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teleforce

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www.humblebundle.com 8h ago

Raspberry Pi, Picos, Hats Humble Book Bundle

teleforce
6pts1
www.ciscopress.com 8h ago

Securing AI Using Zero Trust Principles

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3pts0
github.com 12h ago

Awesome edge computing

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1pts0
shadow.github.io 12h ago

Shadow: Experimentation tool simplifies research, dev, testing and eval of app

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1pts0
www.servethehome.com 1d ago

Intel Foundry nabs a custom ASIC win with Fortinet

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4pts0
www.raspberrypi.com 1d ago

AI Projects with Raspberry Pi

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www.bbc.com 1d ago

Burnham is fifth UK PM in four years, now he'll try to buck the trend

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5pts1
wirelesspi.com 1d ago

Wireless Communication Software Defined Radio (SDR) Course

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www.eetimes.com 1d ago

Probabilistic computing is here; here is how it works

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7pts2
www.theguardian.com 1d ago

AI consciousness is a red herring in the safety debate

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11pts0
ieeexplore.ieee.org 2d ago

10x and 100x increase in CPU core and node bandwidth, respectively over 20 yrs

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4pts0
www.euronews.com 2d ago

Chinese AI model Kimi K3 halts new signups amid skyrocketing demand

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3pts1
www.scmp.com 2d ago

Yunnan's mineral wealth and border corridors could solve China's Malacca dilemma

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2pts0
www.visualcapitalist.com 2d ago

Countries with more tourists than locals

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4pts2
oceanographicmagazine.com 2d ago

Remarkable icefish nests found under Antarctic ice

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4pts0
en.wikipedia.org 2d ago

ICD-11

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www.bbc.com 3d ago

Bananas sprout in Rayleigh Garden UK after 15 years

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183pts142
www.iflscience.com 3d ago

How much horsepower does a horse have?

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2pts1
www.howtogeek.com 3d ago

Five Unix ideas from the 1970s are why Linux still works so well

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3pts0
www.southernliving.com 3d ago

How to prevent white clothes from turning yellow in storage

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9pts1
jmc.stanford.edu 4d ago

A Proposal for The Dartmouth Summer Research Project on AI (1955) [pdf]

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2pts0
fortune.com 5d ago

Buffett reveals he was behind Berkshire's $31B bet on Google

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github.com 5d ago

UIUC AI Teaching Assistant

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27pts3
alejandromp.com 5d ago

Have you built an agent harness yet?

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2pts0
lamport.azurewebsites.net 6d ago

A Science of Concurrent Programs by Leslie Lamport

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arxiv.org 6d ago

Easy Acceleration with Distributed Arrays

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3pts0
www.youtube.com 6d ago

Easy acceleration with distributed array on interactive AI supercomputer [video]

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3pts0
www.storagereview.com 7d ago

Lenovo ThinkStation P3 Ultra SFF Gen 2 Review: Small Chassis, Surprising Power

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3pts0
www.bbc.com 8d ago

What to know about 'explosive diarrhoea' parasite outbreak in US

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41pts9
web.stanford.edu 8d ago

Fundamentals of Wireless Communication (2005)

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182pts16

Don't take it all too seriously, we all die.

Wise wisdoms overall, to have this particular advise from someone who has passed away just hit a different notes.

There's an old Chinese proverbs on being happy:

"If you want to be happy for an hour, take a nap. If you want to be happy for a day, go fishing. If you want to be happy for a year, inherit a fortune. If you want to be happy for a lifetime, help someone else".

I think this can be very fun, practical amd enjoyable approach for teaching and sharing online techical contents especially presenting to the younger generations, but focusing on the non-AI generated contents.

It can be a very good trade-off between the sloppy AI and the boring lectures.

I can see myself doing this in the future, but why they need agents for VTubing, is it because of VTubing platform, marketing/promotion or payment?

Obligatory VTuber Wikipedia entry [1].

[1] VTuber:

https://en.wikipedia.org/wiki/VTuber

If you're familiar with HAM, perhaps Software Defined Radio (SDR) approach is better for you.

