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Does anyone have reservations about selling their stocks?

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Investing in usd stocks/taxation canada

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I’m an “newer” autist. What is the potential for these in the coming 2 days after the $IBM blow out?

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The Coming Analog Age: Bullish Scenario For Texas Instruments, Analog Devices, Qualcomm, Tower Semiconductor, IBM?

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YOLO Alert: Boeing on the Brink – Why WSB Traders Should Short the Skies

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$NOK? Is this a buy?

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Diversification outside of USA

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Twitter-backer knocks billions off its value after Musk’s ‘go f--- yourself’ outburst

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Twitter-backer knocks billions off its value after Musk’s ‘go f--- yourself’ outburst

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Ken Griffin Now Makes Surprising Claims Confirming Illegal Manipulation

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2024 AI wave?

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Cyberwarfare is The Weapon of Choice for Current Global Conflicts

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Is anything really a "forever stock?"

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Thoughts on IBM switching from 401k's to Pensions?

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Am I covering the sectors I want to invest into well?

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I am new to stocks and created my first portfolio - what are your thoughts and inputs?

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AI is going to kill the Tech Industry

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IBM is short 25.9M shares. Is it safe?

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Cyberwarfare is The Weapon of Choice for Current Global Conflicts

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Remark Holdings' customers include the Las Vegas Raiders and the Las Vegas Police

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Remark Holdings' customers include the Las Vegas Raiders and the Las Vegas Police

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Integrated Cyber (ICS:CSE) takes steps to reduce the Growing Impact and Cost of Ransomware and Data Breaches

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Warren Buffett’s Berkshire Hathaway Hits Record $157 Billion Cash

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Integrated Cyber (ICS:CSE) takes steps to reduce the Growing Impact and Cost of Ransomware and Data Breaches

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Data Provider for Adjusted Historical Prices with Last Data Updated in the Middle of Trading Day?

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Expected Moves: Meta, IBM, Servicenow and more.

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Economic events for the week starting 10-23

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$OKMN NEWS out!

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I wanted to try to invest in 10 completely random stocks to see if this beats the market in 1 year, so I asked ChatGTP...

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FWIW: AAPL market cap 18x that of IBM

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IBM Yolo

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POTENTIAL RUNNER! New IPO W/$8 Billion Valuation - Sept 13 Run Down🔥

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The next stock I am researching: $ASPI

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ASP Isotopes ($ASPI) looking to get into quantum computing

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IBM rolls out new generative AI features and models | TechCrunch

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9/5 Pre-market TMT Breakout: $PINS better metrics, $AAPL neg impact from Huawei phone/new $IBM?, $DIS Bull case, $NTAP upgrade, $ORCL upgrad

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Pre-market TMT Breakout - $PINS better metrics, $AAPL neg impact from Huawei phone/new $IBM?, $DIS Bull case, $NTAP upgrade, $ORCL upgrade on better runway growth, $ABNB to join SP500

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Let's talk about Quantum Computing

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$WHSI joins Next Realm AI Research Lab, an IBM Business partner, for Wearable Health Data

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WHSI joins Next Realm AI Research Lab for Wearable Health Data

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Anyone ever heard of $MOND?

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IBM, what's not to like?

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Kyndryl holdings turning a corder

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Butterflies & Iron Condors: Assignment Risk vs. Duration & Stock Selection

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GBT Segmental Update: Magic2 a Suite of Eight AI Driven EDA Tools Assisting Engineers with Faster Semiconductor Design

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LK-99 - The Potential Revolutionary Room-Temperature Superconductor

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Rate my (Revised) portfolio?

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Asked ChatGPT what the market impact would be if it was confirmed that aliens exist

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My AI momentum trading journey just started. Dumping $3k into an automated trading strategy guided by ChatGPT. Am I gonna make it

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(7/19) Wednesday's Pre-Market Stock Movers & News

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The AI trading journey begins. Throwing $3k into automated trading strategies. Will I eat a bag of dicks? Roast me if you must

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Integrated Cyber, An Upcoming AI Cybersecurity IPO To Take Notice Of

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Investment plan for about 85 000$ USD over the coming year

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Investment plan for about 85 000$ USD over the coming year

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Quantum Computing:

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Quantum Computing:

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Quantum Computing: Bullish ($IONQ)

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Integrated Cyber, An Upcoming AI Cybersecurity IPO To Take Notice Of

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Recommendation Request

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IBM v Microsoft

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IBM acquisiation of Apptio

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Opened my paper trading account and made some options!

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Potential Pennystock of the Year: $OSS - One Stop Systems

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Potential Pennystock of the Year: $OSS - One Stop Systems

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Potential Pennystock of the Year: $OSS - One Stop Systems

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Nearly half of Warren Buffett's $366 Billion Portfolio is invested in only 1 stock

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Who can strengthen cyber security?

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This isn’t a bubble it’s a revolution, like the industrial revolution, just on a grand scale.

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The AI hype is not what investors say it is, heres why im shorting the AI bubble

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Profiting off the potential power grid failure. Overall thoughts and discussion.

