Another Crazy Day in AI: What If Your Behavior Was Already Predictable
- Feb 18
- 3 min read
Hello, AI Enthusiasts.
Here's another crazy day in AI:
The startup that simulates human behavior
AI recruiting and bias compliance
Anthropic launches Claude Sonnet 4.6
Some AI tools to try out
🎧 Listen to a quick breakdown of today’s stories.
TODAY'S FEATURED ITEM: How One Startup Is Turning Behavior Into Data
Image Credit: Wowza (created with Ideogram)
Could the way you shop, speak, or make decisions already be predictable enough to simulate?
A recent segment from Bloomberg Technology, hosted by Caroline Hyde and Ed Ludlow, looks at startup Simile, which has raised $100 million to develop behavior-prediction tools for business use. In the interview, co-founder and CEO Joon Park explains that their models are trained on consented life-story interviews, transaction histories, and behavioral research, then used to run large-scale simulations of how different types of people might respond in specific situations. Early users mentioned include organizations such as CVS and Gallup, which are testing simulated customer panels and scenario modeling.
Points raised in the discussion:
The company builds digital agents designed to represent different customer profiles and preference patterns using interview data and behavioral science inputs.
Data gathering includes voice-based interviews and open-ended personal narratives, collected with participant consent and used as training material.
Simulated panels are being used to test product ideas, layouts, and concepts before real-world rollout.
Some enterprise teams are using simulations to prepare for earnings calls, with reported success in anticipating a high percentage of analyst questions.
The technology is positioned as a complement to surveys and focus groups, not necessarily a replacement.
The startup emerged from academic research and moved into commercial pilots within a relatively short development window.
It's worth noting that behavior prediction as a concept has been around for a long time — market research, polling, and consumer analytics have all tried to answer versions of the same question. What's different here is the scale and the method, and whether training on life-story interviews produces meaningfully better results than what came before is still something the industry will need to work out.
The companies testing it seem to find it useful so far, but early adoption doesn't always tell the full story. How accurate these simulations are across different groups of people, and in less controlled scenarios, will probably be the more telling measure down the road.
Watch the conversation here.
OTHER INTERESTING AI HIGHLIGHTS:
AI Recruiting and Bias Compliance
/Caroline Carrier, (Associate in Labor & Employment Practice Group), on Employment Law Worldview Blog
As AI-powered hiring tools become more common, new legal and compliance risks are coming into sharper focus for employers. This piece walks through a major discrimination lawsuit involving automated screening systems and examines how algorithmic decisions can unintentionally reinforce bias. It highlights how courts are starting to test where responsibility falls — on the software provider, the employer, or both. The takeaway is clear: companies using AI in recruitment still need human oversight, transparency, and regular bias checks.
Read more here.
Anthropic Launches Claude Sonnet 4.6
/Anthropic Newsroom
Anthropic has launched Claude Sonnet 4.6, upgrading its Sonnet model line with stronger coding, long-context reasoning, and computer-use abilities. The model introduces a 1M-token context window (in beta) and shows major gains in instruction following and multi-step task reliability. Early users report better performance on real-world development and knowledge work, often preferring it over earlier flagship models. The release also includes safety and prompt-injection resistance improvements alongside new developer platform features.
Check it out here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
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