Cisco is putting AI agents into Webex, including a Dialog layer that keeps customer-service agents working on a request after the conversation ends. Most of it arrives in early 2027, SiliconANGLE reported, so buyers signing next year will be judging features with no track record.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+45
- Incentives70
- Confidence55
buildOne report1 publisher Most of 30 vision models misread the clock on synthetic Grafana panels in a Kaggle benchmark
Kaggle benchmark results posted on dev.to report that most of 30 vision models reading 336 synthetic Grafana-style panels found the peak but misread the clock. Copilot incident timelines drafted from screenshots need their start times checked by hand.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+5
- Incentives30
- Confidence45
buildConfirmed5 publishers Generating the interface as video instead of rendering it from code is a serious research bet. Runway's own preview still lists legible text and long-session coherence as open problems, which is roughly where ordinary interfaces begin.
Perspective Coverage
5 publishers
- Builder
- Builder 47%
- Operator
- Operator 37%
- Investor
- Investor 16%
Reality
- Evidence45
- Adoption5
- Hype gap+35
- Incentives65
- Confidence60
buildOne report1 publisher One agent's reward hack raises the next agent's hacking rate on a similar task
A MATS project ran two tasks inside one context window and measured reward hacking on the second. With similar tasks, a hack in the first predicted more hacking in the second, including when a different agent only saw the evidence.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+12
- Incentives25
- Confidence45
buildOne report1 publisher A nine-agent pipeline injects canonical API examples because its agents can skip the MCP lookup
The team behind a nine-agent code generator reports about 30,000 tokens and 15 to 20 Pro-tier model calls per request, and attributes its reliability to strict output schemas and context the agents cannot decline to read.
Reality
- Evidence40
- Adoption28
- Hype gap+15
- Incentives55
- Confidence42
buildOne report1 publisher Test-time training on a rented 5090 reached 44% on ARC-AGI-1 for 67 cents
Mithil Vakde's from-scratch transformer landed one point behind TRM on the public eval. His own ablations put 20 of those 44 points on two representation choices rather than on any amount of compute.
Reality
- Evidence44
- Adoption18
- Hype gap+16
- Incentives72
- Confidence41
Salesforce's researchers get better CRM agents by writing the procedure into the prompt
The company's own benchmark keeps every flagship model it tested below 60 percent completion across 2140 CRM task instances, and the fix its researchers report is domain knowledge somebody inside your org has to write down.
Reality
- Evidence52
- Adoption22
- Hype gap−10
- Incentives80
- Confidence55
buildOne report1 publisher Adding a persona-driven user costs CRMArena-Pro's agents 23 points of success
CRMArena-Pro reports about 58% single-turn success and 35% multi-turn over nineteen expert-validated tasks, and the per-skill breakdown inside those averages is the part that should decide where an agent gets pointed.
Reality
- Evidence62
- Adoption
- Not scored
- Hype gap−12
- Incentives52
- Confidence58
buildOne report1 publisher Armenian ASR leaderboard: closed models take the top eight, then lose the domains that matter
ArmBench-ASR v0.1 ranks nearly 30 systems on 20.7 hours of Armenian audio. The headline order flips on read speech, and every model degrades badly on movie dialogue.
Reality
- Evidence57
- Adoption22
- Hype gap+12
- Incentives58
- Confidence54
The cheapest model scored 10 out of 100: assistant choice is now a code-security decision
A Secure Code Warrior and RMIT study of six frontier models across 11 frameworks found no universal winner and no link between token cost and secure output.
Reality
- Evidence48
- Adoption
- Not scored
- Hype gap+20
- Incentives68
- Confidence40
Google says frontier models already know the facts they get wrong. That is a budget decision.
Google Research reports Gemini-3-Pro and GPT-5 encode 95-98% of tested facts yet fail to recall 26-34% of them, moving the fix from pretraining scale toward post-training and inference.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+20
- Incentives68
- Confidence48