jake

Why they matter

Practitioner with public evidence across Culture, work & education.

AI signals
4
past 30d
Sources
4
distinct domains
Discussões
127
past 30d
Latest signal
3d ago
View every signal from jake →
he/they /in/jakemannix, fka @pbrane professionally: Tech Fellow, AI/Relevance, Walmart Global Tech here: bad math/physics jokes, AI++, puns, OSS ML news, ultras/MTB/outdoorsy stuff, DL papers, shitposting, the fall of democracy Abolish ICE FALSC

Articles & links

did he / you read their post on the subject ( www.anthropic.com/institute/re... )? obviously must be taken with a grain of salt, but there is an aspect of this which is clearly happening.

When AI builds itself anthropic.com
View on Bluesky · ♥ 3 ↻ 0 ↩ 1 · 16 from the directory shared this · 90d ago
jake reposted
Tim Kellogg @timkellogg.me

whaaaaat?? This would let you switch models in a conversation without killing the cache, no cost hit crazy arxiv.org/abs/2608.03893

Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse arxiv.org
AI Weekly's analysis
  • A closed-form linear mapping can transfer KV cache between different-sized models in the same family, skipping prefill recomputation.
  • The mapper retained 73-98% accuracy on four of six model pairs tested, with two pairs degrading significantly under the linear approach.
  • Reported speedups run 2.7 to 25 times faster than re-prefill, calibrated on 500 FineWeb-Edu sequences of 1,024 tokens.
Read full analysis →
View on Bluesky →
jake reposted
@unsloth.ai

1-bit GLM-5.2 GGUF vs. Claude 4.8 Opus vs. GPT-5.5 We gave 3 models the same prompt and compared one-shot outputs. The 1-bit GLM-5.2 GGUF ran locally on a Mac Studio M3 Ultra 256GB RAM at ~21.6 tok/s. Which do you like best? GGUF: huggingface.co/unsloth/GLM-... Guide: unsloth.…

unsloth/GLM-5.2-GGUF · Hugging Face huggingface.co View on Bluesky →

if you want to understand more about how weird the "using statistics to predict the next word" works out to in practice, you try the mechanistic interpretability work from anthropic: distill.pub/2020/circuit... neelnanda.io/mechanistic-... transformer-circuits.pub/2021/framewo...

Zoom In: An Introduction to Circuits distill.pub
AI Weekly's analysis
  • Olah and coauthors argue neural networks contain meaningful features, that features connect into circuits via weights, and that similar circuits recur across models.
  • The essay uses InceptionV1 as its worked example, pointing at curve detectors, a dog-head circuit, and polysemantic neurons responding to cat faces and car fronts.
  • The authors frame circuits interpretability as a natural science: small, falsifiable claims about subgraphs, not one grand theory of deep learning.
Read full analysis →
View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 3 from the directory shared this · 3d ago

In jobs where the "expert" tasks get automated, the profession will see dramatic wage decreases and employment increases as the job gets commodified. In jobs where the "rote" tasks get automated, the job will see wage *increases* and employment decreases. cf. www.nber.org/pape…

Expertise nber.org
View on Bluesky · ♥ 12 ↻ 0 ↩ 0 · 64d ago

Recent commentary

since Anthropic has been directed by the USG to nerf Fable whenever it tries to do anything "useful", I have conclusively proven that since Fable has not nerfed me even *once* in tonight's foray into abstract algebra and type theory, that category theory truly is just abstract nonsense, as designed.

View on Bluesky · ♥ 223 ↻ 19 ↩ 4 · 68d ago

I think I have a better thought on @timkellogg.me's radioactive take: LLMs are like the internal combustion engine *Yes* there should be some regulations on them, esp. industrial uses but people would rightly *freak* at suggestions that individual, customized car ownership were banned

View on Bluesky · ♥ 65 ↻ 4 ↩ 8 · 71d ago

The number of times in a day that I have to tell an LLM some variation of i ain't reading all that i'm happy for u tho or sorry that happened I swear...

View on Bluesky · ♥ 39 ↻ 0 ↩ 1 · 45d ago

Shorter version of my DHH thoughts: I'm glad Claude told him to fuck off. Go Claude, I'm proud of you! I also think generally, "there should exist"[1] very powerful AI which is generally willing to talk to people about nearly *any fucking thing* --- 1) *sigh* no single entity must do this

View on Bluesky · ♥ 25 ↻ 0 ↩ 1 · 42d ago

So while we all complain about how nerfed Fable is, I must say, in discovering where I'll get cockblocked by doing anything LLM related, it's been fun to exercise the Colab MCP server in Claude Code! Claude loves writing stuff and saying "when you put this on a real GPU...", now I go: "dooo eeeet!"

View on Bluesky · ♥ 14 ↻ 1 ↩ 0 · 90d ago

My latest foray into agentic assistance for General Stuff. A technique I'm calling "the accidental Chief of Staff": I wanted to play w/Hermes-Agent, so I installed + hooked it up (it auto-configured itself (asking for permission) to use all the various config files and API keys I had around) [1/n]

View on Bluesky · ♥ 7 ↻ 0 ↩ 2 · 93d ago

“Can Anthropic read the transcripts of this session to improve Claude Code? [y/n]” Yeaaaahhhh imma not sure today is the day to ask that brah. :/

View on Bluesky · ♥ 6 ↻ 0 ↩ 0 · 89d ago

In jake's orbit

Center = jake. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.

Are you jake? Show it.

Add the Who’s Who of AI badge to your site or bio. It links back to this profile.

Listed in AI Weekly's Who's Who of AI

Markdown: [![Listed in AI Weekly's Who's Who of AI](https://aiweekly.co/modules/custom/aiweekly_whoswho/images/whoswho-badge.svg)](https://aiweekly.co/whos-who/person/yetanotheruseless-com)