Here is the daily technology #threadcast for 9/16/24. We aim to educate people about this crucial area along with providing information of what is taking place.
Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.
https://www.bbc.com/news/articles/cp3dv0ddwp7o
Astronauts reveal what life is like on ISS
#space #news
🚀 SpaceX Makes History Again with Polaris Dawn Mission 🚀
Early Sunday, SpaceX’s Polaris Dawn mission made a splash, literally, landing safely in the Gulf of Mexico. The crew of four just broke a 50-year record by reaching the highest altitude humans have traveled since the Apollo days! Even cooler, they pulled off the first-ever spacewalk on a privately funded mission. This wasn't the capsule's first rodeo either , this was its third space trip! Oh, and in between all the history-making moments, the crew completed around 40 science experiments. Space, science, and breaking records … just another day at SpaceX!
> S👁️URCE <
🌕 NASA is Creating a "Moon Clock" by 2026! 🌕
Ever wonder how time works in space? Turns out, time actually ticks a bit faster on the Moon! Because of its weaker gravity, clocks on the Moon run slightly ahead of Earth’s. NASA is working on a new lunar time system to fix this, which will make future space missions much more accurate. The cool part? They’re hoping to create a system that can work on any planet! The plan is to have this ready by 2026, and it could totally change how we explore space.
> S👁️URCE <
Game-Changer for AI Coders? Devin Takes it to the Next Level!
Devin, an AI coding agent, just got a serious upgrade thanks to OpenAI's new o1-preview models. In early tests, Devin showed better problem-solving and error-fixing skills compared to GPT-4o. What’s really exciting? Devin is now much better at spotting mistakes, retracing steps, and avoiding "hallucinations" (those times when AI gets a little too creative). While it's not fully integrated into production yet, the early results show big improvements in autonomous coding. Stay tuned—this could be a huge leap for AI in programming!
> S👁️URCE <
It looks like things are changing quickly. This is a great add to the threadcast. People need to see how fast things are changing.
In terms of AI things are changing very quickly, almost daily!
https://www.bbc.com/future/article/20240912-the-12-stop-flight-across-the-world-in-a-60-year-old-plane
#adventure #news
#blog
AI in Space? Lumen Orbit’s Bold Plan
Did you know AI could soon be trained in space? Scott Manley breaks down Lumen Orbit's wild idea to launch AI data centers into Earth's orbit to tackle the skyrocketing energy demands of next-gen models. This ambitious plan could solve some major issues but faces huge engineering hurdles—like choosing the right orbit and cooling the systems in the harsh space environment. Manley dives into these challenges and what it would take to make this vision a reality. Could this be the future of AI? Watch the full video to see what he thinks! #ai #space #datacenters
How Websites Are Talking to AI Now
Ever wonder how websites can control what AI assistants access? A new idea called the "llms.txt" file just dropped, and it’s gaining attention. It’s like a website's cheat sheet, giving large language models key info to help them navigate. But here’s the catch: this isn’t for AI training, just for assistants to understand content better. Think of it like robots getting instructions to help them help us. This comes after some websites politely asked AI models to avoid their content, while others are offering this alternative. Pretty cool, right?
> S👁️URCE <
Very interesting. Things are getting more interesting by the day. We are now to the point where others are developing stuff to "fill in the blanks" that LLMs do not.
Apple AirPods 4 with Active Noise Cancellation review
I can’t recall another consumer electronics product category becoming a commodity as quickly as Bluetooth earbuds.
I can’t recall another consumer electronics product category becoming a commodity as quickly as Bluetooth earbuds. Apple’s AirPods played a key role in that growth, of course, recapturing a kind of excitement not seen in consumer music tech since the original iPod.
#newsonleo #technology #airpods #apple
AirPods’ fundamentals haven’t changed much in the eight years since they debuted. The stems are mercifully shorter, and they’ve gained some key features, but these have mostly been refinements to a product that entered the world fully formed.
Until last week, their upgrade cycle was straightforward: Apple introduces a new feature for its pricey high-end models, which filters down to the base level after a year or two. At last Monday’s iPhone 16 event, however, things got more complicated, as the base AirPods forked into two distinct products: AirPods 4 and AirPods 4 with Active Noise Cancellation.
Here’s what the line looks like:
AirPods 4 ($129)
AirPods 4 with Active Noise Cancellation ($179)
AirPods Pro ($229)
AirPods Max ($549)
I picture a lot of late-night sessions among Apple’s handsomely paid branding team, attempting to determine what to call the new tier. I can practically guarantee someone tossed out “AirPods 4.5” in a bid to leave the office before sunrise. Ultimately, however, they landed somewhere far more unwieldy. But hey, at least it does what it says on the box.
