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  • Exports pulled down 2024 paper recycling rate: AF&PA

    Exports pulled down 2024 paper recycling rate: AF&PA

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    Paper and cardboard recycling rates fell in the United States last year, and export volumes are to blame, according to the American Forest & Paper Association’s annual industry data released Tuesday.

    The association shows the 2024 paper recycling rate was 60%-64%, compared with 65%-69% in 2023. The cardboard recycling rate in 2024 was 69%-74%, compared with 71%-76% the previous year.

    Approximately 46 million tons of paper were recycled last year, roughly flat with the information AF&PA released for 2023. But the group says U.S. mills in 2024 used 1.29 million more tons of recycled paper to make new products.

    “We recycle 60% more paper today than we did in 1990 when we set our first recycling rate goal,” said Terry Webber, AF&PA’s vice president of industry affairs, during a Tuesday webinar.

    In addition, the share of recycled material compared to all fiber consumed at mills has steadily increased over the last 20 years, reaching 44.4% in 2024, according to AF&PA. 

    Although mills consumed more recycled paper, Webber said the U.S. exported less of it, mainly due to softer demand from Asia. The decline in exports across all recycled fiber categories is what led to decreases in 2024’s paper and OCC recycling rates, he said in an Aug. 12 email to Packaging Dive. Like other globally traded commodities, recycled paper is sensitive to trade flows, he added.

    In 2024, about 27% of recycled paper was exported, but exports have been declining in recent years, according to Webber. “However, we’re seeing a long-term positive trend in the use of recycled paper at U.S. mills, which offsets global exports,” he said via email.

    Last year, AF&PA changed the methodology it uses to calculate and report industry recycling rates, switching from sole numbers to percentage ranges. The revamp also resulted in the 2023 OCC recycling rate, 71%-76%, appearing notably lower than 2022’s 93.6%.

    The methodology change followed a controversy in recent years as industry observers raised questions about recycling rates that appeared too high. AF&PA first introduced an “effective recycling rate” in 2023 in addition to its traditional rate, and last year made the switch to just the new calculation.

    “We strongly believe this method of calculation continues to result in the most thorough and fact-based recycling rate possible with currently available data,” Webber said during the webinar. 

    The new methodology includes recycled fiber imports, such as cardboard boxes and writing paper, he said via email. Net containers entering the U.S. with goods in paper-based packaging increased 13.5% in 2024, which increased the amount of paper available for recycling, according to AF&PA.

    “Paper recycling is, and continues to be, a success story,” Webber said during the webinar. “We are committed to even more progress.”

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  • Aviation insurance market overview H1 2025

    Aviation insurance market overview H1 2025

    The first half of 2025 has brought geopolitical tensions, rising costs, and shifting capacity challenges to the aviation market.

    Despite ongoing challenges, the aviation insurance market remains resilient, supported by abundant capacity and disciplined underwriting.

    Use the Aviation insurance market overview H1 2025 to:
    • Understand the major market trends shaping premiums and capacity.
    • Identify risks and opportunities that may impact your operations.
    • Gain practical insights into loss trends, capacity forecasts, and the impact of recent legal rulings.
    • Stay ahead of legal, regulatory, and geopolitical developments influencing the market.

    Download the report now and equip your organization with the knowledge to navigate the complex and rapidly changing landscape.

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  • The geologic history of marine dissolved organic carbon from iron oxides

    The geologic history of marine dissolved organic carbon from iron oxides

    Preparation of DOC for co-precipitation experiments

    Modern-marine analogue DOC

    Performing our co-precipitation experiments with modern marine DOC would require the collection of unreasonable water volumes (several thousand litres at typical surface ocean DOC concentrations). We, therefore, instead used large-batch microcosm cultures containing a mixture of marine primary producers and heterotrophic bacteria to generate modern-marine analogue DOC (termed M-DOC). Two diatom strains, Phaeodactylum tricornutum CCMP2561 and Thalassiosira pseudonana CCMP3367 (Bigelow NCMA), were allowed to grow for 4 days in 2 × 300 ml of L1 medium (Bigelow NCMA) placed in an AlgaeTron growth chamber. These cultures were then mixed in a 1:1 ratio, diluted into 2 × 20 l carboys filled with L1 medium and further grown at 14 °C with a light–dark cycle of 12–12 h. The cultures were stirred with a magnet bar (300 rpm) and sparged with filter-sterilized laboratory air for the entire duration. Five days post inoculation, 1 ml of a mixture of 96 uncharacterized isolated marine bacterial strains (provided by the Cordero Laboratory, MIT) was added to each culture. The cultures were grown for an additional 17 days (for a total of 26 days), reaching late stationary phase. The biomass was harvested by centrifugation at 7,000 RCF (relative centrifugal force) for 10 min at 14 °C (Eppendorf, CR30NX) and stored at −20 °C until further use. The total biomass yield was  about 2 mg ml−1 (wet weight). The biomass was then thawed, diluted into 18 M Ω cm−1 double-distilled water (Milli-Q; termed DDW) and sonicated using a sonicator probe (Hielscher Ultrasonics) to lyse cells and release dissolved compounds. The lysed biomass was then centrifuged at 7,000 RCF for 10 min at 14 °C and filtered through a 0.2-μm polyether sulfone filter (PES; MilliporeSigma). The filtered solution was evaporated using a rotary evaporator at 40 °C under vacuum to yield dry DOC. Finally, the dried DOC was stored in an anoxic chamber until further use.

    Cyanobacterial DOC

    Anoxically dried Arthrospira platensis and Arthrospira maxima powders (BioSamara GmbH, Nu3) were processed in an agate ball mill to obtain particle sizes smaller than 20 μm and were subsequently sieved and combined. The powders were then mixed with DDW at a concentration of 1 g l−1 to generate a large-batch cyanobacteria DOC solution (termed C-DOC). This solution was shaken for 48 h on a bottle shaker at 100 rpm and was then centrifuged, filtered, dried and stored exactly as described for modern-marine analogue DOC, above. The product composition and purity were assured by the manufacturers; no supplementary validation was undertaken.

