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d0mine

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www.youtube.com 1y ago

I stopped using AI (as a Senior Software Engineer) [video]

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17pts3
www.youtube.com 1y ago

AI Safety Career Advice (and So Can You) [video]

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odysee.com 1y ago

Google's Quantum Computer Is Paper Airplane

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www.reuters.com 1y ago

OpenAI and others seek new path to smarter AI as current methods hit limitations

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www.sciencedirect.com 2y ago

Advancing modern code review effectiveness through human error mechanisms

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mattermost.com 2y ago

Making a Postgres query 1k times faster

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228pts60
www.youtube.com 2y ago

Cooperative C++ Evolution – Toward a TypeScript for C++ – H.Sutter – CppCon 2023

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explosion.ai 3y ago

Against LLM Maximalism

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angg.twu.net 3y ago

Yonatan Zunger – People seem to think “Nazi” is meant as a slur or term of abuse (2017)

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37pts39
www.youtube.com 4y ago

The Science Behind Why We Age – Lifespan with Dr. David Sinclair #1

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www.npr.org 4y ago

Teachers' expectations can influence how students perform (2012)

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www.npr.org 5y ago

Teachers' expectations can influence how students perform (2012)

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2pts0
hackaday.com 5y ago

Color E-Ink Display Photo Frame Pranks [Mom]

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www.youtube.com 5y ago

On the Expressive Power of Programming Languages by Shriram Krishnamurthi

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www.youtube.com 5y ago

Should Knowledge Be Free? [video]

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evolution.berkeley.edu 6y ago

Evolution from a Virus's View (2007)

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1pts1
www.youtube.com 6y ago

Resistance Exercise Will Prevent Disease, Extend Lifespan, Cure Cancer

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blog.acolyer.org 7y ago

Keeping Master Green at Scale

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medium.com 7y ago

The problem with real news – and what we can do about it

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cypher.codes 8y ago

Transforming Python ASTs to Optimize Comprehensions

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www.youtube.com 8y ago

Playing with Python Bytecode – PyCon 2016 [video]

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blog.acolyer.org 8y ago

Can you trust the trend? Discovering Simpson’s paradoxes in social data

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vorpus.org 8y ago

Control-C handling in Python and Trio

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51pts4
www.quora.com 8y ago

How do you find integer solutions to x/(y + z) + y/(x + z) + z/(x + y) = 4?

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36pts6
stackoverflow.blog 9y ago

Text Mining of Stack Overflow Questions

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vorpus.org 9y ago

Control-C handling in Python and Trio

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2pts0
stackoverflow.blog 9y ago

Does Anyone Actually Visit Stack Overflow's Home Page?

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stackoverflow.blog 9y ago

What Programming Languages Are Used Most on Weekends?

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www.vox.com 9y ago

The key findings from the US intelligence report on the Russia hack, decoded

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2pts0
news.softpedia.com 9y ago

Hacker Compromises Fosshub TDistribute MBR-Hijacking Malware–Audacity Affected

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Human Emacs 9 days ago

These are orthogonal:

- there are people who do not want LLM contributions being accepted into emacs itself (legal, maintainers burnout, etc reasons)

- there are projects (such as gptel, pi-coding-agent) that enable LLM usage from within emacs

Both may be true at the same time.

It is more like an ability to recognize the word when it is used in context.

I got ~1/3 that is very generous estimate even for "recall" case (recognize), and it obviously false for the "generate" case (using in speech) where I guess my vocabulary is likely ~1/90 of all English words.

It is how these agencies operate. They mask malevolent activity behind good front (“think of the children“, “age verification“ -> censorship/total surveillance. Medical aid -> overthrowing governments).

MCP is dead? 2 months ago

If you need a network boundary, what MCP provides that REST API + llms.txt can't do?

In practice, you would use an already written implementation, maintained by somebody else. An option that is often ignored by LLM (copy-paste galore).

For example, imagine if textual-serve author would reimplement xterm.js What effect it would make on quality.

LLMs increase technical debt rapidly. It is unclear whether they can deal with the mess they create. But we'll know soon (no need to wait years, to get immovable mess).

The positive side of LLMs is that they confirm experimentally the usefulness of many software engineering practices (testing,docs, adrs, design, formal specs etc)

“Either or” is too extreme. Both can be true at the same time even if at different levels of abstraction eg a table and atoms it consists of may exist at the same time. Depending on the task different levels of abstraction may be useful. It is ridiculous to claim that a table doesn’t exist just because we can prove it is made of atoms (or strings excitation—doesn’t matter here)

On the other hand, "consciousness" concept might be as much useful for modeling thinking as “the four elements” for describing anatomy (not useful at all)—and we create better models eventually.

how our brain construct

is the only part i.e., we perceive what brain predicts no more no less. Optical illusions demonstrate it well.

Sometimes that prediction (our perception) correlates with the light reaching the retina. But it is a mistake to think that we can perceive it directly. For example, we do not see the black hole in our field of vision where there are no receptors (due to our eyes construction).

Another example that makes the point clearer: there are no "wetness" receptors at all but we perceive wetness just fine.

To get perspective(we know what worked), here’s some 50+ years abstractions:

A file is a simple stream of bytes in Unix. (If you think what else it might be then compare to Multics’ segments). Separate processes that may be connected using simple standard I/O streams [pipe] (vs everything is DLL in Multics) — the concept of shell itself (policy vs. mechanism separation http://www.catb.org/esr/writings/taoup/html/ch01s06.html ).

https://retrocomputing.stackexchange.com/questions/15685/wha...

For comparison, you need a new app on iOS for what might have been a shell pipeline (hierarchical file system is absent at user level).

The downfall was long before ChatGPT (personally, I’d burnt out answering the same questions again and again) https://data.stackexchange.com/stackoverflow/query/1926661#g...

The stackoverflow was better than what was before it (*sexchange site). Time will tell how it compares to the AI slop of the dead internet (current generation of LLMs based on human-generated data are great. Let’s see what happens when most of the data is created by bots).

I don't get how camp 1 can ship more than one version (do they jump teams/companies each time?). If your code is immovable mess then how do you add features/fix bugs in time?