Author: Advanced AI Editor
FILE PHOTO: IBM is reportedly laying off thousands of U.S. employees and moving them to India. | Photo Credit: Reuters IBM is reportedly laying off thousands of U.S. employees and moving them to India. A report by The Register has stated that it spoke to employees who were asked to train Indian employees on their job role after being told they would soon have to leave. According to the outlet, IBM has also listed 173 open positions since January this year with 2,946 openings available since November last year. Some of the employees who were laid off and asked for an internal transfer were…
NEW YORK — The New York Yankees’ bats were the story of the team’s franchise-record nine-home run day against the Milwaukee Brewers on Saturday. Then came the discussion about the actual bats used by some players in the 20-9 win.The uniquely shaped lumber is the result of two years of research and experimentation with a former Massachusetts Institute of Technology physicist-turned-coach at the helm.The question at its center?“Where are you trying to hit the ball?” Aaron Leanhardt said in a phone interview Sunday morning. “Where are you trying to make contact?”Leanhardt, 48, began his work when he was a member…
Shares in Couchbase Inc. rose in late trading today despite the database company reporting mixed results in its fiscal 2025 fourth quarter and falling short on revenue outlook for the year ahead. For the quarter that ended on Jan. 31, Couchbase reported an adjusted net loss per share of 30 cents, down from a loss of 44 cents in the same quarter of the previous year, on revenue of $54.9 million, up 10% year-over-year. The earnings per share loss was significantly larger than the loss of eight cents per share expected by analysts, but Couchbase’s revenue was ahead of an…
ChatGPT Fast FactsWhat is ChatGPT? A generative AI that can answer questions in natural-sounding language.Who developed ChatGPT? OpenAI, Inc.Pricing:ChatGPT has a free tier.ChatGPT Plus costs $20/month.ChatGPT Teams, which is the business subscription for at least two people, costs $25/month.ChatGPT Pro, with unlimited access to OpenAI’s most powerful “reasoning” model, costs $200/month. The business world has embraced ChatGPT over the last year and found uses for the writing and image generation AI throughout many industries. This cheat sheet includes answers to the most common questions about ChatGPT and its competitors. What is ChatGPT? ChatGPT is an AI chatbot product developed by…
OpenAI is reportedly nearing a massive $40 billion funding round led by Japan’s SoftBank Group, according to Bloomberg. The investment could make SoftBank the largest backer of the ChatGPT creator after Microsoft. The round also includes participation from Magnetar Capital, Coatue Management, and Altimeter Capital. Bloomberg noted SoftBank may contribute up to $25 billion, reflecting CEO Masayoshi Son’s bold strategy to dominate the artificial intelligence landscape. This comes on the heels of a $500 billion joint initiative between SoftBank and OpenAI—dubbed Project Stargate—aimed at building expansive AI infrastructure in the U.S., including data centers to boost OpenAI’s computing capabilities. Increased…
We mined the CB Insights database to map 170+ AI agent startups across 26 categories. We also provide an outlook on AI agents’ progress, limitations, and future directions. “Digital coworkers” are moving from concept to reality. While AI copilots have already made inroads across industries, the next evolution — autonomous agents with greater decision-making scope — is arriving quickly. AI agent startups raised $3.8B in 2024 (nearly tripling 2023’s total), and every big tech player is already developing AI agents or offering the tooling for them. Implications for enterprises will be far-reaching, from altering workforce composition (with new hybrid teams…
Artificial intelligence infrastructure provider Nexthop AI raised a massive $110 million round led by Lightspeed Venture Partners. The fresh round also included participation from Kleiner Perkins, WestBridge Capital, Battery Ventures and Emergent Ventures. Nexthop AI builds custom networking solutions for the hyperscalers, including networking hardware designed to each customer’s specifications and a choice of a network operating system with the company’s own AI. “Hyperscalers need the ecosystem to innovate with them to accelerate their infrastructure deployments,” said CEO Anshul Sadana. “Nexthop AI is a force-multiplier, as it partners with and works as an extension of the cloud companies’ engineering teams.…
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Anthropic has developed a new method for peering inside large language models (LLMs) like Claude, revealing for the first time how these AI systems process information and make decisions. The research, published today in two papers (available here and here), shows these models are more sophisticated than previously understood — they plan ahead when writing poetry, use the same internal blueprint to interpret ideas regardless of language, and sometimes even work backward from a desired outcome instead of simply building up…
ChatGPT, OpenAI’s text-generating AI chatbot, has taken the world by storm since its launch in November 2022. What started as a tool to supercharge productivity through writing essays and code with short text prompts has evolved into a behemoth with 300 million weekly active users. 2024 was a big year for OpenAI, from its partnership with Apple for its generative AI offering, Apple Intelligence, the release of GPT-4o with voice capabilities, and the highly-anticipated launch of its text-to-video model Sora. OpenAI also faced its share of internal drama, including the notable exits of high-level execs like co-founder and longtime chief…
How can one best use extra FLOPS at test time? Paper: Abstract: Enabling LLMs to improve their outputs by using more test-time computation is a critical step towards building generally self-improving agents that can operate on open-ended natural language. In this paper, we study the scaling of inference-time computation in LLMs, with a focus on answering the question: if an LLM is allowed to use a fixed but non-trivial amount of inference-time compute, how much can it improve its performance on a challenging prompt? Answering this question has implications not only on the achievable performance of LLMs, but also on…