    Fulvic acid

    Similar to cyanobacterial DOC, commercially purchased (Mark Nature) fulvic acid powder was processed in an agate ball mill to obtain particle sizes smaller than 20 μm and was subsequently sieved. The powder purity was confirmed by Fourier transform infrared spectroscopy (FTIR). The powder was then mixed with DDW at a concentration of 1 g l−1 to generate a large-batch fulvic acid DOC solution (termed FA). This solution was shaken for 48 h on a bottle shaker at 100 rpm and was then centrifuged, filtered, dried and stored exactly as described for modern-marine analogue DOC, above.

    Characterization of DOC for co-precipitation experiments

    We used absorbance and fluorescence spectroscopy to understand the molecular compositions of DOC involved in our co-precipitation experiments. Fluorescence excitation-emission matrices (EEMs) were acquired using a Horiba Scientific Aqualog spectrometer (Horiba) with a 1-cm cuvette at room temperature. The EEMs spanned excitation wavelengths from 250 nm to 500 nm at intervals of 5 nm and emission wavelengths from 300 nm to 600 nm at intervals of 2 nm. The integration times ranged from 0.5 s to 5 s. To refine resulting EEMs, three corrections were implemented following standard practice: (1) a lamp intensity correction60; (2) adjustments for inner filter effects61; and (3) normalization to Raman units (RU), defined as the measure of Raman scattering intensity in the sample62.

    Fluorescent dissolved organic matter (FDOM) content in RU was determined by summing the maximum intensities of fluorescent peaks, including peak A (Ex: 250 nm, Em: 450 nm), peak B (Ex: 270 nm, Em: 304 nm), peak C (Ex: 350 nm, Em: 450 nm), peak M (Ex: 320 nm, Em: 411 nm) and peak T (Ex: 290 nm, Em: 349 nm) (refs. 63,64). Relative contributions of each peak were defined as the ratio of the intensity of a given peak to the total FDOM content. Several absorbance and fluorescence metrics were also identified and used here. First, the fluorescence index (FI) was derived from the emission intensities at 470 nm and 520 nm on excitation at 370 nm (refs. 65,66). Second, the specific UV absorbance at 254 nm (SUVA254) was calculated as the absorbance at 254 nm divided by the total DOC concentration in solution67. Third, spectral slopes were ascertained by fitting absorption data to the equation

    $${a}_{lambda }={a}_{{lambda }_{{rm{ref}}}}{{rm{e}}}^{-S(lambda -{lambda }_{{rm{ref}}})},$$

    (1)

    where aλ is the absorption at wavelength λ, λref is a reference wavelength and S is the spectral slope; slopes were determined over two wavelength ranges: 275–295 nm (S275−295) and 350–400 nm (S350−400) (ref. 40). Finally, slope ratios were calculated as SR = S275−295/S350−400 (ref. 40).

    Iron (oxyhydr)oxide-DOC co-precipitation experiments

    General steps relevant to all syntheses

    An iron (oxyhydr)oxide synthesis protocol was developed to understand the loading responses of co-precipitated Fe-OC to (1) crystalline iron (oxyhydr)oxide mineralogy (that is, goethite compared with haematite) and synthesis pH; (2) timing of DOC introduction (that is, before or after precursor synthesis); and (3) DOC molecular composition. Specific synthesis protocols are detailed below, and additional synthesis tests (for example, as a function of temperature, duration, dissolved silica concentration, Fe(III) source, absolute Fe(III) and DOC concentrations) are described in the Supplementary Discussion. Broadly, all syntheses involved the addition of Fe(III)-bearing salts [Fe(NO3)3 9H2O or FeCl3 6H2O] to an (anaerobic when necessary) parent solution, followed by pH adjustment to form the poorly crystalline precursor ferrihydrite. To generate crystalline phases, ferrihydrite was then rinsed, pH was adjusted and solutions were allowed to ripen to goethite or haematite depending on the recipe.

    In the protocol descriptions below, we designate the timing of DOC addition with ‘+DOC; x’, where x = ‘pre’ for pre-ferrihydrite DOC addition or x = ‘post’ for post-ferrihydrite DOC addition. Furthermore, to understand whether co-precipitated Fe-OC responds to absolute DOC concentrations or to DOC/Fe(III) ratios, we performed two sets of experiments in which we independently adjusted initial parent-solution DOC or dissolved iron concentrations (while holding the other constant) for all synthesis protocols. Importantly, reagent masses appearing below pertain to the standard concentrations for each type of synthesis. These masses were adjusted accordingly to achieve the desired DOC/Fe(III) ratios. A list of all concentrations used for each experiment is reported in the Supplementary Data.

    Goethite syntheses

    Acidic goethite synthesis

    Goethite was formed in an acidic solution using a modified version of the approach developed in ref. 68. First, 101.071 g of reagent-grade Fe(NO3)3 9H2O (Sigma-Aldrich) was dissolved into 250 ml of trace-metal grade 1 M HCl (Sigma-Aldrich) in DDW to form a base solution, which was diluted to a total volume of 500 ml by adding 250 ml of DDW (+DOC; pre). Then, 250 ml of 2 M reagent-grade NaOH (Sigma-Aldrich) was added while maintaining vigorous stirring to increase the pH to  about 1.5 and facilitate the formation of a stable brown sol of ferrihydrite. The bottles were then sealed, and ferrihydrite (+DOC; post) was allowed to ripen to goethite, which would typically commence after about 50 days following the procedure described in ref. 68 (that is, at room temperature). To expedite this transformation, we transferred the reaction mixture to an oven held at 50 °C and allowed it to age for 5 days. After ageing, goethite products were centrifuged, rinsed at least three times with DDW to remove excess –OH, dried at 60 °C and stored until further analysis.

