Ai feed
The world’s top Ai news.
Live headlines from the labs and outlets shaping Ai — rewritten in the Yai editorial voice for factory operators. Browse by player, country or topic. Refreshes every 15 minutes; every card links back to the original source.
Wired AI51 min agoYai editAI in Hiring Creates 'Doom Loop' for Job Seekers
Job applicants are using AI to game the application process, but the strategy is proving ineffective for unexpected reasons. This highlights the need for genuine skills over AI-generated applications.
🇺🇸 USABusinessRead at Wired AI- 🕰 Timeline · Anthropic2026-06-24
Anthropic Claude 4 (Opus 4 · Sonnet 4): Major coding jump, longer autonomous tool use
Claude 4 delivered a major coding jump, longer autonomous tool use, and improved agent behavior. It is best used for multi-hour agent runs and complex codebases.
Anthropic🇺🇸 USAModelsRead on yaikh.com
QbitAI (量子位)1 hr agoYai editQ境科技 and 摩尔线程 Partner for Cost-Effective AI Token Production
Q境科技 and 摩尔线程 announce a strategic partnership to deliver high-quality AI token production with domestic hardware, claiming superior cost-effectiveness compared to international advanced computing. This could offer new options for factories seeking efficient AI infrastructure.
🇨🇳 ChinaHardwareBusinessRead at QbitAI (量子位)
QbitAI (量子位)1 hr agoYai editAstribot Releases SmoothRL for Asynchronous Robot Reinforcement Learning
Astribot's base model team introduces SmoothRL, an asynchronous online reinforcement learning framework designed to keep pace with large model inference in robotics. This advancement could lead to more responsive and efficient automation in manufacturing.
🇨🇳 ChinaAgentsResearchRead at QbitAI (量子位)- 🕰 Timeline · xAI2026-06-30
xAI Grok 3: Trained on the Colossus cluster; competitive on reasoning benchmarks
Grok 3 was trained on the Colossus cluster and is competitive on reasoning benchmarks. It is best used for reasoning tasks, though still tightly tied to the X ecosystem.
xAI🇺🇸 USAModelsRead on yaikh.com
QbitAI (量子位)1 hr agoYai editScienceDiscovery Achieves Rapid Scientific Discovery with Tree Search RSI
ScienceDiscovery utilizes tree search-driven RSI to accelerate scientific discovery, creating a universal integrator in hours and uncovering physical laws at low cost without model training or parameter tuning. This method could streamline R&D processes for new materials and production techniques.
🇨🇳 ChinaResearchRead at QbitAI (量子位)
QbitAI (量子位)3 hr agoYai editFinancial AI Annual Exam Features 20,000 Participants and Open-Source Data
The annual financial AI competition concludes with 20,000 participants from over 30 institutions, utilizing billions of data points. This event showcases the rapid evolution of AI applications in finance.
🇨🇳 ChinaBusinessRead at QbitAI (量子位)
QbitAI (量子位)3 hr agoYai editChinese Open-Source Model Precedes Li Feifei's Atlas by Six Months
A Chinese open-source model, focused on world modeling beyond pattern recognition, reportedly launched six months before Li Feifei's Atlas. This highlights China's rapid advancements in foundational AI research.
🇨🇳 ChinaModelsResearchRead at QbitAI (量子位)- 🕰 Timeline · Google2026-06-28
Google Gemini 1.5 Flash: Cheap, fast tier of the 1.5 family for high-volume workloads
Gemini 1.5 Flash is a cheap, fast tier within the 1.5 family, designed for high-volume workloads. It is best used for real-time applications, feed rewrites, and batch classification.
Google🇺🇸 USAModelsRead on yaikh.com
TechCrunch AI6 hr agoYai editAI-Generated Menus Suffer from 'Sameness Problem'
Generative AI used for restaurant menus often results in unappetizing and unoriginal offerings, as customers detect a lack of authenticity. This demonstrates the limitations of AI in creative applications requiring nuanced human appeal.
🇺🇸 USACreativeRead at TechCrunch AI
TechCrunch AI10 hr agoYai editCrusoe Reportedly Raises $3 Billion at $30 Billion Valuation
Data center developer Crusoe reportedly secures $3 billion in funding at a $30 billion valuation, following a $13 billion contract with Jane Street. This significant investment underscores the growing demand for AI infrastructure.
