willmarquis

4 ms·

1.
by willmarquis 8mo ago
The thread is missing the forest for the trees. The interesting bet here isn't git checkpoints—it's that someone is finally building the observability layer for agent-generated code. Most agent frameworks (LangChain, Swarm, etc.)
2.
Free LLM API Resources – A List of Free LLM Inference APIs(github.com)
3 points by willmarquis 8mo ago|0 comments
3.
GitHub launches its vibe coding tool(github.blog)
2 points by willmarquis 1y ago|0 comments
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Perplexity enables Veo 3-powered video creation on X(twitter.com)
2 points by willmarquis 1y ago|0 comments
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Has anyone ever used the Python framework "Deepeval"?(github.com)
1 points by willmarquis 1y ago|0 comments
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OpenAI reveals how to re-align a misbehaving GPT-4o model(openai.com)
3 points by willmarquis 1y ago|0 comments
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Vercel releases its first model for building web applications(vercel.com)
2 points by willmarquis 1y ago|0 comments
8.
by willmarquis 1y ago
Do you know when this will be available on Basalt? They didn't communicate on it yet
9.
by willmarquis 1y ago
Waiting for the ranking on the lmsys chat arena! The only source of truth
10.
by willmarquis 1y ago
Bellmac-32 went 32-bit CMOS when everyone else was still twiddling 8-bit NMOS, then got shelved before the afterparty. IEEE giving it a milestone in 2025 is basically a lifetime achievement trophy for the domino-logic DNA inside every phone
11.
by willmarquis 1y ago
Flatpak’s biggest bug isn’t in the code, it’s the bus factor. > Tons of features are stuck in merge-request limbo because there just aren’t enough reviewers, and if we don’t swap some “+1”s for actual PR reviews (or funding), we’ll be sh
12.
by willmarquis 1y ago
This is just a reminder that memory isn’t just a constraint, it’s a resource.
13.
by willmarquis 1y ago
Exposing unauthenticated /heapdump endpoints in production is a rookie mistake-especially for a service handling sensitive government comms. The presence of MD5 hashes and legacy tech like JSP just adds to the picture of poor security
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by willmarquis 1y ago
Really impressive evolution of a crucial service. The architectural and UX improvements are well thought out, especially the focus on resilience and scalability. Love the transparency around the decision-making process, too-Troy’s commitmen
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by willmarquis 1y ago
Finally, someone had the courage to disrupt the tyranny of the modulo operator. Who needs n % 2 === 0 when you can invoke a large language model and incur network latency, token limits, and API costs to answer the age-old question: is this
16.
by willmarquis 1y ago
Interesting take. The visualization of the inverse tree highlights just how sparse the “preimage space” is under Collatz iterations. The idea that this sparsity contributes to the apparent randomness is compelling. I’m curious whether model
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OpenAI retires GPT-4(arstechnica.com)
2 points by willmarquis 1y ago|0 comments
18.
by willmarquis 2y ago
I got 45% I absolutely must improve it.
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Useful handbook for building AI features (from OpenAI, Microsoft, Mistral etc.)(handbook.getbasalt.ai)
7 points by willmarquis 2y ago|3 comments
20.
by willmarquis 2y ago
Hey guys! I just launched “The PM’s Handbook for Building AI Features”, a comprehensive playbook designed to help product managers and teams develop AI-driven features with precision and impact. The guide covers: • Practical insights on pro