Call of Duty: Modern Warfare 4’s multiplayer director says there may be no such thing as “perfect” matchmaking. Joe Cecot says the team can measure how matchmaking affects different groups of players, but the goal is to make sure “every match is a good match.” Modern Warfare 4 currently appears to rely heavily on skill-based matchmaking (SBMM), despite the beta offering more matchmaking options. “We can look at the data and how it affects things, and we can quantify how it affects a certain group of players or a large percentage of them in a negative way.”

I was manually scheduling every single video. It was an accident waiting to happen. I'd already figured out how to get AI to edit the show. So I asked myself: What else can I have AI do? Scheduling was next. I had Codex create a skill based on my feedback. Then I watched it add a thumbnail and paste the text into a LinkedIn post. The line breaks were missing. I asked it to fix the post and update the skill. It's still learning. But once I've reviewed a video and I'm happy with it, I can now say, “Schedule the video.” That means more time to be creative and think about strategy and what comes next. What's one task you'd hand off? Start your comment with “I'd hand off…” Press Start: The Road to 3,000. #SocialMediaExaminer# #SMMW27# #AIWorkflows# #ContentCreation#

After reading the comments, questions, and arguments in response to my AI tweets, I’m more excited than ever about the opportunities AI will create. While everyone is distracted trying to take the lazy way out with black-box systems, I’ll be doing what has worked for me for four decades—a timeless approach that will work better than ever as more traders crowd into AI-driven models, leaving skill-based strategies less crowded and less efficiently priced.

Call of Duty: Modern Warfare 4 has officially been revealed. Simon “Ghost” Riley is returning as one of the main characters alongside Captain Price. The campaign story takes place on the Korean Peninsula, where North Korea launches a full-scale invasion that threatens global stability. In multiplayer, the game brings back many classic Call of Duty features that fans have been asking for: >red dots on the minimap >theater mode >map voting >no random bullet bloom for more accurate and consistent gunplay >12 dedicated 6v6 maps available at launch >dynamic Kill Block arenas that can reshuffle their layout in hundreds of ways during matches >updated movement that feels faster than Modern Warfare 2, with improved mantling and slide canceling (but no Omnimovement) >classic pick-three perk system, including options like Ninja >full traditional Prestige system with 10 levels that reset unlocks and offer extra rewards >two progression paths you can switch between at any time, with an exclusive Ghost skin on the regular track >more open playlists with lighter skill-based matchmaking >removal of the annoying “update requires restart” message >Gunfight and Big War modes The full game launches on October 23, 2026, for PS5, Xbox Series X/S, PC, and Nintendo Switch 2.

Today I am announcing META-Bench, the first pure intelligence benchmark for AI. It leverages the hit auto-battler strategy game, TFT. I SWEAR I AM NOT TROLLING let me explain. The industry suffers from labs overfitting and giving us models that score high despite being fundamentally low IQ. Over the years there have been many attempts at benchmarking AI with competitive gaming. I am going to explain the failure points, and why META-Bench is truly the first of its kind. Chess. When picking a game to benchmark with, chess is the obvious first choice. It has clear rules, large player base, and a well defined elo system. The issue with static rule games though is that the best strategies can be figured out ahead of time and baked into the model during the training process. Too easily hacked. Memorizing more strategies is not a proof of intelligence. Dota2/ League. We’ve all heard of OpenAI Five. The issue with benchmarking on a MOBA is that reaction speed is a meaningless metric. We do not need our highly intelligent AI to be able to respond at the speed of top human pro players. And truth be told, we are years away from a LLM that is able to play MOBAs at the highest levels off of vision alone, even though the problem is seemingly solved years ago. What we need is a game that: - Has defined rules but cannot be results hacked during the training process - Large ecosystem of human players - Clear cut results and an elo system - Results that is not reaction time dependent There is only ONE game in the world that meet all the requirements needed for this benchmark. Teamfight Tactics. For those unfamiliar, TFT is a strategy based auto-battler created by Riot Games with ~100 million monthly active players worldwide. It is a highly competitive multiplayer turn based game. It’s as if Chess and League of Legends had a baby that’s born to be an AI benchmark: - There is a new set released every 3 months. - Time limitations in the 10-40 second range rather than the milliseconds required for MOBAs - Skill based enough for esports yet uncertain enough to require reasoning over hard scripts “Can’t labs just train models to be good at TFT?” Nope and the reason why it’s unhackable comes down to how the benchmark itself is set up. Due to the fact that the entire game is changed every 3 months and patched every 2 weeks, any data on a previous TFT set is effectively useless when it comes to raw pattern recognition. Strategy wise, there are core concepts that carries over from set to set. That’s why we have the same players hitting the highest elo every season even though each set is so different. Any efforts at overfitting here can be fully negated if the benchmark harness used for all models has every core strategy built in. You are never going to beat a carefully curated harness layer with strategy training at the model layer. By presenting the models in the harness with the same core strategic concepts, the only difference in outputs will be its ability to reason across the different scenarios of each game. The luck elements of TFT already ensures that no 2 games will be the same in the reasoning required. Run the models against each other enough times and you will have a clear winner. Aka, the world’s first true IQ test for AI. I really, really want to know which AI model would win this. So I am going to build this. Not too sure how I’m going to fund it yet so if you would like to invest HMU. I’m also looking to put together a small team of individuals who are both high elo in TFT and highly experienced with agentic AI. And if you are even remotely curious on the results, like and help share this post 🫡

INDIA BROUGHT THE SKILL. THE SILVERS BROUGHT THE SWAG. Medals in hand. Heads held high. Aura unmatched! Six Silver Medals. Six extraordinary achievements. One unforgettable journey on the world stage. The pride, the passion, the podium moments, some victories speak louder than words! Congratulations, Team India! You made the nation shine. @PMOIndia @narendramodi @JoshiPralhad @mansukhmandviya @jayantrld @Office_ChJayant @MSDESkillIndia @SIDH_App @EduMinOfIndia @YASMinistry @minmsme @UPSDMOfficial @UPGovt @ASCI_AgriSkills @AMHSSCIndia @SkillsASDC @bwsscofficial @ConstructionSSC @EssciIndia @FFicsi @ffscin @HCSSC_INDIA @DwsscInfo @Hydrocarbon_SSC @sscnasscom @IISSSC_ORG @iascssc_india @leatherssc @LSSSDC @LogisticsSSC @MEPSCindia @mesc_india @PowerSSCIndia @RasciOnline @RCPSDC2012 @MiningSSC @SCPwD @sscgreenjobs @SPEFL_OFFICIAL @TSSCINDIA @TextileSSC @GJSCI @skillthsc @WMPSkillCouncil #WorldSkillsShanghai2026# #TeamIndia# #WorldSkillsIndia# #IndiaSkills# #SilverMedal# #Winners#