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@kala shared a link, 18 hours ago
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Everything a Senior Engineer Needs to Know About What's Inside an LLM

The shift from RNNs totransformerssolved sequential bottlenecks and long-range decay issues withself-attention. Transformers use encoding, decoding, and tokenization to process sequences efficiently and accurately. This evolution led to models like GPT, which excel at tasks with minimal fine-tuning .. read more  

Everything a Senior Engineer Needs to Know About What's Inside an LLM
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@kala shared a link, 18 hours ago
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GLM-5.2 vs Claude Opus

After a head-to-head coding test, you can use GLM-5.2 as a low-cost open-weights coding model and choose Opus when you need stronger correctness, faster responses, or visual self-checking... read more  

GLM-5.2 vs Claude Opus
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@kala shared a link, 18 hours ago
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The Problem is Prompt Debt

Teams create prompt debt when they hand-tune prompts. They turn natural-language instructions into fragile specs, spend more time adjusting wording, and tie the application to one model... read more  

The Problem is Prompt Debt
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@kala shared a link, 18 hours ago
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Cisco Bets On WideField Security Acquisition To Tackle Agentic AI Security Gap

Cisco executives plan to acquire WideField Security so Cisco teams can add identity and session telemetry to agentic AI security operations... read more  

Cisco Bets On WideField Security Acquisition To Tackle Agentic AI Security Gap
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@kala shared a link, 18 hours ago
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AI's Affordability Crisis

The AI platforms are running the drug-dealer's algorithm, with subsidies resulting in overwhelming demand for their products. Estimates show that the cost of generating tokens ranges from $8 to $14 to generate $1 in revenue. Companies transitioning to token-based pricing have seen significant increa.. read more  

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@kala shared a link, 18 hours ago
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Model Size Scaling in 2023-2031

Token generation speed is constrained by the speed at which the relevant HBM can be read, depending on model size and pipeline setup. Model sizes feasible for each year between 2023 and 2031 range from 10T in 2026 to 1.4 quadrillion in 2031, with pretraining compute and HBM specifications playing es.. read more  

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@devopslinks shared a link, 18 hours ago
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How we migrated a live routing system using AI-assisted refactoring

Datadog says engineers can use AI-assisted refactoring for critical migrations when they own the data model and use tests to limit each rewrite to one method. Engineers should keep system design and optimization in human hands... read more  

How we migrated a live routing system using AI-assisted refactoring
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@devopslinks shared a link, 18 hours ago
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The memory crisis is getting so bad that even retro RAM prices are going to the Moon

DRAM buyers are switching to DDR2 as suppliers run short of mainstream memory, and some device makers are redesigning products around the legacy chip... read more  

The memory crisis is getting so bad that even retro RAM prices are going to the Moon
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@devopslinks shared a link, 18 hours ago
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The database that refused to die: How Postgres survived its own creators

Postgres was developed by Michael Stonebraker and based on the Ingres database system, following ideas from Ted Codd for relational databases. Postgres introduced support for abstract data types, leading to its widespread adoption and compatibility with modern cloud infrastructure. Despite its succe.. read more  

The database that refused to die: How Postgres survived its own creators
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@devopslinks shared a link, 18 hours ago
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Some notes on Lambda MicroVMs

AWS would give developers a middle tier between Lambda functions and ECS or EC2. You get per-VM identity, network addressability, and stronger process isolation while keeping Lambda's burst model. The runtime would fit workloads that need warm state, longer-lived workers, per-tenant sandboxes, proto.. read more  

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