Skip to content
I T S S
  • Welcome
  • Hardware
  • Internet
  • Networking
  • Security
  • Data Recovery
  • Support
  • Contact
  • Webmail

A Nice Little Cryptography Primer

By itss | 28/06/2021
0 Comment

Pun Intended.

Category: Technology
Post navigation
← pfSense / Wireguard / Bad Code / Close Call Why Quake3 was so fast : Fast Inverse Square Root →

Recent Posts

  • Hardware Exploits?
  • Why Quake3 was so fast : Fast Inverse Square Root
  • A Nice Little Cryptography Primer
  • pfSense / Wireguard / Bad Code / Close Call
  • Apple Continues Its Trip To The Dark Side With The Release of MacOS 17 (Big Sur)

Slashdot

News for nerds

  • OpenAI Fires an Employee For Prediction Market Insider Trading
    by BeauHD on 28/02/2026 at 3:30 am

    An anonymous reader quotes a report from Wired: OpenAI has fired an employee following an investigation into their activity on prediction market platforms including Polymarket, WIRED has learned. OpenAI CEO of Applications, Fidji Simo, disclosed the termination in an internal message to employees earlier this year. The employee, she said, "used confidential OpenAI information in connection with external prediction markets (e.g. Polymarket)." "Our policies prohibit employees from using confidential OpenAI information for personal gain, including in prediction markets," says spokesperson Kayla Wood. OpenAI has not revealed the name of the employee or the specifics of their trades. Evidence suggests that this was not an isolated event. Polymarket runs on the Polygon blockchain network, so its trading ledger is pseudonymous but traceable. According to an analysis by the financial data platform Unusual Whales, there have been clusters of activities, which the service flagged as suspicious, around OpenAI-themed events since March 2023. Unusual Whales flagged 77 positions in 60 wallet addresses as suspected insider trades, looking at the age of the account, trading history, and significance of investment, among other factors. Suspicious trades hinged on the release dates of products like Sora, GPT-5, and the ChatGPT Browser, as well as CEO Sam Altman's employment status. In November 2023, two days after Altman was dramatically ousted from the company, a new wallet placed a significant bet that he would return, netting over $16,000 in profits. The account never placed another bet. The behavior fits into patterns typical of insider trades. "The tell is the clustering. In the 40 hours before OpenAI launched its browser, 13 brand-new wallets with zero trading history appeared on the site for the first time to collectively bet $309,486 on the right outcome," says Unusual Whales CEO Matt Saincome. "When you see that many fresh wallets making the same bet at the same time, it raises a real question about whether the secret is getting out." [...] Though this is the first confirmed case of a large technology company firing an employee over trades in prediction markets, it's almost certainly not the last. Opportunities for tech sector employees to make trades on markets abound. "The data tells me this is happening all over the place," Saincome says. Read more of this story at Slashdot.

  • Human Brain Cells On a Chip Learned To Play Doom In a Week
    by BeauHD on 28/02/2026 at 2:02 am

    Researchers at Cortical Labs used living human neurons grown on a chip to learn how to play Doom in about a week. "While its performance is not up to par with humans, experts say it brings biological computers a step closer to useful real-world applications, like controlling robot arms," reports New Scientist. From the report: In 2021, the Australian company Cortical Labs used its neuron-powered computer chips to play Pong. The chips consisted of clumps of more than 800,000 living brain cells grown on top of microelectrode arrays that can both send and receive electrical signals. Researchers had to carefully train the chips to control the paddles on either side of the screen. Now, Cortical Labs has developed an interface that makes it easier to program these chips using the popular programming language Python. An independent developer, Sean Cole, then used Python to teach the chips to play Doom, which he did in around a week. "Unlike the Pong work that we did a few years ago, which represented years of painstaking scientific effort, this demonstration has been done in a matter of days by someone who previously had relatively little expertise working directly with biology," says Brett Kagan of Cortical Labs. "It's this accessibility and this flexibility that makes it truly exciting." The neuronal computer chip, which used about a quarter as many neurons as the Pong demonstration, played Doom better than a randomly firing player, but far below the performance of the best human players. However, it learnt much faster than traditional, silicon-based machine learning systems and should be able to improve its performance with newer learning algorithms, says Kagan. However, it's not useful to compare the chips with human brains, he says. "Yes, it's alive, and yes, it's biological, but really what it is being used as is a material that can process information in very special ways that we can't recreate in silicon." Cortical Labs posted a YouTube video showing its CL1 biological computer running Doom. There's also source code available on GitHub, with additional details in a README file. Read more of this story at Slashdot.

  • Hyperion Author Dan Simmons Dies From Stroke At 77
    by BeauHD on 28/02/2026 at 1:25 am

    Author Dan Simmons, best known for the epic sci-fi novel Hyperion and its sequels, has died at 77 following a stroke. Ars Technica's Eric Berger remembers Simmons, writing: Simmons, who worked in elementary education before becoming an author in the 1980s, produced a broad portfolio of writing that spanned several genres, including horror fiction, historical fiction, and science fiction. Often, his books included elements of all of these. This obituary will focus on what is generally considered his greatest work, and what I believe is possibly the greatest science fiction novel of all time, Hyperion. Published in 1989, Hyperion is set in a far-flung future in which human settlement spans hundreds of planets. The novel feels both familiar, in that its structure follows Chaucer's Canterbury Tales, and utterly unfamiliar in its strange, far-flung setting. Simmons' Hyperion appeared in an Ask Slashdot story back in 2008, when Slashdot reader willyhill asked for tips on how Slashdotters track down great sci-fi. If you're in the mood for a little nostalgia, or just want to browse the thread for book recommendations, it's well worth revisiting. Read more of this story at Slashdot.

