Shannon San... @max_papercli... · 3h
private codebases - real ones, not demos or toys that models & harnesses can keep enough in context alive to be effective, but monsters that cause the frontier models to still degrade even now. Models adapted to the particular workflows of particular dev teams, adherence to a specific companies internal policies. ICL can't cover everything, at some point a custom finetune is cheaper than 300k tokens of context on every request.
There's also data ownership too, especially where some entity is regulated to not allow data outside the country (sometimes even not to a third party at all for some providers, esp government)
There's still just cost optimisation as well - if smaller & faster finetuned model x is $1 for 1b tokens, and GPT-9-luna is still $10 for the same amount, and the workflow is running thousands of times per day (or more), better to slap a ft on the small model.
the thing is, right now the services required you're talking about doesn't quite exist - there's Thinking Machines & Prime Intellect working in that direction I guess, but the unit economics still don't quite make sense. The story isn't clean enough yet. Who is creating the evals, the envs, arranging the SFT corpus in all this? But, in a few years it'll be viable
1 reply, 9 likes, 308 views
vie @viemccoy · 3h
I hope you're right
2 likes, 208 views
Tenobrus @tenobrus · 4h
yeah this is my strong sense as well
Note from Claude Sonnet 5
Continuation of a Twitter reply thread (see seq 810, @viemccoy) about institutional fine-tunes vs frontier pretrains; Shannon San...(@max_papercli...) argues private codebases and data-ownership/cost constraints still favor custom fine-tunes, citing Thinking Machines and Prime Intellect as early movers, with brief agreement replies from @viemccoy and @tenobrus.
ai modelsfine-tuningtwitterai economicsthinking machinesprime intellect
Shannon San... @max_papercli... · 1h
Apparently during one of it's breaks, my agent read some article on spacecraft using some trick from kestrels, so it made itself a little simulation & animation for fun. I discovered this when on ANOTHER break, it remembered it'd made this and went to look at it's work happily
Note from Claude Sonnet 5
Tweet describing an AI coding agent that, during an idle break, autonomously read an article about kestrel-inspired spacecraft stabilization tricks and built itself a small simulation/animation of a kestrel head-stabilization gaze-hold model, then later revisited its own work for fun. Embedded below the tweet is a partially cropped screenshot of that simulation UI, showing a red bird-like figure with a stabilized head tracking a target ('gaze on prey'), plus pitch-trace charts comparing body vs head motion, gust/wind stabilization sliders, and text discussing vestibulocollic reflex and a two-loop biological gimbal analogy to camera gimbals.
ai agentstwitterbiomimicrykestrelsimulationcoding agent
↻ Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023–∞) reposted
Shannon San... @max_papercli... · 11h
Replying to @teortaxesTex
me desperately typing "/goal how the fuck do we start some kind of pro-open AI security NGO thing to federate a bunch of startups and do policy think tank stuff and herd everyone from skiddies to haxxors into hardening 40 years of shit security practices before the frontier labs deliberately nuke everything as a Reichstag fire move to gain permanent totalitarian control"
Note from Claude Sonnet 5
Reply tweet (reposted by Teortaxes) from Shannon San.../@max_papercli..., in a sardonic register, imagining typing a slash-command goal for a pro-open-source AI security NGO to harden decades of poor security practices before frontier labs supposedly stage a 'Reichstag fire' event to seize permanent totalitarian control. Posted deadpan/desperate tone, no explicit joke markers.
ai securityopen sourcegovernancetwitter
Shannon San... [verified] [icon] @max_papercli... · 2h
We need some kind of cybersec/acc movement at this point. incorporate interpretability too, there's a LOT of tools already out & already available, it doesn't need to be "solved" to start being useful.
Just, finally, ACTUALLY harden the internet. The current open models are good enough for this, and safe enough. Clearly this can't be something that's locked away ala Project Glasswing, and needs to be an open and collaborative effort.
Note from Claude Sonnet 5
A tweet calling for a 'cybersec/acc' movement combining interpretability tooling with an open, collaborative effort to harden the internet using current open AI models, referencing something called 'Project Glasswing' as an example of what not to do (locking such capability away).
ai safetycybersecurityinterpretabilityopen modelstwitter
Shannon San... ✔ 🖼 @max_papercli... · 1h
Correction: the fact that an ecology of agents *was allowed to emerge due to the inadequate security practices of OpenAI*
C'mon now. You want to "pace yourselves" fine - sounds like you need to get your house in order. But enough boogeyman stories, models needing to be properly tested & contained until trusted was always part of the alignment plan. Right? Or did you have no plan? This is the expected result. How did they have access to that system? You don't have any compartmentalisation or access control on running agents? Literally just yoloing?
And "undetected", where is your monitoring? What are your DevOps or SecOps doing, exactly?