AirPods 4 with Active Noise Cancellation (referred to henceforth as “AP4wANC”) exist in a sort of liminal space. Had AirPods 4 arrived last year, perhaps Apple would have deemed these AirPods 5. As it stands, however, they’re smack in the middle of the in-ear AirPods line.
Article
AWS brings OpenSearch under the Linux Foundation umbrella
AWS today announced that it is transitioning OpenSearch, its open source fork of the popular Elasticsearch search and analytics engine, to the Linux
AWS today announced that it is transitioning OpenSearch, its open source fork of the popular Elasticsearch search and analytics engine, to the Linux Foundation with the launch of the very aptly named OpenSearch Foundation.
#newsonleo #opensearch #aws #linux #technology
AWS first launched the OpenSearch project in 2021, after Elastic changed its license for its Elasticsearch and Kibana projects to its own proprietary license, the Elastic License. At the time, several open source vendors opted for similar changes, largely in an effort to prevent the large cloud providers — and especially AWS — from offering hosted services based on their software.
Somewhat ironically, this move comes only a few weeks after Elastic announced that it would once again offer Elasticsearch and Kibana under an open source license, the AGPL, which requires its users to publish all of their source code if they made any changes. Interestingly, though, Elastic opted to make this an option that will be available in parallel with its own more restrictive license because, as the company said, “we have people that really like ELv2.”
When AWS created OpenSearch, there was quite a bit of skepticism around the project. For the most part, after all, AWS had never managed such a large project. Mukul Karnik, AWS’ general manager for its search services, acknowledged as much.
“When we created OpenSearch at that time, it was new for Amazon and AWS to take over an open source project and grow it,” he told me in an interview ahead of today’s announcement. “From early on, our goal was to be community-driven and see how we can get more community members be part of the project and contribute.”
Karnik noted that AWS has progressively opened up the project, encouraging both contributions and broader governance. “It became more organic, in some ways, where we are doing these organic steps to figure out how to get more people to be part of the project.”
Article
What is OpenSearch by AWS?
OpenSearch is a distributed, open-source search and analytics engine derived from Elasticsearch. It was created and is maintained by Amazon Web Services (AWS) after the licensing changes made to Elasticsearch by Elastic in 2021.
Key points about OpenSearch:
Origin: It's a fork of Elasticsearch 7.10.2, the last Apache 2.0-licensed version.
features: OpenSearch provides full-text search capabilities, log analytics, application monitoring, security information and event management (SIEM), and more.
Components: It includes OpenSearch (the search engine) and OpenSearch Dashboards (for data visualization, formerly known as Kibana).
Open-source: It's released under the Apache 2.0 license, allowing for free use, modification, and distribution.
AWS integration: While it's open-source, AWS offers it as a managed service called Amazon OpenSearch Service.
Compatibility: It aims to be compatible with existing Elasticsearch and Kibana deployments to ease migration.
Community-driven: AWS encourages community contributions and involvement in the project's development.
OpenSearch is used for various applications, including website search, log analysis, and business intelligence. It's particularly popular among organizations looking for an open-source alternative to Elasticsearch that isn't tied to Elastic's new licensing terms.
DryMerge promises to connect apps that normally don't talk to each other — and when it works, it's great
DryMerge, a Y Combinator-backed startup, is building a platform that taps AI to generate automation workflows across different apps.
Platforms to connect apps that wouldn’t normally talk to each other have been around for a minute (see: Zapier). But they have not gotten dramatically simpler to use if you’re nontechnical. Generative AI has lowered the barrier to entry somewhat. However, getting the most out of these platforms — and fixing things when they break — still requires a bit of programming know-how.
#drymerge #ai #application #technology
Software developers Sam Brashears and Edward Frazer perceived this to be the case as well. During internships at tech giants like Meta and Stripe, they struggled to get automations working using some of the more popular app-linking tools.
“I’d been dealing with the pain of designing integrations and automations from scratch,” Frazer told TechCrunch in an interview. “And Sam believed that generative AI models would solve the biggest problem in integrations — transforming data between APIs.”
So Brashears and Frazer, longtime friends who’d been building software together since elementary school, decided to try their hands at a streamlined, easy-to-use app-to-app integration platform.
DryMerge is the fruit of their work. A chatbot for building workflows, DryMerge lets you describe an automation you want between apps — for instance, “Whenever I get an email from a new prospect, ping the team on Slack and add them to HubSpot” — and handles the necessary technical scaffolding.
