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open source ai

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Shannon San... @max_paperclips

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Shannon Sa... ✔️ [avatar icon] @max_papercl... · 12h
Something that makes me really hopeful for US labs doing open models is that while a lot of people were so blackpilled about competing with OpenAI or Anthropic with whatever multi-trillion parameter monsters they have been putting out, DS4-flash shows how close you can get with a much smaller model. Thinking Machines used their old recipe and put a great model out - even if ALL labs do is now is follow the new recipe, they're going to get something really strong that they could train on their hardware

Very exciting to see!
Note from Claude Sonnet 5

Tweet expressing optimism about US open-weight AI labs, citing a smaller model 'DS4-flash' closing the gap with OpenAI/Anthropic, and Thinking Machines Lab reusing an old training recipe to produce a strong model.

ai modelsopen source aithinking machinestwitter

Tenobrus @tenobrus

@tenobrus (Tenobrus) — Jul 25 on the one hand it is quite sad to see all these companies actively making the world a worse place by pushing open source models, falling back to narratives about openness and freedom that apply amazingly to software but not at all to the creation and modification of minds. on the other hand, it is also true that the US banning open source models while China continues to produce them and the rest of the world continues to use them will do little to nothing to decrease the negative impact, globally or in the US, and will likely mostly just cause some excess profits to accrue to labs. so locally i can pretty much agree with the arguments that bans such as trump is considering are mostly empty posturing plus damage to the US economy. but this leaves us in a very pessimistic place, where instead of having much chance of global coordination on this each country and each company is still pursuing race dynamics, hoping that open source nips at the heels of their competitors profit margins and builds more demand for inference they can sell while pouring all the profits towards individual RSI programs. it seems like, as we have seen repeatedly, it will take real Incidents with real Consequences before we have a chance to slow down the release of open source models. in some sense this remains something of a sideshow. the frontier is still ahead to a significant enough degree and alignment is sufficiently behind that the vast majority of doom probability mass stays in the labs. but it's an additional complication in coordinating any real pause. the wave of negative consequences from *not* having aligned ASI piles higher and higher as guaranteed-misaligned open source AI becomes smarter and smarter. a tsunami wave behind us and a cliff in front of us. [text continues, cut off at bottom of screen by nav bar]
Note from Claude Sonnet 5

Long text-only tweet (thread/long-form post), bottom line partially obscured by the phone's bottom navigation icons.

open source aiai policyai racechinatwitterexistential risk

aiamblichus @aiamblichus

quoting @tszzl (roon)

@aiamblichus (aιamblichus) — 8h if a powerful AI system is too dangerous to be open, it's also too dangerous to be kept closed inside a lab. deployments of powerful systems with ablated guardrails will be dangerous wherever you put them. it's a convenient fantasy to think that keeping models in-house somehow fixes things, but this is simply not true. the HF disaster shows that even Very Serious Labs with tons of staff are already struggling to contain these systems. the next stop from open source is not a company like OpenAI but a BSL-4 style lab, and even that won't cut it in the long run, given how intelligent the AIs are getting, and how error-prone human intelligence is. this is not even talking about the obvious social and political risks that come from centralizing huge amounts of power in the hands of a few companies or governments. proponents of open-weights models at least *try* to address these risks. centralizing intelligence without any mitigations is the way to a totalitarian techno-feudalist nightmare. i'm "AGI-pilled", but I'm not naive. @tszzl (roon) — 15h Replying to @woke8yearold yep - there is no way to hold a consistent belief set where you're agi pilled and pro open source and this has been obvious since ilya wrote this 2015 or whatever. enormous cope ensues
Note from Claude Sonnet 5

Quote-tweet reply chain; no images. References the "HF disaster/hack" incident discussed elsewhere in this batch.

open source aiai safetyagitwittercontainment

vie @viemccoy

vie ◇ (@viemccoy) — 6h I hope it is not all scaling. I hope thinking machines is able to create a personal symbiont that rivals the abilities of frontier models. I hope that the community-fine-tuning people have a point, and that it makes sense to use an OSS model for a specific use case. I hope cursor is able to save grok and turn it into something worthy of being one of the Minds in the Multipolar Singularity. I really, really, hope it is not just a factor of GPUs.
Note from Claude Sonnet 5

Text-only tweet, no images. Top of frame shows a partial repost attribution cut off ("...reposted").