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I asked ChatGPT how to profit off of a power grid failure.

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Unleashing the Hybrid Cloud AI Revolution: Nvidia's DGX, IBM's Ansible, and the Perfect Storm

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Unleashing the Hybrid Cloud AI Revolution: Nvidia's DGX, IBM's Ansible, and the Perfect Storm

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Unleashing the Hybrid Cloud AI Revolution: Nvidia's DGX, IBM's Ansible, and the Perfect Storm

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IBM: Not Your Grandma's Boyfriend’s Favorite Tech Giant Anymore, Pioneering the AI Revolution Like a Boss

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IBM Will Launch Partnership with Global Universities to Develop a 100,000-Qubit Quantum-Centric Supercomputer

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Shopify ($SHOP) delivers impressive earnings, enticing investors to consider buying the stock.

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[D] The Question facing Nvidia

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Today, Dallas, Texas was disrupted by a large cyberattack impacting multiple services and important computer systems, emphasizing the need for cybersecurity investment for all sizes of businesses - CyberCatch's (CYBE.v) patented AI-enabled platform solves the root cause of these attacks.

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IBM will lay off thousands of employees. Their work will be taken over by artificial intelligence

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Thoughts on Kraft Heinz (KHC)?

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IBM to Pause Hiring for Jobs That AI Could Do

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Capitalizing on the AI Boom: Companies Poised to Benefit from Artificial Intelligence Adoption

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U.S. stocks trade lower as traders eye earnings from Morgan Stanley, IBM

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Morning Briefing 🌞 April 20th 2023

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(4/20) Thursday's Pre-Market Stock Movers & News

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IBM, TSM, NOK rocket 🚀 🤣

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Stocks making the biggest moves after hours: Tesla, Las Vegas Sands, IBM and more

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IBM misses first-quarter revenue estimates as corporate IT spending shrinks

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Weekly Earnings Digest for Options Traders: NFLX, TSLA, IBM, GS, T, SCHW and more!

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$IBM Earning Play

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Expected Moves: Low IV Trading and Earnings from Netflix, Tesla, Goldman, IBM and more.

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AI Stocks: 5 Companies Leading the AI Revolution

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AI Stocks: 5 Companies Leading the AI Revolution

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Debunking Kerrisdale Capital's Bearish Take on C3.ai

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VERSES AI ($VRSSF) The ONLY pure horizontal AI play

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Positions to buy during dip

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dividend stocks - what are your favourites and why ?

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NVDA still overvalued and AI wont change the world because its been around a long time. Just another boom bust Cycle.

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College graduate stock account.

Mentions

No reverse splits since prior to when it was sold as a shell. Prior to that I’m not at all concerned because there was nothing to invest in then only hopes of something to come. Now they are a legit business generating more than $5M in revenue per quarter as of this last quarter. They have a real CEO with great experience who also has good connections with IBM, where he has worked in the past. I get the skepticism. But if you don’t know anything about it, it’s with some research.

Mentions:#IBM

Yeah, I bought IBM back when they were making advances on Watson. I had met this retired (early) manager from the company who was still in touch with people there and he was often talking about the potential for what it could do. Most likely office politics and bad management decisions caused them to drop the ball.

Mentions:#IBM

Yeah I don't know how I got IBM in my head from reading INTC.

Mentions:#IBM#INTC

Are you talking about IBM?

Mentions:#IBM

I met a guy that worked there before 2000, I bought his 3d printer. He said they worked really hard to make sure the cleaning lady could operate a printer since printing was so huge before real computing took over. They created the PC as an open platform but licensed the software to Gates, his mother was on the board. They tried to make a windows platform but failed, OS2 was not bad at all. They owned Alta Vista which was a search engine in 1998, he said he retired before then. I thought IBM failed to see the future right there, then I watched as Google easily took search. They created Watson and I thought they would give it away for free with Ads but they didn't, OpenAI made 80b doing the same thing watson was doing 12 years ago. Intel fired everyone over 50 a few years ago. Maybe they deleted their future.

Mentions:#IBM

Well Cuda and other standards developed by Nvda are a big part of their moat. If there were open standards that could lead to increase datacenter demand, but would more easily allow other chipmakers access to the market that is currently dominated by Nvda's standards. Similar to how the PC industry standards were dominated by IBM (who invented the PC) and other big players until the industry mostly went to open standards that any manufacturer could use.

Mentions:#IBM

Like IBM in the late 50s... This adventure won't last that long, but there's still run left in it

Mentions:#IBM

"I think there is a world market for maybe five computers." Thomas Watson, president of IBM, 1943

Mentions:#IBM

Literally blew up my account from 18k to 80k down to $1200 on NVDA and TSM calls. Had a couple good earnings plays with IBM puts, AAPL calls then HIMS calls. Just finally got back up to $30k. I got greedy and increased my position larger than I should have on the nvidia run yesterday. Now I’m back down to $14k overnight. Gotta have discipline and be smart, but you can climb back out of the hole. Just limit your exposure, cut your losers quick, and take profits sooner than you normally would. It’s better to lose a few hundred than holding a losing position and watching your account evaporate.

