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Ollaya – Ollama for open-source, Jev-style decision models

https://ollaya.dev/
100•Ardakilic•1h ago•31 comments

Alan Kay: Shannon gave us a way of dealing with noisy channels [video]

https://www.youtube.com/watch?v=Cjntrqhn8pk
55•behoove•1h ago•8 comments

Advice to a Beginning Graduate Student (2001)

https://www.cs.cmu.edu/~mblum/research/pdf/grad.html
17•nicoraga•38m ago•2 comments

Platform-independent SIMD in Go

https://go.dev/blog/simd-experiment
294•yurivish•8h ago•111 comments

First Principles Thinking

https://sunilsadasivan.com/writing/first-principles-thinking/
150•sunils34•5h ago•61 comments

Git-bug: Distributed, offline-first bug tracker embedded in Git

https://github.com/git-bug/git-bug
239•alentred•8h ago•83 comments

U.S. appeals court upholds designation of Anthropic as supply chain risk

https://www.cnbc.com/2026/09/25/pentagon-anthropic-ai-risk-appeals-court.html
252•cramer4next•4h ago•387 comments

Google's first Suncatcher orbital data center test launches October 1

https://arstechnica.com/google/2026/09/googles-first-suncatcher-orbital-data-center-test-launches...
10•sbulaev•21h ago•1 comments

Meta's Muse appears to use an OpenAI model labeled muse-special

https://mouse.dev/blog/muse-special/
36•Aeroi•1h ago•17 comments

Pentium II at 600Mhz with Voodoo 3 Emulated on 86Box with M6 Mac Mini

https://nyaa.sh/reviews/mac-mini-m6-emulation
234•hugh4life•12h ago•105 comments

Ink and Switch interactive homepage

https://www.inkandswitch.com/
195•iFreilicht•10h ago•25 comments

Supreme Court permits states to use SAVE database for citizenship checks

https://cyberscoop.com/supreme-court-save-database-voter-citizenship/
19•speckx•22m ago•3 comments

Factorio that you can touch

https://factorio.com/blog/post/fff-447
235•ibobev•5h ago•59 comments

Show HN: Doom or Bloom, map your AI worldview

https://www.doom-or-bloom.com
33•transitivebs•2h ago•21 comments

Amiga Screens: A Primer

https://www.datagubbe.se/amscr/
107•msephton•12h ago•25 comments

Zelensky says Russia has widened attacks to hit Ukraine's data centres

https://www.bbc.com/news/articles/c84gkwgk7d06o
65•dabinat•54m ago•45 comments

Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design

https://github.com/devdotfast/whiteboard
382•sidharthkmenon•1d ago•127 comments

What About Rails?

https://jardo.dev/what-about-rails
258•jrochkind1•17h ago•166 comments

Boards of Casio

https://www.ambionix.com/blog/boards-of-casio/
91•fidotron•10h ago•26 comments

Typst makes big strides

https://lwn.net/Articles/1092993/
39•leephillips•3h ago•3 comments

CVE-2025-13032: Entering and Breaking the Avast Antivirus Sandbox Part 2

https://www.safateam.com/intelligence-hub/research/technical-articles/cve-2025-13032-entering-and...
102•safateam•12h ago•27 comments

Why is the liver so weirdly regenerative?

https://dynomight.substack.com/p/liver
536•jbotz•1d ago•266 comments

Show HN: Hamilton – a no-internet Android health dashboard, named after my dog

https://play.google.com/store/apps/details?id=com.gads.hamilton&hl=en_US
6•hamilton_app•7h ago•10 comments

What happens when you analyze your favorite college football team like the CIA?

https://www.cultivatelabs.com/posts/what-happens-when-you-analyze-college-football-like-the-cia
6•adam•6h ago•7 comments

Rails World 2026 Opening Keynote [video]

https://www.youtube.com/watch?v=vDjW_dRyKXY
415•an0malous•2d ago•459 comments

2DWillNeverDie

https://2dwillneverdie.com/
318•surprisetalk•3d ago•81 comments

Astronomer watches Starlink satellites sinking to build a 'planetary barometer'

https://www.theregister.com/science/2026/09/25/astronomer-watches-starlink-satellites-sinking-to-...
13•whh•1h ago•1 comments

Opus 5.5 is good at explainer videos

https://launchvideo.io
392•iacguy•23h ago•210 comments

Gravity Seems Holographic. What Does That Mean for Reality?

https://www.quantamagazine.org/gravity-seems-holographic-what-does-that-mean-for-reality-20260925/
65•ibobev•4h ago•70 comments

Toyota is taking the Corolla electric

https://electrek.co/2026/09/23/toyota-best-selling-corolla-electric/
418•cisc•1d ago•763 comments
Open in hackernews

Ollaya – Ollama for open-source, Jev-style decision models

https://ollaya.dev/
91•Ardakilic•1h ago

Comments

datadrivenangel•1h ago
Are there many models that are comparable to Jev for generic decision making?

Smarter move if you have an eval set is to just train a classifier and call it a day.

rgbrgb•59m ago
there's this thing with a bunch of similar models https://huggingface.co/spaces/multimodalart/jev-decision-ind...

top open one is trained by perplexity cto for $3k, kinda cool https://x.com/denisyarats/status/2102252088067850507

physicallyIllfr•30m ago
<<<"i was curious to see if i could train a competitive Jev-like model completely autonomously with a swarm of agents using our internal system."

