Hypernym

We build breakthroughs in long-context for infinite memory + advanced inference solving model scale, context depth & lost in the middle.

[Chris Forrester @Elationate]

I don't brag often. However.

I have won the large numbers.

..61159600317

https://t.co/fHqAxrcJ0j

[Joseph Weinberg @josephweinberg]

To everyone out there listening. This is a first of many to come by @Elationate with a little bit of my help.

Exact Running Times of the Busy Beaver Records for BB(6), BB(7) and BB(3,4): a Lean 4 Formalization with Their Last 200 Digits

More math and large numbers to come.

[Hypernym @HypernymAI]

@ErintheCyborg @vercel 🤩 10x team addition

[Joseph Weinberg @josephweinberg]

Super exciting to see a market starting to be created for AI optimizations with Jev. More to come @HypernymAI

[Pierre Rochard @BitcoinPierre]

Reading the wrong books can ruin your life, especially if you are open minded. Prompt injection with no sandbox.

[Hypernym @HypernymAI]

@philipmoniaga wow same🤩

[Joseph Weinberg @josephweinberg]

Breakthroughs in compression, LITM, hallucination suppression (what we call at @HypernymAI "coherent refusal"), and breakthroughs in recall, when combined, solve this. This curve inverts. The fix already exists, it’s just not evenly distributed - yet.

[Joseph Weinberg @josephweinberg]

Persistent memory has been one of AI’s longest-standing challenges, but practical breakthroughs in context compression and inference are making reliable recall achievable.

Persistent memory recall at incredibly fast speeds has already been achieved at Hypernym. I think 4-8 weeks before an actual system that largely solves long-running memory is production ready.

Total recall remains the ultimate endgame @HypernymAI

[Hypernym @HypernymAI]

@Altimor Pulled the trigger today and switched 100% of Lindy traffic to @HypernymAI , churning from vanilla models. Saves us millions of $ and we're actually seeing an *increase* in context performance on many core use cases. Transformative for the business.

[Hypernym @HypernymAI]

The common belief today is that once models exceed 256k tokens, context performance falls off a cliff.

At Hypernym, we’ve internally proven this widely accepted “fact” is false.

It’s not a technical limitation — it’s simply the result of an industry moving too fast.

No matter which model we apply our infrastructure to, LITM drastically improves — among many other things.

More to come. 🚀

[Hypernym @HypernymAI]

@josephweinberg @elonmusk Wait until they see Modulum, the next evolution of inference and long context persistent memory enhancements. It would put @spacex on steroids.

[Hypernym @HypernymAI]

@growing_daniel only Hypernym is the same(ly awesome)

[Hypernym @HypernymAI]

@pdrmnvd ... u wake up in 2026. u use Hypernym and spend more time touching grass than evar b4

[Hypernym @HypernymAI]

@tszzl and Alexander wept etc etc

[Hypernym @HypernymAI]

@allgarbled Hypernym is nothing without its hypies 🥰

[Hypernym @HypernymAI]

@varunram 👀👀hey

[Hypernym @HypernymAI]

@arushi_ressl literally me rn 😎

[Hypernym @HypernymAI]

@AICollectiveCo 🤩🤩

[Hypernym @HypernymAI]

@3266miles @Sibylline_Labs with Hypernym, your skill is anything but primitive 😼

[Hypernym @HypernymAI]

@knowclarified oh. heyyyy