ARTIFICIAL INTELLIGENCE
Artificial Intelligence (AI), a branch of computer science, is concerned with developing computers capable of doing tasks that would typically need human intelligence. Such tasks include learning from and adjusting to new facts or situations, reading human language, discovering patterns, problem-solving, and decision-making. AI is largely classified into two types: Narrow AI refers to systems designed to do a single job, such as facial recognition or web searches, within a set of limits. This category includes AI technology that we encounter in our daily lives, such as voice-activated assistants, recommendation engines, and picture recognition software. General AI: These systems can accomplish every cognitive activity that a person can. They are capable of comprehending, learning, adapting, and applying knowledge in a variety of contexts.
OpenAI Partners with DOE Lab to Cut Federal Permitting Time by 15%
OpenAI and Pacific Northwest National Laboratory launch DraftNEPABench, showing AI agents could save 1-5 hours per subsection on federal environmental reviews.
OpenAI GPT-5.2 Derives New Theoretical Physics Result in Landmark AI Discovery
GPT-5.2 Pro proposed a novel formula for gluon amplitudes that human physicists later verified, marking a first for AI-generated scientific discoveries.
Google Launches Gemini 3.1 Flash-Lite as GOOGL Climbs 4.3%
Google's new Gemini 3.1 Flash-Lite offers 2.5x faster processing at $0.25 per million tokens, intensifying AI price wars as GOOGL shares surge.
Google Gemini February Drop Adds AI Music Creation and Enhanced Reasoning
Google's February 2026 Gemini Drop introduces Lyria 3 music generation, Gemini 3.1 Pro with Deep Think reasoning, and Nano Banana 2 image model upgrades.
Harvey AI Shows 35% Productivity Gains as Legal Tech Firm Eyes $11B Valuation
Harvey AI case studies reveal 7-10 hours saved per lawyer weekly. Legal AI startup reportedly raising $200M at $11B valuation after hitting $190M ARR.
Anthropic Study Reveals AI Agents Run 45 Minutes Autonomously as Trust Builds
New Anthropic research shows Claude Code autonomy nearly doubled in 3 months, with experienced users granting more independence while maintaining oversight.
ElevenLabs Claims First AI Capable of Genuine Laughter
ElevenLabs unveils emotionally-aware speech synthesis trained on 500k+ hours of data, claiming breakthrough in context-aware AI voice generation.
Anthropic Ships Claude Sonnet 4.6 With 1M Token Context Window
Anthropic releases Claude Sonnet 4.6, delivering Opus-level AI performance at $3/$15 per million tokens with major computer use and coding improvements.
Google DeepMind Unveils Gemini Deep Think for Scientific Research
Google's Gemini Deep Think AI solved 18 research problems across math, physics, and computer science, including a decade-old conjecture that stumped experts.
Anthropic's Claude Opus 4.5 Launch Signals AI Arms Race Intensifying
Anthropic releases Claude Opus 4.5 with frontier coding and agent capabilities as company raises 2026 revenue forecast 20% amid major government partnerships.
Google Rolls Out Gemini 3 as Default for AI Search Globally
Google upgrades Search with Gemini 3 as the default AI model worldwide, enabling seamless transitions between AI Overviews and conversational AI Mode.
Harvey AI Details M&A Workflow Tools as Legal Tech Valuation Hits $8B
Harvey AI outlines eight practical M&A applications for its legal AI platform, with law firms reporting up to 75% time savings on due diligence workflows.
xAI Secures $20 Billion in Series E Funding, Surpassing Targets
xAI raises $20 billion in a Series E funding round, exceeding its initial target, with major investors like Valor Equity and NVIDIA. The funds will bolster AI advancements and infrastructure.
World Expands Global Human Verification in 2025
In 2025, World transformed its vision into reality, expanding its human verification network globally and advancing AI-driven technology for enhanced user engagement.
Exploring the Potential of AGI: Hardware and Software Synergy
Dan Fu from together.ai argues that artificial general intelligence (AGI) is achievable by optimizing software-hardware co-design, enhancing current chip utilization, and overcoming perceived hardware limitations.