Nope. AI is dead. IBM DOS is back!!

Mentions:#IBM

Nope AI is dead. We’re heading back to IBM DOS. /s

Mentions:#IBM

>**McD** to end its partnership with **IBM** and shutting down **AI** orders at drive throughs. Viral videos on social media includes comical orders of 240, 250, and then 260 chicken McNuggets. In other videos, the A.I. rings up a customer for nine iced teas instead of one, fails to explain why a customer could not order Mountain Dew and thought another wanted to add bacon to his ice cream. Imagine trusting **IBM** for **AI**

Mentions:#IBM

How exactly? 1. A mortgage crisis has direct impact on the broader population, and therefore directly affects society and politics. It also directly hits the banking and loans industry, which triggers banks collapsing, which triggers more problems for "voters". This is not 1929 and the governments of the world know how to intervene to to a crisis outside their eco-system. The problem is that the banking system is part of our macro-economic global eco-system. 2. Nvidia is a solid company for decades, which there is just now more demand for. Their base in GPUs they can fall back on, and their chips are not going to lose value and demand longterm, even if there is a sudden temporary change in the need for extra chips here and now. Russians can probably hit Kharkiv with a missile that might only need a 10-20yo raspberry pie as guidance computer. 3. Nvidia as a chip-maker also represents a national security asset to the US government. Whether people live in houses or on the street, does not have much of an impact on external security for the US, but chip development and/or production does. So likely Nvidia will be bailed out, if there is an issue, and then as part of the bailout be forced to focus more on national security. I find it a bit funny how Nvidia has become so super overvalued. They are just one company, and the requirement for AI is mainly quantity power, not any specific kind of quality that others cannot make. Maybe I should buy some stock in AMD, since they will eventually rival Nvidia (or at least just fill parts of the quantity in demand for AI chips). Also ARM, Qualcomm, and others will build different architecture, which might be better, different, or specialised for certain tasks. Maybe even Intel, even if they went in a different direction. If there was a problem with Nvidia as a business, then there would be a problem, but Nvidia is a solid business. So they will probably just drop in stock evaluation later, and others will go up, as non-tech normies start to understand there are other companies, who can make chips... Just like people learned decades ago that other besides IBM can build computers. And as with IBM, then Nvidia might well split into several companies, so gaming and AI can go in different directions. Just like IBM split of certain departments and/or sold them to maintain a healthy business. Why do you assume Nvidia will crash? Nvidia builds things. Mortgages and websites (last two major bubbles I remember) were imaginary products. Physical products with continued relevance for secondary/tertiary use will retain some value. Imaginary products have zero inherent value, and therefore have zero value. Yes yes, houses and servers hold value. But a harddrive in a server does not retain value for alternative use, and a house holds a lot of value for a customers, but mortgages are very marginal investments, and the bank has no use for your house. But a university can build a supercomputer out of 10000 PS2s... Has there actually ever been a hardware caused economic crash? Not just computing hardware, but also engineering equipment, or any other high tech physical product like that? All I can remember is crashes over imaginary products (currency, stocks, loans, mortgages, websites, intellectual property etc.). The Spanish economy did not collapse from the gold they "found" in South America, but from flooding it into the market, instead of keeping it in a macro-economic strategic reserve to maintain micro-economic demand... Finance causes bubbles, not things.

Mentions:#AMD#ARM#IBM

Find some good companies in the quantum race that will grow in 10 years. Can’t go wrong with Microsoft and Google. Amazons a good pick as well. I like IBM, but i understand growth hasn’t been great there. Intel is working on quantum chips, but I’d stay away from that one.

Mentions:#IBM

To make a logical qubit, you need 1000 physical qubits. Only recently did IBM reveal a quantum computer with a full logical qubit. The current technology has so many issues that make getting to a functional amount of qubits extremely technically difficult. Even if these large companies are able to get functional qubits running, there isn't any software that can run these computers. HPC is already one of the most technically difficult jobs for engineers, and that still follows the laws of traditional binary/hexadecimal. It's gonna take decades before we really see the technology do anything that creates value, as right now it's still solidly a research project.

Mentions:#IBM

IBM for hardware, Google for software, Intel for chips.

Mentions:#IBM

As far as I know, the top three companies that heavily investing into quantum computing research and development are; Microsoft, Google and IBM.

Mentions:#IBM

That's what they said about IBM in 1956, when they made big iron commercial. "The market isn't that big!" It didn't crash until MSFT, and not even then.. it just stopped growing

Mentions:#IBM#MSFT

Intel has been flat for 20 years because they missed the boat on so many different markets, including IoT and now GPUs for IoT and data centers. They just don’t innovate anymore. Sort of like IBM.

Mentions:#IBM

You have raw materials and grains. But I don’t think the issue is yours alone. 1954 was the last time we kicked ass and produced goods in North America. Even MX has automated and streamlined. The cost to rehab failing global infrastructure is unfathomable. Hence the desire to shift to novel energy consumption with EV, solar, and nuke. It’s easier to build new than to go through half the world reprogramming sandboxed 1978 IBM boxes running FORTRAN.

