@Google DeepMind Blog
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Google DeepMind has introduced AlphaEvolve, a revolutionary AI coding agent designed to autonomously discover innovative algorithms and scientific solutions. This groundbreaking research, detailed in the paper "AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery," represents a significant step towards achieving Artificial General Intelligence (AGI) and potentially even Artificial Superintelligence (ASI). AlphaEvolve distinguishes itself through its evolutionary approach, where it autonomously generates, evaluates, and refines code across generations, rather than relying on static fine-tuning or human-labeled datasets. AlphaEvolve combines Google’s Gemini Flash, Gemini Pro, and automated evaluation metrics.
AlphaEvolve operates using an evolutionary pipeline powered by large language models (LLMs). This pipeline doesn't just generate outputs—it mutates, evaluates, selects, and improves code across generations. The system begins with an initial program and iteratively refines it by introducing carefully structured changes. These changes take the form of LLM-generated diffs—code modifications suggested by a language model based on prior examples and explicit instructions. A diff in software engineering refers to the difference between two versions of a file, typically highlighting lines to be removed or replaced.
Google's AlphaEvolve is not merely another code generator, but a system that generates and evolves code, allowing it to discover new algorithms. This innovation has already demonstrated its potential by shattering a 56-year-old record in matrix multiplication, a core component of many machine learning workloads. Additionally, AlphaEvolve has reclaimed 0.7% of compute capacity across Google's global data centers, showcasing its efficiency and cost-effectiveness. AlphaEvolve imagined as a genetic algorithm coupled to a large language model.
Recommended read:
References :
- LearnAI: Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
- The Next Web: Article on The Next Web describing feats of DeepMind’s AI coding agent AlphaEvolve.
- Towards Data Science: A blend of LLMs' creative generation capabilities with genetic algorithms
- www.unite.ai: Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and scientific solutions. Presented in the paper titled “AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery,†this research represents a foundational step toward Artificial General Intelligence (AGI) and even Artificial Superintelligence (ASI).
- learn.aisingapore.org: AlphaEvolve imagined as a genetic algorithm coupled to a large language model. Models have undeniably revolutionized how many of us approach coding, but they’re often more like a super-powered intern than a seasoned architect.
- AI News | VentureBeat: Google's AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson in production-grade agent engineering. Discover its architecture & essential takeaways for your enterprise AI strategy.
- Unite.AI: Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and scientific solutions.
- Last Week in AI: DeepMind introduced Alpha Evolve, a new coding agent designed for scientific and algorithmic discovery, showing improvements in automated code generation and efficiency.
- venturebeat.com: VentureBeat article about Google DeepMind's AlphaEvolve system.
@Google DeepMind Blog
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Google DeepMind is intensifying its focus on AI governance and security as it ventures further into artificial general intelligence (AGI). The company is exploring AI monitors to regulate hyperintelligent AI models, splitting potential threats into four categories, with the creation of a "monitor" AI being one proposed solution. This proactive approach includes prioritizing technical safety, conducting thorough risk assessments, and fostering collaboration within the broader AI community to navigate the development of AGI responsibly.
DeepMind's reported clampdown on sharing research will stifle AI innovation, warns the CEO of Iris.ai, one of Europe’s leading startups in the space, Anita Schjøll Abildgaard. Concerns are rising within the AI community that DeepMind's new research restrictions threaten AI innovation. The CEO of Iris.ai, a Norwegian startup developing an AI-powered engine for science, warns the drawbacks will far outweigh the benefits. She fears DeepMind's restrictions will hinder technological advances.
Recommended read:
References :
- Google DeepMind Blog: We’re exploring the frontiers of AGI, prioritizing technical safety, proactive risk assessment, and collaboration with the AI community.
- The Next Web: Google DeepMind’s reported clampdown on sharing research will stifle AI innovation, warns the CEO of Iris.ai, one of Europe’s leading startups in the space.
- www.techrepublic.com: DeepMind’s approach to AGI safety and security splits threats into four categories. One solution could be a “monitor†AI.
- AI Alignment Forum: DeepMind: An Approach to Technical AGI Safety and Security
Ryan Daws@AI News
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OpenAI has secured a monumental $40 billion funding round, spearheaded by SoftBank, elevating the company's valuation to $300 billion. This substantial financial backing marks one of the most significant capital infusions in the tech industry, underscoring the robust investor confidence in OpenAI's vision and strategic direction. The funding is expected to fuel expanded research and development efforts, upgrades to computational infrastructure, and the accelerated rollout of next-generation AI models. This investment also solidifies OpenAI's position as the world’s second-most valuable private company, trailing only Elon Musk’s SpaceX Corp.
