Free entropy is the entropy quantity with the right behavior with respect to free independence. We began the study of free entropy with the one-variable case [7], taking as definition, based on random matrix heuristics, the negative of the logarithmic energy of the distribution. We then found in [8] a general definition of χ(X1, . . . , Xn), the free entropy of an n-tuple of noncommutative random variables in a tracial W ∗-probability space, using matricial microstates. The parallel to classical entropy suggests a number of natural properties free entropy should satisfy and several of these have been established ([7, 8, 10, 4, 6]). This new machinery has had striking applications to the solution of some old problems on von Neumann algebras ([9, 2, 3, 1]). On the other hand, from the point of view of this parallel to classical entropy, the theory is still incomplete, which keeps certain further applications to von Neumann algebras out of reach. The main reason for the difficulties is that we know very little about matrix-approximants to elements in type II1 von Neumann algebras. Even the general existence question for such approximants, which would be a first step in this direction, is unsolved and coincides with Alain Connes’ well known problem about embedding type II1 factors into the ultraproduct of the hyperfinite II1 factor. Under these circumstances we began in [11] to look for another approach to free entropy which avoids matricial microstates. This should not be viewed only as an alternative to microstates, since some of the results actually can be used within the microstates approach. This note summarizes the lecture we intended to give at the Gdansk Quantum Probability meeting about our current work towards a “microstates-free” approach to free entropy [11].