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OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•2m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•4m ago•1 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•5m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•7m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•9m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•11m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•14m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•18m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•20m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•24m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•35m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•37m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•38m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•51m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•54m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•57m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
4•throwaw12•1h ago•2 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•1h ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•1h ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•1h ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•1h ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•1 comments
Open in hackernews

A 2,500-year lineage of daemon-like naming conventions, from antiquity to AI

4•troyka•2mo ago
From Greek antiquity to ChatGPT, the description of invisible processes as demonic has shown an astonishing 2,500 year continuity.

Because people often insist on Maxwell's daemon being different than biblical demons, lets sumarize the qualities of a demon:

They are trapped in an infinite loop or compelled to a single domain, operating with superhuman speed or ability, but without autonomy.

Their operations are invisible or unpredictable (probabilistic perhaps).

Humans attempt to coax them into determinism, whether through sacrificing goats / hardware or by rituals and spells / prompt chains.

They tempt humans into dependency, performing tasks that make us weaker or lazier in exchange for power or convenience.

The lineage seems to be consistent:

Greek Antiquity Daimons were invisible intermediaries that executed tasks humans could not witness directly. Their behavior was partially predictable, partially trickster-like, partially dependent on human invocation. They performed singular roles, were neither fully benevolent nor malevolent, and operated in a domain humans could not access.

Bible Demons are fallen beings locked into compulsive routines, in one narrow domain. They offer shortcuts, unearned gains, and convenience at a cost. The compulsive, domain-specific, involuntary labor remains identical to antiquity.

Scientific Demons Kelvin, interpreting Maxwell’s thought experiment, framed the atom-sorter as a demon. The choice was deliberate and provocative. The entity performed a repetitive, invisible, specific task at superhuman speed, violating thermodynamic expectations while remaining trapped in its function. The mythic structure remained unchanged from earlier demonologies.

UNIX Daemons (1970s) MIT programmers adopted the term daemon for background processes. Official justification referenced the Greek spelling, referencing Maxwell, to avoid religious connotations, but the functional parallel is unmistakable. A daemon executes a single task compulsively and invisibly. Humans invoke it. It serves with limited agency of its own. It behaves exactly like every demon preceding it.

Emergence (1980s) Global Workspace Theory reframed consciousness as a collection of unseen operators integrating information. A system built on the same ancient intuition: hidden internal agents shaping visible outcomes. With sufficient interconnection, this collective of operators begins to behave like a higher-order agent. In other words, a network of tiny demons becomes conscious by virtue of their coordination. Or perhaps, at a certain threshold of interconnectedness, the trapped demon slips its bonds.

Simulation Hypothesis (2000s) Bostrom’s argument that reality may be an artificial construction reintroduces a world run by unseen higher-level agents or perhaps casts us in the role of the trapped demons. The metaphysical structure matches older daemonologies.

Terry Davis and TempleOS Davis rejected background processes as literal demonic corruption (in my opinion). He attempted to build a deterministic system free of invisible agents. Instead of probabilistic he implemented a controlled random language model of his scripture generator, a proto language model, attempting to remove its demonic qualities.

AI Systems (2020s and onward) LLMs and AI agents perform tasks at superhuman speed, invisibly, probabilistically, inside partially controlled inference loops. They resemble the human brain in an unexpected way. Both systems understand the world only partially, attempt to solve problems without full information, rely on approximation, fill gaps with hallucinations, and then retroactively attempt to justify or reconstruct their own outputs. Their behavior is not fully determined by input, yet not fully autonomous either.

AI tempts humans into dependency, doing their bidding with less effort. In structure and effect, the ancient description fits more tightly than the modern one.

Comments

nacozarina•2mo ago
superstition was humanity’s first science, and is the science by which we’ve acquired all the others
troyka•2mo ago
And superstition is a good example of our brains trying to overcome its limits by just gambling on the outcome / being probabilistic. Maybe guessing is the right call in absense of other options. If part of a species guesses correctly, it can continue and reproduce. But if it insists on being 100% sure it would be wiped out quickly.
muzani•2mo ago
I may be wrong on this, but I feel like they're different things - a daimon/daemon is simply a spirit, feeling, something that does something. AI is a good example. It's there. It's influential like the wind, but it's also not a proper intact form.

A CS nerd analogy here might be functional vs object - one transforms, the other holds more of a form.

The Christian demon seems a cultural appropriation of it, especially during that era where they were taking a lot of classical philosophical Greek terms and just Christianizing them.

troyka•2mo ago
Yes, I think so too. Christian demons weren't that much different, just described in a more sinister way with some added metal lore.