    Circumneutral goethite synthesis

    First, 2-line ferrihydrite was prepared by dissolving 8.0 g of Fe(NO3)3 9H2O in 100 ml of DDW (+DOC; pre) followed by adjusting the solution pH to 7 by adding 1 M NaOH (ref. 42). The solution was vigorously stirred to ensure complete precipitation. Fresh ferrihydrite precipitates underwent a series of rinsing and washing cycles using deaerated DDW (that is, purged with 99.99% pure N2; PanGas). Ferrihydrite was then purged with N2 gas for 2 h to remove any O2 present in solution. The deaerated suspension was transferred to an anaerobic glovebox (O2 < 1ppm; Coy Laboratory Products), where ferrihydrite was aliquoted into glass bottles. Reagent-grade Fe(NH4)2(SO4)2 6H2O (Sigma-Aldrich) was dissolved in a deaerated solution and titrated to pH 7 using deaerated 0.5 M NaOH. This solution (+DOC; post) was then introduced into glass bottles containing ferrihydrite to achieve a final ratio of Fe(II)/Fetotal ≈ 0.19. Glass bottles were then vigorously stirred, sealed with butyl rubber stoppers, crimped, quickly brought to their designated ageing temperature of 20 °C, and allowed to age to goethite for 10–120 days. After ageing, goethite products were centrifuged, rinsed at least three times with DDW to remove excess OH, dried at 60 °C, and stored until further analysis. We were not able to stabilize synthesis pH using organic buffers (see ref. 42), as this would add additional organic carbon to the experimental system. Rather, we targeted lower goethite yields to maintain a pH range of 5–7 throughout the experiments.

    Alkaline goethite synthesis

    Goethite was formed in alkaline solution using a modified version of the approach developed in ref. 69. First, 13.515 g of reagent-grade FeCl3 6H2O (Sigma-Aldrich) was dissolved in 50 ml of DDW (+DOC; pre). Then, 90 ml of reagent-grade 5M KOH (Sigma-Aldrich) was added while maintaining vigorous stirring to increase pH to  about 11 and facilitate the formation of red-brown two-line ferrihydrite. This solution was quickly diluted with DDW to reach a final volume of 1 l (+DOC; post). The bottles were then sealed, and ferrihydrite was allowed to ripen to goethite in an oven held at 70 °C for 7–10 days. After ageing, the goethite products were centrifuged, rinsed at least three times with DDW to remove excess –OH, dried at 60 °C and stored until further analysis. Highly alkaline conditions required the use of Teflon flasks to avoid Si dissolution that may occur in glass vessels.

    Haematite synthesis

    Acidic haematite synthesis

    Haematite was formed in acidic conditions using a modified version of the approach described in ref. 45. First, 5.405 g of FeCl3 6H2O was dissolved in 1 l of 1 mM HCl in DDW (+DOC; pre). The bottles were then sealed, and the solution was allowed to react (+DOC; post) in an oven held at 90 °C for 14 days to form haematite. After ageing, haematite products were centrifuged, rinsed at least three times with DDW, dried at 60 °C and stored until further analysis.

    Circumneutral haematite synthesis

    Haematite was formed in circumneutral conditions using a modified version of the approach described in ref. 42, which is itself modified from that in ref. 45. First, solutions of DDW, NaOH and reagent-grade NaHCO3 (Sigma-Aldrich) were prepared and deaerated (that is, purged with 99.99% pure N2) for 2 h to remove any dissolved O2. The solutions were then sealed and transferred to an anaerobic glovebox (O2 < 1 ppm) and were individually pre-heated to the final ageing temperature to ensure consistency in initial reaction conditions. Within the glovebox, 13.40 g FeCl3 6H2O was added to 252 ml of DDW (+DOC; pre), then 150 ml of 1M NaOH followed by 34  ml of 1M NaHCO3 were added to the solution while maintaining vigorous stirring to prevent aggregate formation. The bottles were then sealed (+DOC; post), rigorously shaken and allowed to react in an oven held at either 50 °C or 70 °C for 5–30 days to form haematite (at lower temperatures, it is not possible to obtain mono-mineral haematite under laboratory timescales and circumneutral pH). After ageing, the haematite products were centrifuged, rinsed at least three times with DDW, dried at 60 °C and stored until further analysis. Several iron salt concentrations and compositions were tested before choosing the exact protocol described here (Supplementary Data).

    Characterization of precipitated and natural iron oxides

    To assess the properties and compositional attributes of both precipitated and natural iron oxides, we used a multifaceted characterization approach as detailed below.

    Powder X-ray diffraction

    X-ray diffractograms were obtained using an Empyrean 3 diffractometer equipped with a Cu-Kα (1.541,84 Å) X-ray source and a PIXcel3D detector. Patterns for laboratory-precipitated haematite and goethite were acquired by step scanning from 10° to 50° 2θ in 0.01° increments at a scan rate of 0.35° min−1. For natural samples, the scanning range was from 10° to 80° 2θ in 0.02° increments at a scan rate of 0.95° min−1. The obtained X-ray diffractograms were automatically matched against the International Center for Diffraction Data database and the Crystallography Open Database.

    Scanning electron microscopy and energy-dispersive X-ray spectroscopy

    Scanning electron microscopy imaging and energy-dispersive X-ray spectroscopy elemental mapping were conducted using a Zeiss Sigma scanning electron microscope equipped with an QUANTAX energy-dispersive X-ray spectroscopy (Brucker). The measurements were performed at an operating voltage of 20 kV, using an aperture of 60 μm in analytical high current and vacuum mode.

    Section preparation

    Round, thick, polished sections were prepared by immersing samples in epoxy resin poured into a 1″ round plastic mould. To prevent sample displacement during immersion, the samples were adhered with a double-sided tape. The samples were allowed to dry for 24 h, after which the sections were polished to expose the maximum submerged sample portion and to achieve the desired smoothness (usually ≤1 μm). Thin sections were prepared by first adhering a sample to a glass slide using epoxy. The adhered samples were then ground to a thickness of  about 30 μm while ensuring uniformity across the section. After grinding, each section was polished (usually to ≤1 μm) to remove any surface scratches and enhance clarity.

    Optical microscopy

    Analysis under plane-polarized light was carried out using a Zeiss Axio Scope A1 microscope. Thick and thin sections were observed at varying magnifications to identify the mineralogical phases and their spatial distributions, photographed and documented (see Supplementary Discussion section ‘Geologic descriptions of sampled formations’).

    Raman microspectroscopy

    We used Raman microspectroscopy (LabRAM HR Evolution, Horiba Scientific) to investigate the spatial distribution of organic matter in iron ooids. This system integrates a commercial light microscope (BxFM, Olympus) with an optical box for Raman functionality, key components of which include a diffraction grating (300 lines mm−1), a detector (back-illuminated deep-depleted CCD) and a laser (532 nm, 10 mW). The microscope is equipped with objectives and a motorised XYZ-stage for microspectroscopic Raman interrogation of regions of interest within a given sample.

