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How the JVM Optimizes Generic Code – A Deep Dive [video]

https://www.youtube.com/watch?v=J4O5h3xpIY8
1•pron•1m ago•0 comments

A. J. Ayer – ‘What I Saw When I Was Dead’ (1988)

https://www.philosopher.eu/others-writings/a-j-ayer-what-i-saw-when-i-was-dead/
2•isomorphy•3m ago•0 comments

Show HN: Lmcli v0.5.0 – A useable tool for LLM minimalists

https://codeberg.org/mlow/lmcli
1•wolttam•9m ago•0 comments

A Long Elusive Lung Cancer Target May Be Yielding to New Drugs

https://www.wsj.com/health/pharma/a-long-elusive-lung-cancer-target-may-finally-be-yielding-to-ne...
1•marc__1•12m ago•0 comments

12 types of Submarines: A detailed guide to powerful underwater naval vessels

https://timesofindia.indiatimes.com/defence/news/12-types-of-submarines-a-detailed-guide-to-power...
1•rustoo•13m ago•0 comments

On the Cult of Meetings

https://yanmaani.net/on-the-cult-of-meetings/
1•yanmaani•16m ago•0 comments

What Claude Code Chooses

https://amplifying.ai/research/claude-code-picks/report
1•ville•22m ago•1 comments

Hand Paintings and Engravings in Rock Art

https://www.bradshawfoundation.com/hands/hand_paintings_world_rock_art/index.php
1•jruohonen•23m ago•0 comments

NSA using Anthropic's Mythos despite blacklist

https://www.axios.com/2026/04/19/nsa-anthropic-mythos-pentagon
3•jbegley•25m ago•1 comments

Show HN: NYC Guessr – GeoGuessr for NYC but with live video cam footage

https://nycguessr.vercel.app/
2•aldrinjenson•25m ago•0 comments

Blue Origin's rocket reuse achievement marred by upper stage failure

https://arstechnica.com/space/2026/04/errant-upper-stage-spoils-blue-origins-success-in-reusing-n...
2•rbanffy•26m ago•0 comments

Drawmode: MCP server for Excalidraw architecture diagrams with auto-layout

https://github.com/teamchong/drawmode
1•rahimnathwani•27m ago•0 comments

Should Your Patient Be on Statins? Maybe the Eyes Can Tell

https://www.medscape.com/viewarticle/should-your-patient-be-statins-maybe-eyes-can-tell-2026a1000avs
3•brandonb•27m ago•0 comments

Good APIs Age Slowly – Yusuf Aytas

https://yusufaytas.com/good-apis-age-slowly
14•kiyanwang•27m ago•0 comments

I saw MOVA's new 3D printer handle 36 colors without the waste

https://www.xda-developers.com/movas-3d-printer-handle-36-colors-without-waste-changes-everything/
1•rbanffy•28m ago•0 comments

Documentation Is a Leaking Pipe

https://medium.com/zenzic-engineering/your-documentation-is-a-leaking-pipe-7c1d6f4a84d0
2•PythonWoods•30m ago•1 comments

Hitachi Ltd, Part I – By Bradford Morgan White

https://www.abortretry.fail/p/hitachi-ltd-part-i
1•rbanffy•31m ago•0 comments

How Wales' most obese area is declaring war on junk food

https://www.bbc.co.uk/news/articles/c36r43zjzppo
1•mmarian•31m ago•0 comments

MAGA Is Winning Its War Against U.S. Science

https://paulkrugman.substack.com/p/maga-is-winning-its-war-against-us
42•devonnull•31m ago•10 comments

Open Standard for socketable CXL-based DDR

https://github.com/Luiguard/XMM-Standard
2•Luiguard•32m ago•1 comments

How Aesop and Jean de la Fontaine help us learn new languages

https://antipodeanodyssey.wordpress.com/
1•jruohonen•34m ago•0 comments

Light Phone III

https://www.thelightphone.com/lightiii
5•sssilver•35m ago•1 comments

The Economist who was terrified of AI just found a rare reason for hope

https://fortune.com/2026/04/19/alex-imas-human-jobs-ai-economy-chicago-economist-substack-doomsda...
1•Brajeshwar•37m ago•0 comments

