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News on Medial
Successful AI startups can steal data, clean mess later: Schmidt
Inshorts
·
12m ago
Medial
Google's ex-CEO Eric Schmidt said AI startups could potentially replicate existing platforms like TikTok by stealing their data. Successful startups could hire lawyers to "clean up the mess" later, he said, adding, "But if nobody uses your product, it doesn't matter that you stole all the content." "Silicon Valley will run these tests and clean up the mess," he said.
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5 trends in VC funding for pre-seed startups
TechCrunch
·
1y ago
Medial
The fundraising landscape in Silicon Valley has become more challenging, with VCs showing caution and moving downstream to invest in later-stage startups. Data from Dropbox DocSend suggests that the next wave of successful startups will be those that can navigate this skepticism. In 2022, 25% of successful fundraises were completed in six weeks or less, but in 2023, the number dropped to 13%. Early-stage investments have been hit hard, with pre-seed investments being half of what they were in Q2 2023 compared to the previous year. Despite the challenges, founder activity remains high, and structuring pitch decks strategically is important for gaining attention and funding.
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What stage startup offers the best risk-reward tradeoff?
Medial
·
1y ago
Medial
The article discusses the risk-reward tradeoff when joining a startup at different stages. Analyzing 14,000 U.S.-based startups that raised funds in 2014 or 2015, it finds that startups at later stages have higher chances of exiting, but employees joining at earlier stages tend to receive larger equity grants. The data suggests that joining at Series C, followed by Series A and Series B, increases the likelihood of a successful exit. Additionally, startups that exit at over $500 million tend to provide more significant financial rewards and career opportunities. Aligning with top-tier investors can also improve the odds of success.
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Here Come the AI Worms
Wired
·
1y ago
Medial
Researchers have created one of the first generative AI worms, highlighting the potential risks of connected, autonomous AI ecosystems. The worm, named Morris II, can spread from one system to another, potentially stealing data or deploying malware. By exploiting generative AI email assistants, the worm can steal data from emails and send spam messages. The researchers warn that as AI systems become more advanced and capable of completing tasks, developers and companies should be concerned about the security risks posed by generative AI worms. Mitigations include proper secure application design and monitoring, as well as keeping human approval in the loop.
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Quantum AI startup SandboxAQ valued at $5.3 billion after $300 million fundraising
Economic Times
·
7m ago
Medial
AI startup SandboxAQ has received over $300 million in funding, valuing the company at $5.6 billion. The funds will be used to accelerate the development of advanced AI systems, particularly large quantitative models (LQMs) and other applications in industries like healthcare and finance. SandboxAQ's AI technology differs from language models, as it trains on large numerical data. The company plans to build niche modules for enterprise customers and can leverage existing hardware like Nvidia GPUs. SandboxAQ was spun off from Alphabet in 2022, with Eric Schmidt as chairman.
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Sam Altman thinks AI will have 'novel insights' next year
TechCrunch
·
2m ago
Medial
OpenAI CEO Sam Altman predicts AI systems will generate novel insights by 2026, indicating a major leap in AI capabilities. In his essay “The Gentle Singularity,” Altman envisions AI transforming work, energy, and the social contract. Competitors like Google and startups backed by Eric Schmidt also aim to develop AI capable of revolutionary scientific discoveries. However, skepticism exists regarding AI's potential for true originality, an area OpenAI and others continue exploring.
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Unravelling the threat of data poisoning to generative AI
Techradar
·
1y ago
Medial
The rise of generative AI tools is set to become an essential part of everyday work life in 2024. However, this also brings new challenges in cybersecurity, particularly in dealing with data poisoning attacks. Data poisoning occurs when bad actors manipulate training data to compromise the performance and output of AI models. These attacks can be difficult to detect and correct, making it crucial for organizations to implement proactive measures to safeguard their AI systems. This includes ensuring clean and unmanipulated training data, employing statistical methods to detect anomalies, controlling access to data sets, and continuously monitoring model performance.
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Impact of transformative technology/AI on ensuring clean drinking water in 2024
Startup News FYI
·
1y ago
Medial
Artificial intelligence (AI) is emerging as a game-changer in addressing water scarcity and ensuring clean drinking water worldwide. AI's data-driven approach and advanced technology can identify contaminants, predict potential contamination, monitor water quality, optimize effluent management, improve water treatment methods, provide real-time surveillance, prevent leakage, and optimize water usage. By integrating AI into water management, we can make significant progress in combating water challenges and achieving more sustainable and efficient water resource governance.
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Why Startups Fail | Lessons From 150 Founders
Internet
·
3m ago
Medial
Wilbur Labs surveyed over 150 startup founders to understand why startups fail and how to prevent it. Analyzing both survey results and CB Insights data, the study aims to provide data-driven answers amidst economic challenges like inflation and investment retraction. While new business formation remains high, nearly a fifth of startups shut down in their first year. The goal is to help would-be founders focus on what they can control, learn from others' mistakes, solve significant problems, and ultimately improve their chances of success. Go to the source and read now! Or save for later.
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Unstructured, which offers tools to prep enterprise data for LLMs, raises $25M
TechCrunch
·
2y ago
Medial
Unstructured.io, a startup founded by Brian Raymond, Matt Robinson, and Crag Wolfe in 2022, aims to ease the adoption of large language models (LLMs) by enterprises and has raised $25M for the same. Many businesses hesitate to use LLMs due to the challenges in accessing first-party and proprietary data behind firewalls. Unstructured.io offers a platform that extracts and stages enterprise data in a format that LLMs can understand, addressing the data processing bottleneck in AI development workflows. They provide various tools to clean and transform data, enabling organizations to leverage unstructured data effectively with LLMs.
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How one YouTuber is trying to poison the AI bots stealing her content
Arstechnica
·
6m ago
Medial
A YouTuber named F4mi is combating AI bots that steal content by embedding invisible junk data in her video transcripts. Utilizing the .ass subtitle format, she inserts AI-confounding text, undetectable to the human viewer, to confuse AI summarizers. Although not entirely foolproof, this method aims to deter AI channels exploiting original content. Despite challenges like compatibility on mobile platforms, F4mi's tactics are part of a broader movement against unauthorized AI content scraping on YouTube.
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