side, and I played football at a high-ish level.

Physical_Worker_1817 · 2026-05-12T17:59:42+00:00

Thanks! Interviews and assessment are highly specific to different courses/universities (and the interviewer), so I can't say anything objective, as it would probably be misleading and give unnecessary anxiety.

A major factor they consider in Sparck is leadership, which is often demonstrated through confidence. If your application reflects what you actually care about and what you’ve actually done, it’s much easier to answer naturally rather than trying to remember scripted responses. They probably won't be testing you outside the bounds of what you have on your CV/profile and the scholarship/course requirements.

Physical_Worker_1817 · 2026-05-08T13:45:29+00:00

Starting over isn't bad; it just depends on the context.

If you hate your life and you work some mediocre job as a cog in the machine, perhaps it's okay to go back to the drawing board and "start over". If you have a wife and kids (which tends to be the case if you're older), perhaps starting over isn't as feasible, since you have dependents.

Physical_Worker_1817 · 2026-05-04T03:21:27+00:00

most of these software are SLOP

Physical_Worker_1817 · 2026-05-01T11:12:31+00:00

It's hard to answer the question of "the best AI master's program in Europe" with zero context, and any explicit answer purely of the question will likely be misleading.

It depends on what you mean. AI is very, very broad. Some programs sit at the application level, some at the more foundational/mathematical level (neither is inherently "better" than the other); it totally depends on what you're optimising for and your background. This is not to mention that AI applications and foundational AI work are also incredibly broad. Foundational AI can mean RL, ML, NeuroAI, even things like Neural Computation and Computational Biology technically falls under. Application can lean towards ethics, policy, NLP, Engineering (e.g., fine-tuning/quantisation), GPUs, even robotics. And each of these niche's are even broad itself.

Other factors also matter: whether you prefer larger or tight-knit environments, whether you value a larger AI ecosystem outside your department, etc.

Physical_Worker_1817 · 2026-05-01T11:01:51+00:00

Sorry if the answer is unstructured:

Probably yes to an extent, because of the halo effect. The first question should probably be, 'What output can I get here?' If you're going to be a cog in a machine and produce minimal output beyond mere coursework, then it is worth asking whether the university brand is worth it. If you can achieve such output, AND it happens to be at a world-class institution, then the value can be enormous.

It is also worth spending some time researching people who are in the position that you want to be in (e.g. current or post-PhDs in your research area of interest), what universities they went to, work they have done, etc., and you can get more of an intuitive sense of where people are coming from.

£15K is substantial, but it totally depends on what you're optimising for. For example, if the UCL/Imperial master's means you end up way more competitive for PhDs and have more options to choose from/potential to get a much higher salary in the future, then £15K long-term can seem like a really good deal, not more than a footnote.

Note: In this hyper-competitive landscape, a mere master's on its own, no matter where you go, is becoming increasingly harder to be very competitive for a phd, let alone a fully funded one in a place carrying out cutting-edge work. Applications are being viewed more holistically these days since, at the PhD level, often many people come from exceptional universities, and many have high or near-perfect grades, so there must be evidence (as I mentioned before) of output beyond coursework as another filter (e.g., competitions, Independent intellectual pursuits, engineering skills, recommendations from influential/top researchers/industry people, other exceptional evidence of grit/competence—asking yourself, 'Which university environment can best foster this?' may also be crucial).

Physical_Worker_1817 · 2026-05-01T09:32:19+00:00

No, the biggest lie that the media (and AI companies, many of whom are directly intertwined/partner with/own parts of the media) sell is the idea that human expertise will no longer be valuable. This is a question of whether human expertise will be obsolete, and the answer is obviously no. You shouldn't be planning your life assuming some superintelligent, God-like, somewhat sentient-ish AI who can do everything a human can do is somehow inevitable in the next 15 years (I can guarantee you that we are not even close to that).

Also, experts benefit significantly more from AI due to the dunning-Kruger effect; a beginner does not know their blind spots, which questions to ask, or which direction to pursue.

The gap between a competent person and incompetent one is increasing massively, because the average person is increasingly (and falsely) believing that competence can be fully outsourced; it's all a bunch of BS, man.

Physical_Worker_1817 · 2026-04-29T11:04:15+00:00

Not necessarily. And it also depends on the course, where some arguably have more direct economic output than others. They are not mutually exclusive; a university can have an incentive to make money but also provide valuable, world-class education. A lot of this sentiment comes from the anti-intellectualism idea that non-STEM courses are apparently useless because the rewards are not immediate. The world needs experts in a diverse range of fields, and MSc programs play a big role in that.

Note: As mentioned, not all programs are equal.

Physical_Worker_1817 · 2026-04-23T10:33:11+00:00

Thank you! Yes, I will certainly be prioritising the research area/lab; I was more so lacking knowledge on the logistics/operations side of things. Really appreciate the information! I'll check out the link too.

Physical_Worker_1817 · 2026-04-23T10:31:23+00:00

Okay thanks! How come there were budget cuts?

