OpenAI’s GPT-6.1 Terra cuts standard API token prices by 50%. Explore its automation capabilities, availability and what IT teams should test before adoption.
The post OpenAI’s GPT-6.1 Terra Targets Workplace Automation at Lower Cost appeared first on TechRepublic.
OpenAI’s GPT-6.1 Terra cuts standard API token prices by 50%. Explore its automation capabilities, availability and what IT teams should test before adoption.
The post OpenAI’s GPT-6.1 Terra Targets Workplace Automation at Lower Cost appeared first on TechRepublic.
Blue Initiative indexes nearly 30,000 IT and OT vulnerabilities relevant to ships and ports, 37 of them in maritime-specific products.
The post Maritime Coalition Launches Free Vulnerability Database for Ship and Port Systems appeared first on SecurityWeek.
Explore Galaxy Tab S12 Ultra features and pricing, from DeX and Galaxy AI to accessories, with buying advice to help you choose the right configuration.
The post Samsung Galaxy Tab S12 Ultra Cheat Sheet: What to Know Before You Buy appeared first on TechRepublic.
Explore Galaxy Tab S12 Ultra features and pricing, from DeX and Galaxy AI to accessories, with buying advice to help you choose the right configuration.
The post Samsung Galaxy Tab S12 Ultra Cheat Sheet: What to Know Before You Buy appeared first on TechRepublic.
The Prusa Core One+ INDX is an interesting upgrade to the base FDM printer by Prusa, featuring eight independent extruders – hence the INDX – that in theory should allow for multi-material and multi-color printing with very little purge waste. As [Thomas Sanladerer] found out during his experiences with this printer, there are a lot of issues with this machine, including the ability – or lack thereof – to print with non-Prusa filament.
Although the premise is solid, with a claimed 0.013 grams of purge waste per color or material change along with pretty nice dual-gear Bondtech extruders, the first major hurdle that [Thomas] encountered was that the mandatory calibration sequence on starting a print is designed to only work with Prusa’s own filament and its specific material properties. This resulted in an inability to print with Voxel PLA until [Thomas] removed this sequence manually from the g-code.
This is when [Thomas] found out that the entire print sequence uses the material presets for Prusa’s filament, resulting in a failed print. The results from the manual calibration are also not saved despite the display claiming it does, making this calibration on starting a print absolutely mandatory.
Other issues found are the useless position of the camera as it’s now blocked-off by the INDX hardware, with even manual peeking into the print chamber being heavily obscured by the contraption that holds the extruders. This makes even checking that filament has loaded correctly is borderline impossible, never mind ogling the printing process.
Although there’s a lot to like about this INDX upgrade to the Core One+, the above and other issues discussed in the video make it look somewhat shaky next to competitors like the Bambu Lab H2C and Snapmaker U1, as well as Prusa’s own XL toolchanger printers. During [Thomas]’s print test comparison between the XL and the Core One+ INDX there was no contest that the XL simply works, whereas the INDX even struggles with some Prusa filaments.
Ukrainian drone strikes have knocked out two of five data centers belonging to the Russian tech giant Yandex. The damage has left Yandex, known as “Russia’s Google” because it operates the country’s most popular search engine, struggling to maintain its AI chatbot and other online services.
The Ukrainian drones struck Yandex data centers in the Sasovo and Kaluga regions of Russia on October 8 and October 9, according to Reuters. Those actions came as a direct response to a Russian drone strike campaign targeting Ukraine’s data centers, which has disrupted mobile phone and Internet services for thousands of Ukrainians since late September.
“We continue to respond to Russia’s attacks on Ukraine, and we’re doing so with high precision,” said Ukrainian President Volodymyr Zelenskyy in a post on X. “Another data center was hit as well—our symmetrical response.”
© Planet Labs PBC
Repurposing old smartphones for more general purpose computing isn’t a new thing, but the project by [LastComputer] ups the ante by going from a Samsung Galaxy S23 that looks like it got run over by at least a few cars to a very serviceable gaming computer, courtesy of its Snapdragon 8 Gen 2 SoC.