As part of this major announcement, OpenAI revealed plans to release its first "open-weight" language model since 2019. This move signifies a dramatic strategic shift for the company, which has largely built its business on proprietary AI systems. OpenAI CEO Sam Altman confirmed the development on X, stating that the new model would have enhanced reasoning capabilities and be made available in the coming months. This decision comes amid increasing pressure from competitors in the open-source AI space and is driven by the evolving economics of the AI landscape.
Recommended read:
References :
- Fello AI: OpenAI has closed a $40 billion funding round, boosting its valuation to $300 billion. The deal, led by SoftBank, is one of the largest capital infusions in the tech industry and marks a significant milestone for the company.
- SiliconANGLE: OpenAI bags $40B in funding, increasing its post-money valuation to $300B
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- THE DECODER: SoftBank and OpenAI announced a major partnership on Monday that includes billions in annual spending and a new joint venture focused on the Japanese market.
- venturebeat.com: OpenAI announced plans to release its first “open-weight” language model since 2019, marking a dramatic strategic shift for the company that built its business on proprietary AI systems.
- www.techrepublic.com: Find out how to provide OpenAI with your input about its upcoming open language model, which Sam Altman stated will be a "reasoning" model like OpenAI o1.
- AI News | VentureBeat: $40B into the furnace: As OpenAI adds a million users an hour, the race for enterprise AI dominance hits a new gear
- www.theguardian.com: OpenAI raises up to $40bn in record-breaking deal with SoftBank
- Pivot to AI: OpenAI signs its $40 billion deal with SoftBank! Or maybe $30 billion, probably
- THE DECODER: OpenAI plans GPT-5 release in "a few months," shifts strategy on reasoning models
- AI News: Study claims OpenAI trains AI models on copyrighted data
- Charlie Fink: OpenAI Raises $40 Billion, Runway AI Video $380 Million, Amazon, Oracle, TikTok Suitors Await Decision
Ryan Daws@AI News
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OpenAI is set to release its first open-weight language model since 2019, marking a strategic shift for the company. This move comes amidst growing competition in the AI landscape, with rivals like DeepSeek and Meta already offering open-source alternatives. Sam Altman, OpenAI's CEO, announced the upcoming model will feature reasoning capabilities and allow developers to run it on their own hardware, departing from OpenAI's traditional cloud-based approach.
This decision follows OpenAI securing a $40 billion funding round, although reports suggest a potential breakdown of $30 billion from SoftBank and $10 billion from Microsoft and venture capital funds. Despite the fresh funding, OpenAI also faces scrutiny over its training data. A recent study by the AI Disclosures Project suggests that OpenAI's GPT-4o model demonstrates "strong recognition" of copyrighted data, potentially accessed without consent. This raises ethical questions about the sources used to train OpenAI's large language models.
Recommended read:
References :
- Fello AI: OpenAI Secures Historic $40 Billion Funding Round
- AI News | VentureBeat: $40B into the furnace: As OpenAI adds a million users an hour, the race for enterprise AI dominance hits a new gear
- InnovationAus.com: OpenAI has closed a significant $40 billion funding round, led by SoftBank Group, pushing its valuation to $300 billion.
- Maginative: OpenAI Secures Record $40 Billion in Funding, Reaching $300 Billion Valuation
- www.theguardian.com: OpenAI said it had raised $40bn in a funding round that valued the ChatGPT maker at $300bn – the biggest capital-raising session ever for a startup.
- The Verge: OpenAI just raised another $40 billion round led by SoftBank
- SiliconANGLE: OpenAI bags $40B in funding, increasing its post-money valuation to $300B
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- THE DECODER: OpenAI nears completion of multi-billion dollar funding round
- Kyle Wiggers ?: OpenAI raises $40B at $300B post-money valuation
- THE DECODER: Softbank leads OpenAI's $40 billion funding round
- Verdict: OpenAI has secured a $40 billion funding round, marking the biggest capital raising ever for a startup, with a $300 billion valuation. The deal is led by SoftBank and backed by leading investors.
- Crunchbase News: OpenAI secured $40 billion in funding in a record-breaking round led by SoftBank, valuing the company at $300 billion.
- bsky.app: OpenAI has raised $40 billion at a $300 billion valuation. For context, Boeing has a $128 billion market cap, Disney has a $178 billion market cap, and Chevron has a $295 billion market cap.
- Pivot to AI: OpenAI signs its $40 billion deal with SoftBank! Or maybe $30 billion, probably
- TechInformed: OpenAI has raised more than $40 billion in a fundraise with Japanese telco SoftBank and other investors, valuing the ChatGPT company at more than $300bn.… The post appeared first on .
- CyberInsider: OpenSNP to Shut Down and Delete All User-Submitted DNA Data
- www.techrepublic.com: OpenAI Secures $40B in Historic Funding Round — But There’s a $10B Catch
- techstrong.ai: OpenAI has secured up to $40 billion in a record new funding round led by SoftBank Group that would give the artificial intelligence (AI) pioneer a whopping $300 billion valuation as it ramps up AI research, infrastructure and tools.