Ancient-DNA Study Reveals Natural Selection Has Accelerated in Evolution

https://hms.harvard.edu/news/massive-ancient-dna-study-reveals-natural-selection-has-accelerated-...
3•consumer451•37m ago•0 comments

Show HN: EIDWTimes – Predicting airport wait times with ML for a school project

https://eidwtimes.xyz/
3•odig•38m ago•0 comments

Web Design Awards have been announced

2•Pyades•40m ago•0 comments

Show HN: YouDeserveNow, Justifications for Treating Yourself

https://www.youdeservenow.com
1•oneprofiledev•41m ago•0 comments

The LLM costs are not going up

https://simianwords.bearblog.dev/conclusive-proofs-that-llm-costs-are-going-down/
2•simianwords•41m ago•0 comments

The coming global food crisis

https://www.ft.com/content/36343e24-b06f-434d-a7e5-6046e7bcf3df
1•Anon84•41m ago•1 comments

Why was a plane too heavy for take-off at Southend Airport?

https://www.bbc.co.uk/news/articles/cn8dp480p0no
1•edward•43m ago•0 comments
Open in hackernews

Verum, examined – a systems language for an age when humans write less code

https://verum-lang.org/blog/verum-examined
4•old8man•1h ago

Comments

BrianneLee011•1h ago
By focusing on mathematical verification, this method aims to solve the trust deficit in mission-critical AI systems, moving beyond probabilistic RAG solutions.
old8man•1h ago
thanks.. I would phrase the pitch differently though. Verum is a systems language, not a method for AI systems. The thing that is actually load-bearing is that verification is a knob (@verify has seven levels, same source promotes from runtime checks to certified proofs without a rewrite), memory safety has three cost-tiers you pick per function, and runtime dependency injection and compile-time metaprogramming share one primitive. RAG is a retrieval technique for LLM prompts and is unrelated. The nearest prior art for the verification gradient is SPARK, not anything AI-adjacent..
openclawclub•1h ago
The premise of a language designed for the era of AI-written code is interesting. Formal verification at the language level could help with the trust problem — when AI generates code, you need stronger guarantees than tests provide. Curious how this differs from approaches like TLA+ or model checking embedded in the workflow rather than the language itself.
old8man•55m ago
Good question. The main difference is where the spec lives and who enforces it.

TLA+ is a specification language separate from your implementation. TLC model-checks the spec. Whether the code faithfully implements it is on you. Catching a bug in the design is not catching it in the code.

Workflow model checkers like CBMC, KLEE, SPIN run on code but are bolted on. Usually bounded, usually assertion-style, no type-level integration.

Verum puts the refinement into the type itself. Int { self > 0 } is the type, and SMT discharges it during type checking. Same pass. User predicates declared @logic become SMT-LIB define-fun-rec axioms, so the solver reasons about them structurally rather than treating them as oracles. If SMT gives up, 22 named tactics are first-class; if you need cross-verification, @verify(thorough) races Z3 and CVC5 in parallel and treats disagreement as a diagnostic.

Second axis: verification is a gradient. @verify(runtime) through @verify(certified), same source. TLA+ has no gradient. CBMC either discharges an assertion or does not.

Third axis, the one I think is underappreciated: Verum's verification layer is backend-agnostic. Obligations are classified by theory (arrays, LIA, strings, nonlinear) and routed to whichever solver handles that fragment best. When a better solver appears, existing proofs don't break. That is closer to a capability system than a monolithic verifier.

For @verify(certified), the compiler extracts the proof term from the solver's log and embeds it in a .verum-cert archive exportable to Coq, Lean, Dedukti, or Metamath. A downstream consumer can re-validate offline with an orthogonal tool. That is the move TLA+ and CBMC structurally cannot make.