🇺🇸 USABusinessHardwareRead at TechCrunch AI
Wired AI12 hr agoYai editOpenAI, Anthropic, and xAI Experience Simultaneous Outages
ChatGPT, Claude, and Grok all suffered outages at nearly the same time, with the causes remaining unclear. This incident raises concerns about the reliability of major AI platforms.
OpenAIAnthropicxAI🇺🇸 USABusinessRead at Wired AI- 🕰 Timeline · DeepSeek2026-06-26
DeepSeek DeepSeek-V2: MoE architecture with striking cost efficiency
DeepSeek-V2 features an MoE architecture known for its striking cost efficiency. It is best used for high-volume inference tasks where cost is the primary concern.
DeepSeek🇨🇳 ChinaModelsRead on yaikh.com
Wired AI13 hr agoYai editPrediction Market Betting Leads to Bans and Arrests
Participation in prediction markets is resulting in users being banned and arrested, highlighting the legal and ethical complexities of these platforms. The story also touches on AI-powered police tools and discussions around 'rouge' AI agents.
🇺🇸 USARegulationSafetyRead at Wired AI
TechCrunch AI15 hr agoYai editAccel in Talks to Lead $1 Billion Round for Thinking Machines
Accel is reportedly negotiating to lead a $1 billion funding round for Thinking Machines, valuing the startup at $40 billion, with an annual revenue run rate exceeding $100 million. This indicates strong investor confidence in the AI sector.
🇺🇸 USABusinessRead at TechCrunch AI
TechCrunch AI16 hr agoYai editAbliteration.ai Builds Business on Removing AI Guardrails
Abliteration.ai is commercializing access to powerful AI models without guardrails, arguing that providing defenders with the same tools as malicious actors can improve cybersecurity. This raises important questions about AI safety and responsible development.
🇺🇸 USASafetyBusinessRead at TechCrunch AI- 🕰 Timeline · Alibaba2026-06-22
Alibaba Qwen 1: Alibaba's first open-weights Qwen models.
This release shipped Alibaba's first open-weights Qwen models. It is best for Chinese-language assistants and Alibaba Cloud deployments.
Alibaba🇨🇳 ChinaModelsRead on yaikh.com
TechCrunch AI16 hr agoYai editMeta Pays Users to Share Data for Muse Spark Model Development
Meta offers a significant discount for users of its new Muse Spark model, intended for coding and other agents, who contribute to future model development by sharing data. This approach aims to accelerate AI training through user participation.
Meta🇺🇸 USAModelsBusinessRead at TechCrunch AI
Wired AI16 hr agoYai editOpenAI's GPT-6 Astra Arrives, May Usher in AGI Era
OpenAI's next-generation model, GPT-6 Astra, excels at computer use and coding, with company leaders believing it could mark a major milestone towards Artificial General Intelligence. This advancement could significantly impact automation and factory operations.
OpenAI🇺🇸 USAModelsAgentsRead at Wired AI
Wired AI18 hr agoYai editOpenAI Ends Billion-Dollar Partnership to Avoid Elon Musk
OpenAI terminated its partnership with Cursor, a deal estimated to generate over $1 billion annually, after Elon Musk's SpaceX acquired the AI coding startup. This move highlights the complex competitive landscape among major AI players.
OpenAIxAICursor🇺🇸 USABusinessRead at Wired AI- 🕰 Timeline · Meta2026-06-23
Meta Llama 2: First openly licensed model competitive with GPT-3.5
Llama 2 was the first openly licensed model that was competitive with GPT-3.5. It is best used for self-hosted assistants and privacy-sensitive deployments.
Meta🇺🇸 USAModelsRead on yaikh.com - Google DeepMind19 hr agoYai edit
Google DeepMind Unveils WeatherNext 3, Advanced Global Weather AI Model
Google DeepMind introduces WeatherNext 3, its most advanced and accurate global weather AI model. Improved weather forecasting can benefit manufacturing supply chains and logistics.
Google🇬🇧 UK🇺🇸 USAModelsResearchRead at Google DeepMind - OpenAI21 hr agoYai edit
OpenAI Launches Daybreak for Frontline Defenders with $1 Billion Commitment
OpenAI commits $1 billion to Daybreak for Frontline Defenders, expanding access to frontier cyber AI, training, and support for essential services. This initiative aims to enhance cybersecurity for critical infrastructure.