Bro is writing off the H200 lol

On a sidenote I really can't stand the term "swarm" and definately plays into AI doomerism.

cobanov•44m ago
The link rgbrgb posted is a good overview. The best open ones are close to Jev now, but they're big models. And I agree, if you have an eval set for a fixed task, a trained classifier is the better choice.
emmettbt•1h ago
Cool... but this does seem undermined by the fact that Ollama can add support for decision models at any time.
cobanov•43m ago
Fair, and I'd be happy if they did. Ollaya uses the same API as Jev, so your code isn't tied to it either way
accountrequired•42m ago
and that ollama is go-llama and not rust, so it's not really the ollama of anything
eserozvataf•56m ago
great project for empowering open-source alternatives.
rkovashikawa•45m ago
open-source is the only way for safe AI development. whoever doesn’t share the weights/code will lag behind.
cobanov•43m ago
Thanks!
ranyume•56m ago
>Run decision models locally.

>example is a text classification task instead of a decision

cobanov•45m ago
Fair point, that example is basically classification. I'll change it to something that looks more like a real decision.
OgAstorga•36m ago
text classification is equivalente to decision. This is exactly the same thing Jev does.
abirch•32m ago
Jev does it more efficiently because it doesn't use an LLM https://typesafe.ai/blog/introducing-system-one-models-and-j...
ricardobeat•29m ago
It is not. In a benchmark with actual decisions - navigation, traffic, waypoints - laya does slightly better than a small classifier, with very low correlation to state changes.
ranyume•29m ago
If it has four legs, a tail and barks why not call it a dog?
george_max•55m ago
I am fairly confident if Jev-style decision models are seen as prominent (which, they seem to be), Ollama will support them. Surprised the team hasn't implemented this already.
handfuloflight•55m ago
Sounds good on latency but how is its actual decision quality vs. Jev?
cobanov•44m ago
Depends on the model. The small ones I support today are well below Jev on harder queries, but fine for simple, well-defined questions. The open models that get close to Jev are bigger, and I'm adding support for those next.
george_max•51m ago
Has anyone actually seen better or the same results with Laya compared to Jev? From my experience, Laya performs significantly worse. It's less confident and often makes wrong decisions with more complex queries.
cobanov•46m ago
Developer here. You're right, Laya is a lot weaker than Jev, especially on harder queries. It's a small model, so it's fast, but that's the trade-off. The open models that get close to Jev are much bigger, and running those is what I'm working on next.
mikodin•18m ago
What are the models? I am super curious in these as well
scronkfinkle•45m ago
Yes. JEV generalizes better because they probably have an enormous corpus and trained on it for a long time. Laya's out of the box model is much weaker. However, in the age of LLM's it's incredibly easy and cheap to generate large datasets to fine tune laya for your task, and the training loop is pretty quick and cheap too.

It's so easy that I question why I would ever pay for JEV when eventually I'll have done enough random things that I will also have a large corpus and likely a general model as well.

mtkd•13m ago
Isn't the point of Jev that it generalises better?

It's a fast classifier you can use out-the-box, ~1.5bn tokens is about $40 (I've been hammering it)

It just works ... a whole bunch of low-level/low-importance workflow stuff that was getting farmed out to small/fast LLM models now has a competitive alternative ... and bits that hadn't even been considered to go into some external descision/classifier service can be tested/deployed at ~$0.00003/req

I don't get this wall of negativity on it, it's genuinely innovative/useful tech ... would expect HN to be more positive, regardless of whether it's the absolute best execution

mococa•16m ago
It would be really cool to have LLMs and System One in a single tool - in this case, if Ollama implemented it.
gauravsapkotanp•3m ago
I have also tried this and its really awesome
gchamonlive•20m ago
Because this specific dog only barks in structured text
hbrn•28m ago
"Decision model" is just marketing jargon.

decision model = classifier

system one model = small non-reasoning LLM

noul = boolean

confidence = f(probabilities)

It's sad to see how gullible engineers are today.

shepardrtc•8m ago
It really does just work. And it works so well I already integrated it into my product. Saves me about 75% of costs for the section its working in, which isn't a small amount. I see a lot of negativity and I don't really get it either. Its so cheap and so fast, why not give it a try?
iamflimflam1•24m ago
Nothing yet. Unfortunately it sometimes feels like our industry has been overrun by grifters and chancers.

I’m sure this has been a gradual and long decline. Maybe it even started with the dot com boom and accelerated with crypto. With AI it seems to have got worse.

jonmagic•8m ago
I've been following jevbench twice a day for the past week and that's been a lot of fun. Latest update:

Rank System Score Public / sealed accuracy Evidence

1 decider-4b v2 64.13 83.5% / 34.7% Evaluator-run, offline

2 Jev 1.13 63.29 86.6% / 36.7% Evaluator-run API

3 JevK5 v0.2 62.04 85.3% / 33.1% Evaluator-run

4 Cygnet 12B 61.76 87.9% / 33.8% Evaluator-run, offline

5 Hopper 59.43 82.3% / 34.1% Evaluator-run

28 Kev 4B 36.14 66.2% / 22.4% Evaluator-run

41 Laya 421M 30.25 58.4% / 30.8% Evaluator-run