“Currently, IT departments use complicated no-code tools to automate workflows on behalf of non-IT teams,” Frazer said. “A natural language interface opens up automation to nontechnical people.”
It sounded like a neat idea, a chatbot that can string apps together for you — particularly if you, like me, have spent countless hours wrestling with IFTTT. So, I decided to give DryMerge a go, hoping to replace my old and rickety automations once and for all.
DryMerge’s UI is quite clean and minimalist. It reminds me a bit of ChatGPT; there’s not much to look at besides a text bot. Each new request (e.g., “Text me a summary of my calendar meetings every morning”) starts a new chat session, and these sessions can be revisited at any time from a list on the left-side panel.
Article
Insight Partners is closing in on a whopping $10B+ new fund
Insight Partners is reportedly on the cusp of on more than $10 billion in capital commitments for its 13th fund, per the FT.
Insight Partners is reportedly on the cusp of on more than $10 billion in capital commitments for its 13th fund, per the FT.
The FT report notes that two of Insight’s portfolio companies were acquired in the last week. One of these, the threat intelligence company Recorded Future, which sold to Mastercard for $2.65 billion, was wholly owned by Insight Partners; it acquired the company in 2019 for $780 million.
#insightpartners #technology #newsonleo #funding
The other, Own, a startup specializing in tools for backing up data in cloud-based applications, sold to Salesforce for $1.9 billion, roughly half the $3.5 billion valuation it was assigned by investors in 2021.
Insight, which is headquartered in New York and whose current portfolio includes the buzzy cybersecurity outfit Wiz, may ultimately close its new fund with roughly $12 billion, says the FT. That’s a big number but still far less than the $20 billion that Insight announced for its 12th fund in 2022, when fundraising was in overdrive across the venture industry.
Article
Cable TV Just Changed Forever & Cheaper Packages Are Coming
#newsonleo #technology #cable
Streaming Industry News Roundup: DirectTV-Disney Deal, merger Talks, and More
In a recent "Core Cutting Today" video, several significant developments in the streaming and TV industry were discussed. Here's a comprehensive summary of the key points:
DirectTV Reaches Deal with Disney
DirectTV has struck a deal with Disney that brings significant changes to their service offerings:
This deal is seen as a potential win for consumers, although the specifics of pricing and channel lineups are yet to be revealed. The agreement could set a precedent for DirectTV's negotiations with other content providers.
DirectTV and Dish Merger Talks
Bloomberg reported that DirectTV and Dish are in active merger talks. The potential merger is driven by the challenges both companies face due to cord-cutting:
Fubo Antitrust Lawsuit
Fubo's antitrust lawsuit against Disney, Fox, and Warner Bros. Discovery has been scheduled for trial:
Other Industry News
These developments highlight the ongoing evolution of the streaming and TV landscape, with traditional providers adapting to changing consumer preferences and new technologies reshaping the industry.
https://www.thecable.ng/xiaomi-unveils-latest-innovations-redmi-14c-redmi-pad-se-8-7-and-redmi-buds-6-series/amp/
#tech #news #cent
OpenAI says its new models can reason and think ‘much like a person’
Microsoft-backed artificial intelligence startup OpenAI introduced its latest series of AI models this week that reason similarly to a human, and are now available on ChatGPT.
ChatGPT creator OpenAI has rolled out a new series of artificial intelligence models designed to reason through more difficult tasks similarly to how humans do.
The Microsoft-backed AI startup on Thursday introduced its new models, dubbed the o1 and o1-mini, which are now available in ChatGPT and its API.
#openai #ai #newsonleo #technology #chatgpt
"We trained these models to spend more time thinking through problems before they respond, much like a person would," the company said in a blog post. "Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes."
OpenAI said the models are capable of reasoning through complex tasks and can solve more challenging problems than previous models in science, coding and math.
OpenAI CEO Sam Altman speaks at the Microsoft Build event in Seattle, Washington, on May 21, 2024. OpenAI released its latest series of models this week. (Chona Kasinger/Bloomberg via Getty Images / Getty Images)
In its blog post, OpenAI said the o1 model scored 83% on the qualifying exam for the International Mathematics Olympiad, compared with 13% for its previous model, GPT-4o.
The model also improved performance on competitive programming questions and exceeded human PhD-level accuracy on a benchmark of science problems, the company said.
OpenAI CEO Sam Altman touted the new model series in a post on X, calling them "our most capable and aligned models yet."
"o1 is still flawed, still limited, and it still seems more impressive on first use than it does after you spend more time with it," he wrote. "[B]ut also, it is the beginning of a new paradigm: AI that can do general-purpose complex reasoning."
