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What's Happening in AI

20 companies active · 310 events in the last 24h

Cerebras

#20
Product Launch

📰 OpenAI’s GPT-5.3-Codex-Spark Leverages Cerebras Hardware to Revolutionize Real-Time Coding OpenAI has unveiled GPT-5.3-Codex-Spark, a specialized AI model optimized for real-time code generation using Cerebras’ Wafer-Scale Engine, marking a significant departure from Nvidia-dominated AI infrastructure. The model d... # AINews # AI # Teknoloji # MachineLearning # Haber 🔗 https:// aihaberleri.org/news/en/news/o penais-gpt-53-codex-spark-leverages-cerebras-hardware-to-revolutionize-real-time-coding

90%
3events76

Zhipu AI

#44
Product Launch

China's Zhipu AI Launches GLM-5 with 30% Price Increase-As Stock Jumps 34%

79%
3events35

Anthropic

#3
Product Launch

📰 Anthropic Surges to $380 Billion Valuation After Record $30 Billion Funding Round Anthropic has secured a landmark $30 billion funding round, pushing its valuation to $380 billion - making it one of the most valuable private AI companies in history. The capital infusion signals unprecedented investor confidence in generati... # AINews # AI # Teknoloji # MachineLearning # Haber 🔗 https:// aihaberleri.org/news/en/news/a nthropic-surges-to-380-billion-valuation-after-record-30-billion-funding-round

77%
41events

Nvidia

#5
Product Launch

📰 NVIDIA’s DMS Technique Slashes LLM Inference Costs by 8x with No Accuracy Loss NVIDIA has unveiled Dynamic Memory Sparsification (DMS), a breakthrough software technique that reduces LLM KV cache memory usage by up to 8x without compromising model accuracy. Combined with Blackwell hardware advancements, inference costs are n... # AINews # AI # Teknoloji # MachineLearning # Haber 🔗 https:// aihaberleri.org/news/en/news/n vidias-dms-technique-slashes-llm-inference-costs-by-8x-with-no-accuracy-loss

76%
17events

Bytedance

#12
Product Launch

ByteDance Releases Protenix-v1

76%
5events

Google

#2
Product Launch

Google officially claims Gemini generating malware is "Intended Behavior" - Full Disclosure of Phase 1

74%
44events

Hype Gap

🎯 AI Intelligence Highlights

🔥 OpenAI is DOMINATING with 455 events this week
📉 Fast.ai sentiment tanking at 10% - community is NOT happy
💩 MiniMax talks 11% more than they ship
Zhipu AI quietly shipping - under-promise, over-deliver champion
Generated from real-time data • Updates every 5 minutes

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Data refreshes every 5 minutes

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Deep Analytics

Track trends and sentiment over time

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How This Works

We track AI-related events from Reddit, arXiv, GitHub, company blogs, tech news, and other places where actual AI stuff happens. Not just press releases.

Scoring Formula

score = Σ(event_quality × sentiment × recency_weight)

Quality score filters out the noise. Sentiment tracks if it's good news or "oops we're having layoffs" news. Recency means old events matter less than new ones.

✓ What We Track

  • → Product launches (actual demos)
  • → Research papers (arXiv, journals)
  • → GitHub activity (real code)
  • → Partnerships (with substance)
  • → Funding rounds (validated)
  • → Hiring/layoffs (market signals)

✗ What We Ignore

  • → Vague press releases
  • → "Exploring AI" announcements
  • → Repackaged old news
  • → Executive quotes about AI
  • → Generic "AI strategy" posts
  • → Marketing without product
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Why Sector HQ vs Other AI Rankings?

Sector HQOther Rankings
Update Frequency
Every 5 minutes
Monthly/Quarterly
Data Sources
212 verified sources
Press releases only
Hype Detection
Marketing vs Reality
No hype analysis
Ranking Basis
Actual activity & code
Funding & PR
Companies Tracked
100+ companies
Top 10-50 only

No bias, no pay-for-ranking. Our rankings are 100% algorithmic, based on real activity from GitHub, arXiv, Reddit, and tech communities. We measure what companies do, not what they say.

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How We Rank AI Companies

Our proprietary algorithm analyzes real-time activity to rank companies by what they're actually doing, not what they're saying.

1

Event Collection

We monitor 212 verified sources including GitHub repositories, arXiv research papers, Reddit discussions, Hacker News, tech news sites, and product launches. Every 5 minutes, we scan for new activity.

2

Signal Processing

Our AI filters out marketing fluff, press release spam, and duplicate content. We focus on substantive events: code commits, research publications, product releases, and genuine community engagement.

3

Hype Detection

We compare marketing claims (blog posts, announcements) against actual technical activity (GitHub commits, research citations). Companies with high "Hype Gap" talk more than they ship.

4

Ranking Algorithm

Companies are scored using a weighted formula:

Score = (Activity × 0.5) + (Sentiment × 0.3) + (Reality × 0.2)
• Activity: Event count (7d, 30d weighted)
• Sentiment: Community perception & feedback
• Reality: Actual substance vs marketing hype
5

Real-Time Updates

Rankings refresh every 5 minutes. No human bias, no pay-for-ranking, no editorial interference. Pure algorithmic transparency.

Why trust our rankings? Unlike traditional lists compiled by journalists or based on funding rounds, our system is fully automated and measures real developer activity, research output, and community sentiment—the true signals of AI innovation.

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