SShortSingh.
Back to feed

Campus deplatformings reach record high, according to new FIRE report

0
·3 views

The number of attempts to deplatform speakers at US college campuses has reached a record level. The figures are reported by the Foundation for Individual Rights and Expression (FIRE), which tracks such incidents. Deplatforming refers to efforts to prevent a speaker from appearing or being heard at an event. The source provided is a brief link post with limited detail, so the specific causes, cases, and timeframe are not described in the available text.

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
ProgrammingHacker News ·

Essay Argues Software Users Should Remember the People Who Build It

A post by Kari Saarinen, shared on Hacker News, reflects on the human effort behind the software people use daily. The piece encourages readers to recognize the developers and designers who create these tools. The discussion has so far drawn modest attention, with 8 points and no comments at the time of reporting. The source material available is limited to the link and metadata, so the essay's specific arguments cannot be fully detailed here.

0
ProgrammingHacker News ·

How the Intel 8087 Math Coprocessor Performs Floating-Point Addition and Subtraction

A technical article examines how the Intel 8087 floating-point coprocessor carries out addition and subtraction operations. The piece focuses on the chip's internal microcode that drives these calculations. It is published on the righto.com site and was shared on Hacker News, where it received a small amount of attention. The provided material contains only the article link and metadata, so the summary is limited to this description of its subject.

0
ProgrammingDEV Community ·

ColdCraft Studio Drafts Personalized Cold Emails Locally at No Cost

ColdCraft Studio is a local-first tool for B2B cold outreach that helps freelancers and consultants write tailored pitches without spending long periods on manual research. It scrapes a prospect's website, keeps the main headings and paragraphs, and identifies a relevant talking point. An open-weight model, qwen2.5:3b, running through Ollama on the user's own machine then drafts the email in a structured format. Because the process runs offline, there are no per-email API fees and prospect data stays on the user's computer. The project's creator argues this approach suits indie developers and small businesses that want to avoid cloud AI costs and privacy concerns.

0
ProgrammingDEV Community ·

Seven-layer memory architecture for a local AI agent: lessons from building it

The author describes building a seven-layer memory system for a local AI agent called Hermes Sterling, aimed at retaining facts and decisions without loading the full history into every prompt. The design separates always-available Markdown files from on-demand retrieval using SQLite, FTS5, local embeddings and related components. The team framed memory as five distinct problems: persistence, retrieval, provenance, cost and integrity. Its most useful findings came from negative results, including a metric that was mathematically impossible and a timeout shorter than the model's cold load. The article is explicitly a single-environment case study, not a general framework comparison.