There's another relatively unknown wireless communication book by Qasim Chaudhari namely Wireless Communications From the Ground Up: An SDR Perspective, also in the 2nd edition.

There are even GNU Radio experiments course available that you can try alongside the book.

According to the author, the course also covers the fundamental concepts of DSP and SDR without using any mathematics.

[1] Wireless Communications From the Ground Up: An SDR Perspective:

https://wirelesspi.com/book/

[2]Software Defined Radio (SDR) course:

https://wirelesspi.com/sdr-course/

A highly underrated book is also Andreas Schwarzinger's "Digital Signal Processing in Modern Communication Systems", which covers how modems for these systems are actually implemented in real life and is quite approachable from an engineering standpoint.

The book is now in 2nd edition, and I've both of the 1st and 2nd editions, it's really a masterpiece.

The 2nd edition covers many of the 'gotchas' of OFDM implementation and covers several error detection and correction techniques, that're not in the 1st edition.

Quantum and neuromorphic computing have attracted billions in investment and entered the public zeitgeist on the promise of orders-of-magnitude gains in computing. Even though these technologies are still decades away from commercial availability, they’ve been buoyed by a general acceptance that once they come to fruition, the world will never be the same.

The statement is for quantum and neuromorphic not for probabilistic computing.

Given how many papers with quantum computing keywords that you can find in Google scholar and the existence of quantum computing laboratory (simulation or experiment) in nearly every research university on earth, the statement is very true.

I'm not convinced, mostly because things like crypto, which I believe went into ASICs, were based on very slowly moving and mostly understood algorithms.

Yesterday there's a news on a breakthrough for probabilistic computer with 1 million p-bits [1].

Since LLM is stochastic in nature, this type of new computer can be much better than ASIC for processing LLM data.

[1] Biggest Probabilistic Computer Turns Noise into Answers:

https://news.ycombinator.com/item?id=48971938

The most popular resource manager for job submission and queueing system is Slurm. It's being used in majority of TOP500 supercomputers, and overwhelming majority of the world HPCs [1].

SchedMD the leading developer of Slurm has recently being acquired by Nvidia, while Slurm remaining free and open source, but somehow it's Wikipedia entry is not yet updated accordingly.

[1] Slurm Workload Manager:

https://en.wikipedia.org/wiki/Slurm_Workload_Manager

[2] Nvidia Acquires SchedMD (7 comments):

https://news.ycombinator.com/item?id=46277190

the only states that refused to recognize the Eastern Roman Empire as the Roman Empire were the states that were descended from the German invaders and that was because they wanted to claim the Roman mantle for themselves.

Ironically these guys called themselves Holy Roman Empire, it's neither Holy, nor Roman nor an Empire. They're hallucinating hundred of years before AI/LLM.

All of Islam called the East Romans, Rum

Fun fact there's entire Chapter on Rome in the Quran namely Surah Ar-Rum [1]. In the New Testament Bible there's a section or book called Epistle to the Romans, or the letter of Paul to Roman originally written in Koine Greek [2]. But there's letter of Paul not the word of God or Jesus hence called espistle.

There's also an authentic direct letter from the Prophet Muhammad to the Roman Emperor at the time of Hercules inviting him and his subjects to Islam [3]. Please note that Muhammad cannot read or write hence the letter was written for him as dictated by him [4].

[1] Ar-Rum:

https://en.wikipedia.org/wiki/Ar-Rum

[2] Epistle to the Romans:

https://en.wikipedia.org/wiki/Epistle_to_the_Romans

[3] The Holy Prophet’s letter to Heraclius:

https://www.alhakam.org/holy-prophets-letter-to-heraclius

[4] Diplomatic career of Muhammad:

https://en.wikipedia.org/wiki/Diplomatic_career_of_Muhammad

One of my ever favorite AI prompt keywords is ELI5 (Explain Like I'm 5). Last month I asked Gemini Pro to provide me ELI5 explanation on the waveform mechanism of a novel wireless system that I've been working on. To my surprise it described the principle succintly and intuitively as described to me by the original inventor of the wireless system a few years back. I was literally speechless for a minute or two.