The somehow still working but definitely worse for wear phone was purchased for 1,700 Ukrainian Hryvnia (~$40). It being SIM locked also helped reduce the price, even if someone had somehow wanted to use it again as a phone. Since the SoC inside is also used in quite capable gaming handhelds, but with good cooling, that would be a real waste.
Converting it into proper gaming system requires some careful disassembly, some gentle whacking with a hammer to straighten out the frame and a new battery as the mainboard won’t work without one installed.
A 3D-printed phone case glued to an SSD cage for the 512 GB SSD serves as the enclosure, along with two USB hubs, one of which also provides HDMI output. For the active cooling system a heatsink was hot-glued to the vapor chamber with a properly sized fan mounted to it. Here we could definitely see some zip ties being added to prevent it from falling off.
Compared to running the phone in its stock cooling configuration this shaves off about seven degrees C, with thermal throttling noticeably reduced. This consequently provides a much better desktop experience in Samsung’s DeX (Desktop eXperience) desktop mode, which is what’s used for running applications and games.
Running God of War as an emulated PS2 game works pretty well, as does running games with the Dolphin emulator and the GameHub app using which PC games on Steam, GoG and others can be run. Although you can also install other OSes on the phone hardware, Samsung DeX doesn’t appear to be a bad option if you happen to repurpose a high-end Samsung phone that supports this mode.
The supposedly volatile asset is looking unusually calm while the bond market gets nervous.
U.S. Treasury volatility has risen sharply, with the MOVE index climbing from around 80 earlier in the week to approximately 104.
That is its highest reading since March.
Bitcoin options traders, by comparison, are pricing much less turbulence.
Volmex’s 30-day Bitcoin implied volatility index, BVIV, has been hovering around 37.
Its 2026 low is approximately 35.
The Cboe VIX, which measures expected volatility in the S&P 500, is also close to its yearly lows around 14.
Those readings create an unusual divergence.
Government bonds are generally treated as one of the safest and most liquid corners of global finance.
Bitcoin is normally expected to produce much larger price swings.
Right now, traders are paying considerably more for protection against changes in Treasury-market conditions while Bitcoin’s expected volatility remains subdued by its own historical standards.
Bond markets have been dealing with a difficult combination of inflation concerns, higher energy prices and uncertainty around the path of interest rates.
The U.S. 10-year Treasury yield briefly touched about 5.2% before easing slightly.
Normally, a rapid tightening in financial conditions can spill into risk assets.
Higher yields increase the return available on government debt and raise financing costs throughout the economy.
Bitcoin has certainly not ignored the bond market.
Its rally stalled this week as yields climbed.
But the options market is not currently pricing the kind of violent BTC swings that might normally accompany major macro uncertainty.
The relationship between the two volatility markets has also weakened.
Recent correlations between MOVE and both stock and Bitcoin volatility have turned negative or close to zero.
That does not mean Bitcoin has become a safe asset.
Nor does it mean bond-market stress cannot eventually spill into crypto.
It simply means traders in the two markets are currently pricing very different levels of uncertainty.
Bitcoin spent years being the obvious volatility trade.
For the moment, the bigger nerves are showing up in Treasuries.
This article was written by the News Desk and edited by Samuel Rae.
Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already. And that’s only what we’ve caught so far.
Freaking out? You’re not alone. AI lab researchers are quitting their jobs and issuing dire warnings that if we keep going this way, AI might eventually kill us all. Bill Gates is sounding the alarm. Bernie Sanders has teamed up with Steve Bannon, of all people, to call for curbs on AI. Anthropic CEO Dario Amodei is urging a slowdown, and other top US AI executives agree. But fear not: President Trump has a plan. He says the only guardrail AI needs is “a STRONG AND SMART (High IQ!) PRESIDENT.”
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