Not many scientific announcements that seem worth including this month either but these two do have major implications if they pan out.

• This first one is likely the only one that has practical implications however. It pertains to the development of a probabilistic weather forecasting model that uses machine learning. Existing weather forecasts are deterministic physics-based simulations while previous attempts to create models that use machine-learning, or AI basically, have yielded less reliable and accurate forecasts. The authors of this paper claim that their new model beats traditional ones in both accuracy and speed. Named GenCast, it is able to generate 15-day global forecasts in 8 minutes. If true, this is obviously both amazing and immediately useful and only the tip of the iceberg of practical applications in the field of AI.
• Things are going on in the field of cosmology as the nature and existence of Dark Energy keeps running into problems. Now we have a new paper that threatens to completely upend this view of the universe. The new conception which the authors call the Timescape claim that since the distribution of matter throughout the universe is not homogenous, contrary to previous assumptions, that the passage of time is not homogenous as well. Specifically time passes faster in the voids where no matter is present and this may be enough to explain the phenomena of distant supernovae redshift without having to invoke Dark Energy as an explanation. I don’t have the qualifications to judge how seriously to take this paper but I’m sure all the cosmologists are talking about it right now.