The fact that Newton did not cite Alhazen or Al-Haytham in his seminal and infamous optic books in English tell you what you need to know regarding the treatment by the western scholars of the muslims scholars [1],[2].

IMHO, this critical omission caused most of the modern physics and optical books and textbooks did not include Alhazen or Al-Haytham eventhough he literally contributed to modern optics more than Newton himself and lately considered the to be the father of modern science. Most probably the word camera (from the Arabic word kamar meaning room) was derived from his experimental work on optic.

For perspective, I was educated in my high school in England, and in my Physics class no muslim scholars name ever mentioned in my many textbooks and in classes. The same goes to my chemistry and math classes. Guess how many times Newton was mentioned in my physics classes and textbooks? To be honest I lost my count because too many times.

Mind you this little to no credits phenomena happened across the board from math, physics, chemistry, biology, astronomy, medicine, etc.

To put the things in perspective, now if you don't cite seminal prior work related to your research your paper or thesis, it will be subjected to re-submission.

Imagine if Einstein did not even mention Newton's contributions in gravity, the English people will be go to war with Germany. OK, they did but that's for totally different reasons.

[1] Did Isaac Newton plagiarize his work from Ibn-Al Haytham?

https://www.quora.com/Did-Isaac-Newton-plagiarize-his-work-f...

[2] Opticks:

https://en.wikipedia.org/wiki/Opticks

Stealing ideas, intellectual property (IP), etc are happening throughout the age of the human civilization, that does not prevent us as human moving forward.

That's why there's little to no credit given to Muslim scholars (Arabic, Persian, Moorish Spain, etc) by the western scholars, by conveniently dismissing the Muslim golden era as "Dark Ages" but at the same time stealing the knowledge (idea, equations design, tools, etc) for most of the prior inventions by the Muslim scholars, for example the telescope.

Even worse not only the knowledge (ideas, design, equations, tools, etc) in science, engineering and technology were blatantly copied and stolen, no credit is properly given to these Muslim scholars contributions by saying that the Muslim scholars at best were just merely translating the Greek scholars works and ideas [1]. I suspect that Newton also blatantly copied the many great works by al-Haitham (Alhazen) but not giving him proper credits [2].

C'est la vie, and life goes on.

[1] Islamic Astronomy and Copernicus:

https://www.tuba.gov.tr/files/yayinlar/bilim-ve-dusun/TUBA-9...

[2] Ibn al-Haytham (Alhazen):

https://en.wikipedia.org/wiki/Ibn_al-Haytham

Mojo aims to combine the usability of a high-level programming language, specifically Python, with the performance of a system programming language such as C++, Rust, and Zig

Providing usability without GC is an oxymoron.

The best attempt so far for Pythonic compiled language is D, that's probably why it's not mentioned in the Wikipedia entry along side other languages comparison. D has GC by default but manual memory management is supported as well.

Probably compiler researchers need to come with truly determinstic GC like the automotive industry invented the automatic gear. So that other existing compiled programming languages with GC like Go and D can thrive.

I'm glad you mentioned DBOS. I personally think DB based OS or more accurately data-centric OS is the way to go to simplify all the distributed applications (I'm looking at you Kafka!).

In addition to DBOS please check the original data-centric OS proposed by the MIT team based on D4M technology. This new architecture data-centric OS similar to TabulaROSA in concept where data is managed and governed by mathematical relationship in this case associative array based D4M [1],[2].

This concept can be implemented initially on Linux without introducing a totally new OS unless you wanted to (read: VC money to burn), but it's not necessary like DBOS. This is possible now because starting kernel 7.0 Linux support generic non-conventional kernel bypass for memory, storage and compute with io_uring, eBPF and BPF Arena for examples [3].

[1] D4M:

https://d4m.mit.edu/

[2] TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines [PDF]:

hmhttps://web.mit.edu/ha22286/www/papers/HPEC18.pdf

[3] BPF comes to io_uring at last:

https://lwn.net/Articles/1062286/

Another Bronze Age civilization with sophisticated commerce system is Indus Valley Civilisation [1],[2],[3].