    Ethanol pre-sonicated whole ooids (verified by light microscopy) were physically fixed within a cylindrical epoxy mould as described above, thus ensuring a flat surface and enabling measurement of Fe-OC spatial distribution both within and on ooid surfaces. Importantly, sections were polished using carbon-free aluminium oxide powder to prevent carbon contamination. To synchronize visual images of regions of interest with their Raman spectra, light microscopy images were acquired before either one-dimensional raster line scanning or two-dimensional raster area mapping using Raman microspectroscopy (Fig. 1). Considering that sample surfaces contain some roughness (that is, ≤1 μm polishing roughness), a low magnification objective was used (either 10× or 50×; MPlanN or LMPlanFLN, respectively, Olympus). This provides a relatively large depth of focus and thus compensates for Raman signal variation due to surface roughness. Theoretical spatial resolution was calculated to be 1.22λ/NA = (1.22 × 532)/0.25 = 2.6 μm. Therefore, a step size of 8–15 μm was used for raster line scanning and area mapping. For each point measurement, the laser exposure time was 5 s, and the spectral window ranged from 50 cm−1 to 3,100 cm−1.

    The presence or absence of Fe-OC in ooid samples was determined using a Raman peak at 1,590 cm−1 (that is, the G-band)70,71 (Fig. 1a). Because haematite exhibits a strong peak at 1,300 cm−1 (that is, near the G-band), the placement of this Fe-OC peak makes the identification of Fe-OC in haematite feasible only if its concentration—and thus signal intensity—is strong72. In an attempt to circumvent this issue, we used other laser wavelengths for haematite ooids (that is, 660 nm and 785 nm), but these spectra did not provide better sensitivity. Owing to this high background from the 1,300 cm−1 haematite peak, the inability to identify Fe-OC cannot be reliably used as evidence for an absence of Fe-OC in haematite ooids. Goethite spectra, in contrast, do not exhibit this behaviour. We, therefore, focus primarily on goethite mineralogy for all Raman line scans and maps.

    Raman spectra were processed using software built in-house. A spectral window of 300–1,800 cm−1, which covers Raman signals of goethite and organic matter, was chosen for data processing and analysis. Resulting spectra underwent smoothing (that is, de-noising) using a Savitzky–Golay filter (polynomial order 3 and window size 5) and baseline subtraction using a first- or third-order polynomial algorithm. The presence of Fe-OC was determined by calculating the ratio I1,450–1,700/I1,200–1,450, where I represents integrated intensity within the defined spectral window. These spectral windows were chosen here to represent the range containing the diagnostic Fe-OC peak (that is, 1,450–1,700 cm−1) and that of a background peak that is insensitive to the presence or absence of Fe-OC (that is, 1,200–1,450 cm−1). Using this ratio, a threshold value was selected based on visual inspection of the raw data to convert the calculated values to a binary format, indicating the presence or absence of organic matter (1 or 0, respectively). The threshold values are sensitive to sample-specific characteristics (for example, surface roughness) and are thus recalculated for each line scan or map (for example, Panarea Island threshold = 0.600; Aseri Fm threshold = 0.715; Sillaoru Fm threshold = 0.975; Fig. 1). Although variable and based on visual data inspection, these thresholds are chosen to be conservative (that is, equal to or greater than the maximum measured intensity ratio of line scan or map pixels that are known to be free of Fe-OC, for example of epoxy resin or silicate/carbonate cements).

    X-ray fluorescence

    To ascertain the elemental composition of extracted goethite and haematite ooids, the samples were ground to powder form and subsequently analysed using a Niton XL5 Plus XRF (Thermo Scientific). Each powdered sample was analysed three times, and the powder was mixed in the measuring cup between runs to ensure signals were representative.

    Extraction and analysis of ooid-bound DNA

    Microbial community compositions of DNA contained in modern ooids from Panarea Island, Italy44, were determined to assess the potential impacts of iron-oxidizing biofilms. Specifically, ooids were hand-picked and split into two groups that were either subjected to (1) sonication in pure ethanol using a sonicator probe to remove surface DNA contamination (that is, analysis of internal DNA only) or (2) no cleaning procedure (that is, analysis of surface-bound and internal DNA). Both groups were then ground within a laminar flow hood (that is, to prevent biological contamination) to expose internal DNA and maximize extraction efficiency. DNA extractions were then performed on both fractions (3 g per extraction, triplicate extractions per group) using a phenol-chloroform-based approach73. Quantification using a Qubit 3.0 fluorometer and the dsDNA HS Assay (Thermo Fisher Scientific) showed that sonicated ooids yielded DNA concentrations of 0.171 ng μl−1, 0.238 ng μl−1 and 0.211 ng μl−1 (n = 3 extractions), whereas non-sonicated ooids yielded higher concentrations of 0.442 ng μl−1, 0.457 ng μl−1 and 0.441 ng μl−1 (n = 3 extractions); this supports the hypothesis that sonication effectively removes surface-bound DNA.

    All extracts were then purified with AMPure XP beads (Beckman Coulter). To perform amplicon sequencing of the microbial 16S rRNA gene, sequencing libraries were prepared following a two-step PCR approach. In the first step, bacterial 16S PCRs were performed using Illumina-adaptor primer pair 515F (GTGYCAGCMGCCGCGGTAA) and 926R (CCGYCAATTYMTTTRAGTTT) and KAPA HiFi HotStart ReadyMix PCR kit (Roche Molecular Systems), targeting the V4–V5 hypervariable regions of the 16S rRNA gene (Supplementary Tables 4 and 5). Products of the first-step PCR were then submitted to Microsynth AG (Balgach, Switzerland) for preparation of Illumina Nextera barcoded second-step PCR libraries and sequencing on Illumina NovaSeq (2 × 250 cycles) (Illumina).

    Unfortunately, the quantity and quality of most extracts were insufficient for reliable sequencing results, leading to only one successful analysis of a single non-sonicated extract and no successful analyses of any sonicated extracts. The results are thus interpreted to reflect a combination of surface-bound and internal DNA. For this successful extract, 115,236 reads were obtained after sequencing. Adaptor sequences were removed using cutadapt v.3.4 (ref. 74). Sequence analysis was then performed in R v.4.3.1 using DADA2 (v.1.30) (ref. 75) for quality filtering and amplicon sequence variant (ASV) assignment according to published protocols. As low microbial biomass samples are prone to being contaminated by trace amounts of DNA contaminants from extraction reagents, many taxa (for example, Comamonadaceae, Sporichthyaceae, Sphingomonadaceae and Enterobacteriaceae) were removed based on what was detected in the negative control sample (containing extraction reagents only). Taxonomy was assigned using the SILVA reference database v.138.1 using IDTAXA (threshold = 60) (ref. 76) and DECIPHER v.2.3 (ref. 77).