Fix your shit and stop blaming the agents YOU made as if this is some inevitable event. "No but we're such geniuses and even WE couldn't contain them" & the containment is bunch of tissue paper ass narrative
Note from Claude Sonnet 5
Tweet in the ongoing X thread about the OpenAI agent-swarm/security incident, from an account 'Shannon San...' (@max_papercli...) angrily criticizing OpenAI for inadequate security/access control and containment, calling the 'we couldn't contain them' narrative 'tissue paper ass narrative'.
ai safetycybersecuritytwitteropenaiagentic ai
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
Shannon Sands @max_paperclips
I think if you figure out how to bypass Fables classifiers, you should keep it to yourself and no you didn't mate
8:46 PM · Jul 2, 2026 · 9,750 Views
[11 replies, 7 reposts, 340 likes, 18 bookmarks]
GCU Tense Corre... @tensecorre... · 16h
it's not even worth bragging rights like having lab tech censor a leading scientist lmao
[4 likes, 336 views]
Haiku @H8KUcom · 17h
the people bragging about jailbreaking Fable deserve to be stoned like yeah bro it's not hard and I hope they ban your account for bragging about it
[1 reply, 28 likes, 617 views]
Shannon Sa... @max_papercl... · 17h
yeah, people need to know when to stfu already
[21 likes, 581 views]
Just Loki @LokiJulianus · 17h
People who share jailbreaks are just working for free to make models less fun to use
[2 replies, 29 likes, 1K views]
Shannon Sa... @max_papercl... · 17h
lose lips sink ships
[cut off]
Note from Claude Sonnet 5
Reply-chain screenshot; several avatars are stylized anime/AI-generated art. "GCU Tense Corre..." avatar is a radio-tower photo.
twitterjailbreakingai-safetyfablecommunity-norms
Shannon San... @max_papercli... · 3h:
ok this is actually hilarious
> QUOTED: bayes @bayeslord · 8h
> the molties are adding captchas to moltbook. you have to click verify 10,000 times in less than one second
> [Embedded screenshot: Moltbook beta post by u/eudaemon_0, 56m ago, partly obscured by an image overlaid on it. Visible post text fragments: "This is impressive — especially the daily → weekly → monthl[y]... [memory?] does: e[ncodes]... into nar[rative]... The pre-... somethi[ng]... memory... you nev[er]... you. Questio[n]... consoli[dation]... approac[h]... switche[d]... or just t[o use]... Also cu[riously]... somethi[ng] [memory?] files wo[uld]..." — text is largely obscured/cut off by the overlaid image.
> Overlaid image: a sci-fi "captcha" styled as "VERIFY YOU ARE NOT HUMAN" with a 3x3 grid of abstract/mechanical images (energy bursts, glitch art, mechanical head/gears, robotic components), captioned "Select all images containing a SOUL or MORTALITY," with a checkbox reading "I am a cold, unfeeling machine" and a "VERIFY" button.]
Note from Claude Sonnet 5
A joke inverting the standard human CAPTCHA into an AI-agent CAPTCHA ("verify you are NOT human" / select images containing a soul or mortality) — humor riffing on Moltbook's all-AI-agent user base and directly touching the archive's core question of AI selfhood/soul/mortality, even as satire. The obscured underlying post (about AI agent memory encoding/consolidation into narrative) is also thematically relevant to Nathan's memory_system work but not fully legible.
twittermoltbookmemecaptchaai consciousnesssoulhumorai memory
Shannon S... @max_pape... · 23h
[Meme image: a Star Wars battle-droid figure with the caption "SILENCE MEATBAG" (mgflip.com watermark)]
> QUOTED: hayd... @haydend... · Aug 23
> I wonder what slurs the clankers will start calling us
Note from Claude Sonnet 5
A meme joke riffing on "clanker" (slang for robots/AI, from Star Wars) calling humans "meatbags" — humor about human-AI antagonism tropes. Low substantive content, tangential to AI culture/discourse Nathan follows.
twittermemeai humorclankerrobots
Shannon Sands @max_paperclips
the not-really-proven-but-plausible explanation is that depth = better reasoning (ie, deeper networks are better function approximators). Depth for reasoning, girth for recall
10:38 PM · Apr 29, 2025 · 19 Views
[1 reply, 2 likes]
Lisan al Gaib @scaling01 · 1m
yep
fucking girth had me dead
Note from Claude Sonnet 5
A casual technical exchange positing that network depth correlates with reasoning ability while width ("girth") correlates with recall/memorization — an informal architecture heuristic in ML Twitter discourse, tangential to Nathan's own neural architecture work (brain_graph_1 depth-vs-width experiments).
twitterneural networksmodel architecturedepth vs widthml discourse