Mentions:#MX#EV#IBM

Google is the leader in AI as much as IBM is the leader in home computing.

Mentions:#IBM

Competition with Dell, HPQ, SMCI, IBM.... And id where you found the info about liquid cooling but from my understanding SMCI have the best technology on that regard

Mentions:#HPQ#SMCI#IBM

$BA's military business generates a lot of cash, in my opinion. But who am I to say so 🫠 Nobody criticized BA, when the stock only went up from $80 to $400... 🙃 This chart reminds me IBM two years ago...

Mentions:#BA#IBM

Cisco lost 90% of its value during the dot-com bust even though it only had 2 quarters/ 1 annual of negative net income with only a 33% revenue decline. Intel lost 80% and never had a full year loss on the books. Microsoft 50%, never had a full year loss. IBM about 60%, no full year loss. The list goes on. Tons of "makes money can't fail" horror stories if you look beyond pets.com and all that. When the market decides valuation matters again, the mere existence of revenues won't save you if you overpaid for those revenues.

Mentions:#IBM

*Update: McDonald's Ending its AI Drive-Through Partnership With IBM11:11:05 AM ET, 06/18/2024 - MT Newswires* *Nonoo. But it's AI you can't do that.* *Big Mac is the AI of hamburgers.*

Mentions:#IBM#ET#MT

I don't have one, I have a few for different reasons (and it's good to be diversified): - Amazon- they continue to dominate commerce, and it's not going away. Unclear what happens if they spin off AWS business, however. - IBM and Microsoft- steady players in tech, and aren't going anywhere. IBM is a quieter, not as flashy, but will be a big player in applying AI to real world problems. - Google- like IBM and Microsoft, but flashier. Strong AI play. Non-tech: Nextera (NEE) - great long term performer in the utility industry. Manages to be in renewables without suffering bad performance like other alt energy stocks. I was in Adobe, sold half my stake two weeks ago, thinking their new IP terms and conditions would drive lots of professional users away. That was dumb timing.

Mentions:#IBM#NEE#IP

IBM has been doing pretty well lately.

Mentions:#IBM

Yup, just like IBM, GM, Nokia, Panasonic, Yahoo, Blockbuster, Blackberry. All hidden gems.

Mentions:#IBM#GM

It's not hard to be better than Intel, Intel is worse than IBM when it comes to running a business and innovations.

Mentions:#IBM

Unfortunately, I’m not up-to-date on Intel’s gpu offerings except for the bitching sessions that Steve has on gamers Nexus when it comes to horrible arc drivers. (I ❤️ Steve and he’s given them too much slack) I’ve also heard of their dc dpu offerings but have little exposure to them that I can share. My main public sentiments are on Intel is interest how drastically differently / how thirsty they are approaching lunar Lake  They’re dropping hyper threading and picking a better solution to how there approaching bspd power via, finally talking perf/watt The way Steve Job discussed it with the introduction of Intel chips As they moved off of IBM POWER. So many and more 180s and freshness to count. On one hand, it’s impressive to see them making and moving forest on so many innovations but on the other hand, it’s like what the hell were you doing for the last 10 years or so when everyone was eating your lunch and your laptops were boiling by balls?! Literally, the only folks touting anything intel recently (that I can mention) besides was meta due to their highly customized xeon scalable skus and ocp solutions and GN trying to prop up arc on good faith only to have intel shoot them selves in the foot time after time 🎤  I mean it’s cool but y’all need to win me back.  Nvidia has their Tyson-esque ML / llm / consumer and profession portfolio , amd has a Conor mcgregor -esque record with tons of rep (ryzen, epyc, rdna, original Vega) but notable smack downs ( desktop graphics, llm) that we still remember vividly, and intel has… New phone who dis? 🤨

Mentions:#IBM#ML

>and I don't see a future where tech isn't in our lives. tech will be part of our lives, but that doesn't imply tech is a good investment. IBM is a crazy innovative company, with many important patents. but look at their stock's price over the long-term. Wang was dominant in the computer industry in the past, but have you heard about it? my guess is no. >but what's the case against not being bullish on tech for another 20 years? everyone was bullish on tech in 2000, but the boring boomer stocks in DODGX beat QQQ from 1999 to 2021. https://imgur.com/a/qqq-vs-dodgx-u02pQTk

to paraphrase the famous investor John Templeton: >Peak optimism is the best time to sell, and peak pessimism is the best time to buy. Templeton beat the market globally for decades, and he did it not by chasing hot investing trends. he did it by looking for panic, disasters, scandals and other problems that cause investors to sell like crazy. When people are selling, that's where you find bargain stocks. I'm older than the average redditor, and this AI thing is just the latest example of an old old hype trend. it happens every few years with new tech, all the way back to railroads in the 1800s. there was an Electric cars bubble just a few years ago, along with green energy hype. there was a mini hype bubble for AI about 15 years ago, with IBM's Watson software got a lot of press. by the time the enthusiasm bleeds out to the mainstream, it's usually too late because you're buying near a top and the trend is likely to die out soon.