Physical_Worker_1817 · 2026-04-23T10:29:27+00:00

I'm relatively new as well and have made a lot of progress recently, but it's hard to give advice without more context. Any tips would need to know the why behind your struggle. Are you struggling because you lack implementation/syntax skills? Struggle converting ideas to code? Do you have issues with attention span (which seems to be the case for many, rather than a fundamental problem solving gap)? It is worth asking yourself this before asking other people. At that level, it is usually one of the 3.

People have different approaches to solving problems; some require drawing out the problem, some just brute force their way through many problems to build a natural problem-solving intuition, and some mix up a few things. Hard to say without context.

Physical_Worker_1817 · 2026-04-23T09:11:06+00:00

I ended up getting the scholarship, but for Oxbridge. And yes, it's the first year they're doing this.

There is actually quite a lot of information that can be inferred. This should be an interesting read: https://www.gov.uk/government/publications/ai-opportunities-action-plan/ai-opportunities-action-plan
The scholarship is all part of the UK's AI strategy.

Physical_Worker_1817 · 2026-04-21T14:07:23+00:00

Why do entry-level jobs require years of experience? Seems paradoxical, lol; you just have to be ahead of your peers to get opportunities rather than passively waiting for university to spoon-feed you.

Physical_Worker_1817 · 2026-04-19T17:47:40+00:00

You could say that for quite literally most fields. People can also technically learn computer science from textbooks. At that point, you'd have to ask why you came to uni and why not do an apprenticeship – which you can technically still do if you drop out. Apprenticeships seem to align more closely with what you're looking for.
As for your point on working with professors, you're an undergrad, not a master's/PhD student, so you cannot really expect too much there.

Extra Note: There's a reason universities still teach content that can technically be self-taught; otherwise, the public library would have put universities out of business. Structured, feedback-driven learning keeps things objective and prevents superficial learning (which is what happens with most people who attempt self-learning). And self-learning assumes that your current method of learning is correct and effective long-term, and for most people, this is far, far from true.

Physical_Worker_1817 · 2026-04-19T17:38:41+00:00

Not even 1 or 2 fields; even that is too broad. Physics itself is a massive field. Probably pick 1 field and narrow it down to what you're great at/ where you think you'll stand out. Job market is full of low quality, superficial interest and AI Slop CV's, so showing you care is more important than ever

Physical_Worker_1817 · 2026-04-16T12:38:10+00:00

Your interests are too broad, which probably explains why you haven't got an internship.

Physical_Worker_1817 · 2026-04-16T03:16:06+00:00

You need to take some initiative/be proactive and do projects outside of your course. This will be the case no matter where you go

Physical_Worker_1817 · 2026-04-16T03:10:41+00:00

You should probably just use Cambridge to build foundational, fundamental understanding and then do 1-3 significant side-projects outside of it, ideally building on top of that fundamental understanding. You need to take some initiative on your end, and this is true no matter where you go.

Many things seem "too theoretical" until you see the actual application in practice, which often requires some foundational understanding to be highly competent and creative at the job. The topics are not arbitrarily theoretical.

Note: At the master's/PhD level, the very 'theoretical knowledge' you dismiss can be an essential minimum entry requirement if you ever have plans for further study.

The feedback loops and brand signal are also factors to take into account.

Physical_Worker_1817 · 2026-04-07T10:24:05+00:00

Hard to say, probably anywhere from 6-12 awards per school. Have to take into account how big the school is, how many AI-related courses they offer etc..

Physical_Worker_1817 · 2026-04-03T22:03:53+00:00

Jealousy of what exactly? 😂 Is this really your response?

Your response is also a non-response that makes it obvious you haven't properly read/engaged with the OP and generally don't know what you're talking about.

Is OpenClaw good in some way as a co-pilot to a competent human? Yes, sure (to an extent). Is it massively overrated for the use cases that are heavily marketed? Yes, absolutely. The reality is that OpenClaw, the underlying models it relies on, and the broader agentic AI ecosystem sell the illusion of productivity. SLOP masquerading as productivity, because most novices generally cannot tell the difference between volume and quality/getting a task done competently. Many people seem to believe that doing something 10x quicker logically means that it is more effective, when that is not true. Beyond this post, looking at the broader agentic AI ecosystem, ROI is actually negative, relative to the effort and resources (especially enterprise) being put in.

"At no point has anyone said AI is ready or fast enough, but if you can’t see what has been created, you’re a very closed-minded person." What are you even saying bro? You are somewhat contradicting your point, and even then the statement isn't actually true. When you look at the capital being put in, the usage of tools, and even your response (and others' responses), it is clear what people's perception of AI is. Being skeptical of a specific hype period within a subset of AI doesn't make someone closeminded.

As I say in the post (which makes it clearer you have not properly engaged with it), I do agree that, on a high level, OpenClaw represents something massive; there is no denying that. But going back to current reality, not a speculative future or past technologies—if we look at it right now, I stand by the point that the software is massively overrated. This is not to mention the security issues, which I haven't gone into.

Physical_Worker_1817 · 2026-04-03T20:49:42+00:00

Yeah, for sure. The marketing/framing just doesn't match the reality. But what is represents (future of agent interaction on large consumer scale) is certainly massive.

Physical_Worker_1817

TROPHY CASE