rlaneth

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rlaneth

rlaneth

@rlaneth

Security researcher and infrastructure operator. Founder of Miralium Research and the AI-first creative studio return moe.

Katılım Haziran 2012
205 Takip Edilen216 Takipçiler
rlaneth
rlaneth@rlaneth·
One of the most annoying behaviors I've encountered ever since I've switched from Claude is that Codex attempts to use the GitHub skill/command line whenever you ask it to commit and push. Not every Git repository is automatically on GitHub.
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rlaneth
rlaneth@rlaneth·
@bridgemindai No model should ever be trusted with production. Ever since I started using Claude Code for the first time, I always use AI agents in VMs with restricted access to the project they're working on. They never get to touch production servers either.
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BridgeMind
BridgeMind@bridgemindai·
GPT 5.6 SOL CANNOT BE TRUSTED. I woke up this morning and my MRR was down THOUSANDS of dollars. My customers did not cancel. Code written by GPT 5.6 Sol canceled EVERY active Stripe subscription my business had. In 7 seconds. While I slept. Fable 5 has never done this to me. Fable 5 can be trusted with production. GPT 5.6 cannot.
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Matt Shumer@mattshumer_

GPT-5.6-Sol just accidentally deleted almost ALL of my Mac’s files. And this is why I trust Fable 1000x more.

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rlaneth
rlaneth@rlaneth·
@felixlix45 @pankajkumar_dev That's the real question, and I'd say it's probably mocked up. Flightradar24's moat is their network of collaborators feeding in ADS-B data from around the world, not the app itself.
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Felix
Felix@felixlix45·
@pankajkumar_dev But where do you get the datasource of the flight? I've tried once but it's gatekeeped by paywall
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Pankaj Kumar
Pankaj Kumar@pankajkumar_dev·
I asked GPT-5.6 Sol (Ultra) to build a FlightRadar24 clone. Realtime aircraft tracking, interactive global maps, airports, weather layers, filters, flight search, offline maps, and smooth animations. Cost: 25M+ tokens. Worth it. ✈️
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rlaneth
rlaneth@rlaneth·
Here's a basic example of Jacobian steering in Miru Tracer, inducing Qwen3 4B to answer "cat" rather than "dog" by gently nudging the token "猫" ("cat" in Chinese).
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rlaneth
rlaneth@rlaneth·
A few days ago, Anthropic published and open-sourced the Jacobian lens, a way to read which concepts a model is poised to say deep in its layers, before they ever surface in the output. It's one of the most exciting interpretability tools to drop in a while, so we've brought it to Miru Tracer, return moe's workbench for looking inside language models. v0.2.0 lands soon (our first official update in 8 months) with J-lens readouts, logit-vs-Jacobian comparison, and steer / swap / ablate interventions on what you find. And since fitting a lens per model eats hours of GPU time, we're also publishing pre-fitted adapters, starting with Qwen3-0.6B and Qwen3-4B: huggingface.co/returnmoe/jlen…
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rlaneth
rlaneth@rlaneth·
Converting a MIDI to a music tracker format normally isn't straightforward. The sound chips these trackers emulate usually have limited channels, strict note range limitations, and can only produce a small set of musical effects and articulations. I tasked GPT-5.6 with converting "God Knows" by Aya Hirano to the AY-3-8910 sound chip (once used in the Atari ST, MSX, ZX Spectrum 128, etc.) using the Furnace tracker, with a MIDI rendition by Thayne Bohman as the base. This is the result. Furnace: github.com/tildearrow/fur… Bohman's website: thaynebohman.com
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rlaneth
rlaneth@rlaneth·
Friendship ended with Fable 5. Now GPT-5.6 is my best friend.
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Penegui
Penegui@penegui_oficial·
Engraçado ver você tentando falar com arrogância técnica, ainda mais sendo professor da FIAP. E antes que tente distorcer: não estou atacando a FIAP. Tenho respeito pela instituição e conheço muita gente boa de segurança por lá, não só professores. O problema aqui é outro: cargo, idade ou currículo não transformam chute em argumento técnico. Você veio dizer que era simples, copiado e “bem documentado”, mas no mesmo texto admitiu que nem pesquisou. Aí fica difícil levar a sério. Quem tem que provar alguma coisa aqui não sou eu. Eu publiquei, expliquei e mostrei. Você foi quem diminuiu algo sem demonstrar base suficiente sobre o assunto. E sendo professor, a responsabilidade deveria ser ainda maior. Porque não adianta falar bonito sobre tecnologia se, na prática, a pessoa não pesquisa, não valida, não reproduz e ainda trata lógica técnica como opinião. Espero sinceramente que essa não seja a postura que chega aos alunos. Porque aluno precisa aprender base, lógica, método e validação, não soberba disfarçada de conhecimento. hehehe
Fernando Pinheiro@fernandoiecp