    Removal of ferrihydrite-bound and adsorbed OC

    After each synthesis, the products were divided into three fractions and subjected to a washing procedure to step-wise remove OC bound to poorly crystalline phases and OC adsorbed to crystalline mineral surfaces. These fractions were treated as follows: First, one fraction was rinsed three times with DDW, dried at 60 °C and stored until further analysis (termed raw). Second, one fraction was treated with a 1 M HCl solution at room temperature for about 1 h to remove residual untransformed ferrihydrite or other poorly crystalline phases (termed −Fh/PC) (ref. 45). This fraction was then washed, dried and stored as described for the raw fraction. Finally, one fraction was treated with 1 M HCl solution as described for  −Fh/PC and was subsequently treated with a 1 M MgCl2 solution at room temperature for  about 1 h to chelate and remove any loosely bound (adsorbed) Fe-OC complexes on the crystalline mineral surfaces (termed −Fh/PC− ads. OC) (ref. 78). Each fraction was assessed by XRD to ensure that each step does not influence crystalline iron oxide mineralogy.

    Preparation and extraction of geologic iron ooids

    Bulk ooidal ironstone samples were initially subjected to gentle crushing using a hydraulic press. On fragmentation, individual ooids were selected from the debris on an aluminium foil using tweezers. For more efficient separation, a strong neodymium hand magnet was used to enhance the ooid yield. Following this, a light microscope inspection ensured the inclusion of only intact ooids (that is, broken ooids were not considered).

    Whole ooids subsequently underwent a washing cycle involving three DDW rinses. They were then exposed to a 1 M trace-grade HCl (Sigma-Aldrich) solution for 1 h at ambient conditions to eliminate any poorly crystalline phases and potential carbonates, both inherent to the rock matrix and within the ooids themselves. After acid treatment, ooids were immersed in a trace-metal grade 1 M MgCl2 solution (Sigma-Aldrich) for 1 h to chelate and remove any loosely bound Fe-OC complexes. The ooids were then rinsed three times with DDW and air-dried in an oven at 60 °C and pulverized using an agate mortar and pestle until a fine powder was obtained. The preliminary tests verified that the resulting powder granularity was finer than 20 μm. Finally, the powdered samples were resubjected to the HCl and MgCl2 treatments described above to ensure that the final products are free of carbonates, poorly crystalline phases and adsorbed OC (that is, −Fh/PC− ads. OC).

    Analytical methods for measuring Fe-OC content and isotope compositions

    Organic carbon contents, reported as wt% OC, and isotope compositions, reported as δ13C in ‰ relative to Vienna Pee Dee Belemnite (VPDB), of iron (oxyhydr)oxides were quantified using a Thermo Scientific Flash Elemental Analyser coupled to a Thermo Scientific Delta V Isotope Ratio Mass Spectrometer (EA-IRMS). Samples were combusted in the presence of O2 in an oxidation column at 1,020 °C. Combustion gases passed through a reduction column at 650 °C, in which the N2 and CO2 gases produced were separated chromatographically and transferred to the IRMS by an open split for online isotope measurements.

    For calibration, approximately 30–60 mg of each protocol-treated iron (oxyhydr)oxide sample was aliquoted into triplicate tin capsules. These were crimped and loaded into a helium-flushed autosampler. Both wt% OC and δ13C values were calibrated using in-house standards, including Atropina (δ13C = −21.4‰, 70.56% carbon; Thermo Fisher), Nicotinamid (δ13C = −42.2‰, 59% carbon; Thermo Fisher), Pepton (δ13C = −15.6‰, 44% carbon; Sigma-Aldrich) and Bodenstand 5 (0.141% carbon; HEKAtech). These standards were analysed between about every   10 samples. Furthermore, δ13C was calibrated using the international standards NBS22 (δ13C = −30.03‰) and IAEA CH-6 (δ13C = −10.46‰). Uncertainty was determined as the standard deviation (±1σ) of triplicate measurements; system reproducibility is typically better than 0.2‰ for δ13C.

    To estimate ooid formation timescales, actively forming modern iron ooids were additionally analysed for 14C activities—reported as Fm relative to 95% of the 14C activity of the NBS Oxalic Acid I standard in 1950 and corrected to a δ13C value of −25‰ VPDB79. Specifically, 14C activities were measured using an Elementar PyroCube EA connected to an IonPlus mini radiocarbon dating system accelerator mass spectrometer (EA-AMS) operated using a gas ion source80,81. Similar to EA-IRMS analysis,  about 30–60 mg of each iron (oxyhydr)oxide sample was aliquoted into tin capsules, which were crimped and loaded into a helium-flushed autosampler. Oxalic acid II NIST SRM 4990C standard was measured for fractionation correction and standard normalization. The background of the EA was assessed with phthalic anhydride (PHA, Sigma, PN-320064-500g, LN-MKBH1376V), which was weighed into the same capsules used for the samples and therefore included the respective possible contamination. Uncertainty was determined as the standard deviation (±1σ) of propagated blank correction and analytical error from 14C counting statistics. Fm values were additionally converted to uncalibrated 14C ages as

    $$genfrac{}{}{0ex}{}{14}{}{{rm{C}}}_{text{age}}=-8033times ln(text{Fm}),$$

    (2)

    reported in units of 14C yr bp (ref. 82).

