Latest AI News
Adaption aims big with AutoScientist, an AI tool that helps models train themselves
For years, AI researchers have anticipated the moment when AI systems will be able to improve themselves better than humans could. With investors pouring money into a new generation of research-driven AI labs, there are more resources than ever available to pursue the goal. Now, one of those neolabs has taken a major step towards making it real. On Wednesday,Adaptionintroduced a new product calledAutoScientistthat helps models learn specific capabilities quickly by using an automated approach to conventional fine-tuning. The techniques are applicable to a wide range of fields, but the Adaptation team is particularly focused on the potential for speeding up and easing the process of training and fine-tuning a frontier-level AI model. According to co-founder and CEO Sara Hooker, who previously worked as VP of AI research at Cohere, AutoScientist represents a new way to approach the AI training process. “What’s super exciting about it is that it co-optimizes both the data and the model, and learns the best way to basically learn any capability,” Hooker told TechCrunch. “It suggests we can finally allow for successful frontier AI trainings outside of these labs” AutoScientist builds on the company’s existing data offering,Adaptive Data, which aims to make it easier to build high-quality datasets over time. AutoScientist, meanwhile, is designed to turn those continuously improving datasets into continuously improving AI models. “Our view at Adaption is that the whole stack should be completely adaptable, and should basically optimize on the fly to whatever task you have,” Hooker says. Of course, that approach will only be as good as the results. In its launch materials, Adaption boasts that AutoScientist has more than doubled win-rates across different models — impressive numbers, but difficult to put into context. Since the system is built to adapt models to specific tasks, conventional benchmarks like SWE-Bench or ARC-AGI aren’t applicable. Still, Adaption is confident that users will see the difference once they try AutoScientist out — so confident that the lab is making the tool free to use for the first 30 days after its release. “The same way that code generation unlocked a lot of tasks, this is going to unlock a lot of innovation at the frontier of different fields,” Hooker says.
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Zoho Commits ₹70 Crore to ONDC to Empower MSMEs with Accessible Sovereign Tech
With this investment, Zoho seeks to support MSMEs in their digital transformation and contribute to India's economic growth.
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Proximal Cloud, NxtGen Partner to Enable Sovereign AI Deployments in India
The partnership targets regulated sectors with compliant, private AI infrastructure and local data control.
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AIM Launches ‘Best Firm for GCC Talent’ Certification
The new certification programme focuses on culture, learning, and retention across India’s various Global Capability Centres.
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AI Can Add $500 Bn to India’s Economy by 2030: IBM-IndiaAI Study
The report highlighted a widening gap between India’s AI ambitions and enterprise readiness.
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‘The World Needs 1000x More Software,’ Says Fractal CEO
Fractal is steadily shifting toward more AI-native commercial models tied to outcomes and platform usage.
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Wealthtech Startup ZFunds Launches AI Assistant ‘ZIVA’ for Mutual Fund Managers
The platform offers mock client calls, portfolio insights, and multilingual AI support for MFD workflows.
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Google Threat Intelligence Group Detects First Known Instance of AI-Developed Zero-Day Exploit in Action
Google Threat Intelligence Group (GTIG) shared a series of developments in the cybercrime space on Tuesday. The group highlighted that, currently, artificial intelligence (AI) is being used both as an engine for adversary operations and as a high-value target for attacks. The most concerning development is the first known instance where a threat actor used an AI-developed zero-day exploit. While the attack was foiled by the tech giant, this raises fresh concerns over AI bolstering hackers and threat actors.
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SAP Expands AI Stack with Anthropic, Palantir in Agentic Enterprise Push
“For the mission-critical processes of our customers, ‘almost right’ just isn’t good enough,” said Christian Klein, CEO of SAP.
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India Deploys AI Push to Detect Mule Accounts, Cyber Financial Fraud
The collaboration between I4C and RBIH aims to improve the sharing of fraud risk intelligence and enhance the resilience of India’s digital payments ecosystem.
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India Launches AI-Powered Tools to Improve Monsoon, Rainfall Forecasting
Two AI-enabled weather forecasting systems will provide hyperlocal predictions of monsoon progression and rainfall.
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NetApp & Red Hat Partner to Strengthen Data Protection for OpenShift Virtualization
The partnership introduces new NetApp tools optimised for Red Hat OpenShift Virtualization, helping enterprises protect and scale AI-driven workloads across hybrid and multicloud environments.
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