Mentions:#IBM

They aren’t pulling AI they are just firing IBM

Mentions:#IBM

I work as an applied scientist in AI/ML and I believe there will be many efficiencies gained by ML in the future. There already are and have been for more than a decade. Most of them occur in less dazzling applications like recommender systems, search engines, ad placement, etc. The current GenAI chatbot hype being pandered to the laymen is just that, hype. It is nowhere near ready for primetime as it isn't reliable enough for any business critical or safety critical application. It works fairly well as a writing aid as long as you're willing to fact check it. It works for low level customer support. Beyond that there is very little adoption and productivity being gained from it on a broad scale (enterprise business, etc). There are a lot of fancy demos out there and money being raised but very little in terms of applications being adopted at scale. I say this as someone working in the space. AI will continue to be transformative. We've just gotten way too far ahead of ourselves with GenAI specifically. Same thing happened during dotcom bubble. The internet transformed the world but the stock market was way too early. It took Microsoft 16 years to recover to dot com peak after it burst. Oracle, IBM also took a decade or more to recover. Some of the top tech companies in terms of market cap during dot com never recovered. This includes Cisco, Intel, etc. The bubble is already starting to pop if you pay attention to what's going on in the startup space where I work. Many of the unicorn AI startups are starting to fold or looking for an early exit because they aren't gaining any traction with an actual product that's generating enough revenue to justify continued investment. This includes Inflection AI, Humane, Stability AI, etc. AI companies that have raised hundreds of millions the last year or two at billion dollar valuations facing massive down rounds, looking to sell IP, or get acquired for pennies on the dollar. There are a few winners at the top being propped up by massive investments from big tech (Anthropic, Mistral). Unless some actual profits start to get generated from viable business models soon I expect investment to taper off on massive GPU clusters and LLMs. I think we see a shift to smaller expert models that can be trained more efficiently on less compute to do narrow tasks instead of asking a foundation model to do everything. My two cents.

Mentions:#ML#IBM#IP

From 2024 this year to now 06/18/2024 is climbed by 200%. That’s a joke. Overvalued. The financial statements won’t be audited/ released until next year. Did it revenue or net profit sky rocket by 200% for the past 2 quarters ? Beating earnings as in “analyst “ under stating its earnings so the market think it beat earnings ? thing is overvalued like IBM back when it was 900 time it’s PE. 🤔😂

Mentions:#IBM

AI in Video Editing Automated Editing: Tools: AI-powered tools like Adobe Premiere Pro with Adobe Sensei, Magisto, and Lumen5 use machine learning to automatically edit videos by analyzing footage, selecting the best clips, and creating cohesive narratives. Features: These tools can automate tasks such as cutting and trimming, adding transitions, and synchronizing audio, making the editing process faster and more efficient. Enhanced Effects and Visuals: Tools: Platforms like Runway ML and DeepArt.io allow users to apply AI-driven visual effects, color grading, and style transfers to their videos. Features: AI can enhance video quality, upscale resolution, stabilize shaky footage, and apply sophisticated effects that would be time-consuming manually. Content Analysis and Tagging: Tools: IBM Watson Video Enrichment and Google Cloud Video Intelligence provide AI capabilities for analyzing video content, recognizing objects, scenes, and activities, and generating metadata for easier searching and organization. Features: AI can automatically tag and categorize video content, making it easier to manage large libraries of footage. AI in Sound Editing Noise Reduction and Enhancement: Tools: iZotope RX, Adobe Audition with Adobe Sensei, and Auphonic use AI to reduce background noise, remove unwanted sounds, and enhance audio quality. Features: These tools can automatically detect and repair audio issues, such as hums, clicks, pops, and distortions, improving the clarity and quality of recordings. Automated Mixing and Mastering: Tools: LANDR and CloudBounce offer AI-powered mastering services that analyze and process tracks to optimize their sound quality for different listening environments. Features: AI can balance levels, apply equalization, compression, and other effects to create a polished final mix. Speech Recognition and Transcription: Tools: Descript and Otter.ai use AI to transcribe audio and video content, providing accurate text versions of spoken words. Features: These tools can also identify speakers, translate languages, and generate subtitles, enhancing accessibility and searchability. Documentation and Resources Research Papers and Case Studies: IEEE Xplore: Access a wide range of research papers on AI applications in video and sound editing. SpringerLink: Provides numerous articles and case studies on AI in multimedia processing. Industry Reports: Adobe Reports: Adobe regularly publishes reports and whitepapers on the impact of AI in creative industries, including video and sound editing. McKinsey & Company: Offers insights into how AI is transforming various sectors, including media and entertainment. Online Tutorials and Demos: YouTube: Channels like Adobe Creative Cloud, Blackmagic Design, and iZotope provide tutorials and demonstrations of AI tools in action. Tool Websites: Visiting the official websites of tools like Adobe Premiere Pro, iZotope RX, and Lumen5 often provides case studies, tutorials, and user testimonials showcasing AI capabilities.