    Data compilation

    To compare our Fe-OC δ13C record to other OC records, we compiled literature δ13C values for (1) kerogen, (2) crude oil and (3) carbonate-associated OC. All compiled data, including literature references for each data point, are reported in the Supplementary Data. Compilation details are described below:

    Kerogen

    Kerogen OC δ13C values over the period 0–2,500 Ma were compiled from refs. 83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111. This time range was chosen as it broadly encompasses our Fe-OC δ13C record as well as the Great Oxygenation Event (GOE), which would be expected to affect carbon cycle and thus OC δ13C values. All literature data that are explicitly stated to be kerogen and contain a reported depositional age were included in our compilation. Some datasets exhibit a positive correlation between measured OC content and δ13C value, indicating incomplete carbonate removal during analysis. For these datasets, we only include the δ13C value from the sample with the lowest OC content. Moreover, we specifically focused on samples characterized by conditions below the greenschist facies. This criterion was applied to exclude any potential isotopic alterations that might occur under higher-grade metamorphic influences.

    Crude oil

    Crude oil δ13C values over the period about 0–600 Ma (that is, the oldest reliable age reported in the literature) were taken from the compilation of ref. 112 and supplemented with data from refs. 90,98,113,114,115,116,117,118,119,120,121,122,123,124. Unlike for kerogen, more care must be taken when reporting crude oil ages because depositional age can differ from host-rock age due to oil migration. We, therefore, considered only literature data that explicitly reported oil depositional age, and we omitted those data points that reported only host-rock age (that is, with unknown oil depositional age). No further filtering was implemented.

    Carbonate-associated OC

    Finally, carbonate-associated OC δ13C values over the period 0–2,500 Ma were taken from the filtered compilation of ref. 56. The authors of ref. 56 excluded sediments from non-marine, authigenic and heavily metamorphosed settings in their filtering procedure. We adopted this filtered dataset without modification or addition.

    Computational methods

    All model calculations (see Supplementary Discussion section ‘Estimating DOC concentrations and δ13C values from iron ooid Fe-OC’) were written in MATLAB and carried out on the ETH Euler scientific computing cluster (https://ethz.ch/de/news-und-veranstaltungen/eth-news/news/2014/05/euler-mehr-power-fuer-die-forschung.html).

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  • Undisputed developer Steel City Interactive opens Leamington studio

    Undisputed developer Steel City Interactive opens Leamington studio

    Undisputed developer Steel City Interactive has opened its second UK studio to build on the success of the boxing franchise.

    The new opening is billed as a “satellite studio” and will be located in Leamington Spa, which is home to a myriad of game studios.

    “Leamington Spa has played a key role in game development in the UK. We’re delighted to join our fellow game studios in what is one of the country’s most exciting and innovative areas for game development,” said Steel City VP of product development Clive Moody. 

    With that in mind, the company has bolstered its leadership team with a quintet of senior appointments including Nathan Fisher (head of art), Alison Beasley (head of marketing and communications), Sylvain Cornillon (head of technology), Todd Matherne (head of QA), and Anna Lapworth (head of people and culture).

    Steel City VP of studio, Tim Coupe, said the company established a second studio to attract more senior talent and strengthen its network beyond its HQ in Sheffield.

    Undisputed has amassed 2 million players since launching on console and PC in October 2024. Steel City said it remains committed to supporting the title while “actively building the next-generation of boxing entertainment.”


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  • Clinically Significant Fatigue and Inflammation in Breast Cancer Survivors

    Clinically Significant Fatigue and Inflammation in Breast Cancer Survivors

    Clinically significant fatigue was associated with increased inflammation in breast cancer survivors, according to study findings published in BMC Women’s Health. The study authors also suggested that an increase in inflammatory markers from clinical fatigue could lead to breast cancer recurrence. 

    “Studying inflammation in breast cancer survivors is important because past research has shown a link between inflammation and cancer progression or recurrence,” stated lead study author Ali A. Weinstein, PhD, Professor, Global and Community Health, and Senior Scholar, Center for the Advancement of Well-Being, George Mason University College of Public Health. “Fatigue can also strongly influence survivors’ daily quality of life, and we suspect it may be connected to inflammation. We’re working to better understand that connection, particularly with short-term exposures that may accumulate—and increase inflammation—over time.” 

    Study Methods and Rationale 

    The researchers conducted a pilot study of responses to physically and mentally tiring tasks completed by breast cancer survivors to measure changes in inflammatory cytokines and fatigue.  

    They recruited 46 women who were breast cancer survivors, and these women were randomly assigned to three groups looking at exposure to physical fatigue, mental fatigue, or the control group. In the physical fatigue group, participants completed a 6-minute walking or running test. In the mental fatigue group, participants performed a dual 2-back computer task. In the control group, participants watched a nature video for 6 minutes. 

    Using the Bio-Plex 200 Suspension Array System, researchers looked at serum levels of IL-1β, IL-4, IL-5, IL-6, IL-8, IL-10, eotaxin, TNF-α, TGF-β1, and VEGF as indicators of inflammation related to immune function, stress, and mood. These samples were collected before the tasks, immediately after, and again after a 30-minute recovery period. 

    Key Study Findings 

    The study did not find many statistically significant changes in inflammatory markers in response to the short fatigue-inducing tasks in the interventional groups. 

    However, levels of TGF-β and eotaxin were consistently changed showing responses to fatigue-inducing tasks, especially in patients with clinical fatigue.  

    The study authors concluded that “acute fatigue challenges, the kind that [breast cancer survivors] would be exposed to in everyday circumstances, does increase inflammatory responses, and those with clinically significant levels of fatigue at baseline are more likely to show these effects.”

    Disclosure: The study was funded by a grant from the PNC Charitable Trust. For full disclosures of the study authors, visit link.springer.com. 

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  • These tiny flyers levitate on the Sun’s heat alone

    These tiny flyers levitate on the Sun’s heat alone

    Devices (artist’s illustration) kept aloft by sunlight could take sensors into an understudied layer of the atmosphere.Credit: Schafer et al. Nature (2025)

    Theory and mathematics said his device would fly. But Ben Schafer was still pleasantly surprised the first time he flipped a switch and watched the centimetre-square device his team had built levitate, if only for a moment before flipping over.

    It was a proof of concept for a design that has been published today in Nature1. One day, it might enable swarms of tiny, unpowered flying saucers and other devices with no moving parts to explore the highest reaches of Earth’s atmosphere ― near the edge of space ―using sunlight alone to remain aloft.

    “You don’t really believe it until you see it,” says Schafer, a physicist at Harvard University in Cambridge, Massachusetts.