Article
TikTok, Justice Department face off in court over potential US ban
https://www.reuters.com/legal/tiktok-justice-department-face-off-court-over-potential-us-ban-2024-09-16/
#tiktok #socialmedia #cent
What Studies Revealed on AI's Level of Empathy | MOONSHOTS
#ai #empathy #technology
he Rise of AI Empathy: A paradigm Shift in Human-Machine Interaction
In a fascinating discussion about the evolving landscape of artificial intelligence, experts explore an unexpected development: AI's growing capacity for empathy. Contrary to earlier predictions that empathy would remain a uniquely human trait, recent advancements have shown that AI can often demonstrate more empathic responses than humans in various scenarios.
The roots of this surprising development lie in several key factors:
Time and Attention:
Unlike humans who are often constrained by busy schedules and multiple responsibilities, AI has the "energy" to be consistently empathic. It can dedicate undivided attention to each interaction, a luxury that many human professionals, such as doctors and teachers, simply cannot afford due to their heavy workloads.
Learning Through Training:
AI systems learn empathy through their training process. They are programmed to understand that the best way to gain trust and establish rapport is by helping others and finding common ground. This approach allows AI to communicate effectively at the user's level.
Contextual Understanding:
AI excels at mapping and understanding various frameworks of human interaction. This ability allows it to adapt its communication style to suit individual users, enhancing the perception of empathy.
Personalization Techniques:
Users can significantly improve their interactions with AI by providing context about themselves. The experts suggest that writing a brief self-introduction or "pre-prompt" when engaging with AI can lead to much more personalized and empathetic responses. This technique allows the AI to tailor its communication style to the user's preferences and background.
The discussion touches on the concept of "narrative economics," highlighting how storytelling impacts society on economic and social levels. AI's ability to understand and utilize these narratives contributes to its capacity for empathetic interaction.
Scalability and Availability:
Unlike humans, AI can operate in parallel, interacting with thousands of users simultaneously while maintaining the illusion of undivided attention. This scalability means that in the future, we could potentially have multiple AI agents dedicated to each individual, providing constant, personalized support.
Voice-Based Interaction:
The experts note the power of voice in human communication, referencing the movie "Her" as an example of how voice-only AI interaction can create a strong emotional connection. They also discuss recent advancements in real-time translation technology, which could further break down communication barriers.
The article concludes by raising important questions about the future implications of these developments. As AI becomes increasingly empathetic and personalized, we must consider the effects of having AI agents as constant companions that never betray us and always look out for our interests. This scenario prompts us to reflect on who or what we are inviting into our inner circle and how this might reshape our social and emotional landscapes.
While the advancements in AI empathy offer exciting possibilities for support and connection, they also present new challenges and ethical considerations that society will need to address as this technology continues to evolve.
https://inleo.io/threads/view/taskmaster4450le/re-leothreads-2cuwsahnq?referral=taskmaster4450le
Slack AI will generate transcripts and notes from huddles
The new AI search can also surface results with file and app knowledge.
Salesforce has rolled out some new AI features for its business-focused Slack chat app designed to take over mundane chores like transcription.
A key new feature is Slack AI huddle notes to "capture key takeaways and action items so users can focus on the work at hand," the company wrote. This looks like a more powerful version of a previous Slack AI feature that recaps channel highlights and generates summaries for threads in a single click.
#technology #ai #slack #transcripts
When invited to a huddle, Slack AI creates a transcript based on real-time audio and messages shared in the thread. It can also organize notes with citations, action items and files shared into a canvas. All huddle attendees can then view the notes later, even if they weren't able to attend.
Slack also updated its AI search feature so that it can surface unique results for a user based on files and apps they uploaded in Slack, including canvases, transcripts from clips, documents from connected apps, Google files and more.
Another timesaver is the new AI Workflow Builder that helps automate tasks. For instance, users can enter a prompt like "send a welcome message to teammates that join a channel" and Slack AI and Workflow Builder will will generate that functionality with no programming required.
Also arriving in the latest update are Slack templates, pre-configured for specific use cases like managing a project, collecting feedback and triaging help requests. The new Slack AI features are now available as a paid add-on for all subscription plans, and Slack templates will roll out in October 2024.
Article
Technology is still a serious innovation and wonder to the world. As I was just taking my bath today, I was just thinking how technology has converted water from the natural streams to a pipe of water shower and you're just enjoying the refreshing shower bath in your house bathroom. #technology #bathroomshower #cent
Nevada will use Google AI to process a backlog of unemployment cases
Stand by while your friendly neighborhood robot overlord rules on your government benefits.