OpenAI🇺🇸 USASafetyBusinessRead at OpenAI - OpenAI22 hr agoYai edit
Legora Reviews 41 Documents in Minutes with GPT-6 Astra
Legora utilized GPT-6 Astra to review 41 financial documents in minutes, identifying all errors and improving workflow performance by nearly 40%. This demonstrates the model's efficiency for document analysis, which could be applied to factory audits and compliance.
OpenAI🇺🇸 USAModelsBusinessRead at OpenAI - 🕰 Timeline · Anthropic2026-07-03
Anthropic Claude 1: Anthropic's first public model — long context, strong helpfulness training
Claude 1 was Anthropic's first public model, featuring long context and strong helpfulness training. It is best used for long-document summarisation and safe assistants.
Anthropic🇺🇸 USAModelsRead on yaikh.com - OpenAI22 hr agoYai edit
Playco Reduces Manual Fixes by 50% Prototyping Games with GPT-6 Astra
Playco used GPT-6 Astra to build three game prototypes from one foundation, reporting a 50% reduction in manual fixes compared to previous models. This showcases the model's capability to accelerate creative development and reduce iteration time.
OpenAI🇺🇸 USACreativeModelsRead at OpenAI - OpenAI1 day agoYai edit
OpenAI Releases Safety Overview for GPT-6 Astra
OpenAI provides a safety overview for GPT-6 Astra, its most capable broadly deployed model, noting it is the first to reach the Critical level of cybersecurity capability under their Preparedness Framework. This highlights the ongoing focus on AI safety and security.
OpenAI🇺🇸 USASafetyModelsRead at OpenAI - 🕰 Timeline · OpenAI2026-06-23
OpenAI GPT-1: Unsupervised pre-training + fine-tuning for NLP
This release proved out unsupervised pre-training with task-specific fine-tuning on NLP tasks. It is best used as a research foundation, showing that transformers scale, rather than for production.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-23
Anthropic Claude 5 (Fable · Sonnet): New family; Fable optimised for narrative and voice
Claude 5, a new family alongside Opus 4.7/4.8, includes Fable, which is optimized for narrative and voice. It is best used for creative writing, dialogue, and podcast production.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-28
Anthropic Claude Opus 4.8: Latest Opus tier; further improvements to reliability and tool use
Claude Opus 4.8 is the latest Opus tier, bringing further improvements to reliability and tool use. It is best used for frontier reasoning, long agentic runs, and judgment-heavy tasks.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-27
Anthropic Claude Opus 4.7: Sharper reasoning and steering; strong default for hard analytical work
Claude Opus 4.7 offers sharper reasoning and steering, making it a strong default for hard analytical work. It is best used for deep research, code architecture, and high-quality writing.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-25
Anthropic Claude 4.5 (Sonnet · Haiku): Sonnet 4.5 refines coding; Haiku 4.5 nears Sonnet 4 quality
Claude 4.5 Sonnet refines coding capabilities, while Haiku 4.5 approaches Sonnet 4 quality. It is best used for high-volume production requiring Sonnet-4 level intelligence at Haiku's cost.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-06-29
OpenAI GPT-5: OpenAI's frontier tier; higher reliability plus stronger tool use
GPT-5 represents OpenAI's frontier tier, offering higher reliability and stronger tool use. It is best used for agentic workflows, long tool chains, and high-stakes decision support.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · xAI2026-06-30
xAI Grok 4: Latest tier; positioned as a general-purpose frontier competitor
Grok 4 is the latest tier, positioned as a general-purpose frontier competitor. It is best used for Grok API workloads and X-embedded products.
xAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Google2026-07-02
Google Gemini 2.5 (Flash · Pro): Thinking modes and improved coding; strong price/performance
Gemini 2.5 (Flash · Pro) introduced thinking modes and improved coding, offering strong price/performance. It is best used for production LLM backends, translation, and batch content pipelines.
Google🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Alibaba2026-07-03
Alibaba Qwen 3: Frontier tier with strong multilingual coverage.
This release shipped a frontier tier with strong multilingual coverage. It is best for any deployment where Chinese-language quality matters.
Alibaba🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · Meta2026-07-03
Meta Llama 4: Native multimodal and long context, still open weights
Llama 4 shipped with native multimodal and long context capabilities, while remaining open weights. It is best used for multimodal applications where end-to-end ownership is critical.