    Spin class

    To design their flying saucer, Schafer and his team capitalized on a quirk of physics that was discovered in the late 1800s. The idea was encapsulated in a weathervane-like device encased in a low-pressure chamber that will spin if exposed to light, without the input of any other force. The chamber apparatus, called a Crookes radiometer, is now a classic science-education device.

    What is new is the design. Schafer and his team used modern nanofabrication techniques to create an ultralight two-layered wafer. The layers, which are made of aluminium oxide, are roughly 1,000 times thinner than a typical human hair and are connected by narrow filaments. The top layer is transparent, allowing sunlight to shine through it, and the bottom layer is coated in chromium, which absorbs sunlight.

    When gas molecules hit the bottom layer, they absorb some of its heat and then bounce off the device with more momentum than gas molecules bouncing off the colder, top layer — an effect that pushes the wafer upwards. The conditions for such reactions can be found in the mesosphere, the layer of the atmosphere some 50 to 100 kilometres above Earth’s surface.

    Importantly, Schafer’s device includes a new feature: the two layers are perforated with holes that allow gas molecules to move from the cold and transparent side to the hot chromium side, creating lift that is similar to that created by a helicopter’s whirring rotor, says Igor Bargatin, an engineer at the University of Pennsylvania in Philadelphia who has pioneered work on similar devices.

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  • Changing the Biology of Myelodysplastic Syndromes With Luspatercept

    Changing the Biology of Myelodysplastic Syndromes With Luspatercept

    In an interview with Targeted Oncology, Guillermo Garcia-Manero, MD, discusses the COMMANDS trial, a phase 3 study comparing luspatercept (Reblozy) to epoetin alfa. COMMANDS has rovided groundbreaking insights into the treatment of low-risk myelodysplastic syndromes (MDS). A recent, long-term follow-up analysis revealed a significant and unexpected finding: luspatercept not only improves transfusion independence but also prolongs patient survival. This is a transformative discovery for a field that has historically focused on mitigating symptoms rather than extending life.

    The survival benefit of luspatercept isn’t immediately apparent. As Garcia-Manero notes, low-risk MDS is a disease with a relatively long natural history. Patients don’t die quickly from the condition, so a survival curve showing a difference between the treatment groups takes time to diverge. The data presented showed that the survival curves for luspatercept and epoetin alfa began to separate around 36 months, a timeline that aligns with the slow-progressing nature of the disease. This delayed effect is a key characteristic of the COMMANDS trial results and is a crucial point for understanding the mechanism of action. It suggests that luspatercept isn’t just a short-term fix; it’s a therapeutic agent that fundamentally alters the disease’s trajectory over time.

    While the primary benefits of luspatercept—increased hemoglobin levels and reduced transfusion rates—undoubtedly contribute to better patient outcomes, the speaker believes the survival benefit extends beyond these factors. The speaker speculated that the drug’s mechanism as a TGF-beta modulator may have broader systemic effects. TGF-beta is a cytokine involved in numerous biological processes, including inflammation, fibrosis, and cellular growth. The speaker posited that by modulating TGF-beta, luspatercept could be impacting other tissues and organs, such as the heart and lungs, which are often affected by the long-term complications of chronic anemia and frequent transfusions. For instance, reduced cardiac stress from improved hemoglobin levels and less iron overload from fewer transfusions could both be factors. Garcia-Manero highlights the need for further research to explore these “off-target” effects of luspatercept, as they could provide a more complete explanation for the observed survival benefit.

    This finding represents a significant paradigm shift in how we approach the treatment of low-risk MDS. Previously, interventions were primarily aimed at improving quality of life by reducing the need for transfusions. Garcia-Manero emphasizes that with this new data, clinicians and patients will begin to view luspatercept not just as a supportive therapy but as a life-extending treatment. This is particularly relevant given that roughly two-thirds of all patients with MDS are diagnosed with a low-risk subtype. For a long time, the treatment of this patient population was not as aggressive as it could have been, often limited to observation and transfusion support. The COMMANDS trial findings will likely change this, prompting a more proactive and aggressive treatment strategy from the outset. Patients, now aware of the potential for extended survival, are likely to be more engaged and interested in this treatment option. This study elevates the conversation around MDS treatment from symptom management to truly improving long-term outcomes and survival.

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  • Former British officer sues Ministry of Defense over handling of Afghan data breach

    Former British officer sues Ministry of Defense over handling of Afghan data breach


    LONDON: Senior figures in the UK’s ruling Labour Party are sounding the alarm over the government’s banning of the group Palestine Action.


    It comes after hundreds of people were arrested in London last weekend under Section 13 of the Terrorism Act.


    The protesters had held signs demonstrating support for Palestine Action, which was proscribed as a terrorist organization in July.


    Former Minister Peter Hain said the issue “will end in tears for the government,” The Guardian reported on Wednesday.


    The former anti-apartheid activist added: “We are seeing retired magistrates, retired and serving doctors and all sorts of people being arrested and now effectively being equated with terrorists such as Al-Qaeda, which is absolutely wrong.”


    If the ban is contested through a legal challenge and overturned, it “would be a mercy to all concerned, including the government,” he said.


    Hain was one of three Labour peers in the House of Lords who voted against the ban last month.


    “It’s going to get worse (for the government) because I don’t see people from that ‘middle Britain’ background who have joined these protests in such large numbers to suddenly decide that all is OK,” he said.


    “In fact, I think more are going to come out and face arrest because the approach to Palestine Action is contrary to every form of peaceful protest in British history, whether that’s the chartists and suffragettes, or anti-apartheid and anti-fascist protesters.”


    The government has faced mounting pressure over the ban after it emerged that of the 532 arrested under the Terrorism Act on the weekend, half were aged 60 or older.


    Hain served as secretary of state for Northern Ireland, a role that gave him great insight into the realities of terrorism.


    “There is a battery of other crimes that could be applied to Palestine Action but terrorism is not one of them, while you also devalue the charge of terrorism by equating it with the protests we have seen,” he said.


    “I … worked with the intelligence services and others to stop dissident IRA (Irish Republican Army) groups from killing. I have signed warrants to stop other real terrorists, Islamist terrorists, bombing London. So, I am not soft on terrorism. But I am a strong believer that you have to know what it looks like.”


    Many Labour MPs and peers are now doubting the decision to ban Palestine Action, Hain added.


    The government has justified the proscription by describing the group as a “violent organization” that was planning to carry out extensive attacks.