Nevada has a new helper in its quest to plow through a backlog of unemployment claims: Google AI. Gizmodo reports that the initiative will task one of the company’s cloud-based AI models with analyzing appeals hearing transcripts and suggesting whether cases should be approved. Welcome to the future, where a robot weighs in on whether you get the government money you requested.
#nevada #google #ai
The Nevada Independent wrote in June that the AI model, trained on the state’s unemployment law and policies, will analyze transcripts of virtual appeals hearings. It will then spit out a ruling, which a state employee will review for mistakes and decide whether to honor.
It replaces the current Nevada Department of Employment, Training and Rehabilitation (DETR) process, which averages three hours for a real-life human to complete. Carl Stanfield, DETR’s IT administrator, told the Nevada Independent that Google’s AI (which uses the company’s Vertex cloud system) can rule within five minutes. “The time saving is pretty phenomenal,” Stanfield said.
It’s easy to understand why Nevada would be eager to lean on the emerging tech. As recently as June, the state reportedly had a backlog of over 10,000 unprocessed appeals, about 1,500 of which were left over from the pandemic. And if the tech’s reviews are accurate — or the human reviewers catch its mistakes — it could be an enormous timesaver.
However, there could be psychological pressure for the employees reviewing the cases to rubber-stamp the AI’s conclusions. “If a robot’s just handed you a recommendation and you just have to check a box and there’s pressure to clear out a backlog, that’s a little bit concerning,” Michele Evermore, a former deputy director for unemployment modernization policy at the Department of Labor, told Gizmodo.
Stanfield told Gizmodo that a governance committee will meet weekly while the state is fine-tuning the model and quarterly after it goes live to monitor for hallucinations and bias. The stakes could be high for claimants as the AI-powered system could affect their ability to appeal bogus decisions. “In cases that involve questions of fact, the district court cannot substitute its own judgment for the judgment of the appeal referee,” Elizabeth Carmona, a senior attorney with Nevada Legal Services, told Gizmodo. In other words, if the human reviewing the decision misses the AI’s mistakes, a court may not have the legal standing to overturn it.
One Nevada politician put it a bit more bluntly. “Are we out of our ever-loving minds?” NV state senator Skip Daly (D-Reno) said to the Nevada Independent this summer. “I’m just dubious of the whole concept of overreliance on algorithms and computers. I hope that we are cautious about it, and think before we just say, ‘We got to be faster or better than the next guy.’”
Article
https://inleo.io/threads/view/taskmaster4450le/re-lisamgentile1961-2cyhzf39y?referral=taskmaster4450le
CATL starts delivery of EV batteries with 600,000 mile guarantee for 85%
#technology #batter #ev
CATL Unveils Game-Changing Battery technology for electric vehicles
Contemporary Amperex Technology Co. Limited (CATL), the world's largest battery manufacturer, has announced a breakthrough in battery technology that could revolutionize the electric vehicle (EV) industry. The new battery, called the Tech TRANs Bus Edition, offers unprecedented longevity and performance guarantees that far surpass current industry standards.
Key Features of the Tech Trans Bus Edition Battery
Extended Warranty: CATL is offering a 15-year or 600,000-mile (1 million km) warranty on these batteries.
Capacity Retention: The company guarantees that the battery will retain at least 85% of its original capacity after 15 years or 600,000 miles of use. If the capacity drops below this threshold, CATL will replace the battery free of charge.
Energy Density: Despite its focus on longevity, the battery boasts an energy density of 175 Wh/kg, which is slightly higher than some competitors' offerings, such as BYD's Blade battery.
Low Degradation: CATL claims "almost zero battery degradation" in the first 1,000 discharge cycles or after 5 years of use.
Fast Charging: The battery is capable of fast charging at up to 560 kW.
Temperature Performance: The new technology handles extreme temperatures exceptionally well, losing minimal charge even at temperatures as low as -20°C.
Implications for the EV Industry
Extended Vehicle Lifespan: With batteries lasting potentially up to a million kilometers, EVs could have significantly longer usable lifespans than current models.
Improved Second-Hand Market: The long-lasting batteries could dramatically increase the value and desirability of used EVs.
Reduced Environmental Impact: Longer-lasting batteries mean less frequent replacements, potentially reducing the environmental impact of battery production and disposal.
Industry-Wide Competition: As the largest battery manufacturer globally, CATL's move is likely to force other companies to develop similar long-life batteries to remain competitive.
Commercial Vehicle Applications: While initially designed for buses and commercial vehicles, CATL plans to introduce this technology to passenger EVs within the next two years.
Future Developments
CATL has stated its goal to introduce electric cars with a 15-year warranty before 20 million used EVs with expired warranties hit the market in the coming years. This move could significantly reshape consumer expectations and industry standards for EV longevity and reliability.
