ON 24 OCTOBER, THE OFFICE OF THE STATE COUNCIL ISSUED AN OPINION TODAY ON HOW TO BUILD EMPLOYMENT-FRIENDLY DEVELOPMENT BY ADAPTING TO ARTIFICIALLY INTELLIGENT TECHNOLOGY. THE POSITIVE EFFECTS OF ARTIFICIAL INTELLIGENCE IN CREATING JOBS, EMPOWERING TRADITIONAL JOBS, IMPROVING THE QUALITY OF EMPLOYMENT AND STIMULATING ENTREPRENEURIAL ACTIVITY ARE BEING ACTIVELY ENHANCED, AND THE EFFECTS OF ARTIFICIAL INTELLIGENCE APPLICATIONS ON EMPLOYMENT SUBSTITUTION ARE BEING EFFECTIVELY MITIGATED, AND EFFORTS ARE BEING MADE TO ACHIEVE INCLUSIVE DEVELOPMENT THAT IS COMPATIBLE WITH TECHNOLOGICAL PROGRESS, INDUSTRIAL UPGRADING AND EMPLOYMENT PROMOTION AND THE IMPROVEMENT OF LIVELIHOODS, WITH THE AIM OF ADAPTING TO TECHNOLOGICAL DEVELOPMENT TO PROMOTE QUALITY AND FULL EMPLOYMENT. 1AI...
On October 24th, according to Bloomberg, the AI Video Corporation Higgsfield received an investment from the British and Investment Agency TCV to expand global infrastructure and recruitment. This investment was added to the company's B round financing in August. Higgsfield was founded in 2023 by former Snap executive Alex Mashrabov and AI engineer Yerzat Dulat, with headquarters in San Francisco and most of the engineers in Kazakhstan. According to the company, the registered users of the platform have...
ON OCTOBER 24TH, BONAPARTE'S PRODUCTION, THE THREE STARS: THE FUTURE, WAS OFFICIALLY LAUNCHED ON OCTOBER 23TH. ACCORDING TO THE INTERFACE, THIS WAS THE FIRST IN THE COUNTRY TO PRODUCE AND OBTAIN A LICENCE FOR THE NATIONAL FILM BOARD ' S PUBLIC SCREENING USING AI TECHNOLOGY, AND WAS SHOWN SIMULTANEOUSLY IN MALAYSIA. THE FILM WAS WRITTEN AND DIRECTED BY VIET MING AND LASTED 100 MINUTES, USING SEVEN MYTHS ON THREE-STAR PILES AS A CLUE LINKING ANCIENT CIVILIZATION TO THE SYSTEMIC RISKS OF FUTURE SOCIETIES. MONUMENTS SUCH AS THE COPPER TREE, THE CROSS-SECTION MASK, AND THE BRASS MAN BECAME THE MATERIAL FOR VISUAL DESIGN. PROJECT BY BONA AIGMS...
On October 24, Kimi K3.1 Pro was officially released on the dark side of the month, and the Highspeed high-speed version was launched simultaneously to support the 1 million token context. The official plan is to publish the full model weights by November 4. K3.1 Pro is based on Kimi K3 to increase the calculus of training and to jointly enhance learning in hundreds of downstream missions. The output speed of the Highspeed version is said to be 2 to 3 times the standard version. K3.1 Pro...
On October 23rd, MiniMax rare technology announced today the model weight of MiniMax M3.1 Flash, total parameter 428B, active parameter 23B. The M3.1 Flash model capabilities were fully enhanced compared to the previous M3 model. In addition, M3.1 Flash further enhances the reasoning efficiency through the optimization of the whole model by thin attention, quantitative sensing training and Power-aware learning: whole model thin attention: the first three full notes ...
NOW, THE AI VIDEO MODEL HAS BEEN ABLE TO MAKE VERY RICH FACES. THE ROLE FROWNS, SMILES, TEARS, AND COMPLETES VERY SMALL MOVEMENTS OF SIGHT, MOUTHS, HEADS, TURNS. BUT WHEN PEOPLE ACTUALLY START MAKING THEIR EMOTIONAL SCENES, MANY WILL FIND A STRANGE QUESTION: WHEN PEOPLE DO WHAT THEY DO, THE PICTURE THAT EVENTUALLY COMES OUT IS STILL CLEARLY “AI FEELING”. THIS PROBLEM IS EVEN MORE EVIDENT, ESPECIALLY WHEN IT COMES TO STRESS, EMBARRASSMENT, HAPPINESS AND ANGER. PEOPLE START TO LOOK RIGHT AND RIGHT AS SOON AS THEY GET NERVOUS, FROWN THEIR EYES AND SMILE AS SOON AS THEY'RE HAPPY. LOOK AT THESE MOVEMENTS ALONE...
WHEN THE DRAWINGS ARE MADE, THE CHARACTERS AND SCENES ARE WRITTEN, FOLLOWED BY A LONG LINE OF "SUPER-CLEAR, 8K, FILM SENSE, BEST-QUALITY, SUPER-HIGH DETAILS", AND WHEN THE VIDEO IS MADE, EVERY MOVE OF A PERSON'S HAND, TURN AROUND, STEP FORWARD, AND TURN AROUND IS OPENED, FEARING THAT AN AI WILL NOT BE UNDERSTOOD. THESE WORDS CANNOT SIMPLY SAY “WRONG”. THE PROBLEM IS THAT MODELS HAVE CHANGED. PREVIOUSLY, THE MODEL ITSELF HAD LIMITED CAPACITY TO UNDERSTAND, AND A LARGE PART OF THE REMINDER FUNCTION WAS TO HELP IT TO SUPPLEMENT ITS CAPACITY. THE IMAGE DEFAULTS ON QUALITY, AND WE CONTINUE TO DRAW WORDS; THE VIDEO DOESN'T UNDERSTAND THE RELATIONSHIP BETWEEN ACTIONS, AND WE MOVE A SIMPLE MOVE...