- SiliconANGLE: OpenAI to launch its first ‘open-weights’ model since 2019
- venturebeat.com: OpenAI to release open-source model as AI economics force strategic shift
- AI News: Study claims OpenAI trains AI models on copyrighted data
- Charlie Fink: OpenAI raises $40 billion, Runway’s $380 million raise and its stunning Gen-4 AI model, Anthropic warns AI may lie, plus vibe filmmaking with DeepMind.
- thezvi.wordpress.com: Greetings from Costa Rica! The image fun continues. We Are Going to Need A Bigger Compute Budget Fun is being had by all, now that OpenAI has dropped its rule about not mimicking existing art styles.
Michael Nuñez@AI News | VentureBeat
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OpenAI, the company behind ChatGPT, has announced a significant strategic shift by planning to release its first open-weight AI model since 2019. This move comes amidst mounting economic pressures from competitors like DeepSeek and Meta, whose open-source models are increasingly gaining traction. CEO Sam Altman revealed the plans on X, stating that the new model will have reasoning capabilities and allow developers to run it on their own hardware, departing from OpenAI's cloud-based subscription model.
This decision marks a notable change for OpenAI, which has historically defended closed, proprietary models. The company is now looking to gather developer feedback to make the new model as useful as possible, planning events in San Francisco, Europe and Asia-Pacific. As models improve, startups and developers increasingly want more tunable latency, and want to use on-prem deplouments requiring full data control, according to OpenAI.
The shift comes alongside a monumental $40 billion funding round led by SoftBank, which has catapulted OpenAI's valuation to $300 billion. SoftBank will initially invest $10 billion, with the remaining $30 billion contingent on OpenAI transitioning to a for-profit structure by the end of the year. This funding will help OpenAI continue building AI systems that drive scientific discovery, enable personalized education, enhance human creativity, and pave the way toward artificial general intelligence. The release of the open-weight model is expected to help OpenAI compete with the growing number of efficient open-source alternatives and counter the criticisms that have come from remaining a closed model.
Recommended read:
References :
- Data Science at Home: Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs?
- venturebeat.com: OpenAI to release open-source model as AI economics force strategic shift
- WIRED: Sam Altman Says OpenAI Will Release an ‘Open Weight’ AI Model This Summer
- Fello AI: OpenAI has closed a $40 billion funding round, boosting its valuation to $300 billion.
- www.theguardian.com: OpenAI said it had raised $40bn in a funding round that valued the ChatGPT maker at $300bn.
- SiliconANGLE: OpenAI to launch its first ‘open-weights’ model since 2019
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- SiliconANGLE: OpenAI bags $40B in funding, increasing its post-money valuation to $300B
- techxplore.com: OpenAI says it raised $40 bn at valuation of $300 bn
- www.tomsguide.com: OpenAI is planning on launching its first open-weight model in years
- THE DECODER: OpenAI plans to release open-weight reasoning LLM without usage restrictions
- www.it-daily.net: OpenAI raises 40 billion dollars from investors
- bsky.app: OpenAI has raised $40 billion at a $300 billion valuation. For context, Boeing has a $128 billion market cap, Disney has a $178 billion market cap, and Chevron has a $295 billion market cap. So, OpenAI has been valued at something like Boeing plus Disney, or just some $5 billion more than Chevron.
- The Tech Portal: OpenAI has closed a record-breaking $40 billion private funding round, marking the…
- bdtechtalks.com: Understanding OpenAI’s pivot to releasing open source models
- techstrong.ai: OpenAI to Raise $40 Billion in Funding, Release Open-Weight Language Model
- Charlie Fink: OpenAI Raises $40 Billion, Runway AI Video $380 Million, Amazon, Oracle, TikTok Suitors Await Decision
- Charlie Fink: Runway’s Gen-4 release overshadows OpenAI’s image upgrade as Higgsfield, Udio, Prodia, and Pika debut powerful new AI tools for video, music, and image generation.
Ellie Ramirez-Camara@Data Phoenix
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The ARC Prize Foundation has launched ARC-AGI-2, a new AI benchmark designed to challenge current foundation models and track progress towards artificial general intelligence (AGI). Building on the original ARC benchmark, ARC-AGI-2 blocks brute force techniques and introduces new tasks intended for next-generation AI systems. The goal is to evaluate real progress toward AGI by requiring models to reason abstractly, generalize from few examples, and apply knowledge in new contexts, tasks that are simple for humans but difficult for machines.
The Foundation has also announced the ARC Prize 2025, a competition running from March 26 to November 3, with a grand prize of $700,000 for a solution achieving an 85% score on the ARC-AGI-2 benchmark's private evaluation dataset. Early testing results show that even OpenAI's top models experienced a significant performance drop, with o3 falling from 75% to approximately 4% on ARC-AGI-2. This highlights how the new benchmark significantly raises the bar for AI tests, measuring general fluid intelligence rather than memorized skills.
