I wonder how routinely wearing compression socks interacts with this proposed mechanism.
Always thought it interesting that for certain diagnosis wearing them until end of life is indicated according to current guidelines and we don’t expect maladoption (weakening of the connective tissue). Id kind of prefer/would be interested in a workout based approach, also interesting what knock on effects such workout would have on the larger system
Im not quite sure if the current paradigm of LLMs are robust enough given the recent Anthropic Paper about the effect of data quality or rather the lack thereof, that a small bad sample can poison the well and that this doesn’t get better with more data. Especially in conjunction with 4) some sense of truth becomes crucial in my eyes (Question in my eyes is how does this work? Something verifiable and understandable like lean would be great but how does this work with more fuzzy topics…).
Hi, Kilian here :) ML engineer / research-minded generalist with a recent M.Sc. in Informatics from TUM, including a thesis on machine unlearning in medical imaging (@Harvard Medical School). I’ve worked on problems like reinforcement learning for tumor landmark detection in MRI, and deep learning for physical systems and protein structure prediction.
I like forming own ideas and following them through — from literature review to implementation, evaluation, and iteration. I can reproduce papers, fine-tune models, explore new methods, and design experiments that actually test hypotheses. I’m especially motivated by early-stage work that blends research thinking with practical engineering.
In team settings, I tend to gravitate toward coordination and planning roles, and outside of work, I’ve led a 300+ member volleyball department for several years — which taught me how to manage people, not just models.
I'm looking for roles at the intersection of research and engineering, eg early-stage AI projects where curiosity, ownership, technical depth matter and impact-driven development are valued.
To add some nuance, unused/unnecessary sugar will cause diabetes.
If you are in high cardiovascular load consuming more than you can take in as eg with long distance triathlon, to my knowledge you will not increase your diabetes risk. It's more a matching supply and demand thing.
Genuine question, how does multi step reasoning work for you then?
Like eg if you have some math problem that's trivially to solve individually but needs multiple steps, lets say 16 * 3 + 5?
How does 16 * 3 = 48 land in some 'register' of your brain (short term memory), so that you can then add 5 to get to 53? Maybe 16 * 3 + 5 is to easy for you and you'll just 'see' it but the question still stands, just choose a more complex problem.
Isn't the same meta process at play when thinking about more fuzzy topics?
Well to play the devils advocat, i think this is useful to have, at least for ‘Open’Ai to start off from to apply QLora or similar approximations.
Bonus they could even do some self learning afterwards with the performance improvements DeepSeek just published and it might have more EQ and less hallucinations than starting from scratch…
ie the price might go down big time but there might be significant improvements down the line when starting from such a broad base
Where: L stands for the sequence length. T denotes a fixed constant that accounts for compression and selection time in Mamba's autoregressive inference. C reflects the fixed size of the SSM (State Space Model) latent state in Mamba
Does anyone know how long they have been at this? Is this mainly a reimplementation of the physical intelligence paper + the dual size/freq + the cooperative part?
I dislike the cardan tunnel of the shared ICE/BEV platform if you look at eg the i4. It exacerbates the problem of all (aerodinammically efficient) BEVs with a low roof line: blood flow problems due to hip impingement is bound to happen due to the "head between knees" sitting position in the back.
My main gripe is no 800V, it would be a sane travel car with that.
No frunk to store the possibly wet and dirty ac cable. Yes they exist on the aftermarket but the car is a premium product, one shouldn't have to deal with this.
My personal EV tech goal/dream is 400km range in between 20-80% SOC, chargeable in <20 minutes. Ideally as a worst case ie cold outside -5C, 140kmh avg. And the whole package affordable: <50k new, ideally even <30k. Let's hope we'll see this kind of volume model sooner rather than later. My hope is that it could significantly improve the QOL for many people in cities worldwide and help further build out renewables by offering grid stabilization while not in use (this dream unfortunately requires ~100kwh, which will result in a >2t vehicle so tire rub will probably increase slightly, though i think its a worthwile trade off). So i guess my last gripe is price, yes its a premium product but the production complexity and price should go down vs BEVs...
Yeah its a mixed bag in germany in my eyes.
All of the big brands have a real electric platform minus BMW. 800V isnt pioneered with them either.
VDA is pressuring for HVO100 bs. Mercedes just pulled back on the electric only strategy. I guess they figured that most of the added value is with the batteries and being deeply integrated there and thats not really their cup of tea, so far at least.
There where Taycans for 30k$ which was a real great deal if your the second buyer and not the first.
On the other hand the id family looks ok, facelift good. The a6 is pricey at 100k but is the first really capable german highway ev, not as premature as the eqs…
Always thought it interesting that for certain diagnosis wearing them until end of life is indicated according to current guidelines and we don’t expect maladoption (weakening of the connective tissue). Id kind of prefer/would be interested in a workout based approach, also interesting what knock on effects such workout would have on the larger system