  • CISA Replaces Bumbling Acting Director After a Year
    by BeauHD on 28/02/2026 at 12:45 am

    New submitter DeanonymizedCoward shares a report from TechCrunch: The U.S. Cybersecurity and Infrastructure Security Agency (CISA) is reportedly in crisis following major budget cuts, layoffs, and furloughs under the Trump administration, says TechCrunch. The agency has now replaced its acting director, Madhu Gottumukkala, after a turbulent year marked by controversy and internal turmoil. During his tenure, Gottumukkala allegedly mishandled sensitive information by uploading government documents to ChatGPT, oversaw a one-third reduction in staff, and reportedly failed a counterintelligence polygraph needed for classified access. His leadership also saw the suspension of several senior officials, including CISA's chief security officer. Nextgov also reported that CISA lost another top senior official, Bob Costello, the agency's chief information officer tasked with overseeing the agency's IT systems and data policies. "Last month, CISA's acting director Madhu Gottumukkala reportedly took steps to transfer Costello, but other political appointees blocked it," added Nextgov. Read more of this story at Slashdot.

  • Perplexity Announces 'Computer,' an AI Agent That Assigns Work To Other AI Agents
    by BeauHD on 28/02/2026 at 12:02 am

    joshuark shares a report from Ars Technica: Perplexity has introduced "Computer," a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models. The company claims that Computer, currently available to Perplexity Max subscribers, is "a system that creates and executes entire workflows" and "capable of running for hours or even months." The idea is that the user describes a specific outcome -- something like "plan and execute a local digital marketing campaign for my restaurant" or "build me an Android app that helps me do a specific kind of research for my job." Computer then ideates subtasks and assigns them to multiple agents as needed, running the models Perplexity deems best for those tasks. The core reasoning engine currently runs Anthropic's Claude Opus 4.6, while Gemini is used for deep research, Nano Banana for image generation, Veo 3.1 for video production, Grok for lightweight tasks where speed is a consideration, and ChatGPT 5.2 for "long-context recall and wide search." This kind of best-model-for-the-task approach differs from some competing products like Claude Cowork, which only uses Anthropic's models. All this happens in the cloud, with prebuilt integrations. "Every task runs in an isolated compute environment with access to a real filesystem, a real browser, and real tool integrations," Perplexity says. The idea is partly that this workflow was what some power users were already doing, and this aims to make that possible for a wider range of people who don't want to deal with all that setup. People were already using multiple models and tailoring them to specific tasks based on perceived capabilities, while, for example, using MCP (Model Context Protocol) to give those models access to data and applications on their local machines. Perplexity Computer takes a different approach, but the goal is the same: have AI agents running tailor-picked models to perform tasks involving your own files, services, and applications. Then there is OpenClaw, which you could perceive as the immediate predecessor to this concept. Read more of this story at Slashdot.

  • South Korea Set To Get a Fully Functioning Google Maps
    by BeauHD on 27/02/2026 at 11:20 pm

    South Korea has reversed a two-decade policy and approved the export of high-precision map data, paving the way for a fully functional Google Maps in the country. Reuters reports: The approval was made "on the condition that strict security requirements are met," the Ministry of Land, Infrastructure and Transport said in a statement. Those conditions include blurring military and other sensitive security-related facilities, as well as restricting longitude and latitude coordinates for South Korean territory on products such as Google Maps and Google Earth, it said. The decision is expected to hurt Naver and Kakao -- local internet giants which currently dominate the country's market for digital map services. But it will appease Washington, which has urged Seoul to tackle what it says is discrimination against U.S. tech companies. South Korea, still technically at war with North Korea, had shot down Google's previous bids in 2007 and 2016 to be allowed to export the data, citing the risks that information about sensitive military and security facilities could be exposed. "Google can now come in, slash usage fees, and take the market," said Choi Jin-mu, a geography professor at Kyung Hee University. "If Naver and Kakao are weakened or pushed out and Google later raises prices, that becomes a monopoly. Then, even companies that rely on map services -- logistics firms, for example -- become dependent, and in the long run, even government GIS (geographic information) systems could end up dependent on Google or Apple. That's the biggest concern." Read more of this story at Slashdot.

Archives

  • September 2022
  • November 2021
  • June 2021
  • March 2021
  • November 2020
  • October 2020
  • September 2020
  • February 2020
  • January 2020
  • October 2019
  • August 2018
  • July 2018
  • April 2018
  • February 2018
  • January 2018
  • December 2017
  • October 2017
  • September 2017
  • August 2016
  • July 2016
  • March 2016
  • February 2016
  • August 2015
  • May 2015

Categories

  • Innovation
  • Security
  • Software
  • Technology

Tags

backdoor cisco coding json laziness patterns public information announcement security vulnerability
© 2017 IT Sales & Services Ltd
Quality IT solutions in Tanzania since 2010
Iconic One Theme | Powered by Wordpress