Voici comment lancer une agence de publicité facilement avec l’IA Et grâce à cette méthode, absolument TOUT LE MONDE peut y parvenir facilement ! Voici comment : [ Ajoutez en signet et RT pour ne pas perdre ! ]
STARTUPS
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Anthropic as OpenAI’s Key Competitor Driving Innovation
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Anthropic is the most important competitor we have to OpenAI. They keep pushing them to invent better and especially more efficient models.
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$100B AI Fund Expansion Signals Urgent Infrastructure Demand
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The expansion of a $100B #AI fund. @RodrigoLiang says interest in startups shows “urgent demand for scalable AI infrastructure,” & that Nvidia “can’t keep up with demand.” @nmasc_ of @theinformation writes all about it in a great article below.
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01.ai Trains #6 World Model for $3M with $0.14/M Token Inference
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01.ai trained the #6 model in the world for $3M pre-train cost. And the inference price is $0.14/million tokens! tomshardware.com/tech-indust…
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01.ai Trains GPT-4 Competitor with 95% Fewer Resources
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Chinese startup 01 .ai trains competitive LLM using 95% fewer resources through innovative engineering optimization. 01 .ai trained a GPT-4 competitor using just 2,000 GPUs and $3M, while achieving competitive performance. Through innovative engineering and optimization techniques, they achieved what OpenAI did with $80-100M, demonstrating remarkable cost efficiency in LLM training. → Training Resource Optimization at 01 .ai Using only 2,000 GPUs versus OpenAI's estimated 10,000+ GPUs for GPT-3. The company achieved competitive performance despite severe hardware constraints due to US regulations. → Cost Efficiency Breakthrough $3M total training cost compared to OpenAI's $80-100M for GPT-4. Model ranked sixth in performance according to UC Berkeley's LMSIS benchmark. → Technical Innovation in Inference Transformed computational problems into memory-oriented tasks. Built multi-layer caching system and specialized inference engine. Achieved inference costs of 10 cents per million tokens – 1/30th of industry standard. → Engineering Focus Areas Prioritized GPU resource allocation. Optimized both training speed and inference efficiency. Developed custom inference architecture for maximum hardware utilization.
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Top Agent Applications: Cursor, Perplexity, Replit
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Top agent applications? #1: Cursor (
@cursor_ai ) #2: Perplexity (
@perplexity_ai ) #3: Replit (
@Replit ) What other ones would you say? Full survey here: https://
langchain.com/stateofaiagents -
Chinese AI Startup Trains GPT-4 Rival with Minimal Resources
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Chinese AI Startup http://
01.ai Trains GPT-4 Rival with Minimal Resources http://
01.ai, a Chinese AI startup, has trained its advanced model, Yi-Lightning, with just 2,000 GPUs and $3 million, compared to the $80–100 million OpenAI reportedly spent on -

Open Source AI: Benefits and Challenges at Slush 2026
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Our Chief Technologist & Co-Founder, @KunleOlukotun will be onstage at @SlushHQ on Nov. 20th. He’ll be speaking about the benefits & challenges of #opensource #AI alongside: @Thom_Wolf – @huggingface @graceisford – @Lux_Capital @ravmattu – @nytimes
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Neo launches first autonomous AI Engineer agent
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First look at @saurabhvij137 and @withneo, launched this morning.
— Robert Scoble (@Scobleizer) 15 novembre 2024
"First autonomous AI Engineer."
Unaligned #35. pic.twitter.com/V6zvDNsAqzFirst look at @saurabhvij137 and @withneo
, launched this morning. "First autonomous AI Engineer." Unaligned #35. -
Being Early in Silicon Valley Innovation Strategy
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Love! Being early is the same as being wrong, many in SIlicon Valley say.
