Skip to content
MustHave.ai
MustHave Hoodie Seal
THE MUSTHAVE NEWSROOM

AI news

What’s new. What matters. What do you think?

Top stories

By member votes

DeepSeek Flash 1017: Compare Native API, Workers AI and Training Limits

DeepSeek Flash 1017 is now on Workers AI. Compare provider prices, access requirements and rate limits separately from native API pricing and Fireworks training.

Claude raised a Riemann-zeta lower bound to 67.2%. The proof package is the story

Claude improved a lower bound related to simple Riemann-zeta zeros. The paper, expert checks, transcripts, and Lean files matter more than the viral percentage.

Meta Muse Glimmer fits in 17 GB. Day-one backend support is the real test

Meta Muse Glimmer offers a 17 GB package for 24 GB devices. Builders still need to test runtime support, context memory, and tool-loop reliability.

An AI agent rewrites its safety harness after failure. The held-out test matters

SHE turns unsafe agent trajectories into bounded safety-harness edits. Its held-out test matters more than the self-editing demo.

GPT-5.6-Cyber removes the refusal wall. Your environment becomes the safety system

OpenAI's GPT-5.6-Cyber attempts far more advanced security work. Here is when Daybreak Red is justified and which controls must replace refusals.

Text-to-SQL memory only matters when a repair helps the next question

A new Text-to-SQL study separates exact replay from held-out transfer and reports that verified repairs improved later first-attempt accuracy.

Mistral Shieldstral changes policy without retraining. The threshold is still yours

Mistral Shieldstral accepts a natural-language safety policy at inference time. Builders still have to calibrate thresholds, cost, and human review.

Suno Free vs Pro: Prices, Downloads and Commercial Use

Compare Suno’s free, Pro and Premier allowances. Separate generation credits, monthly downloads and commercial permissions before choosing a billing plan.

EU AI Act deadlines split: high-risk rules moved, model enforcement did not

The EU moved major high-risk AI deadlines into 2027 and 2028, while enforcement powers for advanced general-purpose models are already live.

P-Bench shows an AI can run the code and choose the wrong statistical test

P-Bench tests whether AI agents choose an appropriate statistical method before running R code. Fisher-R1 improves reported results, but its public artifacts are incomplete.

A correct SEC answer can cite the wrong company. FinRank measures the evidence error

FinRank tests whether financial QA systems retrieve evidence from the correct company, filing period, and disclosure context, not merely a plausible passage.