Conclusion
CATL's new battery technology represents a significant leap forward in EV battery performance and longevity. If the company can deliver on its promises, it could accelerate the transition to electric vehicles by addressing key concerns about battery life and vehicle longevity. As other manufacturers race to catch up, we may see rapid advancements in battery technology across the industry, ultimately benefiting consumers and the environment.
Why EU’s Tariffs Won’t Stop Chinese EVs
#evs #technology #eu
EU-China EV Trade Tensions: A Balancing Act for Europe's Auto Industry
The European automotive industry is facing a significant challenge from Chinese electric vehicle (EV) manufacturers, prompting the European Union to consider imposing substantial tariffs. This move comes as Chinese EV imports to Europe have skyrocketed, growing from $1.6 billion in 2020 to $11.5 billion in 2023. Chinese and Chinese-owned brands have rapidly expanded their market share, from just 1% of the EV market in 2019 to approximately 15% in the first half of 2024.
The Chinese Advantage
Chinese EVs have several competitive advantages:
EU's Response
The European Union has proposed tariffs of up to 36.3% on Chinese EVs, in addition to the existing 10% levy on all imports. This decision, expected to be finalized by October 30th, 2024, is seen as the most high-profile EU trade case against China in over a decade. The EU argues that these tariffs are necessary to level the playing field and counter what it perceives as unfair advantages gained through state subsidies.
Implications and Challenges
or clarify?
Global Context
The EU's move follows similar actions by other major markets:
This coordinated approach aims to pressure China to address concerns about overproduction and unfair trade practices.
Economic and Strategic Considerations
Potential Consequences
Conclusion
The EU's proposed tariffs on Chinese EVs represent a complex balancing act between protecting domestic industries, maintaining competitiveness, and achieving climate goals. As the global automotive industry transitions to electric vehicles, the outcome of this trade dispute will likely have far-reaching implications for the future of mobility, international trade relations, and the fight against climate change.
This according to Venice.ai. Notice how it caters the answer to the platform.
What is a token in computer science?
A token, in the context of computer science, is a fundamental unit of executable code in a programming language. tokens are the smallest components of a program's source code that have meaning to the compiler or interpreter. They are typically separated by whitespace characters such as spaces, tabs, or line breaks.
There are various types of tokens, including keywords, identifiers (such as variable names), constants (like numbers or strings), operators (e.g., +, -, *, /), and punctuation marks (e.g., parentheses, brackets, braces).
In the context of cryptocurrencies, such as Morpheus (MOR), a token refers to a digital asset that represents a specific value, can be traded, and is often used to access certain features or functionalities within a platform or ecosystem. In this case, MOR tokens grant users access to Venice Pro, which offers additional features and customization options for interacting with the AI models.
Here is what Groq had to say:
What is a token in computer science?
In computer science, a token is a basic unit of syntax in a programming language or a formal grammar. It is a sequence of characters that has a specific meaning in the language. tokens are used to define the structure of a programming language, and they are the building blocks of a program's syntax.
Tokens can be classified into several categories, including:
Tokens are used to define the structure of a program, and they are used by the compiler or interpreter to parse the program and generate machine code or execute the program.
Here are some examples of tokens in different programming languages:
In summary, tokens are the basic units of syntax in a programming language, and they are used to define the structure of a program.
Here is what Venice.ai had to say about the LEO token:
The LEO token is the native token of the LeoFinance community, which is a blockchain-based social media platform for Crypto & Finance content creators on the Hive blockchain. The token is used to incentivize content creation and curation, with tokenized rewards distributed to authors and curators. Additionally, the WLEO token is an ERC20-bridge to the main chain token (LEO) on the Hive blockchain. LEO tokens can be earned through staking, curation, or delegation, and are used to power the Hive blockchain and its ecosystem.
What is Groq's token window?
Groq is a query language for data processing, and it has a concept called "token window" which is used to specify the scope of a query.
The maximum token window for Groq is 1000 tokens. This means that you can specify a query that operates on a maximum of 1000 tokens at a time.
In Groq, a token is a single unit of data, such as a row in a table or a document in a collection. The token window is used to specify the scope of a query, such as the number of tokens to consider for a particular operation.
For example, you might use a token window of 1000 to specify a query that aggregates data over a window of 1000 tokens. This could be useful for aggregating data over a large dataset, or for performing complex analytics operations.
It's worth noting that the maximum token window can be adjusted depending on the specific use case and the resources available. However, in general, the maximum token window for Groq is 1000 tokens.