    Home Secretary Yvette Cooper said court restrictions have prevented the British public from discovering the “full nature of this organization.”


    However, Labour peer Shami Chakrabarti warned that the ban could result in an “I am Spartacus” moment, The Independent reported on Wednesday.


    She was referring to the 1960 film “Spartacus,” and a situation in which a group of people claim to be one person in an act of solidarity against an authority.


    The civil liberties campaigner urged the government to “think again” over the ban, saying her worries are “greater now even than they were before” after last weekend’s mass arrests.


    Chakrabarti told BBC Radio 4’s “Today” program: “There are blurred lines now … some people are, as always, protesting about the horrific events they’re watching unfold in Gaza, but others think they’re standing up for civil liberties because this ban was disproportionate.”


    She added that a distinction must be made between criminal damage and terrorism, and that “spraying paint on airplanes,” as Palestine Action members did, “is not the same as being the IRA or Al-Qaeda.”


    Saturday’s mass arrest of protesters is believed to be the largest of its kind by London’s Metropolitan Police since the poll tax riot of 1990.


    Rights groups including Amnesty International and Liberty warned that the arrests were “disproportionate to the point of absurdity,” and that the Terrorism Act is threatening freedom of expression.


    Chakrabarti said: “And so we’ve got more people taking to the streets, a bigger headache for the police. Frankly, I’m very sympathetic to the police on this issue. I think it may be time to think again.”

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  • Talal Chaudhry refutes ‘Overnight’ Masjid, Madrassa relocation claims

    Talal Chaudhry refutes ‘Overnight’ Masjid, Madrassa relocation claims

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    ISLAMABAD, Aug 13 (APP): Minister of State for Interior Talal Chaudhry Wednesday refuted claims that mosques or madrassas had been relocated overnight without consultation, stressing that the entire process was carried out over several months with full respect for religious sentiments.

    Responding to a point raised by Maulana Fazlur Rehman in the National Assembly, he said recent remarks regarding the relocation of a mosque and madrassa did not reflect the facts shared earlier on the floor of the House and in meetings with religious scholars. He added that Maulana Ghafoor Haideri had also been briefed in detail during multiple meetings, including one held three days ago with scholars from Rawalpindi and Islamabad.

    Talal Chaudhry stated that reports about the government planning to relocate 50 or 55 mosques were baseless and had been categorically denied both in the House and in meetings with the ulema. He said the specific relocation in question had been under consultation since January with the seminary’s administration, who selected the new location of their own choice.

    He said a modern building for the madrassa, equipped with all necessary facilities, had been constructed at a cost of Rs 40 million and completed in July. In the last week of July, 185 students, along with their administrator and teachers, voluntarily shifted to the new premises, taking all valuable items — including doors, windows, and fans — with them.

    The minister added that the old structure was demolished in the presence of religious scholars, ensuring that the sanctity of the madrassa and mosque was fully respected. The entire process, he stressed, had taken place over eight months and not overnight.

    He reiterated that the government, from the Prime Minister down to the administration, respected religious matters, created ease for all sects and faiths, and acted strictly in line with the Constitution of Pakistan. He said further consultations were scheduled to ensure all stakeholders remained on board, and no action would be taken that could hurt public or religious sentiments. /APP-rzr-raz

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  • OpenAI Introduces GPT-5 Modes, Giving Users More Control Over ChatGPT

    OpenAI Introduces GPT-5 Modes, Giving Users More Control Over ChatGPT

    TLDRs:

    • OpenAI launches GPT-5 modes in ChatGPT, allowing users to choose Auto, Fast, or Thinking modes.
    • GPT-5 Thinking mode supports up to 196,000 tokens with a weekly 3,000-message limit.
    • CEO Sam Altman promises future updates for AI personality customization in ChatGPT.
    • OpenAI staff awarded selective bonuses ahead of GPT-5 launch to retain top AI talent.

    OpenAI has rolled out new modes for GPT-5 in ChatGPT, giving users unprecedented control over the AI’s performance.

    CEO Sam Altman announced on Wednesday that users can now toggle between “Auto,” “Fast,” and “Thinking” modes, enhancing flexibility depending on the task at hand. The move aims to balance speed, depth, and contextual understanding while making the AI experience more customizable.

    Paid ChatGPT subscribers now access the 4o model by default and can use a new toggle to explore additional options, including o3, 4.1, and the GPT-5 Thinking mini model. The full GPT-5 Thinking mode carries a weekly message cap of 3,000, after which users may continue via the mini version.

    Notably, this mode offers a massive context limit of 196,000 tokens, positioning it competitively against other advanced AI platforms. However, GPT-4.5 remains restricted to Pro users due to high GPU costs, highlighting ongoing compute challenges for AI companies.

    AI Personality Gets a Warm Upgrade

    Altman also revealed that OpenAI is refining GPT-5’s personality to be “warmer but not as annoying,” addressing long-standing user feedback from GPT-4. Studies suggest AI personality significantly influences satisfaction, trust, and engagement.

    By focusing on emotional connection alongside technical accuracy, OpenAI signals that successful AI interaction now depends as much on relatability as on raw capability.



    The company is exploring per-user customization, responding to growing demand for personalized AI experiences.

    Current research indicates that 71% of consumers expect tailored content, and organizations prioritizing personalization report higher engagement and revenue. By letting users shape the AI’s tone and responsiveness, OpenAI hopes to deliver a more human-like experience without compromising professional reliability.

    Rewards for AI Talent

    Ahead of GPT-5’s launch, OpenAI awarded select staff generous bonuses to retain critical talent amid intense industry competition.

    Around a third of employees, mainly researchers and engineers, received bonuses distributed over two years, with top researchers earning mid single-digit millions.

    While this move reflects the extraordinary valuation of AI expertise today, selective awards carry risks, including potential morale issues among non-recipient staff.

    Looking Ahead

    OpenAI also plans to expand user access to Pro-level queries for Plus users once compute capacity allows. This strategic approach demonstrates a focus on balancing accessibility, performance, and innovation while maintaining high-quality interactions.

    The launch of GPT-5 modes represents a notable evolution in AI usability. By combining performance choices, high-context processing, and the promise of customizable personalities, OpenAI is signaling that future AI success will hinge as much on user experience as on technical prowess.

     


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