Meta🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-24
Anthropic Claude 3.7 Sonnet: Extended thinking mode; toggleable deliberation for hard problems
Claude 3.7 Sonnet shipped with an extended thinking mode, offering toggleable deliberation for hard problems. It is best used for adaptive workloads, providing quick responses for easy tasks and deep analysis for complex ones.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · DeepSeek2026-06-30
DeepSeek DeepSeek-R1: Open-weights reasoning model that rattled Silicon Valley.
This release shipped an open-weights reasoning model that rattled Silicon Valley. It is best for math, code, and reasoning tasks with self-hosted control.
DeepSeek🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · Google2026-06-26
Google Gemini 2.0: Native agentic tool use and stronger multi-step reasoning
Gemini 2.0 shipped with native agentic tool use and stronger multi-step reasoning capabilities. It is best used for agentic browser tasks and Workspace copilots.
Google🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · DeepSeek2026-06-27
DeepSeek DeepSeek-V3: Frontier-class quality trained at a fraction of Western costs.
This release shipped frontier-class quality trained at a fraction of Western costs. It is best for cost-sensitive assistants and as a reference for efficient training.
DeepSeek🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · Alibaba2026-06-21
Alibaba Qwen 2.5 (+ Coder, Math): Family expansion with specialist coding and math variants.
This release shipped a family expansion with specialist coding and math variants. It is best for coding copilots, math tutors, and structured extraction.
Alibaba🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-06-28
OpenAI o1 (reasoning): Chain-of-thought at the model level; trades latency for correctness
o1 (reasoning) shipped with chain-of-thought at the model level, trading latency for correctness. It is best used for math, hard coding, and formal reasoning, especially when waiting for an accurate answer is acceptable.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · xAI2026-06-29
xAI Grok 2: Bigger jump in reasoning; image generation via Flux
Grok 2 delivered a bigger jump in reasoning capabilities and introduced image generation via Flux. It is best used for multimodal X integrations.
xAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Meta2026-07-01
Meta Llama 3.1 (405B): First truly frontier-class open-weights model
Llama 3.1 (405B) was the first truly frontier-class open-weights model. It is best used for serious open-weight research and in regulated industries.
Meta🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Mistral2026-07-03
Mistral Mistral Large 2 / Nemo: Updated frontier tier plus a compact multilingual model
Mistral Large 2 / Nemo includes an updated frontier tier and a compact multilingual model. It is best used for multilingual production LLMs on European infrastructure.
Mistral🇫🇷 FranceModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-07-01
Anthropic Claude 3.5 Sonnet: Beat Claude 3 Opus on coding at Sonnet cost; the workhorse era
Claude 3.5 Sonnet surpassed Claude 3 Opus in coding performance at a Sonnet-level cost, ushering in the workhorse era. It is best used for production coding assistants and agent backbones.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Alibaba2026-06-25
Alibaba Qwen 2: Substantial quality jump; competitive with Llama 3 tier.
This release shipped a substantial quality jump, competitive with the Llama 3 tier. It is best for fine-tuning bases for enterprise Chinese/English apps.
Alibaba🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-06-28
OpenAI GPT-4o: Native multimodal (text, vision, audio) with real-time voice
GPT-4o shipped with native multimodal capabilities across text, vision, and audio, including real-time voice. It is best used for voice interfaces, live translation, and mixed-media assistants.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Mistral2026-06-23
Mistral Codestral: Code-specialised model for autocomplete and refactor
Codestral is a code-specialized model designed for autocomplete and refactoring. It is best used for IDE assistants and self-hosted coding copilots.
Mistral🇫🇷 FranceModelsRead on yaikh.com - 🕰 Timeline · Meta2026-06-22
Meta Llama 3: 8B and 70B tiers; approaches GPT-4 quality at self-hosted cost
Llama 3 shipped in 8B and 70B tiers, approaching GPT-4 quality at a self-hosted cost. It is best used for on-premise enterprise LLMs and as a base for fine-tuning.
Meta🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-28
Anthropic Claude 3 (Haiku · Sonnet · Opus): Three tiers for different needs
Claude 3 shipped in three tiers: Haiku for speed and low cost, Sonnet for balance, and Opus for the hardest tasks. It is best used when you need to pick a specific point on the cost/quality curve.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Alibaba2026-06-22
Alibaba Qwen 1.5: Multi-tier lineup from 0.5B to 72B, all open weights.
