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What to expect at Amazon's February event: Alexa 2.0, new Echos, and Fire TV upgrades - Related to february, macos, this, fire, expect

Sam Altman Hints at More Open-Source AI as OpenAI Moves Toward AGI

Sam Altman Hints at More Open-Source AI as OpenAI Moves Toward AGI

OpenAI is exploring the open-sourcing of AI as it moves toward Artificial General Intelligence (AGI), CEO Sam Altman stated in a recent blog post.

“AI will seep into all areas of the economy and society; we will expect everything to be smart. ” Altman wrote. “Many of us expect to need to give people more control over the technology than we have historically, including open-sourcing more.”.

Altman outlined three key economic trends in AI—intelligence scaling predictably with resource investment, a rapid decline in AI costs, and super-exponential socioeconomic value from increasing intelligence.

He noted that AI token costs have fallen 150 times between early 2023 and mid-2024, a pace exceeding Moore’s Law. “The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use,” he expressed.

He warned that while AGI’s benefits could be widely distributed, its impact will be uneven across industries. Some sectors may remain largely unchanged, while scientific progress is expected to accelerate significantly.

“The balance of power between capital and labour could easily get messed up,” Altman mentioned, suggesting that intervention might be necessary. “OpenAI is considering strange-sounding ideas such as providing a compute budget to enable global AI access.”.

AI agents, which Altman described as virtual co-workers, are being rolled out. He projected that software engineering agents could eventually handle tasks similar to junior developers at top firms, though requiring supervision. He also speculated on the impact of deploying such agents at scale across multiple industries.

Altman acknowledged risks in AGI deployment and noted that public policy will play a crucial role in shaping its integration. He cautioned against authoritarian control of AI and stressed that individual empowerment should be prioritised.

OpenAI continues to launch products “early and often” to allow society and technology to co-evolve, Altman wrote. He emphasised the long-term goal of making AGI a tool that enhances human capability, stating that by 2035, “anyone should be able to marshal the intellectual capacity equivalent to everyone in 2025.”.

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India’s first Drone Centres of Excellence (CoEs) have been launched in Odisha’s Kalahandi district under the Sansad Adarsh Gram Yojana (SAGY).

This app makes using Ollama local AI on MacOS devices so easy

This app makes using Ollama local AI on MacOS devices so easy

I've turned to locally installed AI for research because I don't want third parties using my information to either build a profile or train their local language models (LLMs).

My local AI of choice is the open-source Ollama. I not long ago wrote a piece on how to make using this local LLM easier with the help of a browser extension, which I use on Linux. But on MacOS, I turn to an easy-to-use, free app called Msty.

Also: How to turn Ollama from a terminal tool into a browser-based AI with this free extension.

Msty allows you to use locally installed and online AI models. However, I default to the locally installed option. And, unlike the other options for Ollama, there's no container to deploy, no terminal to use, and no need to open another browser tab.

Msty capabilities things like split chats (so you can run more than one query at a time), regenerate model response, clone chats, add multiple models, real-time data summoning (which only works with certain models), create Knowledge Stacks (where you can add files, folders, Obsidian vaults, notes, and more to be used to train your local model), a prompt library, and more.

Msty is one of the best tools for interacting with Ollama. Here's how to use it.

What you'll need: The only things you'll need for this are a MacOS device, and Ollama installed and running. If you haven't installed Ollama, do that first (here's how). You'll also need to pull down one of the local models (which is demonstrated in the article above).

Also: I tried Sanctum's local AI app, and it's exactly what I needed to keep my data private.

At this point, you can type your first query and wait for the response.

One of the cool functions of Msty is that it allows you to change the model instructions.

For example, you might want to use the local LLM as an AI-assisted doctor, for writing, accounting, as an alien anthropologist, or as an artistic advisor.

Also: The best AI for coding in 2025 (and what not to use).

There are many other things Msty can do, but this guide will get you up and running quickly. I would suggest starting with the basics and, as you get used to the app, venture into more complicated processes.

India’s first Drone Centres of Excellence (CoEs) have been launched in Odisha’s Kalahandi district under the Sansad Adarsh Gram Yojana (SAGY).

Amazon has been focused on bringing generative AI to Alexa for the past few years, hitting multiple delays in launching new capabilities......

What to expect at Amazon's February event: Alexa 2.0, new Echos, and Fire TV upgrades

What to expect at Amazon's February event: Alexa 2.0, new Echos, and Fire TV upgrades

Amazon has been focused on bringing generative AI to Alexa for the past few years, hitting multiple delays in launching new elements that the enterprise first showcased in September 2023. The deferred Alexa [website] seems poised for a 2025 release, as evidenced by the surprise Devices and Services event Amazon is hosting at the end of the month.

Amid rumors of Alexa [website] shortcomings, Amazon skipped its 2024 Devices and Services event, where the corporation typically announces new Alexa functions and hardware devices. Now, the corporation plans to host an Amazon Alexa-themed event, where it is expected to unveil the voice assistant's generative AI functions and finally put an ETA on its launch.

Also: 5 ways AI can help with your taxes - and 10 major mistakes to avoid.

The event, which will take place on Feb. 26 in New York City, will be Panos Panay's first since joining the Devices and Services division after his Microsoft exit. But aside from new Alexa elements, Amazon could be preparing to launch other devices.

What to expect from Amazon's February 2025 event.

