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International Conference on Quantum Computing, Cybersecurity and Artificial Intelligence 2027…
Quantum computing, cybersecurity, and artificial intelligence are transforming the way organizations approach computation, data protection Continue reading on Medium »
Top 5 AI Models for Coding in 2027
Each year, AI coding models are getting better. They will now be able to assist developers in writing code, debugging, comprehending large Continue reading on Medium »
Anthropic’s prospectus details losses, growth, and, yes, a warning that its AI could end humanity
In its prospectus, Anthropic just told investors it's losing tens of billions of dollars a year, but also growing like crazy, and — oh yeah — its own AI might pose an existential risk to humanity.
When the Preconditioning Exponent Turns Negative: Learning-Rate Coupling and Cross-Environment Generalization
arXiv:2609.30271v1 Announce Type: new Abstract: Adaptive optimizers are commonly parameterized by a fixed power of the second-moment estimate. Existing partially adaptive methods study exponents between momentum-like updates and the standard Adam square root, while the interaction between this exponent and the global learning rate is less understood. We perform a controlled cross-environment study using a paired four-environment classification problem with stable sparse features, environment-dependent spurious sparse features, dense features, and high-dimensional noise. Across \NumRuns{} source-training runs covering 21 preconditioning exponents $p\in[-0.5,0.5]$ and five learning rates $\eta\in[10^{-4},10^{-2}]$, we find that the exponent maximizing cross-environment accuracy decreases almost linearly with $\log_{10}\eta$. The fitted slopes range from $-0.270$ to $-0.300$, with $R^2$ between $0.972$ and $0.996$. At $\eta=10^{-2}$, source-validation selection still prefers positive expo
HybridInfer: Thermal-Aware Reinforcement-Learning Tier Routing for On-Device, Edge, and Cloud LLM Inference
arXiv:2609.30270v1 Announce Type: new Abstract: On-device inference with small language models keeps user data local, works offline, and incurs no per-query cost, so the on-device tier is preferred when it is adequate. It is thermally constrained, however, and I find the constraint is sharper than a slowdown: on a flagship Snapdragon device, sustained on-device generation destabilizes the GPU inference runtime, which crashes or silently wedges after a few consecutive queries. The failure lies in the current toolchain (OpenCL kernel compilation and long-prompt prefill on the mobile GPU), recurs even when the device is cool, and is worst for long generations. Multi-tier routers across on-device, edge, and cloud models can relieve this pressure, but existing routers are thermal-blind and typically evaluated in simulation or on non-mobile hardware. I present HybridInfer, a thermal-aware reinforcement-learning router for a three-tier hierarchy (on-device Llama 3.2 3B, edge Llama 3.1 8B with
Can AI Build Better AI? — A Deep Dive Into Recursive Self Improvement
What if AI no longer needed humans for improvements?Continue reading on Medium »
Price vs Power: Comparing GPT-6 Astra and Claude Opus 5.5 Head-to-Head
Same day. Same pitch. Very different price tags. Here is every number you need before you decide.Continue reading on Skill Stuff »
Your Biggest Competitor May Be a Company You’ve Never Considered
AI-generated answers are changing the competitive landscape and businesses need to understand who customers may encounter before they Continue reading on Medium »
A Short History of AI
Major breakthrough and innovation for artificial intelligenceContinue reading on Medium »
Nothing’s new flagship Headphone 1 Pro put you in the studio
The Headphone 1 Pro flagship headphones keep Nothing’s aesthetic while adding some surprises. | Photo: John Higgins / The Verge Nothing has been on a bit of an audio tear this year, releasing the solid Headphone A and the surprisingly good Ear 3A earbuds. The Headphone A released at $199, while the earbuds are under $100, leaving room for something fancier. That something is the Nothing Headphone 1 Pro, the company's new $399 flagship over-ears that surprised me with everything they offer. They include what you'd expect from a pair of flagship headphones, such as active noise cancellation (ANC), multiple sound profiles, and easy-to-use controls. They also have a few things you might not: a triple-driver design, Auracast, and something I've never seen before: a Flat E … Read the full story at The Verge.
Peak XV ups Surge seed investment ceiling to $5M, unveils 18-startup cohort
Thirteen of the 18 startups in Peak XV’s latest Surge cohort are targeting global markets, while more than half are based in India.