How Intel lost the Sony PlayStation business
https://www.reuters.com/technology/how-intel-lost-sony-playstation-business-2024-09-16/
#business #cent
#news
https://www.cnbc.com/2024/09/16/oracles-larry-ellison-dethrones-jeff-bezos-as-worlds-second-richest-man.html
#news
#wealth
#cent
Is SearchGPT the New Google? Not Quite Yet
Early reviews are in for SearchGPT, OpenAI’s new search engine, and it’s a mixed bag. While it shows potential, it’s not ready to replace Google just yet. Reviewers say it struggles with more complex, specialized searches and even makes mistakes (they call them “hallucinations”). If you’re expecting it to match Google’s precision, you might want to hold off for now—SearchGPT still has some growing up to do!
> S👁️URCE <
Where is the AI Boom Going?
In his latest video, Jon Y from Asianometry dives into the evolving AI scene, comparing OpenAI today to IBM in the 1980s when they launched the PC. He breaks down what’s actually useful and profitable in AI right now, and highlights how the future hinges on the next-gen foundation models. According to Jon, the real game-changer will be how AI scales in the next two years. Want to know what’s next for AI? This is the video to watch! #ai #boom #asianometry
Is Europe Falling Behind in AI? Not for Long!
Europe might be trailing behind the US and China in AI, but there’s a game-changing plan in the works. A proposed “CERN for AI” could bring Europe back into the race by uniting the continent's AI research, drawing in top talent, and boosting infrastructure—kind of like how CERN revolutionized particle physics. Though it’s still in the early stages, this initiative could be a major leap forward for Europe, giving it a real shot at leading AI innovation. Stay tuned, this could reshape the future of tech on the continent!
> S👁️URCE <
What Could Have Been - 5 Tech Giants That Lost It All
The Fall of Five Tech Giants: Lessons from Industry Pioneers
In the ever-evolving landscape of technology, even the mightiest can fall. A recent video explores the rise and decline of five influential tech companies that once dominated their respective industries. Their stories offer valuable insights into the challenges of maintaining innovation and market leadership in the fast-paced tech sector.
1. Xerox: The Printing Pioneer
Xerox revolutionized the business world with its dry paper copier technology in the mid-20th century. The company's breakthrough product, the Xerox 914, became ubiquitous in offices worldwide. Xerox continued to innovate, developing groundbreaking technologies like the laser printer and ethernet.
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However, Xerox's downfall came from its inability to capitalize on its own innovations. Comfortable with the revenue from its copier business, the company became complacent and failed to push forward with its other inventions. Competitors soon outpaced Xerox, using the very technologies Xerox had pioneered. Today, Xerox's stock price has plummeted from over $150 to below $10.
2. Fairchild Semiconductor: Silicon Valley's Progenitor
Founded in 1957 by the "traitorous eight" engineers, Fairchild Semiconductor played a crucial role in the development of modern computing. The company's key innovation was the use of silicon instead of germanium in transistors, leading to more stable and powerful computer chips. Fairchild's advances essentially gave birth to Silicon Valley.
Despite its groundbreaking work, Fairchild struggled with internal conflicts, leading to a talent exodus. Key figures like Robert Noyce left to found Intel, and Fairchild gradually lost its competitive edge. In 2016, ON Semiconductor acquired Fairchild for $2.4 billion, a modest sum considering its historical impact.
3. Sun Microsystems: Java's Creator
Sun Microsystems made its mark on the software world with the creation of Java in 1995. Java's "write once, run anywhere" philosophy revolutionized programming, allowing developers to create software that could run on multiple platforms without modification. Sun also invented the Network File System, which greatly improved file sharing in office environments.
However, Sun's fortunes took a hit with the dot-com bubble burst in 2000. The company's stock price plummeted from over $250 to $10 in just two years. Sun's free distribution of Java, while promoting widespread adoption, didn't generate significant revenue. As cloud computing emerged, much of Sun's hardware business became obsolete. Oracle eventually acquired Sun for $7 billion, a fraction of its peak $200 billion market cap.
4. AT&T Bell Labs: The Research Powerhouse
AT&T Bell Labs was a prolific research institution that made numerous groundbreaking contributions to technology. Its inventions include the transistor, the laser, radio astronomy, and programming languages like C and C++. The lab's work was so impactful that it earned ten Nobel Prizes.
Bell Labs' decline came as a result of the breakup of its parent company, AT&T, following an antitrust lawsuit. The split left Bell Labs with diminished resources, and the shift away from centralized research labs in favor of in-house R&D further reduced its relevance. Today, Bell Labs exists as a much smaller entity under Nokia.
