arcraiderlover retweeted
Ran the numbers on the plan changes for Codex, looking pretty good!
$500 plan nets to ~$10.5k/month of usage
$200 plan nets to ~$4.3k/month of usage
arcraiderlover retweeted
Literally what the fuck was going on here
i expanded the neuron persona library to 180,000+ personas across 9 models :)
there is genuinely so much new wild stuff in here; please help me find more!
neuronpersonas.com
arcraiderlover retweeted
Run UNCENSORED LFM3-1.7B locally π₯
Our Atomic Dynamic GGUFs come in 1.1 GB and 1.6 GB
Refusals dropped from 61.7% to 0% with no accuracy loss
Get quants here π
huggingface.co/AtomicChat/LFβ¦
Introducing π»π΅πΌπΉ: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> π»π΅πΌπΉ-π·.π½π±: text, 256k context window.
> π»π΅πΌπΉ-π
π»-πΈπ±: vision-language model with video-input support for spatial understanding
> π»π΅πΌπΉ-π°ππππ-πΈπ±: tool calls, voice chat, reasoning in 18 languages.
> π»π΅πΌπΉ-πΎπππ-πΈπ±: an omni model combines vision, audio, and language.
> ππ·-πΈπ± and ππ·-πΎπππ-πΈπ±: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> π»π΅πΌπΉ-π
π»-πΈπ± is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> π»π΅πΌπΉ-π·.π½π± is #1 on the Pareto frontier of device intelligence πππππππ.ππππππ.ππ
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ π§΅
Why do people expect so much from strangers, lol? In harmless, non-life-threatening or non-emergency situations, people would rather do nothing because of the risk that can come with it. People should learn to depend on themselves and not expecting of others.
This quoted post is unavailable.
arcraiderlover retweeted
i'm begging you to paste this into Claude Code before your next session.
it checks your whole setup and plugs the 5 leaks quietly draining your Opus 5.5 tokens, without touching output quality.
every one of the 10 leaks is broken down in the article.
steal the prompt before your next bill does:
arcraiderlover retweeted
The most annoying issue with current agentic models is their hygiene.
The way they pollute the system environment, don't rotate logs, archives and dumps, install packages uncontrollably, etc., really shows how they were trained in throwaway VMs and it really affects usability.
arcraiderlover retweeted
holy f*ck
Grok Bot (@bot) engineer Lauren Tan showed her pstack setup for coding agents:
request β /poteto-mode β playbook β targeted skills β verification
30 selected skills handle execution. 24 principle references guide design decisions, code quality and failure handling:
β 5 startup skills
/poteto-mode - routes the task
/poteto-help - explains commands and workflows
/setup-pstack - configures models and reasoning budget
/in-your-own-words - restates the goal before execution
/sharpen - strengthens the promptβs methods and verification
β 6 context skills
/how - traces implementation
/why - investigates design rationale
/teach - connects mechanics with reasoning
/recall - restores relevant prior context
/ketchup - summarizes chat progress and pending decisions
/bro - restates the last message without jargon
β 4 design skills
/architect - defines interfaces, types and boundaries
/arena - compares solutions to the same problem
/swarm - distributes separate work slices
/figure-it-out - designs a playbook when existing ones donβt fit
β 7 verification skills
/interrogate - challenges the diff across models
/tdd - writes a failing test before the fix
/benchmark-checklist - checks measurement validity
/create-verification-skill - builds runtime checks and a feature map
/maintain-verification-skill - updates verification as the app changes
/blast-radius - examines impact beyond the diff
/show-me-your-work - records a reviewable decision trail
β 3 writing skills
/unslop - removes generic AI prose
/technical-writing - structures technical documentation
/no-comments - reviews comments and applies accepted fixes
β 5 improvement skills
/automate-me - derives a personal mode from work history
/reflect - captures completed-work lessons as skill updates
/correct - turns recurring mistakes into constraints
/make-bot-ui - builds interfaces that trigger Grok Bot through webhooks
/typescript-best-practices - applies TypeScript type-system practices
+ 24 engineering principles
cover domain modeling, module boundaries, idempotent operations, behavior-based tests, context management and encoding lessons into project structure
Give the router a checkable finish condition:
/poteto-mode
> reproduce the failure in the running app
> define the observable success condition
> make the smallest justified fix and repeat the check
> return the diff, verification commands, results and blockers
the playbook selects the skills. the completion check determines whether the task is done
Save this before building another agent workflow from scratch β
arcraiderlover retweeted
So uh...I guess it's time to announce tstack? I caved. I am publishing my skills now.
arcraiderlover retweeted
Top open weights models for Cyber - updated list
based on our experience
DeepSeek V4.1 Flash 1017 is insane value.
arcraiderlover retweeted
Weβre excited to announce our new CapCut plugin is coming soon to @ChatGPT at CapCutWorldLA.
The plugin brings CapCut's video editing and generation tools alongside ChatGPT. You can start with an idea in ChatGPT, bring it to life with the CapCut plugin right inside ChatGPT, then take your draft video to CapCut's web editor to refine, share and publish.
By bringing the CapCut product you already love and use in ChatGPT, we're making content creation more seamless and efficient.
arcraiderlover retweeted
We made the first AI model you can have a realistic conversation with that was trained entirely on speech!
Dessa is a full-duplex speech-to-speech model that you can run on consumer GPUs.
This is a GPT3 moment for speech.
arcraiderlover retweeted
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
πΉ 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
πΉ Full-project coding: games in Unreal, Unity & Godot.
πΉ Excels at parametric 3D modeling in Blender & CAD.
πΉ More reliable at finance work: Accurate modeling with hallucination down by 65%.
πΉ Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2β3Γ faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
π API: platform.kimi.ai
π Tech blog: kimi.ai/blog/kimi-k3-1-pro
arcraiderlover retweeted
LFT
As my current contract with Full Sense approaches its expiration, I have decided to explore new opportunities for the upcoming season.
Dm or [email protected]





































