Fantix

A future with synthetic data in focus. #supernova Antonio Tomarchio Lokesh Bidhan Fabio Manola

Straightforward, logical, Cecilia Dones

Much has been said and written about the nature and impact of a Trump II presidency, but the AI angle has not received too much attention. We'll be following along with reports from Scott Rosenberg.

Interviewers are not trained or incentivized to look for the best in candidates: they are usually looking for red flags. Instead of looking for reasons to hire you, they look for reasons not to. Businesses could (and should) do a lot more to elevate candidates and make them shine. It is in the company's interest not to pass on talent for fear of red flags (most red flags are assumptive anyway) -- so much time is wasted looking for the perfect resume and the perfect answers when the perfect candidates are right there, sitting in an inbox flooded with "imperfect" resumes. Ashley André , we don't have any openings atm but keep an eye out for future opportunities here at Fantix: we don't promise we'll hire you, but we promise we'll look for the best in you!

"Nobody will ever deprive the American people of the right to vote except the American people themselves and the only way they could do this is by not voting." - Franklin D. Roosevelt We can't wait to dig our hands in the data about this election.

One of our favorite books is Tzvetan Todorov’s The Conquest of America. Among other things, he notes how some European chroniclers and conquistadors perceived the Indigenous people as incapable of lying. Europeans did appear to believe that Indigenous communication lacked a layer of deception that was the norm back in Europe. Todorov analyzes this as a cultural misunderstanding rooted in the different ways that European and Indigenous societies conceptualized truth, communication, and social relations. The Europeans interpreted the Indigenous directness and openness in communication as a form of naïveté. In reality, this was more about differing cultural norms around speech and honesty than an actual incapacity to lie. But it did give European conquistadors an edge, as they were able to weaponize deception. As our own, twentyfirst century cultural norms around truth evolve, and as GenAI progresses, so does the need to assess authenticity. Great work Hany Farid!

Is Data the new oil? We at Fantix definitely think so. We're betting on our #genai model for tabular data, Supernova™, to be the rocket fuel you have in mind, Martin Perry!

Most companies approach recruiting the way school teachers approach questioning. They look for mistakes and #redflags instead of talent and potential. They look for reasons NOT to hire a candidate instead of reasons to add a pro to the team. No amount of AI can overcome the human bias of a screener or hiring manager who reads a resume the way the IRS reads a tax return. So here are three simple tips: - Every time you look at a CV, don't start by looking for red flags. Start by listing 3-5 reasons to hire the person. - Don't assume that a gap or short stint are failures. Example: a short stint at Theranos before 2015 would have been seen as a red flag by most hiring managers. Was it really, or was it a sign of integrity? - Remember that a failure is often a greater learning experience than a win. You won't know until you discuss it. Example: Steve Jobs was sacked by the same company he would later turn into the largest company in the world by market capitalization. Good luck, Hayley Finegan Associate CIPD!

How can we inspire our teams to embrace both personal fulfillment and community responsibility? In this article by Daniel Mori, we explore how rethinking traditional PTO policies can create a more engaged, purpose-driven workplace. By rewarding acts of service like donating blood or volunteering, companies can foster a culture where duty and happiness coexist. 💡 What do you think—would you donate a pint of blood for an extra day of paid time off? Let us know in the comments! #PTO #WorkplaceCulture #CommunityEngagement #EmployeeWellbeing #ServiceMatters

Will you restrict comments on your #metaads when given the opportunity? Even when the comments are negative, I appreciate the extra reach that even negative comments bring. Is there such thing as bad publicity on Meta?