buildConfirmed3 publishers Instinct raised $1 billion at a $10 billion valuation, four times the price TechCrunch reported for its August round. Its agent works through users' own screens and accounts, so permission and recovery are Instinct's to engineer before any app maker is asked.
Perspective Coverage
3 publishers
- Builder
- Builder 23%
- Operator
- Operator 27%
- Investor
- Investor 50%
Reality
- Evidence55
- Adoption20
- Hype gap+45
- Incentives60
- Confidence60
Twenty model calls turn a two-second step into a 45-second wait
Red Hat clocks the same 20-call agent task at roughly 45 seconds on a slow backend and about 13 on a fast one. Model choice for agents is turning into a per-call latency budget, with capability as one input.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+10
- Incentives50
- Confidence55
Extra memory made post-training agents better at the plan they already picked
A Tsinghua-led study handed model training to coding agents and got real gains out of them, then found the agents almost never revised the method they chose in the first few minutes, which is the exact part that successor-building roadmaps assume.
Publishers:turingpost.com
Reality
- Evidence44
- Adoption
- Not scored
- Hype gap+18
- Incentives30
- Confidence38
buildOne report1 publisher Post-training agents pick their strategy before they run a single experiment
An empirical study of publicly released PostTrainBench trajectories finds the training strategy is fixed at step one and the whole remaining budget goes on local tweaks, with scaffolding and human hints improving execution and leaving that pattern intact.
Reality
- Evidence58
- Adoption20
- Hype gap+12
- Incentives35
- Confidence55
buildOne report1 publisher DeepSeek paid for Engram's lookup table by deleting 17 of its 72 routed experts
The Engram explainer sells a second scaling axis beyond mixture-of-experts. The published comparison holds parameters and per-token compute fixed, which makes it a swap.
Reality
- Evidence52
- Adoption14
- Hype gap+32
- Incentives62
- Confidence55
buildOne report1 publisher Re-graded on post-cutoff problems, the cheap model loses 30 points and routing triples its value
OmnisBench's author rebuilt his split from date-stamped LiveCodeBench problems. The cheap tier fell from 90% to 60%, and a 4,096-token cap had been marking the frontier model absent.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+12
- Incentives78
- Confidence48