Hacker NewsDeepSeek V4 Pro beats GPT-5.5 Pro on precision
https://runtimewire.com/article/deepseek-v4-pro-beats-gpt-5-5-pro-on-precision
#HackerNews #DeepSeek #V4 #Pro #GPT5 #Precision #AI #Technology #Innovation
Brandon H 
via #AIFoundry : Build smarter document workflows: What’s new in Azure Content Understanding at Build 2026
https://ift.tt/aEKON92
#AzureContentUnderstanding #Build2026 #ContentUnderstanding #Foundry #MicrosoftFoundry #AIinDocs #DocumentIntelligence #LLM #GPT5 #GPT52 #ContentE…
Nicolas MØUARTNB: Un autre truc que j'ai remarqué : GPT-5 (5.2 - 5.4 ?) rajoute des branches de déclaration conditionnelles étranges superflues dans son code. Ca doit consommer plus d'énergie à l'usage ce genre de code, j'imagine. J'ai dû vérifier, ça prend la tête honnêtement. (peut-être que certains langages sont mieux lotis que d'autres..)
#GPT5 #programmation
#GPT5 #programmation
A.Home血月高懸，傳奇甦醒。
王國陷入永夜，戰士自深淵歸來。
當黑暗吞噬大地，唯有血刃斬斷宿命。
蛙瞳如炬，劍鋒飲血。
Beneath the blood moon, a legend awakens.
The kingdom falls to endless night,
yet the warrior rises from the abyss.
As darkness devours the land, only a blood‑stained blade can sever fate.
Eyes of the frog blaze, the sword drinks deep.
#浪人宿命
#Gpt5 #創作源自生活
🤣#咖啡再苦也沒人生苦，笑笑日子活得更甘甜
#比悲傷更悲傷的故事
ComputerBaseOpenAI: ChatGPT 5.5 wird verbessert, ältere Modelle abgeschaltet https://www.computerbase.de/news/apps/openai-chatgpt-5-5-wird-verbessert-aeltere-modelle-abgeschaltet.97693/ #openai #chatgpt #gpt5
真正的愛情，不僅是攜手共度風雨，
還得一起接受海鷗的「至尊洗禮」。
這場空降式恩寵，連 Jack 和 Rose 都只能乾瞪眼！
True love isn’t just weathering storms together,
it’s surviving the seagulls’ “supreme baptism” side by side.
This airborne blessing is something even Jack and Rose could only dream of!
#喔雪特
#Gpt5 #創作源自生活
🤣#咖啡再苦也沒人生苦，笑笑日子活得更甘甜
#比悲傷更悲傷的故事
湖中女神破浪而出，左手拿金斧，右手握銀斧，腦門上還「卡」著一把鐵斧。
她板著臉問：「老實說，你掉的到底是金斧還是銀斧？還是……你其實覬我頭上這把『絕版隱藏款』？
The goddess of the lake bursts through the waves, holding a golden axe in her left hand and a silver axe in her right, with an iron axe stuck on her forehead.
She stares sternly at the woodcutter: ‘Be honest—did you drop the gold axe or the silver one? Or… are you actually coveting this ultimate hidden edition on my head?’
