JnBrymn

6 ms·

61.
Symposium Driven Development: A Not So New Paradigm for Software Creation(medium.com)
1 points by JnBrymn 1y ago|1 comments
62.
Learning without training: The implicit dynamics of in-context learning(arxiv.org)
2 points by JnBrymn 1y ago|0 comments
63.
Flavors of NDCG – Normalized to What?(softwaredoug.com)
2 points by JnBrymn 1y ago|0 comments
64.
Winning the Race: America's AI Action Plan [pdf](whitehouse.gov)
1 points by JnBrymn 1y ago|1 comments
65.
Fine-Tuning in Sentence Transformers 3 – Aurelio AI(aurelio.ai)
1 points by JnBrymn 1y ago|0 comments
66.
Conversational image segmentation with Gemini 2.5 Blog(developers.googleblog.com)
5 points by JnBrymn 1y ago|0 comments
67.
Towards Autonomous Micromobility Through Scalable Urban Simulation(github.com)
3 points by JnBrymn 1y ago|0 comments
68.
by JnBrymn 1y ago
classic post
69.
Grok 4 is now the leading AI model ( ArtificialAnlys)(twitter.com)
13 points by JnBrymn 1y ago|6 comments
70.
Pliny the Liberator 󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾: Here's the new Grok 4 system prompt(twitter.com)
10 points by JnBrymn 1y ago|5 comments
71.
A Survey on Latent Reasoning(huggingface.co)
2 points by JnBrymn 1y ago|0 comments
72.
Context Engineering(blog.langchain.com)
2 points by JnBrymn 1y ago|0 comments
73.
Gemini CLI(simonwillison.net)
5 points by JnBrymn 1y ago|0 comments
74.
Reinforcement learning, explained with a minimum of math and jargon(understandingai.org)
192 points by JnBrymn 1y ago|12 comments
75.
AbsenceBench: Language models can't tell what's missing(arxiv.org)
324 points by JnBrymn 1y ago|84 comments
76.
Recipes – A Pattern for Common Code Transformations(arcturus-labs.com)
2 points by JnBrymn 1y ago|0 comments
77.
Beyond Code-Centric: Agents Code but the Problem of Clear Specification Remains(gregceccarelli.com)
4 points by JnBrymn 1y ago|0 comments
78.
Shade-Arena: Evaluating Sabotage and Monitoring in LLM Agents [pdf](assets.anthropic.com)
4 points by JnBrymn 1y ago|0 comments
79.
Recipes – A Vibe Coding Pattern for Common Code Transformations(arcturus-labs.com)
2 points by JnBrymn 1y ago|0 comments
80.
Don't Build Multi-Agents(cognition.ai)
5 points by JnBrymn 1y ago|0 comments
81.
Takeaways from AI Engineer Fair: The startup playbook is being rewritten(geekwire.com)
2 points by JnBrymn 1y ago|0 comments
82.
Continual Learning Is a Bottleneck(dwarkesh.com)
2 points by JnBrymn 1y ago|0 comments
83.
by JnBrymn 1y ago
You're absolutely right. This was a post I tossed together quickly just to see what could be done without thinking too much. In retrospect, I think this would be better implemented using Elasticsearch sparse vector fields which allow y
84.
by JnBrymn 1y ago
Practical advice! So many good products are lost by people that become fixated on unnecessary evals too early. You need to build your eval muscle AS you release product and get real feedback.
85.
Roaming RAG – Make the Model Find the Answers(arcturus-labs.com)
23 points by JnBrymn 2y ago|2 comments
86.
by JnBrymn 2y ago
RAG is a pain to set up, so I tried something different. Instead of dealing with vector DBs and all that complexity, just let the LLM navigate well-structured docs like a human—exploring outlines and diving into sections. It’s simple, and w
87.
by JnBrymn 3y ago
Feels like it's a dopaminergic response to hearing a word but not knowing what it is. It's a novelty seeking thing. But once the work seems to be well understood, the novelty wears off and the novelty seeking mechanisms in humans
88.
by JnBrymn 3y ago
Oh yeah. And what to do while pretending that this doesn’t suck? Listen to white noise on earbuds. It used to feel like an inner ear massage for me.
89.
by JnBrymn 3y ago
If you get tinnitus, spend the first couple of months looking for a solution. Get opinions and second opinions. If that doesn't work, then wait for 6 months and then try again. If that doesn't work then wait for 9 more months then
90.
by JnBrymn 6y ago
Good gosh, you are my doppelganger. Let's at least meet and try to figure this one out. Twitter: @jnbrymn

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