This release shipped a multi-tier lineup from 0.5B to 72B, all open weights. It is best for multilingual production LLMs, especially APAC.
Alibaba🇨🇳 ChinaModelsRead on yaikh.com - 🕰 Timeline · Google2026-06-24
Google Gemini 1.5 Pro: 1M-token context — the long-context breakthrough
Gemini 1.5 Pro shipped with a 1M-token context, marking a significant breakthrough in long-context processing. It is best used for feeding entire books, hours of video, or full codebases in a single prompt.
Google🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Mistral2026-06-26
Mistral Mistral Large: Closed frontier tier; European sovereignty pitch
Mistral Large is a closed frontier tier model, emphasizing a European sovereignty pitch. It is best used for EU-based enterprises with specific data-residency needs.
Mistral🇫🇷 FranceModelsRead on yaikh.com - 🕰 Timeline · Google2026-06-26
Google Gemini 1.0: Google's native multimodal frontier; Ultra, Pro, Nano tiers
Gemini 1.0 was Google's native multimodal frontier model, available in Ultra, Pro, and Nano tiers. It is best used for multimodal reasoning within the Google ecosystem.
Google🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Mistral2026-06-26
Mistral Mixtral 8x7B: Mixture-of-experts open weights; strong quality for the price
Mixtral 8x7B is a mixture-of-experts open-weights model, offering strong quality for its price. It is best used for self-hosted assistants requiring GPT-3.5-class quality.
Mistral🇫🇷 FranceModelsRead on yaikh.com - 🕰 Timeline · xAI2026-06-25
xAI Grok 1: Elon Musk's first release; snarky persona, integrated with X
Grok 1 was Elon Musk's first release, featuring a snarky persona and integration with X. It is best used for X-native content and personality-driven chat interactions.
xAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-28
Anthropic Claude 2.1: 200K-token context; the first model that ate whole codebases in one shot
Claude 2.1 shipped with a 200K-token context, making it the first model capable of processing entire codebases in one go. It is best used for whole-repo code review and long-document Q&A.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Mistral2026-06-25
Mistral Mistral 7B: Open-weights 7B model that punched above its size
Mistral 7B was an open-weights 7B model that performed remarkably well for its size. It is best used for edge, laptop, and cost-constrained inference scenarios.
Mistral🇫🇷 FranceModelsRead on yaikh.com - 🕰 Timeline · Anthropic2026-06-27
Anthropic Claude 2: 100K-token context and stronger coding; the enterprise breakout
Claude 2 shipped with a 100K-token context and stronger coding abilities, marking its enterprise breakout. It is best used for legal, research, and analyst workflows involving long documents.
Anthropic🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-07-02
OpenAI GPT-4: First reliably 'smart' GPT — better reasoning, longer context, plus vision
GPT-4 was the first reliably 'smart' GPT, featuring better reasoning, longer context, and vision capabilities. It is best used for serious knowledge work, including analysis, coding, and structured extraction.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Google2026-07-01
Google Bard: Google's first ChatGPT response, initially built on LaMDA/PaLM
Bard was Google's initial response to ChatGPT, built on LaMDA/PaLM. It is best used for historical reference, as it was quickly superseded by Gemini.
Google🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · Meta2026-07-01
Meta LLaMA 1: Meta's first Llama — 'leaked' onto the open internet, changed everything
LLaMA 1 was Meta's first Llama model, which 'leaked' onto the open internet and fundamentally changed the Ai landscape. It is best used for kicking off the open-weights ecosystem.
Meta🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-07-03
OpenAI GPT-3.5: Powers the original ChatGPT free tier — fast, cheap, conversational
GPT-3.5 powered the original ChatGPT free tier, offering fast, cheap, and conversational capabilities. It is best used for chat assistants, drafts, and summaries where cost is prioritized over depth.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-06-26
OpenAI GPT-3: 175B parameters; few-shot learning shocks the field
GPT-3, with 175 billion parameters, introduced few-shot learning that significantly impacted the field. It is best used for prompt-engineering-driven products, marking the era of 'just ask nicely'.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 🕰 Timeline · OpenAI2026-07-03
OpenAI GPT-2: 1.5B parameters, coherent long-form text, weights briefly withheld
GPT-2 shipped with 1.5 billion parameters, generating coherent long-form text, with OpenAI briefly withholding its weights. It is best used for long-form generation demos and sparked the first serious debates about Ai's potential dangers.
