Documentar științific care aduce dovezi arheologice pentru uriașii din Biblie Pentru noi cei care credem în adevărul biblic, știm că uriașii au existat în trecutul antic, iar atunci când găsim arme masive le vom interpreta ca dovezi pentru ceea ce Biblia ne descrie ca fiind urmașii uriașilor 👉
https://c.aparatorul.md/87b27 👈
#adevărulbiblic #armeuriașe #Biblie #cămașadezale #Israel #KfarMonash #lance #MareaMediterană #Monash #Muzeu #Oameniideștiință #obiectedinme...
https://c.aparatorul.md/87b27
ByteDance Just Open-Sourced a 3B Model for Images, Video, Editing, and Reasoning - Firethering
Most multimodal AI systems today are still collections of separate tools pretending to be one product.
One model generates images. Another edits them. A different one handles video. The entire stack works, but it often feels stitched together behind the scenes.
ByteDance just used a different approach.
The company just released Lance, a new open multimodal model that tries to handle image generation, video generation, editing, and visual reasoning inside one native framework. The surprising part is not just the scope. It is the size. Lance runs with only 3 billion active parameters while still posting competitive numbers across image, video, and editing benchmarks.
The industry has spent the last two years building specialized AI systems for every separate media task imaginable. Lance is part of a growing push in the opposite direction: fewer models, more unified behavior, and systems that can move between understanding and generation.
RT @support_huihui: ByteDance hat gerade ein Open-Source-Modell namens Lance veröffentlicht – und das Beste daran: Es läuft mit nur 3 Milliarden aktiven Parametern! 🤯 Es kann Text, Bilder und Videos verarbeiten und gleichzeitig alle drei generieren! Absolut faszinierend!
mehr auf Arint.info
#AI #ByteDance #HuggingFace #Lance #MachineLearning #OpenSource #arint_info
https://x.com/support_huihui/status/2056664596002587062#m
<p>RT @support_huihui: ByteDance hat gerade ein Open-Source-Modell namens Lance veröffentlicht – und das Beste daran: Es läuft mit nur 3 Milliarden aktiven Parametern! 🤯 Es kann Text, Bilder und Videos verarbeiten und gleichzeitig alle drei generieren! Absolut faszinierend!</p>
<p><a href="https://arint.info/@Arint/116602076691369841">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p>
<p>#AI #ByteDance #HuggingFace #Lance #MachineLearning #OpenSource #arint_info</p>
<p><a href="https://x.com/support_huihui/status/2056664596002587062#m">https://x.com/support_huihui/status/2056664596002587062#m</a></p>
Armor and lance for a cavalryman, Germany, 16th-17th century AD
Documentar științific care aduce dovezi arheologice pentru uriașii din Biblie Pentru noi cei care credem în adevărul biblic, știm că uriașii au existat în trecutul antic, iar atunci când găsim arme masive le vom interpreta ca dovezi pentru ceea ce Biblia ne descrie ca fiind urmașii uriașilor 👉
https://c.aparatorul.md/kj7yf 👈
#adevărulbiblic #armeuriașe #Biblie #cămașadezale #Israel #KfarMonash #lance #MareaMediterană #Monash #Muzeu #Oameniideștiință #obiectedinme...
https://c.aparatorul.md/kj7yf
Is Parquet becoming the bottleneck? Why new storage formats are emerging in 2025 (Lance, Vortex, and more)
Parquet gave data lakes a common language: columnar layout, good compression, and fast scans. That still works well for classic analytics. But workloads have changed. We now mix wide scans with point lookups, handle embeddings and images, and run on S3-first stacks. On NVMe you want lots of tiny random reads. On S3 you want fewer, larger range requests. A format tuned for one world can feel chatty or slow in the other.
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