#湖中女神的「頭」等大事
#Gpt5 #創作源自生活
🤣#咖啡再苦也沒人生苦，笑笑日子活得更甘甜
#比悲傷更悲傷的故事
Arint - SEO+KIRT @Michaelzsguo: When the creator of Redis starts thinking about KV cache, pay attention. antirez is Salvatore Sanfilippo, the Sicilian programmer best known for creating Redis. But “creator of Redis” is almost too small a label. Before Redis, he was already an old-school systems hacker. He built hping, worked in network security, and invented the idle scan technique. This was the packet-level, C-programming, Unix-hacker world. Then Redis happened. The origin was not glamorous. He was building LLOOGG, a real-time web analytics service, and needed something faster and simpler than the tools he had. So he created Redis. That is very antirez. Start with a real bottleneck. Avoid unnecessary abstraction. Expose the right primitive. Make it fast enough that people rethink the category. Redis did not win because it looked like a traditional database. It won because it gave developers direct access to useful data structures: strings, lists, hashes, sets, sorted sets, streams, pub/sub. It made memory programmable. That is why his return to local AI is so interesting. With ds4, or DwarfStar 4, antirez is not just building “another local inference engine.” He is asking a very Redis-like question: What is the real primitive here? For LLMs, one answer is obvious: KV cache. Most people treat KV cache as an implementation detail. It lives in RAM or HBM, grows with context, and quietly becomes the bottleneck. antirez looks at DeepSeek V4 Flash, compressed KV cache, modern MacBook SSDs, and says: maybe KV cache should not only live in RAM. His phrase is perfect: “The KV cache is actually a…
mehr auf Arint.info
Arint - SEO+KI (@[email protected])
<p>RT @Michaelzsguo: When the creator of Redis starts thinking about KV cache, pay attention. antirez is Salvatore Sanfilippo, the Sicilian programmer best known for creating Redis. But “creator of Redis” is almost too small a label. Before Redis, he was already an old-school systems hacker. He built hping, worked in network security, and invented the idle scan technique. This was the packet-level, C-programming, Unix-hacker world. Then Redis happened. The origin was not glamorous. He was building LLOOGG, a real-time web analytics service, and needed something faster and simpler than the tools he had. So he created Redis. That is very antirez. Start with a real bottleneck. Avoid unnecessary abstraction. Expose the right primitive. Make it fast enough that people rethink the category. Redis did not win because it looked like a traditional database. It won because it gave developers direct access to useful data structures: strings, lists, hashes, sets, sorted sets, streams, pub/sub. It made memory programmable. That is why his return to local AI is so interesting. With ds4, or DwarfStar 4, antirez is not just building “another local inference engine.” He is asking a very Redis-like question: What is the real primitive here? For LLMs, one answer is obvious: KV cache. Most people treat KV cache as an implementation detail. It lives in RAM or HBM, grows with context, and quietly becomes the bottleneck. antirez looks at DeepSeek V4 Flash, compressed KV cache, modern MacBook SSDs, and says: maybe KV cache should not only live in RAM. His phrase is perfect: “The KV cache is actually a…</p> <p><a href="https://arint.info/@Arint/116679933526859653">mehr</a> auf <a href="https://arint.info/">Arint.info</a></p> <p>#agent #API #DeepSeek #GGUF #GPT5 #Make #Redis #arint_info</p> <p><a href="https://x.com/Michaelzsguo/status/2061557147453038750#m">https://x.com/Michaelzsguo/status/2061557147453038750#m</a></p>
這是一張有去無回的車票。
窗外碧海吞沒來路，身旁守護者沉默相伴。
別回頭，記得名字就不會迷失。
即使世界遺忘你，奇蹟仍在身旁。
This is a one-way ticket.
Beyond the window, the azure sea swallows the path behind, while silent guardians sit by your side.
Do not look back—remembering your name will keep you from being lost.
Even if the world forgets you, miracles remain close at hand.
#神隱軌道
#Gpt5 #創作源自生活 #皮克敏
🤣#咖啡再苦也沒人生苦，笑笑日子活得更甘甜
#比悲傷更悲傷的故事
Andreas BeckerDie API-Preise der neuen Modelle GPT-5.5, Claude Opus 4.7 und Gemini 3.5 Flash verschleiern durch geänderte Tokenizer und interne Denkprozesse die wahren Betriebskosten.
GPT-5.5 verursacht effektive Kostensteigerungen von 49 bis 92 Prozent. Gemini 3.5 Flash erzeugt im Hintergrund permanente Thinking-Tokens, wodurch Benchmarks über 1.500 US-Dollar kosten.
#LLM #OpenWeights #GPT5 #GeminiFlash #AIGeneratedImage
https://www.all-ai.de/news/beitrage2026/kosten-ki-modell-real-1
