News

Google Plans A Future Where Robots Think For Themselves

Google is helping robots better understand how to be helpful to humans, and the results are encouraging!

Published

4 years ago

August 19, 2022

google plans a future where robots think for themselves

Unknown to many of its fanbase, search giant Google has been developing its own semi-secret research laboratory for over a decade. The project is known as X Developments and focuses on exciting projects such as the recent Everyday Robots collaboration.

The project emphasizes the software side of robotics, aiming to make the technology helpful to humans by optimizing robots for tasks that include finding, fetching, and sorting items, as well as training bots to be awesome at ping-pong or catching racquetballs.

Google’s latest milestone is the “Pathways Language Model,” a software solution that gives the company’s robots a better understanding of the world, helping them respond more accurately and efficiently to human requests. So far, the robot workers at Google have been set to work on less-than-glamorous tasks such as trash sorting, with the aim that eventually, they will be able to take on tasks and teach themselves on the fly. Research into seemingly useless tasks like ping-pong might seem frivolous, but these operations require speed and precision, so they help engineers tune their robot sidekicks for future requirements.

google everyday robots throwing away trash

Google’s emphasis on robotic precision means that the company is unlikely to release a product for the general public any time soon. Their stance stands in sharp contrast to rival Amazon, which has already offered a product to market named Astro (albeit invite-only) — a $999 robot that seems to offer little more than basic Alexa functionality on wheels.

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“Google tries to be a company that provides access to information, helping people with tasks in their daily lives, you could imagine a ton of overlap between Google’s overarching mission and what we’re doing in terms of more concrete goals. I think we’re really at the level of providing capabilities, and trying to understand what capabilities we can provide,” says Vincent Vanhoucke, Google Research Robotics Lead.

Don’t expect to see a Google-themed robot appearing anytime soon, but keep an eye out for the latest developments from X Developments, as even the company’s homepage points to an exciting future for human / robot partnerships!

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

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“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.