Recommended read:
References :
- RunPod Blog: The race toward artificial general intelligence isn't just happening behind closed doors at trillion-dollar tech companies. It's also unfolding in the open—in research labs, Discord servers, GitHub repos, and competitions like the ARC Prize. This year, the ARC Prize Foundation is back with ARC-AGI-2
- Data Phoenix: The ARC Prize Foundation has officially released the ARC-AGI-2 to challenge current foundation models and help track progress towards AGI. Additionally, the Foundation has opened the ARC Prize 2025, running from Mar 26 to Nov 3, with a $700K Grand Prize for an 85% scoring solution on the ARC-AGI-2.
- THE DECODER: The new AI benchmark ARC-AGI-2 significantly raises the bar for AI tests. While humans can easily solve the tasks, even highly developed AI systems such as OpenAI o3 clearly fail. The article appeared first on .
- eWEEK: The newest AI benchmark, ARC-AGI-2, builds on the first iteration by blocking brute force techniques and designing new tasks for next-gen AI systems. The post appeared first on .
Chris McKay@Maginative
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Google co-founder Sergey Brin is pushing the company's AI team to work 60-hour weeks in an effort to accelerate the development of artificial general intelligence (AGI). Brin believes that the intense competition in the AGI race, particularly from companies like OpenAI, Meta, and Anthropic, requires a "turbocharge" of Google's efforts. He emphasized that the increasing competition in the AGI race, particularly from companies like OpenAI, Meta, and Anthropic.
Brin's call for increased working hours and a return to the office comes as Google faces pressure to maintain its leadership position in the rapidly evolving AI landscape. In an internal memo, he stated that 60 hours a week is the "sweet spot of productivity," urging engineers to dedicate more time to building AI models. This push highlights the growing importance of AGI within the tech industry and the pressure Google faces to stay ahead.
Recommended read:
References :
- futurism.com: Google Cofounder Exhorts Employees to Work 60-Hour Weeks to Create AI Designed to Replace Them
- PCMag Middle East ai: Google Co-Founder Says 60-Hour Weeks Needed to Achieve AGI
- bsky.app: "
“I recommend being in the office at least every weekday…60 hours a week is the sweet spot of productivityâ€
� - Sergey Brin
Quite the vibe shift from tech employees asking about four-day workweeks. https://www.nytimes.com/2025/02/27/technology/google-sergey-brin-return-to-office.html?unlocked_article_code=1.0U4.A8Eb.6hfgL-MPLsba∣=url-share&utm_source=tldrnewsletter
- TechCrunch: Google co-founder Sergey Brin sent a memo to employees this week urging them to return to the office “at least every weekday� in order to help the company win the AGI race, The New York Times reports. Brin told employees that working 60 hours a week is a “sweet spot� for productivity. While Brin’s …
- bsky.app: Sergey Brin nudging staff: highlighted the need for Google’s employees to use more of its A.I. for coding, saying the A.I.’s improving itself would lead to A.G.I.
- www.computerworld.com: Google co-founder: Be in the office every weekday, work 60 hours a week
- NEW SAVANNA: Google executive Sergey Brin made it clear that he wants his peons to focus even harder on developing artificial general intelligence (AGI) — the point where AI is said to become "superintelligent."
- Tekedia: Google co-founder Sergey Brin has made a rare public move, asking engineers at the tech giant to return to the office five days a week to help improve AI models that could ultimately replicate their own jobs.
- Pivot to AI: Twenty years ago, Google was the hottest company with the smartest people. In 2025, Google is making the products it still has actively worse with AI. Fortunately, co-founder Sergey Brin has the answer: work harder, you slackers. Be in the office “at least every weekday.� Remember: “60 hours a week is the sweet spot of […]
- www.windowscentral.com: Google co-founder Sergey Brin calls for the end of remote work, urging engineers to pick up 60-hour weeks building AI models that may render them jobless.
- AIwire: The emergence of OpenAI’s ChatGPT ignited an AI race in late 2022, with tech giants scrambling to keep pace. Microsoft doubled down on its AI ambitions, Meta pushed its open-source approach, and Google has fought to reclaim its dominance. Now, Google appears ready to push the envelope even further. In an internal memo first reported by The New York Times, Google co-founder Sergey Brin said that for the tech giant to be a leader in the artificial general intelligence (AGI) industry, the company's employees need to work harder.
- AI & Machine Learning: Use Gemini 2.0 to speed up document extraction and lower costs
- Maginative: Google Introduces “AI Mode� in Search, Expanding AI Overviews with Gemini 2.0
- techstrong.ai: Google’s New AI Mode Gives Search a New Look Amid Stiff Competition
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DeeperML - #agi