Dmitry Negoda
3.4K posts

Dmitry Negoda
@DmitryNegoda79
Freelance C++/CUDA/ROCm/Vulcan programmer. High Performance Computation. Algorithms, GPU, Cryptography. Live and let live.
Грузия Katılım Temmuz 2023
199 Takip Edilen115 Takipçiler

@devabram Haskell looks great, living hell in real projects.
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Which is, of course, nonsense. Keeping the algorithms secret adds A LOT to the security. They say it so that the algorithm developers would expose their algorithms for study. There's no other reason for stating this nonsense aloud.
Computer Science@CompSciFact
Kerkhoffs' Principle: The security of a cryptosystem should not depend on keeping the cryptographic algorithm secret.
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@theswansjr Retards call Bitcoin the Epstein coin. That's how you know you shouldn't talk to them.
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@TrueGemHunter @CryptoApes62 When stock drops, they sell BTC to buy more stock. When the market is bearish, they buy BTC.
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@CryptoApes62 Because it follows every time when stocks are down 😔
If NASDAQ drops 1 percent Bitcoin drops 2-4%
If NASDAQ pumps 1% BTC drops 0.5% or at best pumps 0.5%
Looks like if the stock market goes into correction BTC and all crypto will crash again
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@Daniel__Street @FixxTheMoneyy That's what lightning is for.
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@FixxTheMoneyy BTC abandoned peer-to-peer electronic cash. High fees made micropayments impossible. It also limited scaling, removed instant payments, and removed Bitcoin’s original smart contract capabilities.
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@JustDeezGuy I guess NVIDIA has something to do with that.
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@DmitryNegoda79 What’s funny about this is we’re learning LLMs do reduce to Bayesian inference: <news.ycombinator.com/item?id=464390…>
The industry moved past Bayes WAY too early, chasing the next shiny thing, rather than figuring out it was the “belief net” architecture that was the problem.
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I’d say the opposite: AI that isn’t based on (algorithmic, i.e. computable) information theory has no claim to being AI.
<hutter1.net/ait.htm>
Dimitris Papailiopoulos@DimitrisPapail
Information theory is a mathematical theory and a language, not a scientific theory that explains phenomena. Slapping mutual information on all of AI’s mysteries won’t help explain them.
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Using AI instead of simulation for robotics because "it can adapt".
Anyone believes this nonsense? It's all upside down: a simulation model can adapt to the new environment much faster that AI ever would. It will take a simulation one millisecond to estimate properties of new material a robot interacts with. Or adapt to vibration. It will take forever to collect and train AI on all possible data. And what happens if you upgrade the sensors? You will have to do it all over again.
Just how much do they pay you for pushing mass surveilance and NVIDIA hardware?
youtu.be/ms6P8b1cM9M?si… via @YouTube

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I think everyone who hosted a project on Github should stop doing so. Yes, I think AI killed open source. This isn't gonna work any more.
Ray@raysan5
Wow! It seems somebody already vibe-coded a game-engine with an extremely similar API to raylib... unfortunately no mention to raylib, at all... 😓
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@CodingFiend @ryanlpeterman Thankfully, Stroustrup has nothing to do with C++ for quite some time. It's in the hands of the ISO C++ committee.
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@ryanlpeterman Stroustrup is a pompous nincompoop
C++ is an abomination and thankfully, I never had to use it
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Bjarne Stroustrup is the creator of C++ and a former researcher at Bell Labs at its peak. I interviewed him about:
• What made Bell Labs different
• Programming language design: types, memory safety, bootstrapping
• When abstraction improves performance
• Anecdotes from building C++
• Thoughts on AI writing C++
• Mistakes he'd change while building C++
Where to watch:
• YouTube: youtu.be/U46fJ2bJ-co
• Spotify: open.spotify.com/episode/52pEgo…
• Apple Podcasts: podcasts.apple.com/us/podcast/the…
• Transcript: developing.dev/p/creator-of-c…
Thank you to this episode's sponsors for supporting my work:
• Cursor 3: a unified workspace for building software with agents, check it out at cursor.com
• WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at workos.com
Timestamps:
0:00 - Intro
0:50 - The origin of C++
8:46 - What Bell Labs was like
17:24 - Dennis Ritchie
24:00 - When to build a programming language
31:59 - Bootstrapping a language
33:58 - C++ is not object-oriented
37:32 - Discussing type systems
46:20 - Memory safety
49:26 - Standards committee anecdotes
1:09:40 - Adding automatic garbage collection to C++
1:18:25 - Template instantiation is Turing complete
1:21:57 - Abstraction and performance
1:28:51 - AI writing code
1:35:54 - His motivation
1:39:18 - Famous quotes
1:46:48 - Reflecting on building C++
1:49:12 - Top C++ book recommendation
1:50:59 - Advice for his younger self
1:58:06 - Outro

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