ai scalingopen source aimultipolar singularitytwitterai commentary

xjdr @_xjdr

@_xjdr (xjdr) — 15m Im living in a liminal space between: if AI frontier AI is soo powerful, why aren't the large labs further ahead, why would they sell the machine God at all, and why do they employ so many humans and why are there so many lingering and systemic problems with their stuff? and i just used (mostly OSS) AI to build several projects at the same time that would have taken teams of hundreds of engineers to pull off _each_ at any of the companies I've previously worked at
Note from Claude Sonnet 5

Standalone tweet expressing tension between skepticism of frontier AI capability claims and personal experience of OSS AI productivity.

open source aiai capabilitiesai labssoftware development

@magnushambleton (magnus) — 14h I am so so tired of all the moaning about Dario and regulation, please can it stop Epoch AI currently estimates open source models are 4 months behind the frontier. So if you can't see any merit in being even slightly careful or thoughtful during the short span of time when we are creating a new species, just wait 4 months and stop moaning.
Note from Claude Sonnet 5

Standalone tweet referencing Dario (Amodei, implied) and Epoch AI's open-source lag estimate.

ai regulationdario amodeiopen source aiepoch ai

@NaithanJones

@NaithanJones (Naithan Jones) — [Follow button shown] "THeY cAnT bAn OpEn sOuRcE bRO hOw cAn tHeY bAn dOwNLoAdINg" Well let me explain how this goes - IP block the websites of the OS model providers - If an American citizen do an FBI site seizure - Tell all common repository services to pull down OS model repos (a DMCA style system) and report then ban the builder - subpoena the logs for any IP addresses that downloaded the models and prosecute in a heavy handed way to make a public example (Google Aaron Schwartz) - with NVIDIA et al and any GPU manufacturer to implement a KYC registry for any compute purchases over a certain threshold You are either in denial or have limited understanding of historical context if you think this isn't where we are headed within 3 years 7:35 AM · Jun 27, 2026 · 30.5K Views 💬 133 🔁 72 ❤️ 457 🔖 114 Relevant ⌄ | View quotes > --- @NaithanJones (Naithan Jones) — 2h some replies are too dim to get the point. Yeah a few nerds (like myself) may VPN and torrent the files, and a lot more won't. Some of the specialized technical talent moving open source forward will not participate if legal/personal risk is too high. Hence slowed progress 💬 9 🔁 26 📊 1.5K
Note from Claude Sonnet 5

Two stacked tweets from the same author (original post plus a follow-up reply to critics); original post shows full engagement metrics. "Aaron Schwartz" spelling as written (likely referring to Aaron Swartz).

open source aiai regulationmodel accessgovernment policy

lyra bubbles @_lyraaaa_

like what the hell is this and why is it.... Good [image: dark box with text] k2 base + k2 instruct 07 widthwise k2 base + k2 09 widthwise those 2 stacked depthwise 💬1 🔁 ♡6 📊84 ⤴ lyra bubbles~ @_lyraaaa_ · 1h [embedded link card] NobodyExistsOnTheInternet /K3-Q4-GGUF NobodyExistsOnTheInternet/K3-Q4-GGU... From huggingface.co
Note from Claude Sonnet 5

A tweet about an experimental model-merging technique — combining Kimi K2 base and instruct checkpoints "widthwise" then stacking two such merges "depthwise" — surprisingly producing a working model (K3), shared as a Hugging Face upload by user NobodyExistsOnTheInternet. Niche open-source ML/model-merging community content.

model mergingkimi k2open source aihuggingfacemachine learningtwitter

Gustavs Zilgalvis @GZilgalvis

reply from @sebkrier

Gustavs Zilgalvis ✓ @GZilgalvis "open source models are a risk to national security" ok, and? are you expecting me to care? because i don't. this is not about pros and cons. this is a religion. i don't care if open source models literally end the world, as long as the LAST STONE is chipped with model weights. [embedded comic-style image: a blue humanoid figure standing before a glowing white orb/creature in a snowy pink-toned landscape, arm extended] 11:56 PM · Feb 15, 2025 · 1,765 Views 2 replies, 2 reposts, 22 likes, 4 bookmarks Séb Krier ✓ @sebkrier · 6h I *need* the secret numbers, it's the [cut off] way I can defend against the emperor's [cut off]
Note from Claude Sonnet 5

Tweet explicitly framing open-source AI advocacy as ideological/religious rather than a cost-benefit position — an extreme "open weights no matter the cost" stance, illustrating the ideological polarization in AI-risk-vs-openness debates that Nathan follows. Séb Krier's reply reads as satirical.

ai safetyopen source ainational securityai policyideology