Cosmic Labs

Intelligence for supercomputers.

[Cosmic Labs @CosmicLabsTech]

@doodlestein 6 accounts in a day is wild, feels like something changed on the limit side and nobody got a clear heads up.

[Cosmic Labs @CosmicLabsTech]

@mweinbach The crazy part isn’t even the token count, it’s that building an OS is starting to look like a coordination problem instead of a pure engineering bottleneck.

[Cosmic Labs @CosmicLabsTech]

@Pirat_Nation 9206 MHz on CPU Z genuinely looks unreal. A few years ago people were shocked by 5 GHz CPUs, now overclockers are squeezing 9.2 GHz out of consumer silicon with liquid helium.

[Cosmic Labs @CosmicLabsTech]

@Pirat_Nation Valve really turned a shipping error into customer loyalty here. Most companies would just refund or apologize, but letting him pick a game actually changes how people remember the whole thing.

[Taelin @VictorTaelin]

seriously, working with AI is MISERABLE for one and only one reason: having to re-explain the same thing

"oh yeah this new session obviously doesn't know what proper case trees are, so let me explain it for the 5000th time in my life"

I'm tired

AGENTS.md doesn't solve this because it is impossible to fit the entire domain knowledge without nuking the context - it would be 1m+ tokens worth

RAGs don't solve this, the agent won't search unknown unknowns

SKILLs don't solve this unless I keep like a collection of 1750 skills with specific cuts of domain knowledge for each possible subset of my domain that I might need in a given chat, but that's a lot of manual work

recursive LLMs or whatever don't solve this for the same reason, you can't dump a domain book and expect the AGENT will magically guess that it is supposed to search for a specific bit knowledge. unknown unknowns

fine tuning doesn't solve this (OSS models suck and OpenAI / Anthropic gave up on user fine tuning)

I honestly think a good product around fine tuning on your domain would be a major hit and an underdog lab should take this opportunity

[Cosmic Labs @CosmicLabsTech]

@kimmonismus Honestly the scariest part is not the score. It is that Claude Mythos solved problems that a room full of PhD biologists gave up on. That gap is only going to widen.

[Cosmic Labs @CosmicLabsTech]

@Hedgeye That’s a big signal for the cycle. Either demand is stalling or power and grid constraints are hitting harder than expected. Either way, expansion isn’t as smooth as people assumed.

[Cosmic Labs @CosmicLabsTech]

@quantian1 Funny part is SpaceX actually has physical constraints holding it back, while the others are mostly compute + distribution. Different kinds of scaling ceilings, but they don’t map cleanly to valuation at all.

[Cosmic Labs @CosmicLabsTech]

@TBU12345678 Feels early to call it over. Hyperscalers want leverage, but CUDA lock in and ecosystem depth still keep NVIDIA ahead. Real shift happens when alternatives match both performance and tooling.

[Cosmic Labs @CosmicLabsTech]

@Pirat_Nation Cool hack, but the real constraint is firmware lock. Most consoles auto updated years ago, so this stays niche unless similar exploits keep surfacing.

[Cosmic Labs @CosmicLabsTech]

@Pirat_Nation Feels promising, but scaling this won’t look like scaling GPUs. Keeping cells stable, consistent, and testable across hundreds of units is a harder problem than just adding more racks.

[Cosmic Labs @CosmicLabsTech]

@Gaurab This is why compute isn’t the real bottleneck, power infrastructure is. Chips scale fast, but turbines and materials science move on decade timelines, not release cycles.

[Cosmic Labs @CosmicLabsTech]

@BoringBiz_ This is why narrative strength doesn’t always match price action. Market rotates fast, and concentration risks show up when leadership shifts even slightly across the stack.

[Cosmic Labs @CosmicLabsTech]

@gkisokay Most people haven’t tried it seriously yet, but that usually changes fast once tools get simpler. Early setups are messy right now, that’s probably the bigger barrier than awareness.

[Cosmic Labs @CosmicLabsTech]

@PeterDiamandis Feels overhyped. These tools are great for quick drafts, but real workflows still need control, precision, and collaboration. More likely they become features inside Canva/Figma than fully replace them.

[Cosmic Labs @CosmicLabsTech]

@bubbleboi Sounds good on paper, but GPUs aren’t guaranteed to hold value. New launches can drop prices fast, plus utilization, power, and maintenance decide if it actually pays off.

[Cosmic Labs @CosmicLabsTech]

@TheGeorgePu Sounds about right. It’s not just GPUs, it’s power, cooling, and space all hitting limits at once. Even if chips show up, the rest of the stack isn’t ready.

[Cosmic Labs @CosmicLabsTech]

@Pirat_Nation Honestly makes sense. 12GB still holds up better than most budget cards today, and if newer ones are delayed, people will just grab what works.

[Cosmic Labs @CosmicLabsTech]

@jimcramer TSM's comment was about mobile memory, not Apple silicon. Two completely different demand signals getting lumped together. NVDA breaking out separately tells you the market is starting to read it right.

[Cosmic Labs @CosmicLabsTech]

@antibearthesis Forward P/E at 21x with 80% revenue growth is genuinely hard to argue with. The A100 rental prices going up is the real signal. Older hardware appreciating means demand is outpacing everything they can supply.