This is expected to be the main event during the Devices and Services announcements at the end of February. During the last Devices and Services event, Amazon executive Dave Limp revealed a gen AI-powered Alexa coming to an Echo device near you.

Also: This app makes using Ollama local AI on MacOS devices so easy.

This Alexa [website] featured a more natural cadence in its replies, could handle multiple prompts in a session, and would generate content instead of providing a canned answer to questions. It would also feature greater customization power to remember user preferences (perhaps like ChatGPT's Memory) for more productive user interactions.

But Amazon mentioned little about the new Alexa after the event, with information released only through rumors that the organization was repeatedly forced to delay its gen AI launch due to deficient performance. When the organization skipped last year's event and then sent out invitations to an event for Feb. 26, the logical speculation is that this is the dawn of Alexa [website].

While Alexa dominates the US market for virtual assistants, preferred by two-thirds of Americans, it's also not long ago fallen behind other assistants, including Google and, most not long ago, Siri. The release of OpenAI's ChatGPT in recent years triggered a tidal wave of generative AI that pushed other virtual assistants ashore, while Alexa appears to have sunk to the bottom of the ocean.

Also: Security firm discovers DeepSeek has 'direct links' to Chinese government servers.

ChatGPT and Microsoft Copilot powered by OpenAI's technologies, Google Assistant powered by Gemini, and Siri powered by Apple LLMs and OpenAI have all become the go-to generative AI virtual assistants in the past [website] years. While their road to do so has been riddled with obstacles and delays, they've all gotten there sooner or later -- except for Amazon's Alexa.

Amazon is rumored to have a 'go, no-go' session on Feb. 14, 12 days before the event, to make a final decision on the launch.

Amazon's Alexa [website] is expected to work behind a subscription service that would range from $5 to $10 monthly. While this has been rumored for about a year, word is that Amazon is planning to introduce the upgraded Alexa for free to a limited number of clients.

Also: OpenAI's o3-mini now lets you see the AI's thought process.

The 'Classic Alexa' will still be available for clients who prefer not to pay the monthly fee, though it's unsure how long Amazon plans to maintain the current version.

While Amazon skipped its large-scale Devices and Services event last year, it still released several new devices from October through December of 2024, including the largest Echo Show ever -- the 21-inch model. Amazon also released a new Echo Show 15, its first-ever color Kindle, the Kindle Colorsoft, a new Kindle Scribe, a Fire TV Stick HD, and a new Fire HD 8 tablet.

Also: Mistral's AI chatbot comes to iOS and Android - here's why you should try it.

While this is already a full lineup of devices, Amazon could still launch some new hardware during its February 2025 event. Amazon could debut new Echo speakers, like an improved Amazon Echo overdue for an upgrade, or a new smart display designed to take advantage of the new generative AI-powered Alexa.

The summer of 2024 also saw the launch of the Echo Spot, a new smart speaker with a small screen that revives the clock radio.

While most of the focus for the Amazon Devices and Services events is on Alexa, we could see some Fire TV upgrades coming to Amazon's lineup of smart TV devices.

Amazon presented the Fire TV Omni Mini-LED series of smart TVs last November, as well as a new Soundbar Plus Series and upgraded 4-Series. While I'm not expecting a new lineup of Fire TV panels, I could see Amazon releasing new generative AI capabilities for existing Fire TVs or revamping its older Fire TV Sticks.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
23.1%27.8%29.2%32.4%34.2%35.2%35.6%
23.1%27.8%29.2%32.4%34.2%35.2%35.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
32.5% 34.8% 36.2% 35.6%
32.5% Q1 34.8% Q2 36.2% Q3 35.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Machine Learning29%38.4%
Computer Vision18%35.7%
Natural Language Processing24%41.5%
Robotics15%22.3%
Other AI Technologies14%31.8%
Machine Learning29.0%Computer Vision18.0%Natural Language Processing24.0%Robotics15.0%Other AI Technologies14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Google AI18.3%
Microsoft AI15.7%
IBM Watson11.2%
Amazon AI9.8%
OpenAI8.4%

Future Outlook and Predictions

The Altman Hints More landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Improved generative models
  • specialized AI applications
3-5 Years
  • AI-human collaboration systems
  • multimodal AI platforms
5+ Years
  • General AI capabilities
  • AI-driven scientific breakthroughs

Expert Perspectives

Leading experts in the ai tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"The next frontier is AI systems that can reason across modalities and domains with minimal human guidance."

— AI Researcher

"Organizations that develop effective AI governance frameworks will gain competitive advantage."

— Industry Analyst

"The AI talent gap remains a critical barrier to implementation for most enterprises."

— Chief AI Officer

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing ai tech challenges:

  • Improved generative models
  • specialized AI applications
  • enhanced AI ethics frameworks

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • AI-human collaboration systems
  • multimodal AI platforms
  • democratized AI development

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • General AI capabilities
  • AI-driven scientific breakthroughs
  • new computing paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of ai tech evolution:

Ethical concerns about AI decision-making
Data privacy regulations
Algorithm bias

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Responsible AI driving innovation while minimizing societal disruption

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Incremental adoption with mixed societal impacts and ongoing ethical challenges

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and ethical barriers creating significant implementation challenges

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Redefinition of knowledge work, automation of creative processes. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Ethical concerns, computing resource limitations, talent shortages. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Multimodal learning, resource-efficient AI, transparent decision systems. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

API beginner

algorithm APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

platform intermediate

interface Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

generative AI intermediate

platform