The wikipedia entry somehow is outdated [4]. Perhaps some of the new findings are too controversial for the editors, meanwhile reseacher receiving death threat [5].

[1] The Indus Script and Economics. A Role for Indus Seals and Tablets in Rationing and Administration of Labor:

https://arxiv.org/abs/1812.00049

[2] Indus civilisation reveals its volumetric system:

https://www.thehindu.com/news/national/Indus-civilisation-re...

[3] The Indus Script-Computational Analysis and Interpretations (2020) [video]:

https://www.youtube.com/watch?v=iF_nJ4vfG-A

[4] Indus Valley Civilisation:

https://en.wikipedia.org/wiki/Indus_Valley_Civilisation

[5] Rajesh Rao: Computing a Rosetta Stone for the Indus script [video]:

https://www.youtube.com/watch?v=kwYxHPXIaao

True, but the capabilities and knowledge of that model are also frozen in time, so the value of that model declines over time.

Correction: The capabilities and knowledge of that model can be improved via self-distillation, so the value of that model increases over time.

This is where I think self-distillation is the main way forward, and probably the second best thing ever happened to AI/LLM after the transformer.

Based on self-distillation, the value of the open weights models will incease over time for sub-specialization through post-training and fine-tuning.

Please check these very promising recent works and results from MIT/ETH, UCLA and Apple [1],[2,[3]. For example the MIT/ETH self-distillation approach was demonstrated by a single H200 GPU. Apple approach is even simpler that it's simply called Simple Self-Distillation (SSD), pun intended.

[1] Self-Distillation Enables Continual Learning:

https://arxiv.org/abs/2601.19897

[2] Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models:

https://arxiv.org/abs/2601.18734

[3] Embarrassingly Simple Self-Distillation Improves Code Generation:

https://arxiv.org/abs/2604.01193

Did you even watch the video before replying, that's a high quality TED talk instead of the lesser TEDx, presented by a reknowned and reputable professor in the field?

Do you know that interview, podcast, lecture, etc, with an expert reserchers in the field is a valid research evidents and citations?

Here are some of the Rajesh Rao publications on the topic if you even bother to check [1],[2],[3].

Apparently it's just a few minutes to find his papers but you seems to not interested in finding the truth. If you don't believe the results at least respect the scholarly efforts involved. Or find a refute to the facts presented or better yet do your own research to refute them. Failure to do any of the above is just a strawman with in denial attitude.

1) Entropic Evidence for Linguistic Structure in the Indus Script [pdf]:

https://www.science.org/cms/asset/f142c776-4f40-4b10-9d09-a4...

[2] A Markov model of the Indus script: https://www.pnas.org/doi/10.1073/pnas.0906237106

[3] Statistical Analysis of the Indus Script Using n-Grams:

https://journals.plos.org/plosone/article?id=10.1371/journal...

"...it's has been proven to be a valid linguistic script..." No, it has NOT been proven to be a writing system for a language. Indeed the very link you cite [1] says:

Actually I was reffering to a 2011 TED Talk on Youtube by a researcher in this field namely Rajesh Rao a computational neuroscientist, entitled "Computing a Rosetta Stone for the Indus script." It's based on the comparison of the statistical distribution and entropy to other well-known languages such as English, Sumerian, and Old Tamil, as well as non-linguistic systems such as DNA sequences, Fortran programming code, and completely random sequences [1].

The researcher personally received a death threat due to this discovery. Why is the discovery or the hypothesis (depending on your perspective) is very controversial, is telling something. My conjecture is that the Dravidian speaking people is displaced further south to the Indian subcontinent by the "newcomers" (Aryan speaking people), similar to how the Wales/Welsh speaking people was driven further eastword in the British Island by the "newcomers" (English speaking people).

[1] Rajesh Rao: Computing a Rosetta Stone for the Indus script [video]:

https://youtu.be/kwYxHPXIaao