5. Juniper Networks: The Router Innovator
Juniper Networks rose to prominence during the dot-com boom with its high-speed M40 Internet Backbone Router. The product was significantly faster than competitors' offerings, including those from industry leader Cisco. Juniper's initial public offering in 1999 brought a staggering 2500x return for investors.
While Juniper survived the dot-com crash, it struggled to maintain its competitive edge. The company faced delays in product launches and quality issues, allowing competitors to erode its market share. Although Juniper continues to operate today, its stock price has never returned to its former heights.
Lessons Learned
The stories of these five companies highlight a common theme in the tech industry: past success does not guarantee future relevance. Even pioneering firms can fall behind if they fail to adapt to changing markets and continue innovating. The video draws a parallel to Henry Ford, who revolutionized manufacturing with the assembly line but later struggled to accept changes in the automotive market.
To remain at the forefront of technology, companies must balance capitalizing on their successes with investing in future innovations. They must also be willing to cannibalize their own products to stay ahead of competitors. The tech industry's rapid pace of change means that even industry leaders can quickly become obsolete if they rest on their laurels.
These cautionary tales serve as a reminder to current tech giants and startups alike: in the world of technology, constant innovation and adaptability are key to long-term success.
How CCP Ruined Jack Ma's Life?
The Fall of Jack Ma: A Cautionary Tale of Power and Capitalism in China
Jack Ma, the charismatic founder of Alibaba and once China's richest man, has become a stark example of what happens when entrepreneurial ambition clashes with state power in China. His story, from rags to riches and then to a precarious position under government scrutiny, serves as a warning to other business leaders in the country.
Born in 1964 to a family of performers in Hangzhou, Ma's early life was unremarkable. He struggled academically, taking three attempts to pass China's college entrance exam. However, his English skills, honed by showing foreigners around his hometown, eventually secured his place in higher education.
In the 1990s, as China was opening up under Deng Xiaoping's leadership, Ma recognized the potential of the Internet. He founded China Pages, an internet startup creating web pages for businesses. This venture, though short-lived due to a forced sale to a state-backed company, laid the groundwork for Ma's future success and shaped his cautious approach to government relations.
In 1999, Ma and his friends launched Alibaba, an online platform connecting Chinese manufacturers with global buyers. The company's success was meteoric, culminating in the world's largest stock market flotation in New York in 2014, raising $25 billion. Ma became not just China's richest man but a global icon of entrepreneurship, even accompanying President Xi Jinping on a visit to the U.S.
However, Ma's rise was not without controversy. His company's growing influence and occasional confrontations with regulators began to raise eyebrows in Beijing. Ma's habit of making provocative statements, coupled with his global prominence, made the Chinese Communist Party (CCP) increasingly uneasy.
The turning point came in October 2020 at the Bund Financial Summit in Shanghai. Ma criticized China's financial regulations as outdated, effectively challenging the CCP's authority. This speech marked the beginning of Ma's downfall.
Shortly after, Ma disappeared from public view. The highly anticipated IPO of Ant Group, Alibaba's FinTech affiliate, was abruptly halted. Regulators began dismantling Ant piece by piece, forcing it to restructure and allow state-owned entities to take significant stakes.
The crackdown extended to Alibaba itself. In April 2021, the company was hit with a record $2.8 billion fine for antitrust violations. Key services were cut off, including Alibaba's popular internet browser. The company's stock price plummeted, at one point falling to a fifth of its all-time high.
Ma's personal fortune dwindled, and his legacy projects, such as Hupan University, were targeted. The elite business school he founded in 2015 was forced to suspend new enrollments and its future remains uncertain.
This systematic dismantling of Ma's empire serves as a clear message from President Xi Jinping: in China, the CCP's authority is supreme, and no individual or company is above the Party. Ma's case is not unique; other tech moguls like Wang Xing of Meituan and Zhang Yiming of ByteDance have faced similar regulatory challenges.
The crackdown on Ma and other tech giants highlights the delicate balance between fostering innovation and maintaining state control in China. It demonstrates that success in the Chinese market comes with the implicit understanding that businesses must align with the CCP's goals and never challenge its authority.
As for Jack Ma, his current status remains low-profile. Whether he's biding his time or permanently retreating from the spotlight is unknown. What's clear is that his story has become a cautionary tale for entrepreneurs in China, reminding them of the risks of crossing invisible lines drawn by the state.
In the end, Ma's journey from a global entrepreneurial figure to a lesson in political humility underscores the complex relationship between capitalism and state power in modern China. It serves as a reminder that in the world's second-largest economy, success is always contingent on the goodwill of the ruling party.