OpenAI🇺🇸 USAModelsRead on yaikh.com - 📚 Yai History · EP12026-07-05
Can a Machine Think? Turing's Question That Started It All
In 1950, Alan Turing asked if machines could think, proposing the Imitation Game to define intelligence by behavior. His foundational framing still shapes every debate about Ai's true intelligence today.
HistoryRead on yaikh.com - 📚 Yai History · EP22026-07-04
Dartmouth Workshop: The Moment 'Artificial Intelligence' Was Coined
The 1956 Dartmouth workshop, led by John McCarthy, named the field 'Artificial Intelligence.' This early optimism, however, also set the stage for the first Ai winter two decades later.
HistoryRead on yaikh.com - 📚 Yai History · EP32026-07-03
The Perceptron: Ai's First Learning Machine and Its Early Setback
Frank Rosenblatt's 1958 Perceptron was the first hardware neural net, but Minsky and Papert's 1969 critique halted neural network research for 15 years. This early crash shows why Ai's progress has often been stop-start rather than continuous.
HistoryRead on yaikh.com - 📚 Yai History · EP42026-07-02
Expert Systems: Ai's First Commercial Wave Powered by Hand-Written Rules
The 1970s and 80s saw expert systems like DENDRAL and MYCIN achieve narrow success, marking Ai's first commercial boom. Their inability to generalize beyond specific rules ultimately led to the second Ai winter.
HistoryRead on yaikh.com - 📚 Yai History · EP52026-07-01
The Ai Winters: How Funding Crashes Reshaped the Field
Two major funding collapses in the 70s and late 80s made 'Artificial Intelligence' a career-limiting term. These winters shaped how researchers approach ambition, making caution around 'AGI' a lasting legacy.
HistoryRead on yaikh.com - 📚 Yai History · EP62026-06-30
The Statistical Turn: When Machine Learning Overtook Symbolic Ai
The 1990s and 2000s saw statistical methods like SVMs and random forests dominate practical Ai applications. Techniques from this era still power a significant portion of production Ai and competitive machine learning today.
HistoryRead on yaikh.com - 📚 Yai History · EP72026-06-29
AlexNet Wins ImageNet: The Dawn of Deep Learning in 2012
In 2012, AlexNet dramatically reduced the ImageNet error rate using GPUs, signaling the arrival of deep learning. This event is the single most repeated inflection point in modern Ai, tracing back to every major Ai valuation today.
HistoryRead on yaikh.com - 📚 Yai History · EP82026-06-28
Attention Is All You Need: The Transformer Paper That Changed Everything
Google Brain's 2017 Transformer paper introduced the architecture behind every modern Large Language Model. It is the closest thing the Ai field has to a moon-landing moment, fundamentally reshaping how models are built.
HistoryRead on yaikh.com - 📚 Yai History · EP92026-06-27
The GPT Era Begins: Scaling Laws and Unexpected Capabilities
From 2018 to 2020, OpenAI's GPT series demonstrated the power of unsupervised pre-training and scaling laws. This era established the paradigm that making models larger often leads to surprising new capabilities.
HistoryRead on yaikh.com - 📚 Yai History · EP102026-06-26
ChatGPT: Ai's iPhone Moment in 2022
ChatGPT's launch in November 2022 made Ai accessible to millions, becoming the fastest-growing consumer product in history. This moment transformed Ai from a research topic into a critical boardroom discussion, leading to the creation of the Yai Ai feed.
HistoryRead on yaikh.com - 📚 Yai History · EP112026-06-25
Multi-Modal, Agentic, and Open: Ai Gets Loud From 2023
From 2023, Ai expanded into multi-modal capabilities, agentic tool use, and open-weight models like Llama. These advancements mean Ai is now something you deploy for practical tasks, making factory-floor use cases realistic.
HistoryRead on yaikh.com - 📚 Yai History · EP122026-06-24
The Frontier Today: Claude 5, GPT-5, Gemini 2.5
Today's state-of-the-art models, including Claude 5, GPT-5, and Gemini 2.5, represent the pinnacle of current Ai capabilities. Understanding this lineage helps you grasp the foundation of every model in your current Ai stack.
HistoryRead on yaikh.com
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