Mentions:#ML#IBM

Documentation and Examples Research Papers and Studies: "Artificial Intelligence in Agriculture" by C. Kamilaris, A. Kartakoullis, and F.X. Prenafeta-Boldú: This paper reviews the applications of AI in agriculture, including crop monitoring, disease detection, and yield prediction. Google search it. Case Studies: John Deere: John Deere's use of AI and machine learning in their precision agriculture technology helps farmers improve crop yields and manage resources efficiently. John Deere Precision Agriculture IBM Watson Decision Platform for Agriculture: IBM's platform uses AI to provide insights on weather, soil conditions, and crop health, helping farmers make informed decisions. Google search: IBM Watson Decision Platform Industry Reports: "AI in Agriculture" by MarketsandMarkets: This report provides an overview of how AI is being used in agriculture and its potential benefits for crop growth and management. Google search it Government and Academic Institutions: FAO (Food and Agriculture Organization of the United Nations): The FAO has published various reports and articles on the use of AI in agriculture to improve crop yields and manage resources. Google search: FAO AI in Agriculture

Mentions:#IBM

IBM has been a massive under performer, but she's probably doing okay if she's reinvested dividends (not as well as she would have done elsewhere... but there's certainly worse things she could have purchased).

Mentions:#IBM

My mother has always bought and held shares of companies she likes. She didn’t have much money but basically took her tax return every year plus some savings to buy shares she likes. Her biggest winners have been META and CMG. She bought 5K of META 4-5 months after IPO, same strategy for CMG but around 7k on CMG. 3K worth of Apple shares shortly after the iPhone was released. Those 3 plays have pretty much set her up for retirement next year. She’s either smarter than I am or just stubborn as I probably have told her 20x to close out some positions over the years. Even though she’s had very good timing and is set up for retirement she often speaks of how much regret she has for not buying apple just 2 years before she did when they had the 2-1 Split. She had bought $2K of IBM at that time and those haven’t performed anywhere near she thought they would lol.

Mentions:#CMG#IBM

Well, hold on - they were partnered with IBM, who has been absolutely BLEEDING business due to insane mismanagement. Honestly, this is one of the cases where AI is actually going to be beneficial in the short-medium term.

Mentions:#IBM

They say that about so many companies. It was Apple 10 years ago, Cisco 20 years ago, IBM 30 years ago…

Mentions:#IBM

Dude there are these sick stocks with no competitors and are the top in their fields called Intel and IBM. It's so obvious they're the future bro just invest.

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IBM actually had a huge AI lead for years. They were the first to beat a chess master and win at jeopardy. I sort of am shocked they have not taken off again.

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It will take years before that next technology is viable. One promising technology is photonics, which use light instead of electrons to perform computations. One of the promising startups is called PsiQuantum. There are overlaps with quantum computers as well, and for this many large companies are already investing millions (Google, IBM, many more, I won't be surprised if Nvidia is secretly looking into it as well). The thing is, that transition isn't going to come suddenly in a span of few days and every customer suddenly switches to said technology in a matter of days or weeks. That transition, if it ever happens, will take years. It will be painfully obvious when that time comes. As long as you're staying in touch with the market, you wouldn't miss it when this transition happens. You will see it coming. And when that happens, you sell your Nvidia stocks and you buy the stocks of the said new company(s). Or maybe Nvidia is part of that new wave, and then you keep your Nvidia shares. But before that happens, I see no reason why you would make up imaginary scare stories and sell Nvidia (or related semiconductor stocks). There's 0 evidence to show that Nvidia's dominance is cracking or that there's an emerging competitor. 0 evidence. You are making up wild stories if you think otherwise.

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IBM gave up to become a consulting company.

Mentions:#IBM

The problem with IBM is that they are often the first but poor management kills the innovation there (e.g Watson). So while I believe IBM is the most ahead, I wouldn't put serious money there. Also superconducting is thought to be more scaling than trapped ions. The latter requires vacuums. There's no proof of those scaling compared to SC. So far that's IBM, Google, and Rigetti. I saw all the IPOs and honestly thought it was too early and just scam exits for old investors. Most are down significantly with low cash, people can find the ones with cash and buy the lottery ticket, but I wouldn't expect anything interesting until 5-10 years.