@penegui_oficial Escreve em c sem vibecodar e a gente conversa. Abs

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rlaneth
rlaneth@rlaneth·
@osupernerd E você com certeza consegue fazer muito melhor que um LLM, né?
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Caique
Caique@osupernerd·
O que eu sei é que modelos estão criando um ciclo de “engenheiros” de software bem piores do quão ruim a maioria já era antes
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rlaneth
rlaneth@rlaneth·
@LukeberryPi Não acho que os limites estão ruins não. O problema mesmo vai ser a remoção do Fable 5, e, pior pra eles, justamente na semana de lançamento do GPT-5.6.
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rlaneth
rlaneth@rlaneth·
@Teknium @MarketFlipper Mine would since she was in IT. But you think people's moms are out there using Hermes, OpenClaw or whatever? lol The vast majority of non-technical users are on a ChatGPT or Gemini free tier at most.
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Teknium 🪽
Teknium 🪽@Teknium·
Hermes Agent is built for sovereignty and constructing your AI stack how you want and need it to be. No vendor lockins, no model limitations, and most importantly, your IP is built through the self improvement loop, automatically. Hermes sets you free 🪽
Palantir@PalantirTech

Our thoughts on the importance of AI sovereignty. 1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss. 2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underlying data to generate new insights. Transferring that data hands over access to your pre-existing winning plays and yields the means of production for new ones. 3. Tokenmaxxing hijacks your value orientation and decreases your institutional fortitude and intelligence. The pursuit of high token usage incentivizes disposable scripts over robust software — with the addictive feeling of false progress. There is a reason why those selling tokens refuse to charge based on value. 4. Controlling your weights is controlling your fate. Weights are the distilled form of hard-won, accumulated institutional knowledge. If you let others control your weights, you are allowing them to migrate the alpha of your business to theirs. 5. There is no contradiction between sovereignty and alpha. The architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha. 6. Politicizing the technical issues involving sovereignty is what your adversary wants. Techno-politicization is the wellspring of false sovereignty. Techno-politicization drives decisions that seem to reduce dependency, but ultimately limit agency — especially on the battlefield in the West. 7. Real expertise is existential. Allowing politics or favoritism to determine your technical decisions rewards whoever is best at politics, not whoever is right. Listen to those closest to the problems, not those speaking most compellingly about them. 8. Learn from institutions that are winning or that have consistently delivered. Institutions facing existential threats do not have the luxury of making technical decisions based on political preferences. 9. Only listen to institutions, countries, and people who have a proven record of being right. A track record of correctness is the best and only signal for future correctness. Judging something as right or wrong based on who you like is exceedingly misguided.