IT'S NOT HARD TO MAKE A NICE PICTURE OF AN AI, IT'S A GOOD FIVE-SECOND SHOT, AND IT'S GETTING EASIER. THE REAL DIFFICULTY IS WHETHER THE PICTURE REMAINS STABLE WHEN A PERSON NEEDS A DOZEN SHOTS IN SUCCESSION, WHEN THE STORY GOES FROM INSIDE TO OUTSIDE, WHEN THE PERSON BEGINS TO CHANGE CLOTHES, GET INJURED, SPEAK AND INTERACT WITH OTHER ACTORS. MANY OF THESE PROBLEMS HAVE BEEN ENCOUNTERED, AND THE FIRST REACTION HAS BEEN TO CONTINUE TO MODIFY THE HINTS. WHEN PEOPLE CHANGE THEIR FACES, THEY ADD MORE PHYSICAL DESCRIPTIONS; WHEN THE SCENE CHANGES, THE ENVIRONMENT IS WRITTEN IN MORE DETAIL; WHEN THE SOUND IS UNSTABLE, THE REFERENCE AUDIO IS UPLOADED. BUT THE LONGER THE PROJECT, THE LONGER YOU FIND, THE LONGER THE HINT IS WRITTEN...
ONE OF THE FIRST THINGS THAT MANY PEOPLE DO WHEN THEY MAKE AN AI VIDEO IS TO OPEN UP A BIG MODEL, DESCRIBE THE IDEAS IN THEIR HEAD BRIEFLY, AND THEN LET AI DIRECTLY GENERATE A HINT. IT SEEMS VERY EFFICIENT, BUT WHEN IT REALLY COMES TO BEING CREATED, IT IS OFTEN DISCOVERED THAT PEOPLE ARE NOT DOING THE RIGHT THING, THAT THE SPECIAL EFFECTS ARE NOT IN THE RIGHT SHAPE, AND THAT THE CAMERA RHYTHM IS NOT THE SAME AS THEY THOUGHT, AND THAT THEY CAN ONLY CHANGE THEIR TIPS AND REPEAT THEIR CARDS. THE PROBLEM DOES NOT NECESSARILY ARISE FROM MODELLING CAPABILITIES, BUT FROM THE VERY BEGINNING WE GAVE AI TOO MUCH "SPECIFY SPACE". IF AI DOESN'T EVEN KNOW WHAT YOU WANT TO DO, EVEN IF IT WRITES A FEW HUNDRED WORDS AND EVEN A THOUSAND WORDS.
NOW THE AI VIDEO CAN ALREADY PRODUCE VERY CLEAR FACES, NATURAL SKIN TEXTURES AND RELATIVELY COMPLEX PERSONALITY MOVEMENTS, BUT MANY OF THE WORKS STILL HAVE A PROBLEM THAT IS HARD TO IGNORE: TAKING ONE FRAME ALONE, THE PERSON SEEMS TO HAVE NO OBVIOUS ERROR, BUT ONCE THE PICTURE IS REALLY MOVING, THERE IS A CLEAR “AI SENSE”. THIS PERCEPTION DOES NOT NECESSARILY STEM FROM INADEQUATE MODELLING CAPACITY, NOR DOES IT NECESSARILY BE RESOLVED BY ADDING WORDS SUCH AS “8K, SUPER-HIGH RESOLUTION, FILM QUALITY, DELICATE SKIN”. IN MANY CASES, WHAT REALLY AFFECTS A PERSON'S SENSE OF TRUTH IS WHETHER THE PERSON'S IDENTITY IS STABLE IN DIFFERENT LENSES AND THE CIRCUMSTANCES IN WHICH HE OR SHE LIVES.
MANY VIDEOS HAVE DONE WELL, BUT THE RESULTS ARE OFTEN LOST TO THE SOUND. IMAGES CAN BE MODELLED AND OPTIMIZED BY CLIPPINGS, BUT THE SOUND IS OFTEN SIMPLY TREATED AS “A SINGLE MUSIC” OR “A LITTLE ENVIRONMENTAL SOUND ENDS”. THE PROBLEM IS THAT WHEN MOST PEOPLE MAKE VIDEOS, THE SOUND IS THE LAST STEP, NOT PART OF THE DESIGN. WE DON'T GO THROUGH THE MUSIC LIBRARY AND THE SOUND LIBRARY MANUALLY, AND WE DON'T RELY ON FEELING TO FIND A PROPER BACKGROUND MUSIC. WE'LL TAKE A MORE STRUCTURED APPROACH: LET AI FIRST UNDERSTAND THE CONTENT AND RHYTHM OF THE WHOLE VIDEO, AND THEN RELY ON IT.
If the person's skin is more natural, the lens is better, and the movement is more stable, why does the official focus on long narratives, multi-mode references and video editors? And why is the gap between 2.5 and 2.0 less obvious in some simple dance and animation scenes? It's really worth comparing, not “which version looks up to date”, but what really happened to them in their actual creation. Can the characters stay on? Can the state of the first shot continue to the next? Is the relationship between complex actions clearer? Can reference materials be used more accurately? Generate Finish...
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