SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Developer Builds Non-Transformer Language Model From Scratch Using Rust

0
·1 views

A developer has released PSSA, a language model built entirely from scratch using the Rust programming language. Unlike most modern language models, PSSA does not rely on the transformer architecture that underpins systems like GPT. The project was shared on Hacker News, where it attracted modest early attention with 12 upvotes. The source code is publicly available on GitHub, allowing others to explore or contribute to the implementation. The project represents an experimental approach to language modeling outside the dominant transformer paradigm.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Anthropic's Claude Sonnet 5.5 Outperforms Opus 5.5 on Key Coding Benchmark at Half the Price

Anthropic released Claude Sonnet 5.5 on September 28, priced at $2/$10 per million tokens — exactly half the cost of Opus 5.5. On Terminal-Bench 4.0, a benchmark measuring real-world agentic coding performance, Sonnet 5.5 scored 70.6% against Opus 5.5's 66.4%, marking a rare instance where a mid-tier model outperformed its flagship sibling. Across most other benchmarks, however, Opus 5.5 holds narrow leads, and the two models are nearly indistinguishable on knowledge-work evaluations. A critical caveat is that the benchmark comparisons used different effort levels — Sonnet 5.5 was tested at Max effort while Opus 5.5 ran at a lower Xhigh setting, meaning per-task costs can actually favour Opus for complex workloads. The release also coincided with OpenAI's GPT-6 Sol launching at the same price point, signalling that mid-tier model pricing has effectively become a commodity.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Selenium vs Cypress: Which Testing Tool Should Beginners Learn First in 2026?

Selenium and Cypress are the two most in-demand automation testing tools appearing in job listings, posing a common dilemma for students and freshers entering the field. Selenium is an open-source browser automation tool supporting multiple languages including Java, Python, and JavaScript, while Cypress is a JavaScript-only tool that runs tests directly inside the browser for faster feedback. A key difference is browser support: Selenium covers Chrome, Firefox, Edge, and Safari, whereas Cypress supports Chrome-family browsers and Firefox, with Safari's WebKit engine still experimental. According to the World Quality Report 2025-26 by Capgemini, Sogeti, and OpenText, around 89% of organizations are piloting or using generative AI in quality engineering, yet nearly half are still in the planning stage for test automation. Experts recommend beginners pick one tool, learn it thoroughly, and build the foundational skill of writing reliable automated tests, since understanding the underlying code remains essential even as AI-assisted coding grows.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How to Build a Secure SMS OTP Login System With Cooldowns and Attempt Limits

A technical guide outlines best practices for implementing passwordless phone login using SMS one-time passwords, recommending developers treat the process as a state machine rather than simple send-and-check handlers. The approach involves issuing a random six-digit code, storing only a hashed digest, expiring it quickly, and allowing only one verification attempt per code. Four separate controls must be tracked independently: OTP expiry, minimum cooldown between sends, a per-window send quota, and a failed-attempt counter. Crucially, requesting a new code should rotate the existing secret without resetting the failure budget, closing a loophole that could allow unlimited guessing. The guide suggests example defaults of a 10-minute OTP lifetime, 60-second cooldown, five sends per hour, and five failed attempts, while emphasizing these values should be tuned against real-world abuse scenarios.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

A Practical Guide to Using Stacked Pull Requests for Cleaner Code Reviews

Stacked pull requests (PRs) are a development technique where a chain of branches each targets the one below it rather than the main branch, allowing large changes to be reviewed in smaller, focused layers. The approach is designed to reduce reviewer cognitive load — for example, a 1,400-line change can be split into four PRs of roughly 350 lines each. Developers benefit by maintaining momentum, as they can continue building on upper layers while lower ones are still under review. However, the method is not universally applicable: small bug fixes, unrelated changes, or teams without an established stacked-PR workflow should avoid it. The GitHub CLI extension 'gh stack' supports the workflow with commands to initialize, view, and submit stacked PRs from a single repository.

0 comments Read more at DEV Community
Developer Builds Non-Transformer Language Model From Scratch Using Rust · ShortSingh