Mentions:#IBM

Of the pure quantum plays, I like IONQ best because of the trapped ion thing which IMO should be a lot more economically viable and scalable than the superconducting qubit paradigm that RGTI and IBM use on account of the fact that they can operate at room-temperature and don’t require a crazy cooling infrastructure to keep things at 0.4 Kelvin. Not to mention, trapped ion qubits currently have longer coherence times than superconducting qubits. Results aren’t as accurate with trapped ion as they are with SC qubits but for most use cases (the few that we’ve actually identified so far) it should be good enough. That said, the others do have merit and I do keep a little bit of money in them hoping one or two will pan out (except QUTS, I’ve never heard of that one). I don’t think there will be a single winner in this landscape since none of them are perfect. You can pick and choose depending on the requirements of your application. I think IONQ will end up as the most dominant though. The common roadblock for all of them right now though is a) scaling the number of logical qubits available in their systems and b) error correction. All of these companies need to figure those two things out no matter their underlying processing paradigm. IBM isn’t a pure quantum play but they probably have the largest amount of community resources available and thus grassroots following which is super important. They’re actually the ones who have the money to do outreach (Qiskit summer school), RND and develop educational resources for the next gen QC programmers. Not to mention the hardware they’re using is something they invented decades ago but only recently realized that it could be used in QC applications. They’ll probably be the Cadillac of QC—most expensive but most accurate product on the market if they can tackle error correction and coherence times. I’m not sure what the hell is happening with RGTI but they’re like a pure QC-focused IBM (they use superconducting qubits and was actually started by a former IBMer). They seem to be falling behind for some reason though and likely don’t have the resources to fight longer term which is what this field requires. They’ll probably be acquired by IBM before actually making it to the big dance. QBTS is not actually pure QC like the others per se, but more quantum annealing (kind of like an quantum-flavoured optimization paradigm). I don’t know a ton about it but it sounds even less accurate than trapped ion. IIRC it also only works for limited use cases but there are probably enough of them where it’ll work fine that they could be viable alternative. Think using a bike vs. a Lamborghini to get to the corner store a block away. This could be a lower cost alternative to the pure QC paradigms in these cases.

IBM might be a better comparison here.

Mentions:#IBM

Why them instead of RGTI or QBTS or QUTS? I may have fucked up the tickers. I’m starting to research quantum computing companies and those are the 4 (+ IBM) I’m looking at so any insight you got is welcomed

NVDA’s primary driver is AI. IBM was compute. These are fundamentally very different. AI is limited by supply of hardware, power, and water. The largest limiting factor for why data centers are not being built even faster is lack of water and grid capacity. If you think this trend is going to slow down, buy puts.

Mentions:#NVDA#IBM

Wait, so why isn't IBM the top dog? And why don't we worship the Assyrian gods (praise be to them) since obviously they kept growing and took over the planet back in 1500 bc

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NVDA obviously in a very very strong position. Although Google, Amazon, Microsoft are all making specialized chips and could step in and take some market share beyond their own needs. Last decade and the decade before it was Intel the king of chips. If memory serves before that IBM chips were the ones to beat. Even Apple used them. We don't know what the next decade or 2 will hold for computing. Lots of bets on Quantum right now which changes everything. It's what I love about tech!

Mentions:#NVDA#IBM

I've been following IBM since the very first mainframe was built. Competition will never catch up. Some fruit company, Apple? What's that even, you can't compute with Apples! Look, if you think anything's going to overtake our mainframes, you're a maroon. Case dismssed.

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Yup, just like IBM, AT&T, and GE. Wait - what year is it? Are we talking Disney in their prime in the 90s or Current Year Disney slop?

Mentions:#IBM#GE

Nvidia will become IBM in 20 years.

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That's a super interesting one as a combination of universities and IBM, Google and a handful of other companies already have in-house divisions. I am not sure if I would recommend those smaller ones as I have both made and lost a lot investing in them. Dwave etc

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And the internet started in 1983. Google was still a “new entrant” in the dot com bubble era. The only real company that was big and relevant in 1995 tech and is still present is Microsoft. All the other “big players” died. IBM, HP, Sun, etc.

Mentions:#IBM#HP

I don’t honestly know I can only speculate. Yes, IBM and Google are trying to position themselves in Quantum compute. IMHO the GPU domain is now a near monopoly to NVDA, with the exception of TPUs produced by Google and other lesser competitors. GPUs work very well for the current BLAS and Matrix based operations that most of the CNN/LLM and other neural based models use. So in the short to medium term I doubt that’s gonna change. However one of the obvious changes we’ve seen in LLMs and other transformer based models is the explosion of their parameters. In literally one year we saw models become so huge that you now need clusters of very expensive GPUs to train them, and only NVDA is benefiting from this so far. If the pursuit of even larger more complex models persists (all indications point that way) two things are likely to happen: 1. Nvidia is going to keep scaling up its GPUs by adding cores, increasing frequencies and so on, and 2. Another competing technology is going to come along and displace it by doing the same for less money. A few years back, TPUs were that technology but they didn’t seem to deliver. My bet is that Quantum compute will do that in the long term. Wether nvidia will join that or not is a different matter. I wouldn’t be surprised if they started acquiring such companies given their enormous cash flow.

Mentions:#IBM#NVDA

Apple IBM bitcoin.

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> Now, IMHO an AGI is not yet within grasp. It might be fairly soon when quantum computing becomes mainstream. Search and find who develops that technology, that would be my bet into who will achieve it, and who will mostly reap the benefits. I have no background at all, but this was my logical conclusion. You cannot have AGI without quantum computing. Maybe I need to do more research, but it seems like Intel is positioned really well for the 2030's. What are your thoughts on their first quantum chips coming out? Would you say IBM is another company to look out for? I'm pretty curious about this all because it seems like Wall Street is missing a big piece of the puzzle when it comes to AI. The companies that are the AI leaders right now just so happen to have little RnD in quantum, so they unsurprisingly do not tout that technology.

