OpenAI Launches Prism Scientific Research Workspace

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OpenAI Launches Prism Scientific Research Workspace

OpenAI released Prism, a free AI-enhanced word processor and research tool for scientific papers, available to anyone with a ChatGPT account. The program integrates deeply with GPT-5.2 to assess claims, revise prose, and search for prior research while supporting LaTeX formatting and visual diagram assembly. Executives compared the tool to coding interfaces like Cursor and Windsurf, positioning it to accelerate human-led scientific work rather than conduct autonomous research.

The launch follows growing AI use in academic research, including recent mathematical proofs of long-standing problems and a December statistics paper where GPT-5.2 Pro established new proofs with minimal human prompting. OpenAI reports ChatGPT receives an average of 8.4 million messages weekly on advanced hard science topics. (Source: OpenAI)

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6 Free AI Tools by Google That are Better than Paid Subscriptions

Google Labs has made six AI-powered tools available at no cost for content creation, learning, and app development.

• The suite includes Whisk for creating motion graphics from static images

• Flow for converting text prompts into videos

• Portraits for interactive learning with virtual experts.

• Additional tools include Pomelli for automated ad campaign design

• Mixboard for organizing ideas into presentations

• Notebook LM for AI-assisted research management. The tools use plain language interfaces that do not require technical expertise to operate.

These free offerings provide alternatives to paid software subscriptions for creative professionals, entrepreneurs, and businesses.

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AI & Tech News

Meta Projects Up to $135 Billion AI Spend

Meta reported fourth quarter earnings of $8.88 per share on revenue of $59.9 billion, exceeding analyst expectations. The company announced capital expenditure guidance of between $115 billion and $135 billion for 2026, up from $72.22 billion spent in 2025. Mark Zuckerberg stated he looks forward to advancing personal superintelligence for people around the world in 2026. This represents the largest single-year AI infrastructure commitment by any technology company to date. (Source: Yahoo Finance)

Tesla Invests $2 Billion in Musk's xAI

Tesla agreed to invest about $2 billion in Elon Musk's xAI artificial intelligence startup, according to the company's fourth quarter earnings. Tesla announced it will discontinue Model S and Model X vehicle programs to focus resources on autonomous vehicles and Optimus robots. The company will spend at least $20 billion on capital expenditures this year. The investment reflects deepening integration across Musk's various technology ventures. (Source: Bloomberg)

DeepMind Open-Sources AlphaGenome Medical Model

Google DeepMind released AlphaGenome as an open-source medical research model capable of analyzing DNA sequences with up to one million base pairs. The model comprises three modules based on different AI architectures, including a convolutional neural network and transformers. The release comes five years after DeepMind introduced AlphaFold, whose co-creators won half of the 2025 Nobel Prize in chemistry. Researchers will gain access to higher-resolution molecular property predictions for medical studies. (Source)

Chinese AI Firms Release Competing Models

Alibaba-backed Moonshot AI released an upgrade of its flagship Kimi model that can process text, images, and videos simultaneously from a single prompt. Alibaba announced its Qwen3-Max-Thinking generative AI model, which can create text, pictures, or video based on user commands. The releases came ahead of an expected new model from DeepSeek, which is expected within weeks. These developments intensify competition between Chinese and American AI companies. (Source: CNBC)

Hallucinated Citations Found in NeurIPS Papers

GPTZero analyzed over 4,000 research papers from NeurIPS 2025 and discovered more than 100 AI-hallucinated citations spanning at least 53 accepted papers. The fabrications included nonexistent authors, fake paper titles, fake journals, and URLs that lead nowhere. Each paper beat out more than 15,000 other submissions despite containing fabricated sources at a conference with a 24.52 percent acceptance rate. The findings raise concerns about AI tool misuse undermining scientific integrity. (Source: Fortune)

Decagon AI Reaches $4.5 Billion Valuation

Decagon announced $250 million in Series D funding led by Coatue Management and Index Ventures, tripling its valuation in six months to $4.5 billion. The company signed more than 100 new enterprise customers in 2025 across travel, hospitality, financial services, health, and retail. Decagon's AI concierge platform powers customer experiences for brands including Avis, Hertz, Chime, Affirm, and Oura Health. The funding reflects growing enterprise adoption of AI-powered customer service solutions. (Source: Yahoo Finance )

Tesla Begins Unsupervised Robotaxi Trials in Texas

Tesla began the first unsupervised autonomous trials in geofenced areas of Texas, marking a significant milestone in its vision-only Full Self-Driving approach. The company successfully launched a supervised autonomous ride-hailing pilot in Austin using modified Model Y units during 2025. Key stakeholders including institutional investors and NHTSA regulators are monitoring safety data to determine if 2026 production goals for the Cybercab remain realistic. The trials represent Tesla's clearest progress toward commercial autonomous vehicle deployment.

UK Partners with DeepMind on AI Research Lab

DSIT announced a new partnership with Google DeepMind to accelerate the use of AI across public services, education, and scientific research. Under a voluntary memorandum of understanding, DeepMind will open its first automated research lab in the UK in 2026, focusing on superconductor materials research using Gemini technology. UK scientists will gain priority access to DeepMind's leading AI tools, including AlphaGenome and AlphaFold. The collaboration also explores developing a Gemini for Government platform to automate civil service tasks. (Source: Deepmind)

Research Shows LLMs Have Fundamental Computational Limits

New research provides mathematical proof that large language models have fundamental limitations and are incapable of carrying out computational and agentic tasks beyond a certain complexity. The study adds to growing skepticism about LLM capabilities, joining previous research that concluded LLMs cannot actually reason despite appearing to do so. The findings have implications for companies investing heavily in AI capabilities and may influence research directions toward alternative architectures. The research was published in January 2026 and continues an ongoing debate about the true potential of current AI approaches. (Source: Humai )

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