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I keep seeing a lot of discussion about "Cardano/ADA is dead" over the past two weeks. I used to hold it check its price and movement on bydfi again. So just share my non-professional takes on why it lost momentum. Curious to hear what others think. Price is doing real damage. ADA falling to multi-year lows makes it harder for people to stay patient, even if they still like the tech. Adoption still feels weak. A lot of people expected more visible apps, users, stablecoin activity, or ecosystem growth by now. Governance has become harder to ignore. The failed Cardano Summit funding vote and broader community arguments make the project feel less coordinated. Some ecosystem signals look rough. When tools or projects shut down, it adds to the feeling that momentum is fading. Not saying Cardano is dead at all, but “slow and steady” is becoming harder to defend. Curious how active ADA traders/holders see it. submitted by /u/Choice_Employee_7739 [link] [Kommentare]
How did it happen? More information below! https://x.com/lookonchain/status/2074325873503986103 submitted by /u/b4basit [link] [Kommentare]
Doctors find grey fluid and dead, metallic flesh inside poisoned woman's hip.
Contents Intro: The Day Cryptography Changed Forever Part I: How David Chaum’s eCash Spawned a Cypherpunk Dream Part II: Hashcash or How Adam Back Designed Bitcoin’s Motor Block Part III: If Bitcoin Had a First Draft, Wei Dai’s B-Money Was It Part IV: With Bit Gold, Szabo Was Inches Away From Inventing Bitcoin Part V: How Hal Finney’s Quest For Digital Cash Led To RPOW (And More) This article by Steven Ellis was published in his Medium blog.
This post is backported from my old personal blog, originally published 11 October, 2014. It's similar in theme but very different in focus than my r…
Today I was just casually browsing some jobs with tags [machine learning] on one of those large popular job-sites. What I am seeing really had me astonished. I want to check with Reddit whether I am hallucinating. A non-FAANG/non-Deepmind/.../non-Anthropic industrial automation company is hiring people to work on ML for robots (the latest hot topic). Fine. But then I saw their laundry list of job requirements ("you must meet these"), which include: Deep expertise in LLM, VLA, VLM, action transformers Deep expertise in robot dynamic and kinematic modelling (forward, inverse kinematics, trajectory generation, planning), sensor fusion, model predictive control, reinforcement learning Deep expertise in CUDA GPU programming, FPGA hardware acceleration Familiarity with latest software engineering best practices in Python3 and C++23 Familiarity in one or more of popular ML framework Have top publications in one or more typical ML and robotics conferences This is before they go off listing familiarity with a set of standard softwares/simulators, one of which is called RLib, something I've never heard of. Oh and of course they had these 3+, 5+ "non-academic" experience requirements. I forgot which is which. I was just sitting there confused. Then I checked several more jobs, and it was more of the same (except for some banks). I remember there was a talk by Terence Tao where he divided mathematician into two camps, the analysts and algebraists. He said even among top mathematicians, it is exceedingly rare to find someone who possess deep expertise in both, as each tends to require a different mode of thinking and each is infinitely deep in terms of specialization, theory and insights. And here we have a bunch of ML companies treating these infinitely deep academic fields ranging from robot dynamic and kinematic modelling to large language models like some bizarre MMORPG video-game scenario where you need to be a warrior archer who is also a priest mage. Who are they even hiring, lol? submitted by /u/NeighborhoodFatCat [link] [Kommentare]