Mentions:#AGI#IBM

Google literally shits the bed as we speak, they have to shake down youtube users to squeeze last profits to show growth, once the chat bots will be able to copy paste responses accurately enough then Google will go down IBM's path.

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IBM’s LLM wrote this

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Was IBM ever on top of that pile?

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IBM has returned a decent amount however that is also due to their chip manufacturing and blockchain. The potential for day to day quantum computing is years out however I think the qubits IonQ is making WILL change the market. Similar to Nvidia’s GPUs. I’m stacking now as IonQ is down recently but I’m planning for this to see actual substantial return in the 2030s. Long term high yield investment

Mentions:#IBM

Unlike others NVDA MSFT AMZN hell even IBM stocks have risen IONQ is down like 50% last 6 months. I have a small position bc of shotgun approach to quantum but I see no immediate catalyst to change things. I will increase my position once/if stock starts performing hopefully your right.

Everyone thought IBM and CSCO were unstoppable at one time too.

Mentions:#IBM#CSCO

It's not different. Just imagine what you would think back in the 90s about IBM and Intel.

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I have zero condemnation. It is just a historical fact that IBM sold machines against an embargo and it is a fact that knew the machines were used for concentration camps. The rest is irrelevant. Especially this silly comparison to excel.

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At this point, I just have to concede that you don't really know anything about the topic and move on. But if you are curious, IBM and the holocaust is a good book.

Mentions:#IBM

I mean yeah? The machines were a means of tabulating records. Excel would have been used for the exact same thing if the tech was available back in the day, and if the Germans didn't have IBM machines then they could have used some other machines or kept the records by hand. It made no difference as to whether additional people would have been killed. If anything, the machines just left clearer records for posterity. Sure the IBM machines made record keeping easier for the Nazis but the culpability of IBM is equal to or less than Microsoft for terrorism in the modern day, especially since a $50 computer running excel is 10000x more capable than any machine IBM made in the 1940s.

Mentions:#IBM

Not even close to the same. IBM was selling the machines to nazi against an American embargo and they knew what they were being used for. But yeah basically excel which anyone can copy anywhere is basically the same thing as shipping large machines to the enemy across the Atlantic to be used to count Jewish deaths.

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IBM for me, lost 15% but now it's looking juicy again.

Mentions:#IBM

I would say look into QQQ it’s the top 100 companies by market cap. If Apple and Microsoft start to fall off into the future like IBM, CISCO the etf will adjust according. I think 100 companies is diverse and you’ll get all the big companies

Mentions:#QQQ#IBM

Agreed except for INTC who can't seem to figure out how to turn their shit around. Them and IBM are dead money for now.

Mentions:#INTC#IBM

Thats what most people use IBM for today though ? Its disgusting but its time the truth comes out. IBM stands for I Break Men , It is the destroyer of worlds.

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IBM made the tabulation machines that helped Germany count the Jewish people in camps if you want some real evil.

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IBM made cards for Nazis which were used to orchestrate the Holocaust.

Mentions:#IBM

That could happen a couple of different ways. Will technology and software stop dominating the economy at some point and be replaced by some other industry? Almost certainly not. Will the current tech megacorps fall from grace and be replaced? It’s possible for some due to IBM-style leadership failures (cough cough *Google*), but it’s hard to imagine the largest company in 20 years not being an existing technology megacorp. They’re too entrenched.

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Not IBM though. But their problems were not bubble related. They would have died no matter what.

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And even if you’re looking at the Dot com bubble- the companies that you would have known to be the big players at the time— not Pets.com but Microsoft, IBM, ARM, Apple, etc, not only survived by massively thrived in the aftermath. Even if NVDA does crash in a bubble, I still would hold it through because I just don’t see the need for chips going anywhere in the long run. Even if ARM or whatever other competitor catches up, i just don’t see NVDA is suddenly dropping out.

Mentions:#IBM#ARM#NVDA

In my mind Nvidia is cheaper computing power in relation to Dell, IBM and other server manufacturers. I have been on the hardware delivery (hauling and delivery) side of things, asked a million stupid questions and the way IBM and others are set up makes them just super expensive, compared with Nvidia. Nvidia rolls out cheaper. This makes more sense. Or like ol’ mate said, look after the pennies and the dollars will look after ‘emselves. So Nvidia is particularly well set up to deal with inexpensive computing power. And a proven concept, starting with bitcoin mining. Did someone say bitcoin mining? Squirrel!

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Tim Apple just can’t innovate. He should run IBM or other tech dinosaurs.

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Intel, the IBM of chip stocks.

Mentions:#IBM

What you're describing are expert systems circa 1950's, but augmented with Internet searching capabilities à la IBM's Jeopardy-playing Watson "AI". Expert systems are not true AI, just pale facsimiles of some the experts they're imitating (think Random Forest). I feel you have another 5-7 decades of progress to catch up on, which if you're a fast reader might take you 10 to 14 years.

Mentions:#IBM