nerd

07 Jul 2026

07 Jul 2026 7:00am GMT

Slashdot

GitHub Thumbs Nose At Sony's Controversial End to Physical Media With Its Introduction of Repo CDs

GitHub is offering a limited run of 1,000 CD-ROM copies of public repositories as a pro-physical-media jab at Sony's plan to stop producing PlayStation game discs in 2028. Tom's Hardware reports: The coding and collaboration platform, owned by Microsoft, states that "In light of recent developments in physical media, GitHub is proud to announce that you can now obtain your public repo on CD-ROM." Moreover, it appeals to the human side of computing, adding the emotive line "Keep it. Lend it to friends. Pass it on to your children." It isn't April 1st, so thankfully this is no joke. However, if you check out the above-linked GitHub Your Code, On a CD offer page, it quickly becomes clear this is a very limited in time/scope stunt. "Order a burned CD of your own public GitHub repo. Yes, a real physical disc you can hold in your hands, no download required," begins the spiel. But this is a very limited run of 1,000 discs, with applications required between July 2 and July 6 (inclusive). Limit one per person, with availability varying between country/region. "Your code is physically yours, forever. Until you lose it, let's be real," says GitHub. At best, these CDs will be framed and put on a wall, some becoming collector's items or eBay money spinners (discs like 0001 or 0888 would be good ones, if they are numbered). Also, many will be lost or eventually/accidentally discarded, as GitHub seems to know. So this 'protest' is arguably 1,000 doses of expensively shipped e-waste.

Research Universities Are Admitting Fewer PhDs, a Bad Sign For Science

An anonymous reader quotes a report from the New York Times: The number of students admitted to Ph.D. programs this fall dropped 15 percent from the previous year, according to data from over 50 top research universities, raising fears that the nation's capacity to produce new science could be diminished. The decline is driven, in part, by a chaotic and unpredictable federal funding environment under the Trump administration, as federal cuts are promised and then reversed, and budgets remain unclear. A reduction in doctoral students could mean fewer scholars at universities to teach and mentor undergraduates. Higher education leaders also worry that, if the declines continue, there will be fewer researchers to power a rapidly evolving scientific work force. The data showing the decrease comes from 55 universities, all of them members of the Association of American Universities, an invitation-only organization that includes 69 of the most prestigious research institutions in the United States. The data collection was conducted by another group, the Association of American Universities Data Exchange. Schools in A.A.U. confer half of the nation's research doctorates, according to the association. "We are at risk of losing a whole generation of new talent because of the reduction in the capacity to support those students," said Toby Smith, a senior vice president at the A.A.U. University leaders and research advocates cite many reasons for the declines in new doctoral students. Key federal agencies, such as the National Institutes of Health and the National Science Foundation, have been funding fewer research grants. The wealthiest institutions also face a new federal tax on their endowments. But the most cited reason in interviews was the unreliable nature of federal funding under the Trump administration. The administration proposed major cuts to federal research agencies last year, but Congress restored the funding. It is again proposing big cuts. While Congress may again reverse the administration's proposed reductions, the uncertainty makes it hard for schools to make multiyear commitments to doctoral students. The administration also abruptly ended thousands of research grants last year, arguing that they did not align with the government's priorities. The administration restored many of the grants after judges deemed the eliminations illegal and arbitrary, but research advocates say the whiplash was damaging.

Hacker News

How to sequence your own DNA at home

Comments

07 Jul 2026 12:14am GMT

06 Jul 2026

Hacker News

Small AI Models Gain Traction In places with unreliable networks

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06 Jul 2026 11:59pm GMT

Slashdot

Small AI Models Gain Traction Around the World

locater16 shares a report from IEEE Spectrum: One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup's AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year. The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item's molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile -- or reports that it's phony. Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge's native Nigeria. But that morning in South Africa, it didn't work. "I was shocked," Alonge says... So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo. More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of "small AI." "The article goes on to detail other immediately useful 'small' AI applications without any subscription or billion dollar data centers needed," writes locator16. For example, Bala Murugan and colleagues at Vellore Institute of Technology in India developed a drone-based system that photographs cashew plants and identifies disease-indicating splotches on the plants. The key advantage is that all processing happens on the drone itself, so farmers do not need a computer, broadband connection, or cloud server access. In a Uruguayan vineyard, researchers developed small-AI systems to identify ant infestations. The article doesn't go deep into the deployment details, but it presents this as another example of a narrow, localized model trained to recognize a specific agricultural threat. Small AI has also been used to detect the presence of malaria-carrying mosquitoes in multiple countries. This is especially useful in regions where public-health teams may lack reliable network access or expensive lab infrastructure, but still need fast, local detection. In parts of Brazil without access to more complex medical equipment, researchers have used small AI to run electrocardiograms from an Arduino device. The article also describes Marcelo Jose Rovai's work on a TinyML model that generates electrocardiograms in a patient simulator lab. Rovai also describes a newer experiment using an Arduino UNO Q with a Qualcomm chipset. The device runs a language model locally, collects sensor data, and analyzes it to detect tiny pools of water where mosquitoes might breed -- while using only about 3 watts of power.