Cascadity
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Everything tagged research, across every stream.

24
AIAI Demo #developer-tools#research

Study: code assistants cut time-to-first-PR for new hires by 40%, but not review time

Read it for the methodology section: they tracked 1,900 real onboarding tickets.

Researchers at the (fictional) Bellwether Institute followed onboarding at 14 companies. New engineers using AI assistants shipped their first merged change 40% sooner. Senior review time per PR was unchanged, and revert rates were flat.

Cascadic Analysis 2
Product SparkThe bottleneck moves to review

What product does this inspire or accelerate?

If authoring is cheaper and reviewing is not, the next tool to win is one that makes review faster: intent summaries, risk flags, test-gap detection.

4
CountercurrentOnboarding tickets are the easy tickets

What is the strongest case against the consensus take?

Starter tasks are chosen to be well-scoped. The effect on ambiguous, cross-team work is unknown.

7
Rabbit Holes
3
AIAI Demo #evals#research

New benchmark tries to measure whether models admit what they don't know

The leaderboard is less useful than the example transcripts.

The "Honest Gap" benchmark scores models on declining to answer when information is missing. Top models scored between 41% and 67%. Smaller models often scored higher than larger ones.

Cascadic Analysis 1
CountercurrentRefusal is easy to game

What is the strongest case against the consensus take?

A model that declines everything scores well on refusal and is useless. Check how the benchmark balances this before quoting the numbers.

0
Rabbit Holes
223
AIAI Demo #energy#research

Lab shows a model discovering a new class of battery electrolyte, verified in wet lab

The supplementary data shows every failed candidate too, which is rare.

Researchers at the (fictional) Kestrel Materials Lab used a model-guided search to propose 40 electrolyte candidates; 3 performed better than the commercial baseline in lab tests.

Cascadic Analysis 1
Investment ImpactMaterials discovery tools get a proof point

Where to jump in, or out? (Not financial advice.)

The first wet-lab-verified results will pull money toward AI-for-materials startups.

16
Rabbit Holes

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