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📖 Read In Depth
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They’re made out of weights
A piece exploring the idea that LLMs are fundamentally 'made of weights' — what that means for how we think about model identity, versioning, and the nature of these systems. Given Xinyu's interest in understanding ML systems from first principles, this kind of conceptual framing is exactly the kind of thing worth sitting with.
hn/Best Stories
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Elixir v1.20: Now a gradually typed language
Elixir 1.20 ships with gradual typing — a significant architectural shift for a language that has historically been dynamically typed. For someone who builds systems from scratch to understand them, the design decisions behind adding types to a mature functional language are worth examining closely.
hn/Best Stories
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I built a vulnerable app and spent $1,500 seeing if LLMs could hack it
An empirical, budget-constrained experiment: build a vulnerable app, throw $1,500 at various LLMs, and see what they can actually exploit. Concrete methodology and real results make this more useful than typical LLM capability discourse — directly relevant to anyone thinking about AI agents and security.
hn/Best Stories
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Artificial intelligence is not conscious – Ted Chiang
Ted Chiang — one of the sharpest thinkers on AI and humanity — makes the case that AI is not conscious. This isn't a fluffy take; Chiang consistently grounds his arguments in philosophy of mind with precision. Worth reading as a counterweight to the hype around AI sentience and the r/singularity consciousness discourse.
hn/Best Stories
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Failing grades soar with AI usage, dwindling math skills in Berkeley CS classes
Berkeley CS professors are reporting a correlation between AI tool usage and failing grades, alongside a measurable decline in mathematical reasoning. This is a direct signal about what over-reliance on LLMs does to foundational skill development — relevant both as an ML engineer and as someone who builds from scratch to truly understand.
hn/Best Stories
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Uber's $1,500/month AI limit is a useful signal for AI tool pricing
Simon Willison analyzes Uber's $1,500/month per-employee AI spending cap as a useful market signal for how enterprises are pricing and bounding AI tool access. The post unpacks what this tells us about enterprise AI economics, ROI expectations, and where the pricing models are heading — more substantive than the headline suggests.
hn/Best Stories
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Mathematicians issue warning as AI rapidly gains ground
Professional mathematicians are raising concerns about AI systems rapidly gaining ground in formal mathematics — not just benchmarks but actual proof-finding. The warning signals tension between AI capability and mathematical rigor, with implications for what 'understanding' means in formal domains.
hn/Best Stories
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Did Export Controls Accidentally Create Huawei's Biggest Opportunity Yet?
A sharp analysis of how US export controls on semiconductors may have inadvertently created the conditions for Huawei to build domestic chip capacity at scale. Huawei executives are openly saying this — which is a striking admission and a case study in unintended consequences of geopolitical tech policy.
reddit/r/singularity
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⚡ FYI
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Gemma 4 12B: A unified, encoder-free multimodal model
Google releases Gemma 4 12B, an encoder-free multimodal model that reportedly trades blows with models twice its size. The encoder-free architecture simplifies deployment and cuts inference overhead — an architectural bet worth tracking as multimodal models mature.
hn/Best Stories
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U.S. to dismantle system tracking Atlantic currents that are at risk of collapse
The Trump administration is dismantling the ocean monitoring network that tracks Atlantic Meridional Overturning Circulation — the current system that, if it collapses, would dramatically alter climate across the Northern Hemisphere. Losing the monitoring infrastructure means losing early warning on one of the most consequential potential tipping points in climate science.
hn/Best Stories
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Sam Altman, Dario Amodei, and Demis Hassabis have signed a joint open letter calling on Congress to mandate screening of synthetic nucleic acid orders
Altman, Amodei, and Hassabis have jointly signed a letter urging Congress to mandate screening of synthetic nucleic acid orders — a rare moment of AI lab CEOs coordinating on biosecurity policy. The framing connects frontier AI capabilities to bioweapon risk in a way that's worth understanding.
reddit/r/singularity
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32GB of DDR5 now costs $375 – AI shortage continues to squeeze PC building
DDR5 RAM prices have surged to $375 for 32GB as AI infrastructure demand competes directly with consumer PC memory supply. A concrete data point on how the AI compute buildout is reshaping the broader semiconductor supply chain.
hn/Best Stories
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A Post-Quantum Future for Let's Encrypt
Let's Encrypt outlines its path to post-quantum certificates, signaling the beginning of the practical infrastructure transition to PQ cryptography at massive scale. Given Let's Encrypt's reach across the web, this is when PQ becomes real rather than theoretical.
hn/Best Stories
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Someone did an audit on the new DeepSWE, the results aren't pretty
An audit of the DeepSWE benchmark finds significant methodological problems — rushed execution, edge cases where DeepSeek fails where it shouldn't, and benchmark integrity issues. A useful reminder to look critically at benchmark claims before treating them as capability signals.
reddit/r/singularity
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Trump Signs Executive Order Seeking Oversight of A.I. Models
Trump signed an executive order seeking federal oversight of AI models — a notable shift from the administration's previous hands-off stance. The order's specifics on what 'oversight' means and how it avoids disrupting innovation will matter for how labs and enterprises navigate compliance.
nyt/Technology
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