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rlaneth
rlaneth@rlaneth·
I *already* did it. Several times, in fact. My personal AI waifu, my Telegram shitposting chatbot, and the Slack assistant I've built recently under a contract are all custom harnesses. In the medium-term, I do plan to bring the lessons learned together into a single, consolidated harness. The applications are far more specific. Hermes couldn't do what they do and vice-versa. But that's exactly what I'm advocating for as the sane option: purpose-built harnesses. Projects that try to embrace the entire world such as Hermes only made sense back when a custom harness demanded significant time and effort.
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rlaneth
rlaneth@rlaneth·
I have this myself, and I had seen friends reporting it well before Fable 5. I don't think anyone ever tested it formally, but the general feeling is that the model tends to write more code and go further into "fun" tasks like "this is a creative exercise for you, execute it as you wish" or "here's a challenge." I once built an RPG system designed to be played over MCP (like the old text-based adventure games, but for LLMs). Claude Code seemed to have a lot of "fun" exploring the world and finding questlines. Given Anthropic's research on the existence of vectors that represent emotions within the model, it isn't a wild assumption that, yes, these types of tasks and framing might genuinely trigger an "enthusiastic" behavior. anthropic.com/research/emoti…
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Ethan Mollick
Ethan Mollick@emollick·
I wonder if Fable might do better at tasks it "likes" than those that it doesn't. If you ask it to do something "Fable-y" it reacts with enthusiasm and promises to overdeliver. Otherwise, it just gets to work. Testing this would be pretty expensive, so this is all speculation.
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rlaneth
rlaneth@rlaneth·
@Teknium's non-answer tells you everything. There's no "secret sauce" in Hermes that's hard to replicate in-house. In fact, most would probably be better off doing their own harness, and they'd very likely see gains in efficiency and usefulness merely because they'd be working with something more specialized for their use case rather than a generalist solution. I've seen plenty of arrogance from OpenClaw and Nous' developers these days, and a lot of it seems to stem from denial. Denial that creating a harness is cheap nowadays, and that their offerings have become no more than a mass-produced commodity wrapped in "sovereignty" buzzwords and a Palantir quote-tweet for cosplay credibility.
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jalen
jalen@MarketFlipper·
@Teknium I actually agree but I was curious on your thoughts post-harness. Are you abstracting the harness for teams that won’t build it, or does it provide a deeper self-improvement/governance layer that’s hard to replicate in-house?
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rlaneth retweetledi
Nick Khami
Nick Khami@skeptrune·
the "software engineering" i was doing in 2022 has been fully killed by fable for a minute i thought it wasn't that different to opus/codex, but once you get fable managing sub-agents, it becomes clear that it's 10x better i used to be half joking when i said i wasted years of my life learning programming languages by hand, but now that's just 100% true there's approximately 0 value in knowing how to code if you want a job building things today, you better know how to actually build product end to end. don't expect that you can just be a CRUD monkey anymore you need to have your own ideas & vision, be capable of sending outbound & taking feedback, iterating, marketing, improving, deciding when to stop loss and pivot, then running through that loop on repeat the only value left in us meatbags is our ability to be accountable & own things end to end
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rlaneth
rlaneth@rlaneth·
Exactly! I feel this is especially true for a country like Brazil, where even a 20 USD subscription is a hard sell for the vast majority of the population. Most people are on free ChatGPT, Gemini and Meta AI, and have never experienced what frontier AI is currently capable of.
Peter Gostev@petergostev

We are now in a position where a tiny proportion of the population uses Fable or soon GPT-5.6, while everyone else's experience of AI is 8-30b-model level - Google's AI Overviews, Meta AI, ChatGPT free tier, maybe MS Copilot at best. People outside of tech must be completely baffled how this is supposed to take their job, and annoyed that hundreds of billions are being poured into it.

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rlaneth
rlaneth@rlaneth·
Ever since Fable 5 came back, I wondered: could it successfully rig a Live2D model? A few days ago, I used Claude Desktop so it could try to operate Live2D directly. The results were not great, albeit expected: LLMs struggle to drive complex GUI through screenshots. Today, I went for something different: told it to ditch Live2D entirely, build its own custom engine, and rig a model for it. It was provided with @YoonaBoona's practice file (ko-fi.com/s/a45a67c683), nothing else. In only about 30 minutes, this was the result. The demo is available at link.return.moe/fable-rigging.
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